installing dependencies ‘casebase’, ‘cmprsk’, ‘data.table’, ‘doParallel’, ‘flexsurv’, ‘foreach’, ‘gbm’, ‘ggplot2’, ‘glmnet’, ‘grpreg’, ‘hal9001’, ‘lava’, ‘mets’, ‘mstate’, ‘mvtnorm’, ‘nnls’, ‘numDeriv’, ‘party’, ‘pec’, ‘penalized’, ‘plotrix’, ‘pROC’, ‘prodlim’, ‘Publish’, ‘R.rsp’, ‘randomForest’, ‘randomForestSRC’, ‘ranger’, ‘Rcpp’, ‘RcppArmadillo’, ‘rms’, ‘scam’, ‘smcfcs’, ‘SuperLearner’, ‘testthat’, ‘timereg’ also installing the dependencies ‘rappdirs’, ‘bit’, ‘prettyunits’, ‘bitops’, ‘cachem’, ‘memoise’, ‘mime’, ‘sass’, ‘bit64’, ‘progress’, ‘gtools’, ‘caTools’, ‘utf8’, ‘parallelly’, ‘bslib’, ‘fontawesome’, ‘jquerylib’, ‘tinytex’, ‘bdsmatrix’, ‘clipr’, ‘crayon’, ‘hms’, ‘vroom’, ‘tzdb’, ‘gplots’, ‘farver’, ‘labeling’, ‘fansi’, ‘pillar’, ‘pkgconfig’, ‘future’, ‘globals’, ‘TH.data’, ‘gridExtra’, ‘viridis’, ‘base64enc’, ‘rmarkdown’, ‘Formula’, ‘MatrixModels’, ‘htmlwidgets’, ‘rstudioapi’, ‘fastmap’, ‘highr’, ‘xfun’, ‘yaml’, ‘backports’, ‘enrichwith’, ‘bbmle’, ‘fastGHQuad’, ‘cpp11’, ‘listenv’, ‘stringi’, ‘libcoin’, ‘matrixStats’, ‘igraph’, ‘readr’, ‘visNetwork’, ‘ROCR’, ‘fs’, ‘pkgbuild’, ‘rprojroot’, ‘diffobj’, ‘iterators’, ‘cli’, ‘glue’, ‘gtable’, ‘isoband’, ‘lifecycle’, ‘rlang’, ‘scales’, ‘tibble’, ‘vctrs’, ‘withr’, ‘future.apply’, ‘progressr’, ‘SQUAREM’, ‘diagram’, ‘multcomp’, ‘RcppEigen’, ‘Hmisc’, ‘quantreg’, ‘SparseM’, ‘polspline’, ‘htmlTable’, ‘htmltools’, ‘digest’, ‘colorspace’, ‘knitr’, ‘shape’, ‘VGAM’, ‘checkmate’, ‘abind’, ‘brglm2’, ‘assertthat’, ‘deSolve’, ‘generics’, ‘magrittr’, ‘muhaz’, ‘quadprog’, ‘rstpm2’, ‘purrr’, ‘statmod’, ‘tidyr’, ‘dplyr’, ‘tidyselect’, ‘origami’, ‘stringr’, ‘RColorBrewer’, ‘viridisLite’, ‘modeltools’, ‘strucchange’, ‘coin’, ‘zoo’, ‘sandwich’, ‘riskRegression’, ‘plyr’, ‘data.tree’, ‘DiagrammeR’, ‘gam’, ‘cvAUC’, ‘brio’, ‘callr’, ‘desc’, ‘evaluate’, ‘jsonlite’, ‘pkgload’, ‘praise’, ‘processx’, ‘ps’, ‘R6’, ‘waldo’, ‘R.methodsS3’, ‘R.oo’, ‘R.utils’, ‘R.cache’ begin installing package ‘rappdirs’ begin installing package ‘bit’ begin installing package ‘prettyunits’ begin installing package ‘bitops’ begin installing package ‘mime’ begin installing package ‘gtools’ begin installing package ‘utf8’ begin installing package ‘parallelly’ begin installing package ‘bdsmatrix’ begin installing package ‘clipr’ begin installing package ‘crayon’ begin installing package ‘farver’ begin installing package ‘labeling’ begin installing package ‘fansi’ begin installing package ‘pkgconfig’ begin installing package ‘globals’ begin installing package ‘TH.data’ begin installing package ‘base64enc’ begin installing package ‘Formula’ begin installing package ‘MatrixModels’ begin installing package ‘rstudioapi’ begin installing package ‘fastmap’ begin installing package ‘xfun’ begin installing package ‘yaml’ begin installing package ‘backports’ begin installing package ‘enrichwith’ begin installing package ‘cpp11’ begin installing package ‘listenv’ * installing *source* package ‘pkgconfig’ ... ** this is package ‘pkgconfig’ version ‘2.0.3’ ** package ‘pkgconfig’ 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 (pkgconfig) begin installing package ‘stringi’ * installing *source* package ‘clipr’ ... ** this is package ‘clipr’ version ‘0.8.0’ ** package ‘clipr’ 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 (clipr) begin installing package ‘matrixStats’ * installing *source* package ‘rappdirs’ ... ** this is package ‘rappdirs’ version ‘0.3.3’ ** package ‘rappdirs’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmph4Bji2/R.INSTALL3119af7a45e012/rappdirs/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c win-path.c -o win-path.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o rappdirs.so init.o win-path.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmph4Bji2/R.INSTALL3119af7a45e012/rappdirs/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-rappdirs/00new/rappdirs/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 (rappdirs) begin installing package ‘fs’ * installing *source* package ‘Formula’ ... ** this is package ‘Formula’ version ‘1.2-5’ ** package ‘Formula’ 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 (Formula) begin installing package ‘rprojroot’ * installing *source* package ‘mime’ ... ** this is package ‘mime’ version ‘0.13’ ** package ‘mime’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpQbwnqr/R.INSTALL3119c6371962d6/mime/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rawmatch.c -o rawmatch.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o mime.so init.o rawmatch.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpQbwnqr/R.INSTALL3119c6371962d6/mime/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-mime/00new/mime/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 (mime) begin installing package ‘iterators’ * installing *source* package ‘cpp11’ ... ** this is package ‘cpp11’ version ‘0.5.2’ ** package ‘cpp11’ 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 (cpp11) begin installing package ‘cli’ * installing *source* package ‘base64enc’ ... ** this is package ‘base64enc’ version ‘0.1-3’ ** package ‘base64enc’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp3J9Y3Z/R.INSTALL311a053b97b7ed/base64enc/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c base64.c -o base64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c uriencode.c -o uriencode.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8.c -o utf8.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o base64enc.so base64.o uriencode.o utf8.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp3J9Y3Z/R.INSTALL311a053b97b7ed/base64enc/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-base64enc/00new/base64enc/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 (base64enc) begin installing package ‘glue’ * installing *source* package ‘bitops’ ... ** this is package ‘bitops’ version ‘1.0-9’ ** package ‘bitops’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpOvBlEn/R.INSTALL3119c134835cd2/bitops/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bit-ops.c -o bit-ops.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cksum.c -o cksum.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o bitops.so bit-ops.o cksum.o init.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpOvBlEn/R.INSTALL3119c134835cd2/bitops/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-bitops/00new/bitops/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 (bitops) begin installing package ‘isoband’ * installing *source* package ‘prettyunits’ ... ** this is package ‘prettyunits’ version ‘1.2.0’ ** package ‘prettyunits’ 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 (prettyunits) begin installing package ‘rlang’ * installing *source* package ‘labeling’ ... ** this is package ‘labeling’ version ‘0.4.3’ ** package ‘labeling’ 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 (labeling) begin installing package ‘withr’ * installing *source* package ‘listenv’ ... ** this is package ‘listenv’ version ‘0.9.1’ ** package ‘listenv’ 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 (listenv) begin installing package ‘SQUAREM’ * installing *source* package ‘backports’ ... ** this is package ‘backports’ version ‘1.5.0’ ** package ‘backports’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpZRJvhA/R.INSTALL311a143f358d2e/backports/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dotsElt.c -o dotsElt.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dotsLength.c -o dotsLength.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dotsNames.c -o dotsNames.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o backports.so dotsElt.o dotsLength.o dotsNames.o init.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpZRJvhA/R.INSTALL311a143f358d2e/backports/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-backports/00new/backports/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 (backports) begin installing package ‘SparseM’ * installing *source* package ‘rstudioapi’ ... ** this is package ‘rstudioapi’ version ‘0.17.1’ ** package ‘rstudioapi’ 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 (rstudioapi) begin installing package ‘polspline’ * installing *source* package ‘crayon’ ... ** this is package ‘crayon’ version ‘1.5.3’ ** package ‘crayon’ 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 (crayon) begin installing package ‘digest’ * installing *source* package ‘globals’ ... ** this is package ‘globals’ version ‘0.18.0’ ** package ‘globals’ 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 (globals) begin installing package ‘colorspace’ * installing *source* package ‘gtools’ ... ** this is package ‘gtools’ version ‘3.9.5’ ** package ‘gtools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpwQD6gZ/R.INSTALL3119cd64ff4611/gtools/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c roman2int.c -o roman2int.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c setTCPNoDelay.c -o setTCPNoDelay.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o gtools.so init.o roman2int.o setTCPNoDelay.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpwQD6gZ/R.INSTALL3119cd64ff4611/gtools/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-gtools/00new/gtools/libs ** R ** data ** 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 (gtools) begin installing package ‘shape’ * installing *source* package ‘iterators’ ... ** this is package ‘iterators’ version ‘1.0.14’ ** package ‘iterators’ 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 (iterators) begin installing package ‘VGAM’ * installing *source* package ‘enrichwith’ ... ** this is package ‘enrichwith’ version ‘0.3.1’ ** package ‘enrichwith’ 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 ** 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 (enrichwith) begin installing package ‘abind’ * installing *source* package ‘rprojroot’ ... ** this is package ‘rprojroot’ version ‘2.0.4’ ** package ‘rprojroot’ 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 (rprojroot) begin installing package ‘assertthat’ * installing *source* package ‘SQUAREM’ ... ** this is package ‘SQUAREM’ version ‘2021.1’ ** package ‘SQUAREM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SQUAREM) begin installing package ‘deSolve’ * installing *source* package ‘TH.data’ ... ** this is package ‘TH.data’ version ‘1.1-3’ ** package ‘TH.data’ successfully unpacked and MD5 sums checked ** using staged installation ** data *** moving datasets to lazyload DB ** demo ** inst ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (TH.data) begin installing package ‘generics’ * installing *source* package ‘glue’ ... ** this is package ‘glue’ version ‘1.8.0’ ** package ‘glue’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmprSDBzh/R.INSTALL311e1171ee716a/glue/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c glue.c -o glue.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c trim.c -o trim.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o glue.so glue.o init.o trim.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmprSDBzh/R.INSTALL311e1171ee716a/glue/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-glue/00new/glue/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glue) begin installing package ‘magrittr’ * installing *source* package ‘fastmap’ ... ** this is package ‘fastmap’ version ‘1.2.0’ ** package ‘fastmap’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpTOLHo4/R.INSTALL311a0f2bcfed27/fastmap/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Ilib/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -DR_NO_REMAP -fpic -g -O2 -Wall -pedantic -mtune=native -c fastmap.cpp -o fastmap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Ilib/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o fastmap.so fastmap.o init.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpTOLHo4/R.INSTALL311a0f2bcfed27/fastmap/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-fastmap/00new/fastmap/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 (fastmap) begin installing package ‘muhaz’ * installing *source* package ‘withr’ ... ** this is package ‘withr’ version ‘3.0.2’ ** package ‘withr’ 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 (withr) begin installing package ‘quadprog’ * installing *source* package ‘assertthat’ ... ** this is package ‘assertthat’ version ‘0.2.1’ ** package ‘assertthat’ 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 (assertthat) begin installing package ‘statmod’ * installing *source* package ‘parallelly’ ... ** this is package ‘parallelly’ version ‘1.44.0’ ** package ‘parallelly’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpKOvOwx/R.INSTALL3119d14fa651ba/parallelly/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c 000.init.c -o 000.init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c calc-serialized-size.c -o calc-serialized-size.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c test_tcp_port.c -o test_tcp_port.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o parallelly.so 000.init.o calc-serialized-size.o test_tcp_port.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpKOvOwx/R.INSTALL3119d14fa651ba/parallelly/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-parallelly/00new/parallelly/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parallelly) begin installing package ‘RColorBrewer’ * installing *source* package ‘abind’ ... ** this is package ‘abind’ version ‘1.4-8’ ** package ‘abind’ 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 (abind) begin installing package ‘viridisLite’ * installing *source* package ‘shape’ ... ** this is package ‘shape’ version ‘1.4.6.1’ ** package ‘shape’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shape) begin installing package ‘modeltools’ * installing *source* package ‘utf8’ ... ** this is package ‘utf8’ version ‘1.2.5’ ** package ‘utf8’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9tBCf2/R.INSTALL3119c780f46c1/utf8/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c as_utf8.c -o as_utf8.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bytes.c -o bytes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c context.c -o context.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c render.c -o render.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c render_table.c -o render_table.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c string.c -o string.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c text.c -o text.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8_encode.c -o utf8_encode.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8_format.c -o utf8_format.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8_normalize.c -o utf8_normalize.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8_valid.c -o utf8_valid.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8_width.c -o utf8_width.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c util.c -o util.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/array.c -o utf8lite/src/array.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/char.c -o utf8lite/src/char.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/encode.c -o utf8lite/src/encode.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/error.c -o utf8lite/src/error.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/escape.c -o utf8lite/src/escape.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/graph.c -o utf8lite/src/graph.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/graphscan.c -o utf8lite/src/graphscan.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/normalize.c -o utf8lite/src/normalize.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/render.c -o utf8lite/src/render.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/text.c -o utf8lite/src/text.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/textassign.c -o utf8lite/src/textassign.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/textiter.c -o utf8lite/src/textiter.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iutf8lite/src -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8lite/src/textmap.c -o utf8lite/src/textmap.o ar rcs libcutf8lite.a utf8lite/src/array.o utf8lite/src/char.o utf8lite/src/encode.o utf8lite/src/error.o utf8lite/src/escape.o utf8lite/src/graph.o utf8lite/src/graphscan.o utf8lite/src/normalize.o utf8lite/src/render.o utf8lite/src/text.o utf8lite/src/textassign.o utf8lite/src/textiter.o utf8lite/src/textmap.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o utf8.so as_utf8.o bytes.o context.o init.o render.o render_table.o string.o text.o utf8_encode.o utf8_format.o utf8_normalize.o utf8_valid.o utf8_width.o util.o -L. -lcutf8lite -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9tBCf2/R.INSTALL3119c780f46c1/utf8/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-utf8/00new/utf8/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (utf8) begin installing package ‘zoo’ * installing *source* package ‘xfun’ ... ** this is package ‘xfun’ version ‘0.52’ ** package ‘xfun’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpr1hmBD/R.INSTALL311a116b25621e/xfun/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c base64.c -o base64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rand_lcg.c -o rand_lcg.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o xfun.so base64.o init.o rand_lcg.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpr1hmBD/R.INSTALL311a116b25621e/xfun/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-xfun/00new/xfun/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xfun) begin installing package ‘brio’ * installing *source* package ‘generics’ ... ** this is package ‘generics’ version ‘0.1.4’ ** package ‘generics’ 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 (generics) begin installing package ‘evaluate’ * installing *source* package ‘magrittr’ ... ** this is package ‘magrittr’ version ‘2.0.3’ ** package ‘magrittr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpJIjZJK/R.INSTALL3122b678776dc4/magrittr/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pipe.c -o pipe.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o magrittr.so pipe.o utils.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpJIjZJK/R.INSTALL3122b678776dc4/magrittr/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-magrittr/00new/magrittr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (magrittr) begin installing package ‘jsonlite’ * installing *source* package ‘fansi’ ... ** this is package ‘fansi’ version ‘1.0.6’ ** package ‘fansi’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9DwUsp/R.INSTALL3119f1407d20e0/fansi/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c assumptions.c -o assumptions.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c carry.c -o carry.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c has.c -o has.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nchar.c -o nchar.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c normalize.c -o normalize.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c read.c -o read.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rnchar.c -o rnchar.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c state.c -o state.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c strip.c -o strip.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c substr.c -o substr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tabs.c -o tabs.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tohtml.c -o tohtml.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c trimws.c -o trimws.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c unhandled.c -o unhandled.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8.c -o utf8.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wrap.c -o wrap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c write.c -o write.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o fansi.so assumptions.o carry.o has.o init.o nchar.o normalize.o read.o rnchar.o state.o strip.o substr.o tabs.o tohtml.o trimws.o unhandled.o utf8.o utils.o wrap.o write.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9DwUsp/R.INSTALL3119f1407d20e0/fansi/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-fansi/00new/fansi/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fansi) begin installing package ‘praise’ * installing *source* package ‘viridisLite’ ... ** this is package ‘viridisLite’ version ‘0.4.2’ ** package ‘viridisLite’ 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 (viridisLite) begin installing package ‘ps’ * installing *source* package ‘quadprog’ ... ** this is package ‘quadprog’ version ‘1.5-8’ ** package ‘quadprog’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpR5LkMX/R.INSTALL3123102f3484d6/quadprog/src' gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -msse2 -mfpmath=sse -fpic -g -O2 -Wall -pedantic -mtune=native -c aind.f -o aind.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -msse2 -mfpmath=sse -fpic -g -O2 -Wall -pedantic -mtune=native -c solve.QP.compact.f -o solve.QP.compact.o solve.QP.compact.f:254:3: 254 | 72 if (nvl .EQ. 0) then | 1 Warning: Label 72 at (1) defined but not used [-Wunused-label] solve.QP.compact.f:302:2: 302 | 7 t1inf = .FALSE. | 1 Warning: Label 7 at (1) defined but not used [-Wunused-label] solve.QP.compact.f:492:10: 492 | if (it1 .EQ. nact) goto 799 | ^ Warning: ‘it1’ may be used uninitialized [-Wmaybe-uninitialized] solve.QP.compact.f:94:68: 94 | * info, q, fdamat, iamat(fdamat+1,*), iact(*), iter(*), it1, | ^ note: ‘it1’ was declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -msse2 -mfpmath=sse -fpic -g -O2 -Wall -pedantic -mtune=native -c solve.QP.f -o solve.QP.o solve.QP.f:245:3: 245 | 72 if (nvl .EQ. 0) then | 1 Warning: Label 72 at (1) defined but not used [-Wunused-label] solve.QP.f:293:2: 293 | 7 t1inf = .FALSE. | 1 Warning: Label 7 at (1) defined but not used [-Wunused-label] solve.QP.f:483:10: 483 | if (it1 .EQ. nact) goto 799 | ^ Warning: ‘it1’ may be used uninitialized [-Wmaybe-uninitialized] solve.QP.f:85:41: 85 | * info, q, iact(*), iter(*), it1, | ^ note: ‘it1’ was declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -msse2 -mfpmath=sse -fpic -g -O2 -Wall -pedantic -mtune=native -c util.f -o util.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o quadprog.so aind.o init.o solve.QP.compact.o solve.QP.o util.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpR5LkMX/R.INSTALL3123102f3484d6/quadprog/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-quadprog/00new/quadprog/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 (quadprog) begin installing package ‘R6’ * installing *source* package ‘RColorBrewer’ ... ** this is package ‘RColorBrewer’ version ‘1.1-3’ ** package ‘RColorBrewer’ 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 (RColorBrewer) begin installing package ‘R.methodsS3’ * installing *source* package ‘MatrixModels’ ... ** this is package ‘MatrixModels’ version ‘0.5-4’ ** package ‘MatrixModels’ 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 (MatrixModels) begin installing package ‘cmprsk’ * installing *source* package ‘praise’ ... ** this is package ‘praise’ version ‘1.0.0’ ** package ‘praise’ 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 (praise) begin installing package ‘data.table’ * installing *source* package ‘yaml’ ... ** this is package ‘yaml’ version ‘2.3.10’ ** package ‘yaml’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpbOjpEC/R.INSTALL311a1a7144337a/yaml/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c api.c -o api.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dumper.c -o dumper.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c emitter.c -o emitter.o emitter.c: In function ‘yaml_emitter_write_plain_scalar’: emitter.c:28:6: warning: value computed is not used [-Wunused-value] 28 | && ((emitter->line_break == YAML_CR_BREAK ? \ | ^~ emitter.c:56:11: note: in expansion of macro ‘PUT_BREAK’ 56 | (PUT_BREAK(emitter), \ | ^~~~~~~~~ emitter.c:1965:18: note: in expansion of macro ‘WRITE_BREAK’ 1965 | if (!WRITE_BREAK(emitter, string)) return 0; | ^~~~~~~~~~~ emitter.c: In function ‘yaml_emitter_write_single_quoted_scalar’: emitter.c:28:6: warning: value computed is not used [-Wunused-value] 28 | && ((emitter->line_break == YAML_CR_BREAK ? \ | ^~ emitter.c:56:11: note: in expansion of macro ‘PUT_BREAK’ 56 | (PUT_BREAK(emitter), \ | ^~~~~~~~~ emitter.c:2026:18: note: in expansion of macro ‘WRITE_BREAK’ 2026 | if (!WRITE_BREAK(emitter, string)) return 0; | ^~~~~~~~~~~ emitter.c: In function ‘yaml_emitter_write_literal_scalar’: emitter.c:28:6: warning: value computed is not used [-Wunused-value] 28 | && ((emitter->line_break == YAML_CR_BREAK ? \ | ^~ emitter.c:56:11: note: in expansion of macro ‘PUT_BREAK’ 56 | (PUT_BREAK(emitter), \ | ^~~~~~~~~ emitter.c:2292:18: note: in expansion of macro ‘WRITE_BREAK’ 2292 | if (!WRITE_BREAK(emitter, string)) return 0; | ^~~~~~~~~~~ emitter.c: In function ‘yaml_emitter_write_folded_scalar’: emitter.c:28:6: warning: value computed is not used [-Wunused-value] 28 | && ((emitter->line_break == YAML_CR_BREAK ? \ | ^~ emitter.c:56:11: note: in expansion of macro ‘PUT_BREAK’ 56 | (PUT_BREAK(emitter), \ | ^~~~~~~~~ emitter.c:2341:18: note: in expansion of macro ‘WRITE_BREAK’ 2341 | if (!WRITE_BREAK(emitter, string)) return 0; | ^~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c implicit.c -o implicit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c loader.c -o loader.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c parser.c -o parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c r_emit.c -o r_emit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c r_ext.c -o r_ext.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c r_parse.c -o r_parse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c reader.c -o reader.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c scanner.c -o scanner.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c writer.c -o writer.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o yaml.so api.o dumper.o emitter.o implicit.o loader.o parser.o r_emit.o r_ext.o r_parse.o reader.o scanner.o writer.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpbOjpEC/R.INSTALL311a1a7144337a/yaml/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-yaml/00new/yaml/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 (yaml) begin installing package ‘mvtnorm’ * installing *source* package ‘evaluate’ ... ** this is package ‘evaluate’ version ‘1.0.3’ ** package ‘evaluate’ 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 (evaluate) begin installing package ‘plotrix’ * installing *source* package ‘brio’ ... ** this is package ‘brio’ version ‘1.1.5’ ** package ‘brio’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpaXxjhu/R.INSTALL31273d10621653/brio/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c brio.c -o brio.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c file_line_endings.c -o file_line_endings.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c read_file.c -o read_file.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c read_file_raw.c -o read_file_raw.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c read_lines.c -o read_lines.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c write_file.c -o write_file.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c write_file_raw.c -o write_file_raw.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c write_lines.c -o write_lines.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o brio.so brio.o file_line_endings.o init.o read_file.o read_file_raw.o read_lines.o write_file.o write_file_raw.o write_lines.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpaXxjhu/R.INSTALL31273d10621653/brio/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-brio/00new/brio/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 (brio) begin installing package ‘Rcpp’ * installing *source* package ‘bdsmatrix’ ... ** this is package ‘bdsmatrix’ version ‘1.3-7’ ** package ‘bdsmatrix’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMxYcnb/R.INSTALL3119dd3cddd557/bdsmatrix/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_bdsmatrix.c -o R_init_bdsmatrix.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bdsmatrix_index1.c -o bdsmatrix_index1.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bdsmatrix_index2.c -o bdsmatrix_index2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bdsmatrix_index3.c -o bdsmatrix_index3.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bdsmatrix_prod.c -o bdsmatrix_prod.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bdsmatrix_prod2.c -o bdsmatrix_prod2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bdsmatrix_prod3.c -o bdsmatrix_prod3.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bdsmatrix_prod4.c -o bdsmatrix_prod4.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chinv4.c -o chinv4.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chinv5.c -o chinv5.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cholesky4.c -o cholesky4.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cholesky5.c -o cholesky5.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chsolve4.c -o chsolve4.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chsolve5.c -o chsolve5.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dmatrix.c -o dmatrix.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gcback.c -o gcback.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gchol.c -o gchol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gchol_bds.c -o gchol_bds.o gchol_bds.c: In function ‘gchol_bdsinv’: gchol_bds.c:103:13: warning: ‘mat’ may be used uninitialized [-Wmaybe-uninitialized] 103 | i = cholesky4(mat, n, nblock, bsize, dmat, *toler); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gchol_bds.c:85:14: note: ‘mat’ was declared here 85 | double **mat; | ^~~ gchol_bds.c: In function ‘gchol_bdssolve’: gchol_bds.c:150:13: warning: ‘mat’ may be used uninitialized [-Wmaybe-uninitialized] 150 | i = cholesky4(mat, n, nblock, bsize, blocks, *toler); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gchol_bds.c:132:14: note: ‘mat’ was declared here 132 | double **mat; | ^~~ gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o bdsmatrix.so R_init_bdsmatrix.o bdsmatrix_index1.o bdsmatrix_index2.o bdsmatrix_index3.o bdsmatrix_prod.o bdsmatrix_prod2.o bdsmatrix_prod3.o bdsmatrix_prod4.o chinv4.o chinv5.o cholesky4.o cholesky5.o chsolve4.o chsolve5.o dmatrix.o gcback.o gchol.o gchol_bds.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMxYcnb/R.INSTALL3119dd3cddd557/bdsmatrix/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-bdsmatrix/00new/bdsmatrix/libs ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘diag’ from package ‘base’ in package ‘bdsmatrix’ Creating a generic function for ‘diag<-’ from package ‘base’ in package ‘bdsmatrix’ Creating a new generic function for ‘backsolve’ in package ‘bdsmatrix’ ** 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 (bdsmatrix) begin installing package ‘gbm’ * installing *source* package ‘R6’ ... ** this is package ‘R6’ version ‘2.6.1’ ** package ‘R6’ 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 (R6) begin installing package ‘grpreg’ * installing *source* package ‘modeltools’ ... ** this is package ‘modeltools’ version ‘0.2-24’ ** package ‘modeltools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘na.pass’ from package ‘stats’ in package ‘modeltools’ Creating a generic function from function ‘MEapply’ in package ‘modeltools’ ** 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 (modeltools) begin installing package ‘nnls’ * installing *source* package ‘isoband’ ... ** this is package ‘isoband’ version ‘0.2.7’ ** package ‘isoband’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpU63SUj/R.INSTALL311e281ee1a3a2/isoband/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clip-lines.cpp -o clip-lines.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c isoband.cpp -o isoband.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c polygon.cpp -o polygon.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c separate-polygons.cpp -o separate-polygons.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-clip-lines.cpp -o test-clip-lines.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-runner.cpp -o test-runner.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-separate-polygons.cpp -o test-separate-polygons.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o isoband.so clip-lines.o init.o isoband.o polygon.o separate-polygons.o test-clip-lines.o test-runner.o test-separate-polygons.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpU63SUj/R.INSTALL311e281ee1a3a2/isoband/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-isoband/00new/isoband/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (isoband) begin installing package ‘numDeriv’ * installing *source* package ‘R.methodsS3’ ... ** this is package ‘R.methodsS3’ version ‘1.8.2’ ** package ‘R.methodsS3’ 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 (R.methodsS3) begin installing package ‘randomForest’ * installing *source* package ‘bit’ ... ** this is package ‘bit’ version ‘4.6.0’ ** package ‘bit’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpcTjk82/R.INSTALL3119ab36606466/bit/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c attrutil.c -o attrutil.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bit.c -o bit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chunkutil.c -o chunkutil.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c clone.c -o clone.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c integerutil.c -o integerutil.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c merge.c -o merge.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rle.c -o rle.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sort.c -o sort.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o bit.so attrutil.o bit.o chunkutil.o clone.o init.o integerutil.o merge.o rle.o sort.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpcTjk82/R.INSTALL3119ab36606466/bit/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-bit/00new/bit/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (bit) begin installing package ‘scam’ * installing *source* package ‘muhaz’ ... ** this is package ‘muhaz’ version ‘1.2.6.4’ ** package ‘muhaz’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpktX3jG/R.INSTALL3122e7ab57dda/muhaz/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c muhaz.f -o muhaz.o muhaz.f:829:54: 829 | DOUBLE PRECISION r, s, q, valueb, valuev, hazden, ONE | 1 Warning: Unused variable ‘hazden’ declared at (1) [-Wunused-variable] muhaz.f:1020:33: 1020 | DOUBLE PRECISION x(20000,2) | 1 Warning: Array ‘x’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] muhaz.f:1124:33: 1124 | DOUBLE PRECISION dx(200000), const, bw, bw0, r, r0, gets, ds | 1 Warning: Array ‘dx’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] muhaz.f:516:39: 516 | DOUBLE PRECISION z0, tcopy(20000), td(20000) | 1 Warning: Array ‘tcopy’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] muhaz.f:516:50: 516 | DOUBLE PRECISION z0, tcopy(20000), td(20000) | 1 Warning: Array ‘td’ at (1) is larger than limit set by ‘-fmax-stack-var-size=’, moved from stack to static storage. This makes the procedure unsafe when called recursively, or concurrently from multiple threads. Consider increasing the ‘-fmax-stack-var-size=’ limit (or use ‘-frecursive’, which implies unlimited ‘-fmax-stack-var-size’) - or change the code to use an ALLOCATABLE array. If the variable is never accessed concurrently, this warning can be ignored, and the variable could also be declared with the SAVE attribute. [-Wsurprising] muhaz.f:619:32: 619 | INTEGER n, delta(n), gridb, gridz, ks, kflag, kmin, kmax, | 1 Warning: Unused variable ‘gridb’ declared at (1) [-Wunused-variable] muhaz.f:620:26: 620 | * bwchoi, m, k | 1 Warning: Unused variable ‘k’ declared at (1) [-Wunused-variable] muhaz.f:28:72: 28 | RETURN | ^ Warning: ‘__result_atpos’ may be used uninitialized [-Wmaybe-uninitialized] muhaz.f:1:28: 1 | INTEGER FUNCTION atpos(v, n, x) | ^ note: ‘__result_atpos’ was declared here muhaz.f:1180:72: 1180 | r0 = ONELES * r | ^ Warning: ‘r’ may be used uninitialized [-Wmaybe-uninitialized] muhaz.f:1124:52: 1124 | DOUBLE PRECISION dx(200000), const, bw, bw0, r, r0, gets, ds | ^ note: ‘r’ was declared here muhaz.f:497:72: 497 | kernel = v1 * v2 | ^ Warning: ‘v1’ may be used uninitialized [-Wmaybe-uninitialized] muhaz.f:441:25: 441 | DOUBLE PRECISION v1, v2, HALF, ONE, TWO | ^ note: ‘v1’ was declared here muhaz.f:497:72: 497 | kernel = v1 * v2 | ^ Warning: ‘v2’ may be used uninitialized [-Wmaybe-uninitialized] muhaz.f:441:29: 441 | DOUBLE PRECISION v1, v2, HALF, ONE, TWO | ^ note: ‘v2’ was declared here gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o muhaz.so init.o muhaz.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpktX3jG/R.INSTALL3122e7ab57dda/muhaz/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-muhaz/00new/muhaz/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 (muhaz) begin installing package ‘bit64’ * installing *source* package ‘statmod’ ... ** this is package ‘statmod’ version ‘1.5.0’ ** package ‘statmod’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp1pgNgN/R.INSTALL3125e140045f31/statmod/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c expectedDeviance.c -o expectedDeviance.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c gaussq2.f -o gaussq2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o statmod.so expectedDeviance.o gaussq2.o init.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp1pgNgN/R.INSTALL3125e140045f31/statmod/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-statmod/00new/statmod/libs ** 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 ** 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 (statmod) begin installing package ‘caTools’ * installing *source* package ‘numDeriv’ ... ** this is package ‘numDeriv’ version ‘2016.8-1.1’ ** package ‘numDeriv’ 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 (numDeriv) begin installing package ‘tinytex’ * installing *source* package ‘nnls’ ... ** this is package ‘nnls’ version ‘1.6’ ** package ‘nnls’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpYlAX3v/R.INSTALL312cc13b3e3b7a/nnls/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c lawson_hanson_nnls.f -o lawson_hanson_nnls.o lawson_hanson_nnls.f:503:4: 503 | 440 continue | 1 Warning: Label 440 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c nnnpls.f -o nnnpls.o nnnpls.f:368:4: 368 | 440 continue | 1 Warning: Label 440 at (1) defined but not used [-Wunused-label] gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o nnls.so init.o lawson_hanson_nnls.o nnnpls.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpYlAX3v/R.INSTALL312cc13b3e3b7a/nnls/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-nnls/00new/nnls/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 (nnls) begin installing package ‘tzdb’ * installing *source* package ‘jsonlite’ ... ** this is package ‘jsonlite’ version ‘2.0.0’ ** package ‘jsonlite’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpz7peus/R.INSTALL312790393f116b/jsonlite/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c base64.c -o base64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c collapse_array.c -o collapse_array.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c collapse_object.c -o collapse_object.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c collapse_pretty.c -o collapse_pretty.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c escape_chars.c -o escape_chars.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c integer64_to_na.c -o integer64_to_na.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c is_datelist.c -o is_datelist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c is_recordlist.c -o is_recordlist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c is_scalarlist.c -o is_scalarlist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c modp_numtoa.c -o modp_numtoa.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c null_to_na.c -o null_to_na.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c num_to_char.c -o num_to_char.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c parse.c -o parse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prettify.c -o prettify.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c push_parser.c -o push_parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c r-base64.c -o r-base64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c register.c -o register.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c row_collapse.c -o row_collapse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c transpose_list.c -o transpose_list.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c validate.c -o validate.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl.c -o yajl/yajl.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl_alloc.c -o yajl/yajl_alloc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl_buf.c -o yajl/yajl_buf.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl_encode.c -o yajl/yajl_encode.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl_gen.c -o yajl/yajl_gen.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl_lex.c -o yajl/yajl_lex.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl_parser.c -o yajl/yajl_parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Iyajl/api -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c yajl/yajl_tree.c -o yajl/yajl_tree.o ar rcs yajl/libstatyajl.a yajl/yajl.o yajl/yajl_alloc.o yajl/yajl_buf.o yajl/yajl_encode.o yajl/yajl_gen.o yajl/yajl_lex.o yajl/yajl_parser.o yajl/yajl_tree.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o jsonlite.so base64.o collapse_array.o collapse_object.o collapse_pretty.o escape_chars.o integer64_to_na.o is_datelist.o is_recordlist.o is_scalarlist.o modp_numtoa.o null_to_na.o num_to_char.o parse.o prettify.o push_parser.o r-base64.o register.o row_collapse.o transpose_list.o validate.o -Lyajl -lstatyajl -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpz7peus/R.INSTALL312790393f116b/jsonlite/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-jsonlite/00new/jsonlite/libs ** R ** inst ** byte-compile and prepare package for lazy loading in method for ‘asJSON’ with signature ‘"AsIs"’: no definition for class “AsIs” in method for ‘asJSON’ with signature ‘"ITime"’: no definition for class “ITime” in method for ‘asJSON’ with signature ‘"hms"’: no definition for class “hms” in method for ‘asJSON’ with signature ‘"json"’: no definition for class “json” in method for ‘asJSON’ with signature ‘"integer64"’: no definition for class “integer64” in method for ‘asJSON’ with signature ‘"pairlist"’: no definition for class “pairlist” in method for ‘asJSON’ with signature ‘"blob"’: no definition for class “blob” in method for ‘asJSON’ with signature ‘"scalar"’: no definition for class “scalar” in method for ‘asJSON’ with signature ‘"sf"’: no definition for class “sf” in method for ‘asJSON’ with signature ‘"sfc"’: no definition for class “sfc” in method for ‘asJSON’ with signature ‘"vctrs_vctr"’: no definition for class “vctrs_vctr” ** 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 (jsonlite) begin installing package ‘highr’ * installing *source* package ‘zoo’ ... ** this is package ‘zoo’ version ‘1.8-14’ ** package ‘zoo’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpyPhVtt/R.INSTALL31267118a48549/zoo/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c coredata.c -o coredata.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lag.c -o lag.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o zoo.so coredata.o init.o lag.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpyPhVtt/R.INSTALL31267118a48549/zoo/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-zoo/00new/zoo/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 (zoo) begin installing package ‘diffobj’ * installing *source* package ‘SparseM’ ... ** this is package ‘SparseM’ version ‘1.84-2’ ** package ‘SparseM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9UF4Ct/R.INSTALL311f563b3877e8/SparseM/src' gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c bckslv.f -o bckslv.o bckslv.f:2:65: 2 | & xlnz,invp,perm,xsuper,newrhs,sol,b,timed) | 1 Warning: Unused dummy argument ‘timed’ at (1) [-Wunused-dummy-argument] bckslv.f:71:64: 71 | & xlnz,invp,perm,xsuper,newrhs,sol,b,timed) | 1 Warning: Unused dummy argument ‘timed’ at (1) [-Wunused-dummy-argument] bckslv.f:133:64: 133 | & xlnz,invp,perm,xsuper,newrhs,sol,b,timed) | 1 Warning: Unused dummy argument ‘timed’ at (1) [-Wunused-dummy-argument] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c chol.f -o chol.o chol.f:4:52: 4 | & tmpvec,cachsz,level,ierr,timed, tiny, Large) | 1 Warning: Unused dummy argument ‘timed’ at (1) [-Wunused-dummy-argument] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c chol2csr.f -o chol2csr.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cholesky.f -o cholesky.o cholesky.f:1981:20: 1981 | CACHE = ( FLOAT(CACHSZ) * 1024. / 8. ) * 0.9 | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] cholesky.f:5674:34: 5674 | & NOFSUB, XLINDX, LINDX , XLNZ , MRGLNK, | 1 Warning: Unused dummy argument ‘nofsub’ at (1) [-Wunused-dummy-argument] cholesky.f:2280:49: 2280 | SUBROUTINE FSUP2 ( NEQNS , NSUPER, ETPAR , SNODE , XSUPER ) | 1 Warning: Unused dummy argument ‘etpar’ at (1) [-Wunused-dummy-argument] cholesky.f:1207:50: 1207 | SUBROUTINE CHORDR ( NEQNS , XADJ , ADJNCY, PERM , INVP , | 1 Warning: Unused dummy argument ‘adjncy’ at (1) [-Wunused-dummy-argument] cholesky.f:1207:40: 1207 | SUBROUTINE CHORDR ( NEQNS , XADJ , ADJNCY, PERM , INVP , | 1 Warning: Unused dummy argument ‘xadj’ at (1) [-Wunused-dummy-argument] cholesky.f:3100:46: 3100 | SUBROUTINE MMDINT ( NEQNS, XADJ, ADJNCY, DHEAD, DFORW, | 1 Warning: Unused dummy argument ‘adjncy’ at (1) [-Wunused-dummy-argument] cholesky.f:4876:62: 4876 | SUBROUTINE PCHOL ( M, N, XPNT, X, MXDIAG, NTINY, IFLAG, SMXPY, | 1 Warning: Unused dummy argument ‘iflag’ at (1) [-Wunused-dummy-argument] cholesky.f:2583:33: 2583 | SUBROUTINE INPNV ( NEQNS, XADJF, ADJF, ANZF, PERM, INVP, | 1 Warning: Unused dummy argument ‘neqns’ at (1) [-Wunused-dummy-argument] cholesky.f:2785:57: 2785 | SUBROUTINE LSTATS ( NSUPER, XSUPER, XLINDX, LINDX , XLNZ , | 1 Warning: Unused dummy argument ‘lindx’ at (1) [-Wunused-dummy-argument] cholesky.f:2786:42: 2786 | & TMPSIZ, OUTUNT ) | 1 Warning: Unused dummy argument ‘outunt’ at (1) [-Wunused-dummy-argument] cholesky.f:2786:34: 2786 | & TMPSIZ, OUTUNT ) | 1 Warning: Unused dummy argument ‘tmpsiz’ at (1) [-Wunused-dummy-argument] cholesky.f:72:72: 72 | YOFF1 = IY1 - ICOL | ^ Warning: ‘iy1’ may be used uninitialized [-Wmaybe-uninitialized] cholesky.f:55:55: 55 | INTEGER ICOL , IL1 , IR , IY1 , LBOT1 , | ^ note: ‘iy1’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c csr.f -o csr.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c extract.f -o extract.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c sparskit.f -o sparskit.o sparskit.f:2031:72: 2031 | if (values) a(ipos) = t | ^ Warning: ‘t’ may be used uninitialized [-Wmaybe-uninitialized] sparskit.f:1996:25: 1996 | double precision t,tnext | ^ note: ‘t’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c subscr.f -o subscr.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o SparseM.so bckslv.o chol.o chol2csr.o cholesky.o csr.o extract.o init.o sparskit.o subscr.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp9UF4Ct/R.INSTALL311f563b3877e8/SparseM/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-SparseM/00new/SparseM/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘diag’ from package ‘base’ in package ‘SparseM’ Creating a generic function for ‘diag<-’ from package ‘base’ in package ‘SparseM’ Creating a generic function for ‘norm’ from package ‘base’ in package ‘SparseM’ Creating a generic function for ‘backsolve’ from package ‘base’ in package ‘SparseM’ Creating a generic function for ‘forwardsolve’ from package ‘base’ in package ‘SparseM’ Creating a generic function for ‘model.response’ from package ‘stats’ in package ‘SparseM’ ** 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 (SparseM) begin installing package ‘diagram’ * installing *source* package ‘digest’ ... ** this is package ‘digest’ version ‘0.6.37’ ** package ‘digest’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpcXEEYq/R.INSTALL311fdd5ffd4a12/digest/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c SpookyV2.cpp -o SpookyV2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c aes.c -o aes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c blake3.c -o blake3.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c blake3_dispatch.c -o blake3_dispatch.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c blake3_portable.c -o blake3_portable.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c crc32.c -o crc32.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c crc32c.cpp -o crc32c.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c crc32c_portable.cpp -o crc32c_portable.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c digest.c -o digest.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c digest2int.c -o digest2int.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c md5.c -o md5.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pmurhash.c -o pmurhash.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c raes.c -o raes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sha1.c -o sha1.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sha2.c -o sha2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sha256.c -o sha256.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c spooky_serialize.cpp -o spooky_serialize.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c xxhash.c -o xxhash.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o digest.so SpookyV2.o aes.o blake3.o blake3_dispatch.o blake3_portable.o crc32.o crc32c.o crc32c_portable.o digest.o digest2int.o init.o md5.o pmurhash.o raes.o sha1.o sha2.o sha256.o spooky_serialize.o xxhash.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpcXEEYq/R.INSTALL311fdd5ffd4a12/digest/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-digest/00new/digest/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 (digest) begin installing package ‘quantreg’ * installing *source* package ‘colorspace’ ... ** this is package ‘colorspace’ version ‘2.1-1’ ** package ‘colorspace’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpqn8gw9/R.INSTALL312064114a490f/colorspace/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c colorspace.c -o colorspace.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o colorspace.so colorspace.o init.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpqn8gw9/R.INSTALL312064114a490f/colorspace/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-colorspace/00new/colorspace/libs ** R ** data *** moving datasets to lazyload DB ** 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 (colorspace) begin installing package ‘checkmate’ * installing *source* package ‘tinytex’ ... ** this is package ‘tinytex’ version ‘0.57’ ** package ‘tinytex’ 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 (tinytex) begin installing package ‘brglm2’ * installing *source* package ‘highr’ ... ** this is package ‘highr’ version ‘0.11’ ** package ‘highr’ 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 (highr) begin installing package ‘sandwich’ * installing *source* package ‘cmprsk’ ... ** this is package ‘cmprsk’ version ‘2.2-12’ ** package ‘cmprsk’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNNLe1t/R.INSTALL312ada634875c4/cmprsk/src' gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cincsub.f -o cincsub.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c crr.f -o crr.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c crstm.f -o crstm.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c tpoi.f -o tpoi.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o cmprsk.so cincsub.o crr.o crstm.o tpoi.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNNLe1t/R.INSTALL312ada634875c4/cmprsk/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-cmprsk/00new/cmprsk/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 (cmprsk) begin installing package ‘R.oo’ * installing *source* package ‘caTools’ ... ** this is package ‘caTools’ version ‘1.18.3’ ** package ‘caTools’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpXfwK1a/R.INSTALL3132de459d60af/caTools/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Gif2R.cpp -o Gif2R.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c GifTools.cpp -o GifTools.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c caTools_init.c -o caTools_init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c runfunc.c -o runfunc.o runfunc.c: In function ‘sum_exact’: runfunc.c:147:17: warning: ‘partial’ may be used uninitialized [-Wmaybe-uninitialized] 147 | *Out = partial[0]; | ~~~~~~~^~~ runfunc.c:141:18: note: ‘partial’ declared here 141 | double *in, x, partial[mpartial]; | ^~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o caTools.so Gif2R.o GifTools.o caTools_init.o runfunc.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpXfwK1a/R.INSTALL3132de459d60af/caTools/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-caTools/00new/caTools/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 (caTools) begin installing package ‘foreach’ * installing *source* package ‘ps’ ... ** this is package ‘ps’ version ‘1.9.1’ ** package ‘ps’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpfoPBPS/R.INSTALL3128ac67001e34/ps/src' gcc-14 -std=gnu23 -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -Wl,-O1 -Wall px.c -o px gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c api-common.c -o api-common.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c common.c -o common.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c extra.c -o extra.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dummy.c -o dummy.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c error-codes.c -o error-codes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cleancall.c -o cleancall.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c posix.c -o posix.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c api-posix.c -o api-posix.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c linux.c -o linux.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c api-linux.c -o api-linux.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o ps.so init.o api-common.o common.o extra.o dummy.o error-codes.o cleancall.o posix.o api-posix.o linux.o api-linux.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpfoPBPS/R.INSTALL3128ac67001e34/ps/src' installing via 'install.libs.R' to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-ps/00new/ps ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ps) begin installing package ‘gplots’ * installing *source* package ‘randomForest’ ... ** this is package ‘randomForest’ version ‘4.7-1.2’ ** package ‘randomForest’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpJ5UiGr/R.INSTALL312f5e52172b2a/randomForest/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c classTree.c -o classTree.o classTree.c: In function ‘predictClassTree’: classTree.c:453:47: warning: ‘cbestsplit’ may be used uninitialized [-Wmaybe-uninitialized] 453 | k = cbestsplit[(int) x[m + i * mdim] - 1 + k * maxcat] ? | ^ classTree.c:422:22: note: ‘cbestsplit’ was declared here 422 | int m, i, j, k, *cbestsplit; | ^~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c regTree.c -o regTree.o regTree.c: In function ‘predictRegTree’: regTree.c:393:23: warning: ‘cbestsplit’ may be used uninitialized [-Wmaybe-uninitialized] 393 | k = cbestsplit[(int) x[m + i * mdim] - 1 + k * maxcat] ? | ^ regTree.c:363:20: note: ‘cbestsplit’ was declared here 363 | int i, j, k, m, *cbestsplit; | ^~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c regrf.c -o regrf.o regrf.c: In function ‘regRF’: regrf.c:64:15: warning: variable ‘nind’ set but not used [-Wunused-but-set-variable] 64 | int *in, *nind, *nodex, *nodexts; | ^~~~ regrf.c:60:55: warning: unused variable ‘ktmp’ [-Wunused-variable] 60 | int k, m, mr, n, nOOB, j, jout, idx, ntest, last, ktmp, nPerm, | ^~~~ regrf.c:60:49: warning: unused variable ‘last’ [-Wunused-variable] 60 | int k, m, mr, n, nOOB, j, jout, idx, ntest, last, ktmp, nPerm, | ^~~~ regrf.c:55:66: warning: unused variable ‘xrand’ [-Wunused-variable] 55 | double errts = 0.0, averrb, meanY, meanYts, varY, varYts, r, xrand, | ^~~~~ regrf.c:55:25: warning: variable ‘averrb’ set but not used [-Wunused-but-set-variable] 55 | double errts = 0.0, averrb, meanY, meanYts, varY, varYts, r, xrand, | ^~~~~~ regrf.c:205:25: warning: ‘ytree’ may be used uninitialized [-Wmaybe-uninitialized] 205 | predictRegTree(xts, ntest, mdim, lDaughter + idx, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | rDaughter + idx, nodestatus + idx, ytree, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | upper + idx, avnode + idx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 208 | mbest + idx, treeSize[j], cat, *maxcat, nodexts); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ regrf.c:58:36: note: ‘ytree’ was declared here 58 | double *yb, *xtmp, *xb, *ytr, *ytree, *tgini; | ^~~~~ regrf.c:205:25: warning: ‘nodexts’ may be used uninitialized [-Wmaybe-uninitialized] 205 | predictRegTree(xts, ntest, mdim, lDaughter + idx, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | rDaughter + idx, nodestatus + idx, ytree, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | upper + idx, avnode + idx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 208 | mbest + idx, treeSize[j], cat, *maxcat, nodexts); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ regrf.c:64:30: note: ‘nodexts’ was declared here 64 | int *in, *nind, *nodex, *nodexts; | ^~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rf.c -o rf.o rf.c: In function ‘classRF’: rf.c:176:5: warning: this ‘for’ clause does not guard... [-Wmisleading-indentation] 176 | for (n = 0; n < nsample0; ++n) | ^~~ rf.c:180:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the ‘for’ 180 | strata_size = (int *) S_alloc(nstrata, sizeof(int)); | ^~~~~~~~~~~ rf.c:103:4: warning: variable ‘tp’ set but not used [-Wunused-but-set-variable] 103 | *tp, *wr, *bestsplitnext, *bestsplit; | ^~ rf.c:98:41: warning: unused variable ‘ktmp’ [-Wunused-variable] 98 | int **strata_idx, *strata_size, last, ktmp, nEmpty, ntry; | ^~~~ rf.c:98:35: warning: unused variable ‘last’ [-Wunused-variable] 98 | int **strata_idx, *strata_size, last, ktmp, nEmpty, ntry; | ^~~~ rf.c:97:24: warning: variable ‘nind’ set but not used [-Wunused-but-set-variable] 97 | *at, *a, *b, *mind, *nind, *jts, *oobpair, *sampledIndices; | ^~~~ rf.c:88:9: warning: variable ‘nimp’ set but not used [-Wunused-but-set-variable] 88 | mimp, nimp, near, nuse, noutall, nrightall, nrightimpall, | ^~~~ rf.c:88:3: warning: variable ‘mimp’ set but not used [-Wunused-but-set-variable] 88 | mimp, nimp, near, nuse, noutall, nrightall, nrightimpall, | ^~~~ rf.c:395:7: warning: ‘oobpair’ may be used uninitialized [-Wmaybe-uninitialized] 395 | computeProximity(prox, oobprox, nodex, jin, oobpair, near); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rf.c:97:37: note: ‘oobpair’ was declared here 97 | *at, *a, *b, *mind, *nind, *jts, *oobpair, *sampledIndices; | ^~~~~~~ rf.c:343:7: warning: ‘nclts’ may be used uninitialized [-Wmaybe-uninitialized] 343 | TestSetError(countts, jts, clts, outclts, ntest, nclass, jb+1, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 344 | errts + jb*(nclass+1), *labelts, nclts, cut); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rf.c:92:23: note: ‘nclts’ was declared here 92 | *nrightimp, *nout, *nclts, Ntree; | ^~~~~ gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rfsub.f -o rfsub.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rfutils.c -o rfutils.o rfutils.c: In function ‘sampleWithoutReplacementWithWeights’: rfutils.c:346:9: warning: variable ‘sampledIndexCopy’ set but not used [-Wunused-but-set-variable] 346 | int sampledIndexCopy; | ^~~~~~~~~~~~~~~~ rfutils.c:344:9: warning: variable ‘first’ set but not used [-Wunused-but-set-variable] 344 | int first; | ^~~~~ gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o randomForest.so classTree.o init.o regTree.o regrf.o rf.o rfsub.o rfutils.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpJ5UiGr/R.INSTALL312f5e52172b2a/randomForest/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-randomForest/00new/randomForest/libs ** 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 ** 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 (randomForest) begin installing package ‘knitr’ * installing *source* package ‘diagram’ ... ** this is package ‘diagram’ version ‘1.6.5’ ** package ‘diagram’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diagram) begin installing package ‘future’ * installing *source* package ‘mvtnorm’ ... ** this is package ‘mvtnorm’ version ‘1.3-3’ ** package ‘mvtnorm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmppTwnAh/R.INSTALL312b1857798d4/mvtnorm/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c C_FORTRAN_interface.c -o C_FORTRAN_interface.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lpmvnorm.c -o lpmvnorm.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ltMatrices.c -o ltMatrices.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c miwa.c -o miwa.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c mvt.f -o mvt.o mvt.f:868:11: 868 | hs = sign( one, dh - r*dk ) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] mvt.f:869:11: 869 | ks = sign( one, dk - r*dh ) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] mvt.f:1164:16: 1164 | K = MOD( C(NP, MIN(NDIM-1,KLIM-1))*DBLE(K), DBLE(P(NP)) ) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] mvt.f:1224:17: 1224 | JP = 1 + J*R(J) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mvtnorm-init.c -o mvtnorm-init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c tvpack.f -o tvpack.o tvpack.f:395:14: 395 | HS = SIGN( ONE, DH - R*DK ) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] tvpack.f:396:14: 396 | KS = SIGN( ONE, DK - R*DH ) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] tvpack.f:220:72: 220 | END | ^ Warning: ‘fin’ may be used uninitialized [-Wmaybe-uninitialized] tvpack.f:196:58: 196 | DOUBLE PRECISION EI(NL), AI(NL), BI(NL), FI(NL), FIN, ERR, KRNRDT | ^ note: ‘fin’ was declared here gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o mvtnorm.so C_FORTRAN_interface.o lpmvnorm.o ltMatrices.o miwa.o mvt.o mvtnorm-init.o tvpack.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmppTwnAh/R.INSTALL312b1857798d4/mvtnorm/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-mvtnorm/00new/mvtnorm/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mvtnorm) begin installing package ‘progressr’ * installing *source* package ‘foreach’ ... ** this is package ‘foreach’ version ‘1.5.2’ ** package ‘foreach’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (foreach) begin installing package ‘processx’ * installing *source* package ‘cli’ ... ** this is package ‘cli’ version ‘3.6.5’ ** package ‘cli’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpFbGPzo/R.INSTALL311dff7c8fefeb/cli/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ansi.c -o ansi.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cleancall.c -o cleancall.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c diff.c -o diff.o diff.c: In function ‘clic_diff_chr’: diff.c:104:3: warning: ‘sn’ may be used uninitialized [-Wmaybe-uninitialized] 104 | SET_VECTOR_ELT(result, 0, allocVector(INTSXP, sn)); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ diff.c:85:7: note: ‘sn’ was declared here 85 | int sn; | ^~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c errors.c -o errors.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c glue.c -o glue.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c inst.c -o inst.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c keypress-unix.c -o keypress-unix.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c keypress-win.c -o keypress-win.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c keypress.c -o keypress.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c md5.c -o md5.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c progress-altrep.c -o progress-altrep.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c progress.c -o progress.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sha1.c -o sha1.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sha256.c -o sha256.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c thread.c -o thread.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tty.c -o tty.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utf8.c -o utf8.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vt.c -o vt.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vtparse.c -o vtparse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vtparse_table.c -o vtparse_table.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c win-utf8.c -o win-utf8.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c winfiles.c -o winfiles.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c xxhash.c -o xxhash.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c xxhash2.c -o xxhash2.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o cli.so ansi.o cleancall.o diff.o errors.o glue.o init.o inst.o keypress-unix.o keypress-win.o keypress.o md5.o progress-altrep.o progress.o sha1.o sha256.o thread.o tty.o utf8.o utils.o vt.o vtparse.o vtparse_table.o win-utf8.o winfiles.o xxhash.o xxhash2.o -lpthread -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpFbGPzo/R.INSTALL311dff7c8fefeb/cli/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-cli/00new/cli/libs ** R ** exec ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cli) begin installing package ‘gam’ * installing *source* package ‘grpreg’ ... ** this is package ‘grpreg’ version ‘3.5.0’ ** package ‘grpreg’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp9rmqLR/R.INSTALL312ca23b39c3eb/grpreg/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gdfit_cox.c -o gdfit_cox.o gdfit_cox.c: In function ‘gd_cox’: gdfit_cox.c:29:6: warning: ‘len’ may be used uninitialized [-Wmaybe-uninitialized] 29 | if (len != 0 || a[K1[g]] != 0) { | ^ gdfit_cox.c:25:10: note: ‘len’ was declared here 25 | double len; | ^~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gdfit_gaussian.c -o gdfit_gaussian.o gdfit_gaussian.c: In function ‘gd_gaussian’: gdfit_gaussian.c:36:6: warning: ‘len’ may be used uninitialized [-Wmaybe-uninitialized] 36 | if (len != 0 || a[K1[g]] != 0) { | ^ gdfit_gaussian.c:32:10: note: ‘len’ was declared here 32 | double len; | ^~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gdfit_glm.c -o gdfit_glm.o gdfit_glm.c: In function ‘gd_glm’: gdfit_glm.c:32:6: warning: ‘len’ may be used uninitialized [-Wmaybe-uninitialized] 32 | if (len != 0 || a[K1[g]] != 0) { | ^ gdfit_glm.c:28:10: note: ‘len’ was declared here 28 | double len; | ^~~ gdfit_glm.c: In function ‘gdfit_glm’: gdfit_glm.c:213:21: warning: ‘v’ may be used uninitialized [-Wmaybe-uninitialized] 213 | if (e[g]) gd_glm(b, X, r, v, eta, g, K1, n, l, p, penalty, l1, l2, gamma, df, a, &maxChange); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gdfit_glm.c:106:29: note: ‘v’ was declared here 106 | double shift, l1, l2, mu, v, maxChange; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c grpreg_init.c -o grpreg_init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lcdfit_cox.c -o lcdfit_cox.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lcdfit_gaussian.c -o lcdfit_gaussian.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lcdfit_glm.c -o lcdfit_glm.o lcdfit_glm.c: In function ‘lcdfit_glm’: lcdfit_glm.c:187:34: warning: ‘a0’ may be used uninitialized [-Wmaybe-uninitialized] 187 | for (int i=0; imatrix = &E_inv; | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ polymars.c: In function ‘find_best_candidate’: polymars.c:1701:12: note: ‘E_inv’ declared here 1701 | double E,E_inv; | ^~~~~ polymars.c:126:24: note: ‘Rao_E_inverse’ declared here 126 | static struct matrix1 *Rao_E_inverse;/* algebra */ | ^~~~~~~~~~~~~ In function ‘update_model’, inlined from ‘find_best_candidate’ at polymars.c:1650:7: polymars.c:1938:17: warning: storing the address of local variable ‘E’ in ‘*Rao_E.matrix’ [-Wdangling-pointer=] 1938 | Rao_E->matrix = &E; | ~~~~~~~~~~~~~~^~~~ polymars.c: In function ‘find_best_candidate’: polymars.c:1701:10: note: ‘E’ declared here 1701 | double E,E_inv; | ^ polymars.c:125:24: note: ‘Rao_E’ declared here 125 | static struct matrix1 *Rao_E;/*than the previous one. From an example in Rao's linear*/ | ^~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -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 gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o polspline.so allpack.o hareall.o heftall.o lsdall.o lspecall.o nlsd.o polyall.o polymars.o registerDynamicSymbol.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpngEZD9/R.INSTALL311fab52411d9/polspline/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-polspline/00new/polspline/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 (polspline) * installing *source* package ‘strucchange’ ... ** this is package ‘strucchange’ version ‘1.5-4’ ** package ‘strucchange’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpz417o4/R.INSTALL31448524d7f986/strucchange/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c strucchange_functions.c -o strucchange_functions.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c strucchange_init.c -o strucchange_init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o strucchange.so strucchange_functions.o strucchange_init.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpz417o4/R.INSTALL31448524d7f986/strucchange/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-strucchange/00new/strucchange/libs ** R ** data *** moving datasets to lazyload DB ** 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 (strucchange) * installing *source* package ‘multcomp’ ... ** this is package ‘multcomp’ version ‘1.4-28’ ** package ‘multcomp’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (multcomp) begin installing package ‘coin’ * installing *source* package ‘tzdb’ ... ** this is package ‘tzdb’ version ‘0.5.0’ ** package ‘tzdb’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCoS0v5/R.INSTALL31341d3837198d/tzdb/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c api.cpp -o api.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c names.cpp -o names.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c path.cpp -o path.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c tz.cpp -o tz.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DINSTALL=dummy -DAUTO_DOWNLOAD=0 -DHAS_REMOTE_API=0 -DUSE_OS_TZDB=0 -DONLY_C_LOCALE=1 -fpic -g -O2 -Wall -pedantic -mtune=native -c version.cpp -o version.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o tzdb.so api.o cpp11.o names.o path.o tz.o version.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCoS0v5/R.INSTALL31341d3837198d/tzdb/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-tzdb/00new/tzdb/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 (tzdb) * installing *source* package ‘future.apply’ ... ** this is package ‘future.apply’ version ‘1.11.3’ ** package ‘future.apply’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (future.apply) begin installing package ‘lava’ * installing *source* package ‘gam’ ... ** this is package ‘gam’ version ‘1.22-5’ ** package ‘gam’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpr8pxMc/R.INSTALL3141a93cc744f8/gam/src' gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c backfit.f -o backfit.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c backlo.f -o backlo.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c bsplvd.f -o bsplvd.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c bvalue.f -o bvalue.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c bvalus.f -o bvalus.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gam_init.c -o gam_init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c linear.f -o linear.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c lo.f -o lo.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c loessc.c -o loessc.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c loessf.f -o loessf.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c qsbart.f -o qsbart.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sbart.c -o sbart.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c sgram.f -o sgram.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c sinerp.f -o sinerp.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c splsm.f -o splsm.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c sslvrg.f -o sslvrg.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c stxwx.f -o stxwx.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o gam.so backfit.o backlo.o bsplvd.o bvalue.o bvalus.o gam_init.o linear.o lo.o loessc.o loessf.o qsbart.o sbart.o sgram.o sinerp.o splsm.o sslvrg.o stxwx.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpr8pxMc/R.INSTALL3141a93cc744f8/gam/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-gam/00new/gam/libs ** 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 ** 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 (gam) * installing *source* package ‘jquerylib’ ... ** this is package ‘jquerylib’ version ‘0.1.4’ ** package ‘jquerylib’ 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 (jquerylib) * installing *source* package ‘bbmle’ ... ** this is package ‘bbmle’ version ‘1.0.25.1’ ** package ‘bbmle’ 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 (bbmle) * installing *source* package ‘waldo’ ... ** this is package ‘waldo’ version ‘0.6.1’ ** package ‘waldo’ 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 (waldo) * installing *source* package ‘fontawesome’ ... ** this is package ‘fontawesome’ version ‘0.5.3’ ** package ‘fontawesome’ 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 (fontawesome) * installing *source* package ‘callr’ ... ** this is package ‘callr’ version ‘3.7.6’ ** package ‘callr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading R6Class r_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class r_session: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rcmd_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. R6Class rscript_process: finalize() method is public, but it should be private as of R6 2.4.0. This code will continue to work, but in a future version of R6, finalize() will be required to be private. ** 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 (callr) begin installing package ‘pkgbuild’ * installing *source* package ‘gridExtra’ ... ** this is package ‘gridExtra’ version ‘2.3’ ** package ‘gridExtra’ 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 (gridExtra) * installing *source* package ‘scam’ ... ** this is package ‘scam’ version ‘1.2-18’ ** package ‘scam’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpU1os1y/R.INSTALL3131132767b410/scam/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c scam_init.c -o scam_init.o In file included from scam_init.c:8: scam.h:74:1: warning: "/*" within comment [-Wcomment] 74 | /* service routines */ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c someone.c -o someone.o In file included from someone.c:26: scam.h:74:1: warning: "/*" within comment [-Wcomment] 74 | /* service routines */ gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o scam.so scam_init.o someone.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -fopenmp -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpU1os1y/R.INSTALL3131132767b410/scam/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-scam/00new/scam/libs ** R ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context ** 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 (scam) * installing *source* package ‘farver’ ... ** this is package ‘farver’ version ‘2.1.2’ ** package ‘farver’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmppUQtwi/R.INSTALL3119ea14fa134c/farver/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ColorSpace.cpp -o ColorSpace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Comparison.cpp -o Comparison.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Conversion.cpp -o Conversion.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c encode.cpp -o encode.o encode.cpp: In function ‘int double2int(double)’: encode.cpp:22:33: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 22 | return reinterpret_cast(d); | ^ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c farver.cpp -o farver.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o farver.so ColorSpace.o Comparison.o Conversion.o encode.o farver.o init.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmppUQtwi/R.INSTALL3119ea14fa134c/farver/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-farver/00new/farver/libs ** 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 ** 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 (farver) begin installing package ‘scales’ * installing *source* package ‘pkgbuild’ ... ** this is package ‘pkgbuild’ version ‘1.4.7’ ** package ‘pkgbuild’ 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 (pkgbuild) * installing *source* package ‘quantreg’ ... ** this is package ‘quantreg’ version ‘6.1’ ** package ‘quantreg’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpb7FVkr/R.INSTALL313a5d3513a976/quantreg/src' gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c akj.f -o akj.o akj.f:117:5: 117 | 23041 continue | 1 Warning: Label 23041 at (1) defined but not used [-Wunused-label] akj.f:107:5: 107 | 23037 continue | 1 Warning: Label 23037 at (1) defined but not used [-Wunused-label] akj.f:124:5: 124 | 23033 continue | 1 Warning: Label 23033 at (1) defined but not used [-Wunused-label] akj.f:94:5: 94 | 23031 continue | 1 Warning: Label 23031 at (1) defined but not used [-Wunused-label] akj.f:88:5: 88 | 23029 continue | 1 Warning: Label 23029 at (1) defined but not used [-Wunused-label] akj.f:78:5: 78 | 23027 continue | 1 Warning: Label 23027 at (1) defined but not used [-Wunused-label] akj.f:71:5: 71 | 23023 continue | 1 Warning: Label 23023 at (1) defined but not used [-Wunused-label] akj.f:83:5: 83 | 23019 continue | 1 Warning: Label 23019 at (1) defined but not used [-Wunused-label] akj.f:31:5: 31 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] akj.f:89:8: 89 | g=exp(glog) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] akj.f:90:11: 90 | ginv=one/g | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] akj.f:120:72: 120 | dens(j)=con1*xker | ^ Warning: ‘con1’ may be used uninitialized [-Wmaybe-uninitialized] akj.f:6:27: 6 | double precision con1,sum,sqsum,xsd,a,fifth,hinv,half | ^ note: ‘con1’ was declared here akj.f:53:72: 53 | qrange=x(i)-qrange | ^ Warning: ‘qrange’ may be used uninitialized [-Wmaybe-uninitialized] akj.f:5:56: 5 | double precision z(nz),x(nx),xlam(nx),p(nx),qrange,pi | ^ note: ‘qrange’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c boot.f -o boot.o boot.f:12:5: 12 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] boot.f:28:5: 28 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] boot.f:30:5: 30 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] boot.f:33:5: 33 | 23003 continue | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] boot.f:48:5: 48 | 23013 continue | 1 Warning: Label 23013 at (1) defined but not used [-Wunused-label] boot.f:50:5: 50 | 23011 continue | 1 Warning: Label 23011 at (1) defined but not used [-Wunused-label] boot.f:53:5: 53 | 23009 continue | 1 Warning: Label 23009 at (1) defined but not used [-Wunused-label] boot.f:63:5: 63 | 23017 continue | 1 Warning: Label 23017 at (1) defined but not used [-Wunused-label] boot.f:65:5: 65 | 23015 continue | 1 Warning: Label 23015 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c bound.f -o bound.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c boundc.f -o boundc.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c brute.f -o brute.o brute.f:24:5: 24 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] brute.f:32:5: 32 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c chlfct.f -o chlfct.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cholesky.f -o cholesky.o cholesky.f:1981:20: 1981 | CACHE = ( FLOAT(CACHSZ) * 1024. / 8. ) * 0.9 | 1 Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1) [-Wconversion] cholesky.f:5674:34: 5674 | & NOFSUB, XLINDX, LINDX , XLNZ , MRGLNK, | 1 Warning: Unused dummy argument ‘nofsub’ at (1) [-Wunused-dummy-argument] cholesky.f:2280:49: 2280 | SUBROUTINE FSUP2 ( NEQNS , NSUPER, ETPAR , SNODE , XSUPER ) | 1 Warning: Unused dummy argument ‘etpar’ at (1) [-Wunused-dummy-argument] cholesky.f:1207:50: 1207 | SUBROUTINE CHORDR ( NEQNS , XADJ , ADJNCY, PERM , INVP , | 1 Warning: Unused dummy argument ‘adjncy’ at (1) [-Wunused-dummy-argument] cholesky.f:1207:40: 1207 | SUBROUTINE CHORDR ( NEQNS , XADJ , ADJNCY, PERM , INVP , | 1 Warning: Unused dummy argument ‘xadj’ at (1) [-Wunused-dummy-argument] cholesky.f:3100:46: 3100 | SUBROUTINE MMDINT ( NEQNS, XADJ, ADJNCY, DHEAD, DFORW, | 1 Warning: Unused dummy argument ‘adjncy’ at (1) [-Wunused-dummy-argument] cholesky.f:4876:62: 4876 | SUBROUTINE PCHOL ( M, N, XPNT, X, MXDIAG, NTINY, IFLAG, SMXPY, | 1 Warning: Unused dummy argument ‘iflag’ at (1) [-Wunused-dummy-argument] cholesky.f:2583:33: 2583 | SUBROUTINE INPNV ( NEQNS, XADJF, ADJF, ANZF, PERM, INVP, | 1 Warning: Unused dummy argument ‘neqns’ at (1) [-Wunused-dummy-argument] cholesky.f:2785:57: 2785 | SUBROUTINE LSTATS ( NSUPER, XSUPER, XLINDX, LINDX , XLNZ , | 1 Warning: Unused dummy argument ‘lindx’ at (1) [-Wunused-dummy-argument] cholesky.f:2786:42: 2786 | & TMPSIZ, OUTUNT ) | 1 Warning: Unused dummy argument ‘outunt’ at (1) [-Wunused-dummy-argument] cholesky.f:2786:34: 2786 | & TMPSIZ, OUTUNT ) | 1 Warning: Unused dummy argument ‘tmpsiz’ at (1) [-Wunused-dummy-argument] cholesky.f:72:72: 72 | YOFF1 = IY1 - ICOL | ^ Warning: ‘iy1’ may be used uninitialized [-Wmaybe-uninitialized] cholesky.f:55:55: 55 | INTEGER ICOL , IL1 , IR , IY1 , LBOT1 , | ^ note: ‘iy1’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c combos.f -o combos.o combos.f:72:5: 72 | 23029 continue | 1 Warning: Label 23029 at (1) defined but not used [-Wunused-label] combos.f:76:5: 76 | 23012 goto 23011 | 1 Warning: Label 23012 at (1) defined but not used [-Wunused-label] combos.f:28:5: 28 | 23008 continue | 1 Warning: Label 23008 at (1) defined but not used [-Wunused-label] combos.f:23:5: 23 | 23001 goto 23000 | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c crqf.f -o crqf.o crqf.f:301:4: 301 | 365 DO 380 I = (LSOL-1),N1 | 1 Warning: Label 365 at (1) defined but not used [-Wunused-label] crqf.f:277:4: 277 | 315 CALL DGECO(XH,N,N,IA,V,WA) | 1 Warning: Label 315 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c crqfnb.f -o crqfnb.o crqfnb.f:22:5: 22 | 23003 continue | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dsel05.f -o dsel05.o dsel05.f:65:14: 65 | s=cs*exp(2*z/3)+0.5d0 | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] dsel05.f:66:15: 66 | sd=csd*sqrt(z*s*(1-s/dm))*sign(1d0,i-dm/2)+0.5d0 | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] dsel05.f:75:14: 75 | l=max(dble(l),k-i*(s/dm)+sd)+0.5d0 | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] dsel05.f:76:14: 76 | r=min(dble(r),k-i*(s/dm)+sd+s)+0.5d0 | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c extract.f -o extract.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c frand.c -o frand.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c grexp.f -o grexp.o grexp.f:9:5: 9 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c idmin.f -o idmin.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c iswap.f -o iswap.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c kuantile.f -o kuantile.o kuantile.f:10:5: 10 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c kuantiles.f -o kuantiles.o kuantiles.f:10:5: 10 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c linpack.f -o linpack.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mcmb.c -o mcmb.o mcmb.c: In function ‘func’: mcmb.c:176:32: warning: variable ‘large’ set but not used [-Wunused-but-set-variable] 176 | double taustar, pwtsum, ans, large; | ^~~~~ mcmb.c:175:16: warning: variable ‘mm’ set but not used [-Wunused-but-set-variable] 175 | unsigned int mm; | ^~ gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c penalty.f -o penalty.o penalty.f:41:5: 41 | 23016 continue | 1 Warning: Label 23016 at (1) defined but not used [-Wunused-label] penalty.f:26:5: 26 | 23010 continue | 1 Warning: Label 23010 at (1) defined but not used [-Wunused-label] penalty.f:50:5: 50 | 23003 goto 23002 | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] penalty.f:53:5: 53 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] penalty.f:109:5: 109 | 23031 continue | 1 Warning: Label 23031 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c pfnb.f -o pfnb.o pfnb.f:98:5: 98 | 23027 continue | 1 Warning: Label 23027 at (1) defined but not used [-Wunused-label] pfnb.f:70:5: 70 | 23025 continue | 1 Warning: Label 23025 at (1) defined but not used [-Wunused-label] pfnb.f:64:5: 64 | 23021 continue | 1 Warning: Label 23021 at (1) defined but not used [-Wunused-label] pfnb.f:75:5: 75 | 23015 continue | 1 Warning: Label 23015 at (1) defined but not used [-Wunused-label] pfnb.f:46:5: 46 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] pfnb.f:31:5: 31 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] pfnb.f:114:5: 114 | 23003 continue | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] pfnb.f:116:5: 116 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] pfnb.f:124:5: 124 | 23037 continue | 1 Warning: Label 23037 at (1) defined but not used [-Wunused-label] pfnb.f:133:5: 133 | 23039 continue | 1 Warning: Label 23039 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c powell.f -o powell.o powell.f:70:5: 70 | 23026 continue | 1 Warning: Label 23026 at (1) defined but not used [-Wunused-label] powell.f:51:5: 51 | 23016 continue | 1 Warning: Label 23016 at (1) defined but not used [-Wunused-label] powell.f:36:5: 36 | 23010 continue | 1 Warning: Label 23010 at (1) defined but not used [-Wunused-label] powell.f:22:5: 22 | 23008 continue | 1 Warning: Label 23008 at (1) defined but not used [-Wunused-label] powell.f:77:5: 77 | 23001 goto 23000 | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] powell.f:114:5: 114 | 23040 continue | 1 Warning: Label 23040 at (1) defined but not used [-Wunused-label] powell.f:116:5: 116 | 23038 continue | 1 Warning: Label 23038 at (1) defined but not used [-Wunused-label] powell.f:127:5: 127 | 23044 continue | 1 Warning: Label 23044 at (1) defined but not used [-Wunused-label] powell.f:142:5: 142 | 23048 continue | 1 Warning: Label 23048 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c profnb.f -o profnb.o profnb.f:23:5: 23 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c pwxy.f -o pwxy.o pwxy.f:92:5: 92 | 23025 continue | 1 Warning: Label 23025 at (1) defined but not used [-Wunused-label] pwxy.f:64:5: 64 | 23023 continue | 1 Warning: Label 23023 at (1) defined but not used [-Wunused-label] pwxy.f:58:5: 58 | 23019 continue | 1 Warning: Label 23019 at (1) defined but not used [-Wunused-label] pwxy.f:69:5: 69 | 23013 continue | 1 Warning: Label 23013 at (1) defined but not used [-Wunused-label] pwxy.f:39:5: 39 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] pwxy.f:108:5: 108 | 23003 continue | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] pwxy.f:110:5: 110 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] pwxy.f:2:49: 2 | subroutine pwxy(n,p,m,a,y,tau,qk,r,b,w,band,n0,d,u,wn,wp, aa,yy,sl | 1 Warning: Unused dummy argument ‘band’ at (1) [-Wunused-dummy-argument] pwxy.f:4:25: 4 | integer n,p,m,kk(2),nn,n0,nit(5,m),info(m),sumbad,i,j,k,ir | 1 Warning: Unused variable ‘kk’ declared at (1) [-Wunused-variable] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c qfnb.f -o qfnb.o qfnb.f:23:5: 23 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c qselect.f -o qselect.o qselect.f:50:5: 50 | 23011 continue | 1 Warning: Label 23011 at (1) defined but not used [-Wunused-label] qselect.f:45:5: 45 | 23009 continue | 1 Warning: Label 23009 at (1) defined but not used [-Wunused-label] qselect.f:53:5: 53 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] qselect.f:68:5: 68 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c quantreg_init.c -o quantreg_init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rls.f -o rls.o rls.f:17:5: 17 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rq0.f -o rq0.o rq0.f:98:3: 98 | 43 CONTINUE | 1 Warning: Label 43 at (1) defined but not used [-Wunused-label] rq0.f:100:13: 100 | S(I) = ZERO | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rq0.f:269:8: 269 | K=WA(I,N2)*SIGN(ONE,WA(I,N2)) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rq0.f:274:10: 274 | K = WA(I,N2) * SIGN(ONE,WA(I,N2)) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rq0.f:150:9: 150 | IF(WA(M1,IN).GE.ZERO)GOTO 100 | ^ Warning: ‘in’ may be used uninitialized [-Wmaybe-uninitialized] rq0.f:148:8: 148 | IN=J | ^ note: ‘in’ was declared here rq0.f:193:72: 193 | 180 PIVOT=WA(OUT,IN) | ^ Warning: ‘out’ may be used uninitialized [-Wmaybe-uninitialized] rq0.f:27:25: 27 | INTEGER N,N1,N2,OUT,S(M) | ^ note: ‘out’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rq1.f -o rq1.o rq1.f:100:3: 100 | 43 CONTINUE | 1 Warning: Label 43 at (1) defined but not used [-Wunused-label] rq1.f:102:13: 102 | S(I) = ZERO | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rq1.f:271:8: 271 | K=WA(I,N2)*SIGN(ONE,WA(I,N2)) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rq1.f:276:10: 276 | K = WA(I,N2) * SIGN(ONE,WA(I,N2)) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rq1.f:152:9: 152 | IF(WA(M1,IN).GE.ZERO)GOTO 100 | ^ Warning: ‘in’ may be used uninitialized [-Wmaybe-uninitialized] rq1.f:150:8: 150 | IN=J | ^ note: ‘in’ was declared here rq1.f:195:72: 195 | 180 PIVOT=WA(OUT,IN) | ^ Warning: ‘out’ may be used uninitialized [-Wmaybe-uninitialized] rq1.f:28:30: 28 | INTEGER MDIM,N,N1,N2,OUT,S(MDIM) | ^ note: ‘out’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rqbr.f -o rqbr.o rqbr.f:567:5: 567 | 23243 continue | 1 Warning: Label 23243 at (1) defined but not used [-Wunused-label] rqbr.f:527:5: 527 | 23231 continue | 1 Warning: Label 23231 at (1) defined but not used [-Wunused-label] rqbr.f:514:5: 514 | 23227 continue | 1 Warning: Label 23227 at (1) defined but not used [-Wunused-label] rqbr.f:517:5: 517 | 23223 continue | 1 Warning: Label 23223 at (1) defined but not used [-Wunused-label] rqbr.f:506:5: 506 | 23221 continue | 1 Warning: Label 23221 at (1) defined but not used [-Wunused-label] rqbr.f:481:5: 481 | 23205 continue | 1 Warning: Label 23205 at (1) defined but not used [-Wunused-label] rqbr.f:462:5: 462 | 23203 continue | 1 Warning: Label 23203 at (1) defined but not used [-Wunused-label] rqbr.f:458:5: 458 | 23201 continue | 1 Warning: Label 23201 at (1) defined but not used [-Wunused-label] rqbr.f:432:5: 432 | 23193 continue | 1 Warning: Label 23193 at (1) defined but not used [-Wunused-label] rqbr.f:425:5: 425 | 23191 continue | 1 Warning: Label 23191 at (1) defined but not used [-Wunused-label] rqbr.f:375:5: 375 | 23171 continue | 1 Warning: Label 23171 at (1) defined but not used [-Wunused-label] rqbr.f:393:5: 393 | 23169 continue | 1 Warning: Label 23169 at (1) defined but not used [-Wunused-label] rqbr.f:361:5: 361 | 23167 continue | 1 Warning: Label 23167 at (1) defined but not used [-Wunused-label] rqbr.f:348:5: 348 | 23161 continue | 1 Warning: Label 23161 at (1) defined but not used [-Wunused-label] rqbr.f:341:5: 341 | 23157 continue | 1 Warning: Label 23157 at (1) defined but not used [-Wunused-label] rqbr.f:336:5: 336 | 23155 continue | 1 Warning: Label 23155 at (1) defined but not used [-Wunused-label] rqbr.f:327:5: 327 | 23147 continue | 1 Warning: Label 23147 at (1) defined but not used [-Wunused-label] rqbr.f:317:5: 317 | 23141 continue | 1 Warning: Label 23141 at (1) defined but not used [-Wunused-label] rqbr.f:303:5: 303 | 23139 continue | 1 Warning: Label 23139 at (1) defined but not used [-Wunused-label] rqbr.f:294:5: 294 | 23133 continue | 1 Warning: Label 23133 at (1) defined but not used [-Wunused-label] rqbr.f:277:5: 277 | 23129 continue | 1 Warning: Label 23129 at (1) defined but not used [-Wunused-label] rqbr.f:272:5: 272 | 23121 continue | 1 Warning: Label 23121 at (1) defined but not used [-Wunused-label] rqbr.f:258:5: 258 | 23117 continue | 1 Warning: Label 23117 at (1) defined but not used [-Wunused-label] rqbr.f:243:5: 243 | 23111 continue | 1 Warning: Label 23111 at (1) defined but not used [-Wunused-label] rqbr.f:234:5: 234 | 23107 continue | 1 Warning: Label 23107 at (1) defined but not used [-Wunused-label] rqbr.f:237:5: 237 | 23103 continue | 1 Warning: Label 23103 at (1) defined but not used [-Wunused-label] rqbr.f:225:5: 225 | 23099 continue | 1 Warning: Label 23099 at (1) defined but not used [-Wunused-label] rqbr.f:217:5: 217 | 23097 continue | 1 Warning: Label 23097 at (1) defined but not used [-Wunused-label] rqbr.f:208:5: 208 | 23095 continue | 1 Warning: Label 23095 at (1) defined but not used [-Wunused-label] rqbr.f:187:5: 187 | 23085 continue | 1 Warning: Label 23085 at (1) defined but not used [-Wunused-label] rqbr.f:210:5: 210 | 23080 goto 23079 | 1 Warning: Label 23080 at (1) defined but not used [-Wunused-label] rqbr.f:174:5: 174 | 23076 continue | 1 Warning: Label 23076 at (1) defined but not used [-Wunused-label] rqbr.f:279:5: 279 | 23073 goto 23072 | 1 Warning: Label 23073 at (1) defined but not used [-Wunused-label] rqbr.f:159:5: 159 | 23071 continue | 1 Warning: Label 23071 at (1) defined but not used [-Wunused-label] rqbr.f:151:5: 151 | 23059 continue | 1 Warning: Label 23059 at (1) defined but not used [-Wunused-label] rqbr.f:281:5: 281 | 23056 goto 23055 | 1 Warning: Label 23056 at (1) defined but not used [-Wunused-label] rqbr.f:283:5: 283 | 23053 goto 23052 | 1 Warning: Label 23053 at (1) defined but not used [-Wunused-label] rqbr.f:127:5: 127 | 23049 continue | 1 Warning: Label 23049 at (1) defined but not used [-Wunused-label] rqbr.f:491:5: 491 | 23046 goto 23045 | 1 Warning: Label 23046 at (1) defined but not used [-Wunused-label] rqbr.f:116:5: 116 | 23044 continue | 1 Warning: Label 23044 at (1) defined but not used [-Wunused-label] rqbr.f:119:5: 119 | 23042 continue | 1 Warning: Label 23042 at (1) defined but not used [-Wunused-label] rqbr.f:104:5: 104 | 23038 continue | 1 Warning: Label 23038 at (1) defined but not used [-Wunused-label] rqbr.f:107:5: 107 | 23036 continue | 1 Warning: Label 23036 at (1) defined but not used [-Wunused-label] rqbr.f:91:5: 91 | 23034 continue | 1 Warning: Label 23034 at (1) defined but not used [-Wunused-label] rqbr.f:78:5: 78 | 23022 continue | 1 Warning: Label 23022 at (1) defined but not used [-Wunused-label] rqbr.f:94:5: 94 | 23020 continue | 1 Warning: Label 23020 at (1) defined but not used [-Wunused-label] rqbr.f:562:5: 562 | 23017 goto 23016 | 1 Warning: Label 23017 at (1) defined but not used [-Wunused-label] rqbr.f:54:5: 54 | 23013 continue | 1 Warning: Label 23013 at (1) defined but not used [-Wunused-label] rqbr.f:50:5: 50 | 23011 continue | 1 Warning: Label 23011 at (1) defined but not used [-Wunused-label] rqbr.f:300:10: 300 | k = abs(wa(i,n4)) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rqbr.f:306:11: 306 | kd = abs(wa(m4,i))-n | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rqbr.f:319:11: 319 | kd = abs(wa(i,n4))-n | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rqbr.f:357:10: 357 | k = abs(wa(i,n4)) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rqbr.f:365:10: 365 | k = abs(wa(i,n4))-n | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rqbr.f:521:10: 521 | k = abs(wa(i,n4)) | 1 Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1) [-Wconversion] rqbr.f:9:68: 9 | double precision a1,aux,b1,big,d,dif,pivot,smax,t,t0,t1,tnt,dk | 1 Warning: Unused variable ‘dk’ declared at (1) [-Wunused-variable] rqbr.f:483:9: 483 | if(tnt.ge.t1+toler)then | ^ Warning: ‘t1’ may be used uninitialized [-Wmaybe-uninitialized] rqbr.f:9:61: 9 | double precision a1,aux,b1,big,d,dif,pivot,smax,t,t0,t1,tnt,dk | ^ note: ‘t1’ was declared here rqbr.f:273:9: 273 | if(wa(m1,in).lt.zero)then | ^ Warning: ‘in’ may be used uninitialized [-Wmaybe-uninitialized] rqbr.f:5:19: 5 | integer kd,in,nn,n4,idxcf | ^ note: ‘in’ was declared here rqbr.f:9:53: 9 | double precision a1,aux,b1,big,d,dif,pivot,smax,t,t0,t1,tnt,dk | ^ Warning: ‘smax’ may be used uninitialized [-Wmaybe-uninitialized] rqbr.f:433:72: 433 | wa(out,n4) = -wa(out,n4) | ^ Warning: ‘out’ may be used uninitialized [-Wmaybe-uninitialized] rqbr.f:6:39: 6 | integer n,n1,n2,n3,nsol,ndsol,out,s(m),h(nn,nsol) | ^ note: ‘out’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rqfn.f -o rqfn.o rqfn.f:144:5: 144 | 23031 continue | 1 Warning: Label 23031 at (1) defined but not used [-Wunused-label] rqfn.f:119:5: 119 | 23029 continue | 1 Warning: Label 23029 at (1) defined but not used [-Wunused-label] rqfn.f:104:5: 104 | 23017 continue | 1 Warning: Label 23017 at (1) defined but not used [-Wunused-label] rqfn.f:74:5: 74 | 23013 continue | 1 Warning: Label 23013 at (1) defined but not used [-Wunused-label] rqfn.f:160:5: 160 | 23011 continue | 1 Warning: Label 23011 at (1) defined but not used [-Wunused-label] rqfn.f:61:5: 61 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] rqfn.f:42:5: 42 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] rqfn.f:45:5: 45 | 23003 continue | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rqfnb.f -o rqfnb.o rqfnb.f:130:5: 130 | 23029 continue | 1 Warning: Label 23029 at (1) defined but not used [-Wunused-label] rqfnb.f:103:5: 103 | 23027 continue | 1 Warning: Label 23027 at (1) defined but not used [-Wunused-label] rqfnb.f:90:5: 90 | 23015 continue | 1 Warning: Label 23015 at (1) defined but not used [-Wunused-label] rqfnb.f:60:5: 60 | 23011 continue | 1 Warning: Label 23011 at (1) defined but not used [-Wunused-label] rqfnb.f:142:5: 142 | 23009 continue | 1 Warning: Label 23009 at (1) defined but not used [-Wunused-label] rqfnb.f:51:5: 51 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] rqfnb.f:34:5: 34 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] rqfnb.f:162:5: 162 | 23043 continue | 1 Warning: Label 23043 at (1) defined but not used [-Wunused-label] rqfnb.f:156:5: 156 | 23041 continue | 1 Warning: Label 23041 at (1) defined but not used [-Wunused-label] rqfnb.f:158:5: 158 | 23039 continue | 1 Warning: Label 23039 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rqfnc.f -o rqfnc.o rqfnc.f:186:5: 186 | 23051 continue | 1 Warning: Label 23051 at (1) defined but not used [-Wunused-label] rqfnc.f:173:5: 173 | 23041 continue | 1 Warning: Label 23041 at (1) defined but not used [-Wunused-label] rqfnc.f:145:5: 145 | 23039 continue | 1 Warning: Label 23039 at (1) defined but not used [-Wunused-label] rqfnc.f:141:5: 141 | 23037 continue | 1 Warning: Label 23037 at (1) defined but not used [-Wunused-label] rqfnc.f:124:5: 124 | 23029 continue | 1 Warning: Label 23029 at (1) defined but not used [-Wunused-label] rqfnc.f:111:5: 111 | 23019 continue | 1 Warning: Label 23019 at (1) defined but not used [-Wunused-label] rqfnc.f:82:5: 82 | 23015 continue | 1 Warning: Label 23015 at (1) defined but not used [-Wunused-label] rqfnc.f:77:5: 77 | 23013 continue | 1 Warning: Label 23013 at (1) defined but not used [-Wunused-label] rqfnc.f:200:5: 200 | 23011 continue | 1 Warning: Label 23011 at (1) defined but not used [-Wunused-label] rqfnc.f:63:5: 63 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] rqfnc.f:46:5: 46 | 23003 continue | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] rqfnc.f:41:5: 41 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] rqfnc.f:224:5: 224 | 23063 continue | 1 Warning: Label 23063 at (1) defined but not used [-Wunused-label] rqfnc.f:220:5: 220 | 23061 continue | 1 Warning: Label 23061 at (1) defined but not used [-Wunused-label] rqfnc.f:214:5: 214 | 23059 continue | 1 Warning: Label 23059 at (1) defined but not used [-Wunused-label] rqfnc.f:216:5: 216 | 23057 continue | 1 Warning: Label 23057 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rqs.f -o rqs.o rqs.f:9:5: 9 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c sakj.f -o sakj.o sakj.f:117:5: 117 | 23041 continue | 1 Warning: Label 23041 at (1) defined but not used [-Wunused-label] sakj.f:107:5: 107 | 23037 continue | 1 Warning: Label 23037 at (1) defined but not used [-Wunused-label] sakj.f:124:5: 124 | 23033 continue | 1 Warning: Label 23033 at (1) defined but not used [-Wunused-label] sakj.f:94:5: 94 | 23031 continue | 1 Warning: Label 23031 at (1) defined but not used [-Wunused-label] sakj.f:88:5: 88 | 23029 continue | 1 Warning: Label 23029 at (1) defined but not used [-Wunused-label] sakj.f:78:5: 78 | 23027 continue | 1 Warning: Label 23027 at (1) defined but not used [-Wunused-label] sakj.f:71:5: 71 | 23023 continue | 1 Warning: Label 23023 at (1) defined but not used [-Wunused-label] sakj.f:83:5: 83 | 23019 continue | 1 Warning: Label 23019 at (1) defined but not used [-Wunused-label] sakj.f:31:5: 31 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] sakj.f:89:8: 89 | g=exp(glog) | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] sakj.f:90:11: 90 | ginv=one/g | 1 Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1) [-Wconversion] sakj.f:120:72: 120 | dens(j)=con1*xker | ^ Warning: ‘con1’ may be used uninitialized [-Wmaybe-uninitialized] sakj.f:6:27: 6 | double precision con1,sum,sqsum,xsd,a,fifth,hinv,half | ^ note: ‘con1’ was declared here sakj.f:53:72: 53 | qrange=x(i)-qrange | ^ Warning: ‘qrange’ may be used uninitialized [-Wmaybe-uninitialized] sakj.f:5:56: 5 | double precision z(nz),x(nx),xlam(nx),p(nx),qrange,pi | ^ note: ‘qrange’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c sparskit2.f -o sparskit2.o sparskit2.f:395:14: 395 | return | 1 Warning: Nonconforming tab character at (1) [-Wtabs] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c srqfn.f -o srqfn.o srqfn.f:35:67: 35 | & split,tmpmax,tmpvec,newrhs,cachsz,level,x,s,u, | 1 Warning: Unused dummy argument ‘u’ at (1) [-Wunused-dummy-argument] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c srqfnc.f -o srqfnc.o srqfnc.f:25:22: 25 | parameter (beta=9.995d-1, one=1.0d0, zero=0.0d0) | 1 Warning: Change of value in conversion from ‘REAL(8)’ to ‘REAL(4)’ at (1) [-Wconversion] srqfnc.f:47:24: 47 | & c1,c2,y,b,r2,z1, | 1 Warning: Unused dummy argument ‘c1’ at (1) [-Wunused-dummy-argument] srqfnc.f:46:69: 46 | & tmpmax,tmpvec,rhs,newrhs,cachsz,level,x1,x2,s,u, | 1 Warning: Unused dummy argument ‘u’ at (1) [-Wunused-dummy-argument] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c srtpai.f -o srtpai.o srtpai.f:51:34: 51 | SUBROUTINE I1SRT ( SA, SP, N ) | 1 Warning: Unused dummy argument ‘n’ at (1) [-Wunused-dummy-argument] srtpai.f:51:27: 51 | SUBROUTINE I1SRT ( SA, SP, N ) | 1 Warning: Unused dummy argument ‘sa’ at (1) [-Wunused-dummy-argument] srtpai.f:51:31: 51 | SUBROUTINE I1SRT ( SA, SP, N ) | 1 Warning: Unused dummy argument ‘sp’ at (1) [-Wunused-dummy-argument] gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o quantreg.so akj.o boot.o bound.o boundc.o brute.o chlfct.o cholesky.o combos.o crqf.o crqfnb.o dsel05.o extract.o frand.o grexp.o idmin.o iswap.o kuantile.o kuantiles.o linpack.o mcmb.o penalty.o pfnb.o powell.o profnb.o pwxy.o qfnb.o qselect.o quantreg_init.o rls.o rq0.o rq1.o rqbr.o rqfn.o rqfnb.o rqfnc.o rqs.o sakj.o sparskit2.o srqfn.o srqfnc.o srtpai.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpb7FVkr/R.INSTALL313a5d3513a976/quantreg/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-quantreg/00new/quantreg/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (quantreg) * installing *source* package ‘gbm’ ... ** this is package ‘gbm’ version ‘2.2.2’ ** package ‘gbm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpCK4Baf/R.INSTALL312bb1573cd97a/gbm/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c adaboost.cpp -o adaboost.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bernoulli.cpp -o bernoulli.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c coxph.cpp -o coxph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dataset.cpp -o dataset.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c distribution.cpp -o distribution.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gaussian.cpp -o gaussian.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gbm-init.c -o gbm-init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gbm.cpp -o gbm.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gbm_engine.cpp -o gbm_engine.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gbmentry.cpp -o gbmentry.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c huberized.cpp -o huberized.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c laplace.cpp -o laplace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c locationm.cpp -o locationm.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c multinomial.cpp -o multinomial.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c node.cpp -o node.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c node_categorical.cpp -o node_categorical.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c node_continuous.cpp -o node_continuous.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c node_factory.cpp -o node_factory.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c node_nonterminal.cpp -o node_nonterminal.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c node_search.cpp -o node_search.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c node_terminal.cpp -o node_terminal.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pairwise.cpp -o pairwise.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c poisson.cpp -o poisson.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c quantile.cpp -o quantile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tdist.cpp -o tdist.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tree.cpp -o tree.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o gbm.so adaboost.o bernoulli.o coxph.o dataset.o distribution.o gaussian.o gbm-init.o gbm.o gbm_engine.o gbmentry.o huberized.o laplace.o locationm.o multinomial.o node.o node_categorical.o node_continuous.o node_factory.o node_nonterminal.o node_search.o node_terminal.o pairwise.o poisson.o quantile.o tdist.o tree.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpCK4Baf/R.INSTALL312bb1573cd97a/gbm/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-gbm/00new/gbm/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 (gbm) * installing *source* package ‘deSolve’ ... ** this is package ‘deSolve’ version ‘1.40’ ** package ‘deSolve’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpgymJWn/R.INSTALL3122291f35cd29/deSolve/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c DLLutil.c -o DLLutil.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_deSolve.c -o R_init_deSolve.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c brent.c -o brent.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_daspk.c -o call_daspk.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_euler.c -o call_euler.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_iteration.c -o call_iteration.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_lsoda.c -o call_lsoda.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_radau.c -o call_radau.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_rk4.c -o call_rk4.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_rkAuto.c -o call_rkAuto.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_rkFixed.c -o call_rkFixed.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_rkImplicit.c -o call_rkImplicit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c call_zvode.c -o call_zvode.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c daux.f -o daux.o daux.f:7:44: 7 | DOUBLE PRECISION FUNCTION D1MACH (IDUM) | 1 Warning: Unused dummy argument ‘idum’ at (1) [-Wunused-dummy-argument] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c ddaspk.f -o ddaspk.o ddaspk.f:3513:58: 3513 | DOUBLE PRECISION FUNCTION DDWNRM(NEQ,V,RWT,RPAR,IPAR) | 1 Warning: Unused dummy argument ‘ipar’ at (1) [-Wunused-dummy-argument] ddaspk.f:3513:53: 3513 | DOUBLE PRECISION FUNCTION DDWNRM(NEQ,V,RWT,RPAR,IPAR) | 1 Warning: Unused dummy argument ‘rpar’ at (1) [-Wunused-dummy-argument] ddaspk.f:5198:64: 5198 | * SQRTN, RSQRTN, LSOFF, STPTOL, IRET, RES, IRES, PSOL, WM, IWM, | 1 Warning: Unused dummy argument ‘wm’ at (1) [-Wunused-dummy-argument] ddaspk.f:4398:48: 4398 | * DUMSVR,DELTA,E,WM,IWM,CJ,DUMS,DUMR,DUME,EPCON, | 1 Warning: Unused dummy argument ‘dume’ at (1) [-Wunused-dummy-argument] ddaspk.f:4398:43: 4398 | * DUMSVR,DELTA,E,WM,IWM,CJ,DUMS,DUMR,DUME,EPCON, | 1 Warning: Unused dummy argument ‘dumr’ at (1) [-Wunused-dummy-argument] ddaspk.f:4398:38: 4398 | * DUMSVR,DELTA,E,WM,IWM,CJ,DUMS,DUMR,DUME,EPCON, | 1 Warning: Unused dummy argument ‘dums’ at (1) [-Wunused-dummy-argument] ddaspk.f:4398:15: 4398 | * DUMSVR,DELTA,E,WM,IWM,CJ,DUMS,DUMR,DUME,EPCON, | 1 Warning: Unused dummy argument ‘dumsvr’ at (1) [-Wunused-dummy-argument] ddaspk.f:4399:47: 4399 | * S,CONFAC,TOLNEW,MULDEL,MAXIT,IRES,IDUM,IERNEW) | 1 Warning: Unused dummy argument ‘idum’ at (1) [-Wunused-dummy-argument] ddaspk.f:4397:45: 4397 | SUBROUTINE DNSD(X,Y,YPRIME,NEQ,RES,PDUM,WT,RPAR,IPAR, | 1 Warning: Unused dummy argument ‘pdum’ at (1) [-Wunused-dummy-argument] ddaspk.f:6506:26: 6506 | SUBROUTINE SCALE(NEQ, NIND, SCAL, H) | 1 Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument] ddaspk.f:3381:56: 3381 | SUBROUTINE DDAWTS(NEQ,IWT,RTOL,ATOL,Y,WT,RPAR,IPAR) | 1 Warning: Unused dummy argument ‘ipar’ at (1) [-Wunused-dummy-argument] ddaspk.f:3381:51: 3381 | SUBROUTINE DDAWTS(NEQ,IWT,RTOL,ATOL,Y,WT,RPAR,IPAR) | 1 Warning: Unused dummy argument ‘rpar’ at (1) [-Wunused-dummy-argument] ddaspk.f:2477:27: 2477 | * PWK, WM, IWM, HMIN, UROUND, EPLI, SQRTN, RSQRTN, EPCONI, | 1 Warning: Unused dummy argument ‘hmin’ at (1) [-Wunused-dummy-argument] ddaspk.f:3553:12: 3553 | * DUME,DUMS,DUMR,EPCON,RATEMX,STPTOL,JFDUM, | 1 Warning: Unused dummy argument ‘dume’ at (1) [-Wunused-dummy-argument] ddaspk.f:3552:54: 3552 | * JSDUM,RPAR,IPAR,DUMSVR,DELTA,R,YIC,YPIC,DUMPWK,WM,IWM,CJ,UROUND, | 1 Warning: Unused dummy argument ‘dumpwk’ at (1) [-Wunused-dummy-argument] ddaspk.f:3553:22: 3553 | * DUME,DUMS,DUMR,EPCON,RATEMX,STPTOL,JFDUM, | 1 Warning: Unused dummy argument ‘dumr’ at (1) [-Wunused-dummy-argument] ddaspk.f:3553:17: 3553 | * DUME,DUMS,DUMR,EPCON,RATEMX,STPTOL,JFDUM, | 1 Warning: Unused dummy argument ‘dums’ at (1) [-Wunused-dummy-argument] ddaspk.f:3552:30: 3552 | * JSDUM,RPAR,IPAR,DUMSVR,DELTA,R,YIC,YPIC,DUMPWK,WM,IWM,CJ,UROUND, | 1 Warning: Unused dummy argument ‘dumsvr’ at (1) [-Wunused-dummy-argument] ddaspk.f:3553:48: 3553 | * DUME,DUMS,DUMR,EPCON,RATEMX,STPTOL,JFDUM, | 1 Warning: Unused dummy argument ‘jfdum’ at (1) [-Wunused-dummy-argument] ddaspk.f:3552:13: 3552 | * JSDUM,RPAR,IPAR,DUMSVR,DELTA,R,YIC,YPIC,DUMPWK,WM,IWM,CJ,UROUND, | 1 Warning: Unused dummy argument ‘jsdum’ at (1) [-Wunused-dummy-argument] ddaspk.f:3551:61: 3551 | SUBROUTINE DDASID(X,Y,YPRIME,NEQ,ICOPT,ID,RES,JACD,PDUM,H,WT, | 1 Warning: Unused dummy argument ‘pdum’ at (1) [-Wunused-dummy-argument] ddaspk.f:4126:26: 4126 | * EPCON,JCALC,JFDUM,KP1,NONNEG,NTYPE,IERNLS) | 1 Warning: Unused dummy argument ‘jfdum’ at (1) [-Wunused-dummy-argument] ddaspk.f:4833:67: 4833 | * JSKIP,RPAR,IPAR,SAVR,DELTA,R,YIC,YPIC,PWK,WM,IWM,CJ,UROUND, | 1 Warning: Unused dummy argument ‘uround’ at (1) [-Wunused-dummy-argument] ddaspk.f:5464:40: 5464 | * WM,IWM,CJ,CJOLD,CJLAST,S,UROUND,EPLI,SQRTN,RSQRTN, | 1 Warning: Unused dummy argument ‘uround’ at (1) [-Wunused-dummy-argument] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c deSolve_utils.c -o deSolve_utils.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dintdy2.f -o dintdy2.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dlinpk.f -o dlinpk.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dlsoder.f -o dlsoder.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dsparsk.f -o dsparsk.o dsparsk.f:740:42: 740 | subroutine add_lvst(istart,iend,nlev,riord,ja,ia,mask,maskval) | 1 Warning: Unused dummy argument ‘nlev’ at (1) [-Wunused-dummy-argument] dsparsk.f:416:27: 416 | subroutine getbwd(n,a,ja,ia,ml,mu) | 1 Warning: Unused dummy argument ‘a’ at (1) [-Wunused-dummy-argument] dsparsk.f:507:42: 507 | subroutine rnrms (nrow, nrm, a, ja, ia, diag) | 1 Warning: Unused dummy argument ‘ja’ at (1) [-Wunused-dummy-argument] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c dvode.f -o dvode.o dvode.f:1953:35: 1953 | & F, JAC, PDUM, NFLAG, RPAR, IPAR) | 1 Warning: Unused dummy argument ‘pdum’ at (1) [-Wunused-dummy-argument] dvode.f:1952:42: 1952 | SUBROUTINE DVNLSD (Y, YH, LDYH, VSAV, SAVF, EWT, ACOR, IWM, WM, & | 1 Warning: Unused dummy argument ‘vsav’ at (1) [-Wunused-dummy-argument] dvode.f:1325:72: 1325 | ETA = MIN(ETA,ONE) | ^ Warning: ‘etaq’ may be used uninitialized [-Wmaybe-uninitialized] dvode.f:1197:15: 1197 | & ETAQ, ETAQM1, ETAQP1, FLOTL, ONE, ONEPSM, & | ^ note: ‘etaq’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c errmsg.f -o errmsg.o errmsg.f:31:40: 31 | SUBROUTINE XERRWD (MSG, NMES, NERR, LEVEL, NI, I1, I2, NR, R1, R2) | 1 Warning: Unused dummy argument ‘nerr’ at (1) [-Wunused-dummy-argument] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ex_Aquaphy.c -o ex_Aquaphy.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ex_CCL4model.c -o ex_CCL4model.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ex_ChemicalDAE.c -o ex_ChemicalDAE.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ex_SCOC.c -o ex_SCOC.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c forcings.c -o forcings.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lags.c -o lags.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c opkda1.f -o opkda1.o opkda1.f:528:40: 528 | SUBROUTINE DSOLSY (WM, IWM, X, TEM) | 1 Warning: Unused dummy argument ‘tem’ at (1) [-Wunused-dummy-argument] opkda1.f:1975:40: 1975 | SUBROUTINE DSOLSS (WK, IWK, X, TEM) | 1 Warning: Unused dummy argument ‘tem’ at (1) [-Wunused-dummy-argument] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c opkdmain.f -o opkdmain.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c radau5.f -o radau5.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c radau5a.f -o radau5a.o radau5a.f:528:58: 528 | & M1,M2,NM1,FAC1,E1,LDE1,Z1,F1,IP1,IPHES,IER,IJOB) | 1 Warning: Unused dummy argument ‘ier’ at (1) [-Wunused-dummy-argument] radau5a.f:765:26: 765 | & F2,F3,CONT,IP2,IPHES,IER,IJOB) | 1 Warning: Unused dummy argument ‘cont’ at (1) [-Wunused-dummy-argument] radau5a.f:765:40: 765 | & F2,F3,CONT,IP2,IPHES,IER,IJOB) | 1 Warning: Unused dummy argument ‘ier’ at (1) [-Wunused-dummy-argument] radau5a.f:1072:29: 1072 | & F1,F2,F3,CONT,IP1,IP2,IPHES,IER,IJOB) | 1 Warning: Unused dummy argument ‘cont’ at (1) [-Wunused-dummy-argument] radau5a.f:1072:47: 1072 | & F1,F2,F3,CONT,IP1,IP2,IPHES,IER,IJOB) | 1 Warning: Unused dummy argument ‘ier’ at (1) [-Wunused-dummy-argument] radau5a.f:2465:53: 2465 | SUBROUTINE SLVSEU(N,FJAC,LDJAC,MLJAC,MUJAC,FMAS,LDMAS,MLMAS,MUMAS, | 1 Warning: Unused dummy argument ‘fmas’ at (1) [-Wunused-dummy-argument] radau5a.f:2465:65: 2465 | SUBROUTINE SLVSEU(N,FJAC,LDJAC,MLJAC,MUJAC,FMAS,LDMAS,MLMAS,MUMAS, | 1 Warning: Unused dummy argument ‘mlmas’ at (1) [-Wunused-dummy-argument] radau5a.f:2465:71: 2465 | SUBROUTINE SLVSEU(N,FJAC,LDJAC,MLJAC,MUJAC,FMAS,LDMAS,MLMAS,MUMAS, | 1 Warning: Unused dummy argument ‘mumas’ at (1) [-Wunused-dummy-argument] radau5a.f:1483:8: 1483 | 48 MM=M1/M2 | ^ Warning: ‘mm’ may be used uninitialized [-Wmaybe-uninitialized] radau5a.f:1861:8: 1861 | 48 MM=M1/M2 | ^ Warning: ‘mm’ may be used uninitialized [-Wmaybe-uninitialized] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rk_auto.c -o rk_auto.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rk_fixed.c -o rk_fixed.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rk_implicit.c -o rk_implicit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rk_util.c -o rk_util.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rprintf.c -o rprintf.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c twoDmap.c -o twoDmap.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c zvode.f -o zvode.o zvode.f:2846:35: 2846 | 1 F, JAC, PDUM, NFLAG, RPAR, IPAR) | 1 Warning: Unused dummy argument ‘pdum’ at (1) [-Wunused-dummy-argument] zvode.f:2845:42: 2845 | SUBROUTINE ZVNLSD (Y, YH, LDYH, VSAV, SAVF, EWT, ACOR, IWM, WM, | 1 Warning: Unused dummy argument ‘vsav’ at (1) [-Wunused-dummy-argument] gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o deSolve.so DLLutil.o R_init_deSolve.o brent.o call_daspk.o call_euler.o call_iteration.o call_lsoda.o call_radau.o call_rk4.o call_rkAuto.o call_rkFixed.o call_rkImplicit.o call_zvode.o daux.o ddaspk.o deSolve_utils.o dintdy2.o dlinpk.o dlsoder.o dsparsk.o dvode.o errmsg.o ex_Aquaphy.o ex_CCL4model.o ex_ChemicalDAE.o ex_SCOC.o forcings.o lags.o opkda1.o opkdmain.o radau5.o radau5a.o rk_auto.o rk_fixed.o rk_implicit.o rk_util.o rprintf.o twoDmap.o zvode.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpgymJWn/R.INSTALL3122291f35cd29/deSolve/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-deSolve/00new/deSolve/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘matplot’ in package ‘deSolve’ ** 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 (deSolve) * installing *source* package ‘R.utils’ ... ** this is package ‘R.utils’ version ‘2.13.0’ ** package ‘R.utils’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Warning in setGenericS3.default(name, export = exportGeneric, envir = envir, : Renamed the preexisting function warnings to warnings.default, which was defined in environment R.utils. Warning in setGenericS3.default("use") : Renamed the preexisting function use to use.default, which was defined in environment R.utils. Warning in setMethodS3.default("use", "default", function(pkg = "R.utils", : Method already existed and was overwritten: use.default ** 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.utils) begin installing package ‘R.cache’ * installing *source* package ‘fs’ ... ** this is package ‘fs’ version ‘1.6.6’ ** package ‘fs’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpRtzpJ8/R.INSTALL311ddd6061abdf/fs/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dir.cc -o dir.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c error.cc -o error.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c file.cc -o file.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fs.cc -o fs.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c getmode.cc -o getmode.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c id.cc -o id.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cc -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c link.cc -o link.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c path.cc -o path.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cc -o utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c unix/getmode.cc -o unix/getmode.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bsd/setmode.c -o bsd/setmode.o bsd/setmode.c: In function ‘setmode’: bsd/setmode.c:159:37: warning: pointer ‘saveset’ may be used after ‘reallocarray’ [-Wuse-after-free] 159 | set = newset + (set - saveset); \ | ^ bsd/setmode.c:227:17: note: in expansion of macro ‘ADDCMD’ 227 | ADDCMD('=', (STANDARD_BITS|S_ISTXT), perm, mask); | ^~~~~~ bsd/setmode.c:156:36: note: call to ‘reallocarray’ here 156 | newset = (BITCMD*) reallocarray(saveset, setlen, sizeof(BITCMD)); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bsd/setmode.c:227:17: note: in expansion of macro ‘ADDCMD’ 227 | ADDCMD('=', (STANDARD_BITS|S_ISTXT), perm, mask); | ^~~~~~ bsd/setmode.c:159:37: warning: pointer ‘saveset’ may be used after ‘reallocarray’ [-Wuse-after-free] 159 | set = newset + (set - saveset); \ | ^ bsd/setmode.c:306:41: note: in expansion of macro ‘ADDCMD’ 306 | ADDCMD(op, who, perm, mask); | ^~~~~~ bsd/setmode.c:156:36: note: call to ‘reallocarray’ here 156 | newset = (BITCMD*) reallocarray(saveset, setlen, sizeof(BITCMD)); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bsd/setmode.c:306:41: note: in expansion of macro ‘ADDCMD’ 306 | ADDCMD(op, who, perm, mask); | ^~~~~~ bsd/setmode.c:159:37: warning: pointer ‘saveset’ may be used after ‘reallocarray’ [-Wuse-after-free] 159 | set = newset + (set - saveset); \ | ^ bsd/setmode.c:312:41: note: in expansion of macro ‘ADDCMD’ 312 | ADDCMD('X', who, permXbits, mask); | ^~~~~~ bsd/setmode.c:156:36: note: call to ‘reallocarray’ here 156 | newset = (BITCMD*) reallocarray(saveset, setlen, sizeof(BITCMD)); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bsd/setmode.c:312:41: note: in expansion of macro ‘ADDCMD’ 312 | ADDCMD('X', who, permXbits, mask); | ^~~~~~ bsd/setmode.c:159:37: warning: pointer ‘saveset’ may be used after ‘reallocarray’ [-Wuse-after-free] 159 | set = newset + (set - saveset); \ | ^ bsd/setmode.c:315:33: note: in expansion of macro ‘ADDCMD’ 315 | ADDCMD(*p, who, op, mask); | ^~~~~~ bsd/setmode.c:156:36: note: call to ‘reallocarray’ here 156 | newset = (BITCMD*) reallocarray(saveset, setlen, sizeof(BITCMD)); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bsd/setmode.c:315:33: note: in expansion of macro ‘ADDCMD’ 315 | ADDCMD(*p, who, op, mask); | ^~~~~~ bsd/setmode.c:159:37: warning: pointer ‘saveset’ may be used after ‘reallocarray’ [-Wuse-after-free] 159 | set = newset + (set - saveset); \ | ^ bsd/setmode.c:326:41: note: in expansion of macro ‘ADDCMD’ 326 | ADDCMD(op, who, perm, mask); | ^~~~~~ bsd/setmode.c:156:36: note: call to ‘reallocarray’ here 156 | newset = (BITCMD*) reallocarray(saveset, setlen, sizeof(BITCMD)); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bsd/setmode.c:326:41: note: in expansion of macro ‘ADDCMD’ 326 | ADDCMD(op, who, perm, mask); | ^~~~~~ bsd/setmode.c:159:37: warning: pointer ‘saveset’ may be used after ‘reallocarray’ [-Wuse-after-free] 159 | set = newset + (set - saveset); \ | ^ bsd/setmode.c:330:41: note: in expansion of macro ‘ADDCMD’ 330 | ADDCMD('X', who, permXbits, mask); | ^~~~~~ bsd/setmode.c:156:36: note: call to ‘reallocarray’ here 156 | newset = (BITCMD*) reallocarray(saveset, setlen, sizeof(BITCMD)); \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bsd/setmode.c:330:41: note: in expansion of macro ‘ADDCMD’ 330 | ADDCMD('X', who, permXbits, mask); | ^~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bsd/strmode.c -o bsd/strmode.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libuv-1.44.2/include -I. -pthread -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bsd/reallocarray.c -o bsd/reallocarray.o touch libuv-1.44.2/aclocal.m4 && touch libuv-1.44.2/configure && touch libuv-1.44.2/Makefile.in (cd libuv-1.44.2 \ && CC="gcc-14 -std=gnu23" CPPFLAGS="-I/usr/local/include" CFLAGS="-g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -fpic -fvisibility=hidden -std=c99" AR="ar" RANLIB="ranlib" LDFLAGS="-Wl,-O1" ./configure --quiet) make --directory=libuv-1.44.2 \ HAVE_DTRACE=0 make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpRtzpJ8/R.INSTALL311ddd6061abdf/fs/src/libuv-1.44.2' CC src/libuv_la-fs-poll.lo CC src/libuv_la-idna.lo CC src/libuv_la-inet.lo CC src/libuv_la-random.lo CC src/libuv_la-strscpy.lo CC src/libuv_la-threadpool.lo CC src/libuv_la-timer.lo CC src/libuv_la-uv-data-getter-setters.lo CC src/libuv_la-uv-common.lo In file included from src/uv-common.h:42, from src/uv-common.c:23: src/uv-common.c: In function 'uv_walk': src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_13(D) + 16B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/uv-common.c:507:3: note: in expansion of macro 'QUEUE_MOVE' 507 | QUEUE_MOVE(&loop->handle_queue, &queue); | ^~~~~~~~~~ src/uv-common.c:503:9: note: 'queue' declared here 503 | QUEUE queue; | ^~~~~ src/uv-common.c:502:25: note: 'loop' declared here 502 | void uv_walk(uv_loop_t* loop, uv_walk_cb walk_cb, void* arg) { | ~~~~~~~~~~~^~~~ CC src/libuv_la-version.lo CC src/libuv_la-strtok.lo CC src/unix/libuv_la-async.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/async.c:26: src/unix/async.c: In function 'uv__async_io': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_20(D) + 432B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/async.c:149:3: note: in expansion of macro 'QUEUE_MOVE' 149 | QUEUE_MOVE(&loop->async_handles, &queue); | ^~~~~~~~~~ src/unix/async.c:125:9: note: 'queue' declared here 125 | QUEUE queue; | ^~~~~ src/unix/async.c:122:37: note: 'loop' declared here 122 | static void uv__async_io(uv_loop_t* loop, uv__io_t* w, unsigned int events) { | ~~~~~~~~~~~^~~~ CC src/unix/libuv_la-core.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/core.c:22: src/unix/core.c: In function 'uv__run_pending': ./src/queue.h:68:19: warning: storing the address of local variable 'pq' in '((void * (**)[2])MEM[(void *[2] * *)loop_11(D) + 72B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/core.c:803:3: note: in expansion of macro 'QUEUE_MOVE' 803 | QUEUE_MOVE(&loop->pending_queue, &pq); | ^~~~~~~~~~ src/unix/core.c:800:9: note: 'pq' declared here 800 | QUEUE pq; | ^~ src/unix/core.c:798:40: note: 'loop' declared here 798 | static void uv__run_pending(uv_loop_t* loop) { | ~~~~~~~~~~~^~~~ CC src/unix/libuv_la-dl.lo CC src/unix/libuv_la-fs.lo src/unix/fs.c: In function 'uv__mkostemp_initonce': src/unix/fs.c:299:18: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 299 | uv__mkostemp = (int (*)(char*, int)) dlsym(RTLD_DEFAULT, "mkostemp"); | ^ CC src/unix/libuv_la-getaddrinfo.lo CC src/unix/libuv_la-getnameinfo.lo CC src/unix/libuv_la-loop-watcher.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/loop-watcher.c:23: src/unix/loop-watcher.c: In function 'uv__run_prepare': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_12(D) + 384B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/loop-watcher.c:52:5: note: in expansion of macro 'QUEUE_MOVE' 52 | QUEUE_MOVE(&loop->name##_handles, &queue); \ | ^~~~~~~~~~ src/unix/loop-watcher.c:66:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 66 | UV_LOOP_WATCHER_DEFINE(prepare, PREPARE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:50:11: note: 'queue' declared here 50 | QUEUE queue; \ | ^~~~~ src/unix/loop-watcher.c:66:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 66 | UV_LOOP_WATCHER_DEFINE(prepare, PREPARE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:48:34: note: 'loop' declared here 48 | void uv__run_##name(uv_loop_t* loop) { \ | ~~~~~~~~~~~^~~~ src/unix/loop-watcher.c:66:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 66 | UV_LOOP_WATCHER_DEFINE(prepare, PREPARE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c: In function 'uv__run_check': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_12(D) + 400B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/loop-watcher.c:52:5: note: in expansion of macro 'QUEUE_MOVE' 52 | QUEUE_MOVE(&loop->name##_handles, &queue); \ | ^~~~~~~~~~ src/unix/loop-watcher.c:67:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 67 | UV_LOOP_WATCHER_DEFINE(check, CHECK) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:50:11: note: 'queue' declared here 50 | QUEUE queue; \ | ^~~~~ src/unix/loop-watcher.c:67:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 67 | UV_LOOP_WATCHER_DEFINE(check, CHECK) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:48:34: note: 'loop' declared here 48 | void uv__run_##name(uv_loop_t* loop) { \ | ~~~~~~~~~~~^~~~ src/unix/loop-watcher.c:67:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 67 | UV_LOOP_WATCHER_DEFINE(check, CHECK) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c: In function 'uv__run_idle': ./src/queue.h:68:19: warning: storing the address of local variable 'queue' in '((void * (**)[2])MEM[(void *[2] * *)loop_12(D) + 416B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/loop-watcher.c:52:5: note: in expansion of macro 'QUEUE_MOVE' 52 | QUEUE_MOVE(&loop->name##_handles, &queue); \ | ^~~~~~~~~~ src/unix/loop-watcher.c:68:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 68 | UV_LOOP_WATCHER_DEFINE(idle, IDLE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:50:11: note: 'queue' declared here 50 | QUEUE queue; \ | ^~~~~ src/unix/loop-watcher.c:68:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 68 | UV_LOOP_WATCHER_DEFINE(idle, IDLE) | ^~~~~~~~~~~~~~~~~~~~~~ src/unix/loop-watcher.c:48:34: note: 'loop' declared here 48 | void uv__run_##name(uv_loop_t* loop) { \ | ~~~~~~~~~~~^~~~ src/unix/loop-watcher.c:68:1: note: in expansion of macro 'UV_LOOP_WATCHER_DEFINE' 68 | UV_LOOP_WATCHER_DEFINE(idle, IDLE) | ^~~~~~~~~~~~~~~~~~~~~~ CC src/unix/libuv_la-loop.lo CC src/unix/libuv_la-pipe.lo CC src/unix/libuv_la-poll.lo CC src/unix/libuv_la-process.lo CC src/unix/libuv_la-random-devurandom.lo CC src/unix/libuv_la-signal.lo CC src/unix/libuv_la-stream.lo In file included from ./src/uv-common.h:42, from src/unix/internal.h:25, from src/unix/stream.c:23: src/unix/stream.c: In function 'uv__write_callbacks': ./src/queue.h:68:19: warning: storing the address of local variable 'pq' in '((void * (**)[2])MEM[(void *[2] * *)stream_23(D) + 208B])[1]' [-Wdangling-pointer=] 68 | QUEUE_PREV(q) = (n); \ | ^ ./src/queue.h:78:7: note: in expansion of macro 'QUEUE_SPLIT' 78 | QUEUE_SPLIT(h, q, n); \ | ^~~~~~~~~~~ src/unix/stream.c:941:3: note: in expansion of macro 'QUEUE_MOVE' 941 | QUEUE_MOVE(&stream->write_completed_queue, &pq); | ^~~~~~~~~~ src/unix/stream.c:936:9: note: 'pq' declared here 936 | QUEUE pq; | ^~ src/unix/stream.c:933:46: note: 'stream' declared here 933 | static void uv__write_callbacks(uv_stream_t* stream) { | ~~~~~~~~~~~~~^~~~~~ CC src/unix/libuv_la-tcp.lo CC src/unix/libuv_la-thread.lo CC src/unix/libuv_la-tty.lo CC src/unix/libuv_la-udp.lo CC src/unix/libuv_la-linux-core.lo CC src/unix/libuv_la-linux-inotify.lo CC src/unix/libuv_la-linux-syscalls.lo CC src/unix/libuv_la-procfs-exepath.lo CC src/unix/libuv_la-proctitle.lo CC src/unix/libuv_la-random-getrandom.lo CC src/unix/libuv_la-random-sysctl-linux.lo CC src/unix/libuv_la-epoll.lo CCLD libuv.la make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpRtzpJ8/R.INSTALL311ddd6061abdf/fs/src/libuv-1.44.2' g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o fs.so dir.o error.o file.o fs.o getmode.o id.o init.o link.o path.o utils.o unix/getmode.o bsd/setmode.o bsd/strmode.o bsd/reallocarray.o ./libuv-1.44.2/.libs/libuv.pa -pthread -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpRtzpJ8/R.INSTALL311ddd6061abdf/fs/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-fs/00new/fs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (fs) begin installing package ‘sass’ begin installing package ‘pkgload’ * installing *source* package ‘R.cache’ ... ** this is package ‘R.cache’ version ‘0.17.0’ ** package ‘R.cache’ 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 (R.cache) begin installing package ‘R.rsp’ * installing *source* package ‘Rcpp’ ... ** this is package ‘Rcpp’ version ‘1.0.14’ ** package ‘Rcpp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpyUqUnL/R.INSTALL312b935d9e8d6e/Rcpp/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c api.cpp -o api.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c attributes.cpp -o attributes.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c barrier.cpp -o barrier.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c date.cpp -o date.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c module.cpp -o module.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include/ -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcpp_init.cpp -o rcpp_init.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o Rcpp.so api.o attributes.o barrier.o date.o module.o rcpp_init.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpyUqUnL/R.INSTALL312b935d9e8d6e/Rcpp/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-Rcpp/00new/Rcpp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rcpp) begin installing package ‘fastGHQuad’ begin installing package ‘RcppEigen’ begin installing package ‘plyr’ begin installing package ‘RcppArmadillo’ * installing *source* package ‘scales’ ... ** this is package ‘scales’ version ‘1.4.0’ ** package ‘scales’ 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 (scales) * installing *source* package ‘pkgload’ ... ** this is package ‘pkgload’ version ‘1.4.0’ ** package ‘pkgload’ 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 (pkgload) begin installing package ‘testthat’ * installing *source* package ‘coin’ ... ** this is package ‘coin’ version ‘1.4-3’ ** package ‘coin’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpmBXKNc/R.INSTALL314ca9a2c3ebe/coin/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/libcoin/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Helpers.c -o Helpers.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/libcoin/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c StreitbergRoehmel.c -o StreitbergRoehmel.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/libcoin/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c coin-init.c -o coin-init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/libcoin/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vandeWiel.c -o vandeWiel.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o coin.so Helpers.o StreitbergRoehmel.o coin-init.o vandeWiel.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpmBXKNc/R.INSTALL314ca9a2c3ebe/coin/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-coin/00new/coin/libs ** R ** data *** moving datasets to lazyload DB ** 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 (coin) begin installing package ‘party’ * installing *source* package ‘data.table’ ... ** this is package ‘data.table’ version ‘1.17.2’ ** package ‘data.table’ successfully unpacked and MD5 sums checked ** using staged installation gcc-14 -std=gnu23 14.2.0 zlib 1.3.1 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp5jT4r5/R.INSTALL312aee11fb850b/data.table/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c assign.c -o assign.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c between.c -o between.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bmerge.c -o bmerge.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c chmatch.c -o chmatch.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cj.c -o cj.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c coalesce.c -o coalesce.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dogroups.c -o dogroups.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fastmean.c -o fastmean.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fcast.c -o fcast.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fifelse.c -o fifelse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fmelt.c -o fmelt.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c forder.c -o forder.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c frank.c -o frank.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fread.c -o fread.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c freadR.c -o freadR.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c froll.c -o froll.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c frollR.c -o frollR.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c frolladaptive.c -o frolladaptive.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fsort.c -o fsort.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fwrite.c -o fwrite.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fwriteR.c -o fwriteR.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gsumm.c -o gsumm.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c idatetime.c -o idatetime.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ijoin.c -o ijoin.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c inrange.c -o inrange.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nafill.c -o nafill.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c negate.c -o negate.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nqrecreateindices.c -o nqrecreateindices.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c openmp-utils.c -o openmp-utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c programming.c -o programming.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c quickselect.c -o quickselect.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rbindlist.c -o rbindlist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c reorder.c -o reorder.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c shift.c -o shift.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c snprintf.c -o snprintf.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c subset.c -o subset.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c transpose.c -o transpose.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c types.c -o types.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c uniqlist.c -o uniqlist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vecseq.c -o vecseq.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c wrappers.c -o wrappers.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -lz -L/home/hornik/tmp/R-d-gcc-valg/lib -lR PKG_CFLAGS = -fopenmp PKG_LIBS = -fopenmp -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp5jT4r5/R.INSTALL312aee11fb850b/data.table/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) begin installing package ‘mstate’ begin installing package ‘origami’ begin installing package ‘cvAUC’ * installing *source* package ‘cvAUC’ ... ** this is package ‘cvAUC’ version ‘1.1.4’ ** package ‘cvAUC’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cvAUC) begin installing package ‘SuperLearner’ * installing *source* package ‘origami’ ... ** this is package ‘origami’ version ‘1.0.7’ ** package ‘origami’ 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 (origami) * installing *source* package ‘fastGHQuad’ ... ** this is package ‘fastGHQuad’ version ‘1.0.1’ ** package ‘fastGHQuad’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpY3lRFT/R.INSTALL31528c7066abe3/fastGHQuad/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lib.cpp -o lib.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o fastGHQuad.so init.o lib.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpY3lRFT/R.INSTALL31528c7066abe3/fastGHQuad/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-fastGHQuad/00new/fastGHQuad/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 (fastGHQuad) * installing *source* package ‘R.rsp’ ... ** this is package ‘R.rsp’ version ‘0.46.0’ ** package ‘R.rsp’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** exec ** 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 (R.rsp) * installing *source* package ‘plyr’ ... ** this is package ‘plyr’ version ‘1.8.9’ ** package ‘plyr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNtGnNA/R.INSTALL31529019c230a0/plyr/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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 gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c loop_apply.c -o loop_apply.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c split-numeric.cpp -o split-numeric.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o plyr.so RcppExports.o loop_apply.o split-numeric.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNtGnNA/R.INSTALL31529019c230a0/plyr/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-plyr/00new/plyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (plyr) begin installing package ‘pROC’ * installing *source* package ‘SuperLearner’ ... ** this is package ‘SuperLearner’ version ‘2.0-29’ ** package ‘SuperLearner’ 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 (SuperLearner) * installing *source* package ‘vctrs’ ... ** this is package ‘vctrs’ version ‘0.6.5’ ** package ‘vctrs’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpjbbzzN/R.INSTALL3147773494df36/vctrs/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c altrep-lazy-character.c -o altrep-lazy-character.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c altrep-rle.c -o altrep-rle.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c altrep.c -o altrep.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c arg-counter.c -o arg-counter.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c arg.c -o arg.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c assert.c -o assert.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bind.c -o bind.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c c-unchop.c -o c-unchop.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c c.c -o c.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c callables.c -o callables.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cast-bare.c -o cast-bare.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cast-dispatch.c -o cast-dispatch.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cast.c -o cast.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c compare.c -o compare.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c complete.c -o complete.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c conditions.c -o conditions.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dictionary.c -o dictionary.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dim.c -o dim.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c empty.c -o empty.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c equal.c -o equal.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c expand.c -o expand.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fields.c -o fields.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c fill.c -o fill.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c globals.c -o globals.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c group.c -o group.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c growable.c -o growable.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c hash.c -o hash.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c interval.c -o interval.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c match-joint.c -o match-joint.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c match.c -o match.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c missing.c -o missing.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c names.c -o names.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c order-collate.c -o order-collate.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c order-groups.c -o order-groups.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c order-sortedness.c -o order-sortedness.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c order-truelength.c -o order-truelength.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c order.c -o order.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c poly-op.c -o poly-op.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c proxy-restore.c -o proxy-restore.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c proxy.c -o proxy.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ptype-common.c -o ptype-common.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ptype.c -o ptype.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ptype2-dispatch.c -o ptype2-dispatch.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ptype2.c -o ptype2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rank.c -o rank.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rep.c -o rep.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rlang-dev.c -o rlang-dev.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rlang.c -o rlang.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c runs.c -o runs.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c set.c -o set.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c shape.c -o shape.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c size-common.c -o size-common.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c size.c -o size.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c slice-array.c -o slice-array.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c slice-assign-array.c -o slice-assign-array.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c slice-assign.c -o slice-assign.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c slice-chop.c -o slice-chop.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c slice-interleave.c -o slice-interleave.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c slice.c -o slice.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c split.c -o split.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c subscript-loc.c -o subscript-loc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c subscript.c -o subscript.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c translate.c -o translate.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c type-data-frame.c -o type-data-frame.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c type-date-time.c -o type-date-time.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c type-factor.c -o type-factor.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c type-info.c -o type-info.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c type-integer64.c -o type-integer64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c type-tibble.c -o type-tibble.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c typeof2-s3.c -o typeof2-s3.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c typeof2.c -o typeof2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c unspecified.c -o unspecified.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils-dispatch.c -o utils-dispatch.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vctrs-core.c -o vctrs-core.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./rlang -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c version.c -o version.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o vctrs.so altrep-lazy-character.o altrep-rle.o altrep.o arg-counter.o arg.o assert.o bind.o c-unchop.o c.o callables.o cast-bare.o cast-dispatch.o cast.o compare.o complete.o conditions.o dictionary.o dim.o empty.o equal.o expand.o fields.o fill.o globals.o group.o growable.o hash.o init.o interval.o match-joint.o match.o missing.o names.o order-collate.o order-groups.o order-sortedness.o order-truelength.o order.o poly-op.o proxy-restore.o proxy.o ptype-common.o ptype.o ptype2-dispatch.o ptype2.o rank.o rep.o rlang-dev.o rlang.o runs.o set.o shape.o size-common.o size.o slice-array.o slice-assign-array.o slice-assign.o slice-chop.o slice-interleave.o slice.o split.o subscript-loc.o subscript.o translate.o type-data-frame.o type-date-time.o type-factor.o type-info.o type-integer64.o type-tibble.o typeof2-s3.o typeof2.o unspecified.o utils-dispatch.o utils.o vctrs-core.o version.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpjbbzzN/R.INSTALL3147773494df36/vctrs/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-vctrs/00new/vctrs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vctrs) begin installing package ‘hms’ begin installing package ‘pillar’ begin installing package ‘igraph’ begin installing package ‘purrr’ begin installing package ‘tidyselect’ * installing *source* package ‘party’ ... ** this is package ‘party’ version ‘1.3-18’ ** package ‘party’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpDwigY7/R.INSTALL3154fb601191af/party/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Classes.c -o Classes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Convenience.c -o Convenience.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Distributions.c -o Distributions.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c IndependenceTest.c -o IndependenceTest.o IndependenceTest.c: In function ‘C_GlobalTest’: IndependenceTest.c:265:21: warning: ‘thisweights’ may be used uninitialized [-Wmaybe-uninitialized] 265 | C_LinStatExpCov(REAL(x), ncol(x), REAL(y), ncol(y), | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 266 | thisweights, nrow(x), RECALC, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 267 | PROTECT(GET_SLOT(xmem, PL2_expcovinfSym)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 268 | xmem); | ~~~~~ IndependenceTest.c:141:13: note: ‘thisweights’ was declared here 141 | double *thisweights, *pvaltmp, stweights = 0.0; | ^~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c LinearStatistic.c -o LinearStatistic.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Memory.c -o Memory.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Node.c -o Node.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Predict.c -o Predict.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c RandomForest.c -o RandomForest.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c S3Classes.c -o S3Classes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Splits.c -o Splits.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c SurrogateSplits.c -o SurrogateSplits.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c TestStatistic.c -o TestStatistic.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c TreeGrow.c -o TreeGrow.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Utils.c -o Utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o party.so Classes.o Convenience.o Distributions.o IndependenceTest.o LinearStatistic.o Memory.o Node.o Predict.o RandomForest.o S3Classes.o Splits.o SurrogateSplits.o TestStatistic.o TreeGrow.o Utils.o init.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpDwigY7/R.INSTALL3154fb601191af/party/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-party/00new/party/libs ** R ** data *** moving datasets to lazyload DB ** 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 (party) * installing *source* package ‘mstate’ ... ** this is package ‘mstate’ version ‘0.3.3’ ** package ‘mstate’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp0bRoOm/R.INSTALL31569da43b7e6/mstate/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c agmssurv.c -o agmssurv.o agmssurv.c: In function ‘agmssurv’: agmssurv.c:63:20: warning: variable ‘H’ set but not used [-Wunused-but-set-variable] 63 | int n, p, var, H, K, nt, method; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mstate_init.c -o mstate_init.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o mstate.so agmssurv.o mstate_init.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp0bRoOm/R.INSTALL31569da43b7e6/mstate/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-mstate/00new/mstate/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 (mstate) * installing *source* package ‘hms’ ... ** this is package ‘hms’ version ‘1.1.3’ ** package ‘hms’ 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 (hms) begin installing package ‘progress’ * installing *source* package ‘tidyselect’ ... ** this is package ‘tidyselect’ version ‘1.2.1’ ** package ‘tidyselect’ 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 (tidyselect) * installing *source* package ‘lava’ ... ** this is package ‘lava’ version ‘1.8.1’ ** package ‘lava’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lava) begin installing package ‘timereg’ * installing *source* package ‘progress’ ... ** this is package ‘progress’ version ‘1.2.3’ ** package ‘progress’ 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 (progress) * installing *source* package ‘pillar’ ... ** this is package ‘pillar’ version ‘1.10.2’ ** package ‘pillar’ 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 (pillar) begin installing package ‘tibble’ * installing *source* package ‘purrr’ ... ** this is package ‘purrr’ version ‘1.0.4’ ** package ‘purrr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpvtK7D7/R.INSTALL31590256bc0e29/purrr/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c backports.c -o backports.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cleancall.c -o cleancall.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c coerce.c -o coerce.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c conditions.c -o conditions.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c flatten.c -o flatten.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c map.c -o map.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pluck.c -o pluck.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c transpose.c -o transpose.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cli/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o purrr.so backports.o cleancall.o coerce.o conditions.o flatten.o init.o map.o pluck.o transpose.o utils.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpvtK7D7/R.INSTALL31590256bc0e29/purrr/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-purrr/00new/purrr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (purrr) * installing *source* package ‘RcppArmadillo’ ... ** this is package ‘RcppArmadillo’ version ‘14.4.2-1’ ** package ‘RcppArmadillo’ successfully unpacked and MD5 sums checked ** using staged installation 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 the compiler supports GNU C++... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking for g++-14 -std=gnu++17 option to enable C++11 features... none needed checking how to run the C++ preprocessor... g++-14 -std=gnu++17 -E checking whether the compiler supports GNU C++... (cached) yes checking whether g++-14 -std=gnu++17 accepts -g... (cached) yes checking for g++-14 -std=gnu++17 option to enable C++11 features... (cached) none needed checking whether we have a suitable tempdir... /home/hornik/tmp/scratch checking whether R CMD SHLIB can already compile programs using OpenMP... yes checking LAPACK_LIBS... system LAPACK found configure: creating ./config.status config.status: creating inst/include/RcppArmadillo/config/RcppArmadilloConfigGenerated.h config.status: creating src/Makevars ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpGd1YOb/R.INSTALL31528e2906456d/RcppArmadillo/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppArmadillo.cpp -o RcppArmadillo.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -pedantic -mtune=native -c fastLm.cpp -o fastLm.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o RcppArmadillo.so RcppArmadillo.o RcppExports.o fastLm.o -fopenmp -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpGd1YOb/R.INSTALL31528e2906456d/RcppArmadillo/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-RcppArmadillo/00new/RcppArmadillo/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppArmadillo) begin installing package ‘rstpm2’ begin installing package ‘penalized’ * installing *source* package ‘tibble’ ... ** this is package ‘tibble’ version ‘3.2.1’ ** package ‘tibble’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmphrrF2f/R.INSTALL315d1d7d05c7a/tibble/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c attributes.c -o attributes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c coerce.c -o coerce.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrixToDataFrame.c -o matrixToDataFrame.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o tibble.so attributes.o coerce.o init.o matrixToDataFrame.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmphrrF2f/R.INSTALL315d1d7d05c7a/tibble/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-tibble/00new/tibble/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tibble) begin installing package ‘vroom’ begin installing package ‘dplyr’ begin installing package ‘ggplot2’ * installing *source* package ‘pROC’ ... ** this is package ‘pROC’ version ‘1.18.5’ ** package ‘pROC’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpb3vQYL/R.INSTALL31582342cbd442/pROC/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppVersion.cpp -o RcppVersion.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c delong.cpp -o delong.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c perfsAll.cpp -o perfsAll.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o pROC.so RcppExports.o RcppVersion.o delong.o perfsAll.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpb3vQYL/R.INSTALL31582342cbd442/pROC/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-pROC/00new/pROC/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (pROC) * installing *source* package ‘testthat’ ... ** this is package ‘testthat’ version ‘3.2.3’ ** package ‘testthat’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpnAcjkS/R.INSTALL3154a22d11535a/testthat/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c reassign.c -o reassign.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-catch.cpp -o test-catch.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-example.cpp -o test-example.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-runner.cpp -o test-runner.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o testthat.so init.o reassign.o test-catch.o test-example.o test-runner.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpnAcjkS/R.INSTALL3154a22d11535a/testthat/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-testthat/00new/testthat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (testthat) * installing *source* package ‘dplyr’ ... ** this is package ‘dplyr’ version ‘1.1.4’ ** package ‘dplyr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpiZKm7A/R.INSTALL315e3b5d43a96d/dplyr/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c chop.cpp -o chop.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c filter.cpp -o filter.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c funs.cpp -o funs.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c group_by.cpp -o group_by.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c group_data.cpp -o group_data.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c imports.cpp -o imports.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mask.cpp -o mask.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mutate.cpp -o mutate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c reconstruct.cpp -o reconstruct.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c slice.cpp -o slice.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c summarise.cpp -o summarise.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o dplyr.so chop.o filter.o funs.o group_by.o group_data.o imports.o init.o mask.o mutate.o reconstruct.o slice.o summarise.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpiZKm7A/R.INSTALL315e3b5d43a96d/dplyr/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-dplyr/00new/dplyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dplyr) * installing *source* package ‘VGAM’ ... ** this is package ‘VGAM’ version ‘1.1-13’ ** package ‘VGAM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpwocWmf/R.INSTALL3120f99b401c1/VGAM/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c VGAM_init.c -o VGAM_init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c caqo3.c -o caqo3.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c ei.f -o ei.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c fgam.f -o fgam.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c gautr.c -o gautr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c lerchphi.c -o lerchphi.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c lms.f -o lms.o lms.f:157:5: 157 | 23031 continue | 1 Warning: Label 23031 at (1) defined but not used [-Wunused-label] lms.f:148:5: 148 | 23027 continue | 1 Warning: Label 23027 at (1) defined but not used [-Wunused-label] lms.f:139:5: 139 | 23023 continue | 1 Warning: Label 23023 at (1) defined but not used [-Wunused-label] lms.f:189:5: 189 | 23039 continue | 1 Warning: Label 23039 at (1) defined but not used [-Wunused-label] lms.f:198:5: 198 | 23037 continue | 1 Warning: Label 23037 at (1) defined but not used [-Wunused-label] lms.f:201:5: 201 | 23035 continue | 1 Warning: Label 23035 at (1) defined but not used [-Wunused-label] lms.f:203:5: 203 | 23033 continue | 1 Warning: Label 23033 at (1) defined but not used [-Wunused-label] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c muxr3.c -o muxr3.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rgam.f -o rgam.o rgam.f:185:5: 185 | 23014 continue | 1 Warning: Label 23014 at (1) defined but not used [-Wunused-label] rgam.f:65:5: 65 | 23010 continue | 1 Warning: Label 23010 at (1) defined but not used [-Wunused-label] rgam.f:61:5: 61 | 23008 continue | 1 Warning: Label 23008 at (1) defined but not used [-Wunused-label] rgam.f:49:5: 49 | 23001 ayfnwr1v = ayfnwr1v+1 | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] rgam.f:300:5: 300 | 23080 continue | 1 Warning: Label 23080 at (1) defined but not used [-Wunused-label] rgam.f:290:5: 290 | 23074 continue | 1 Warning: Label 23074 at (1) defined but not used [-Wunused-label] rgam.f:274:5: 274 | 23066 continue | 1 Warning: Label 23066 at (1) defined but not used [-Wunused-label] rgam.f:252:5: 252 | 23056 continue | 1 Warning: Label 23056 at (1) defined but not used [-Wunused-label] rgam.f:224:5: 224 | 23052 continue | 1 Warning: Label 23052 at (1) defined but not used [-Wunused-label] rgam.f:219:5: 219 | 23050 continue | 1 Warning: Label 23050 at (1) defined but not used [-Wunused-label] rgam.f:306:5: 306 | 23048 continue | 1 Warning: Label 23048 at (1) defined but not used [-Wunused-label] rgam.f:211:5: 211 | 23046 continue | 1 Warning: Label 23046 at (1) defined but not used [-Wunused-label] rgam.f:607:5: 607 | 23138 continue | 1 Warning: Label 23138 at (1) defined but not used [-Wunused-label] rgam.f:554:5: 554 | 23136 continue | 1 Warning: Label 23136 at (1) defined but not used [-Wunused-label] rgam.f:530:5: 530 | 23134 continue | 1 Warning: Label 23134 at (1) defined but not used [-Wunused-label] rgam.f:523:5: 523 | 23132 continue | 1 Warning: Label 23132 at (1) defined but not used [-Wunused-label] rgam.f:511:5: 511 | 23128 continue | 1 Warning: Label 23128 at (1) defined but not used [-Wunused-label] rgam.f:501:5: 501 | 23120 continue | 1 Warning: Label 23120 at (1) defined but not used [-Wunused-label] rgam.f:470:5: 470 | 23116 continue | 1 Warning: Label 23116 at (1) defined but not used [-Wunused-label] rgam.f:459:5: 459 | 23112 continue | 1 Warning: Label 23112 at (1) defined but not used [-Wunused-label] rgam.f:454:5: 454 | 23110 continue | 1 Warning: Label 23110 at (1) defined but not used [-Wunused-label] rgam.f:449:5: 449 | 23108 continue | 1 Warning: Label 23108 at (1) defined but not used [-Wunused-label] rgam.f:444:5: 444 | 23106 continue | 1 Warning: Label 23106 at (1) defined but not used [-Wunused-label] rgam.f:439:5: 439 | 23104 continue | 1 Warning: Label 23104 at (1) defined but not used [-Wunused-label] rgam.f:402:5: 402 | 23101 gp1jxzuh = gp1jxzuh-1 | 1 Warning: Label 23101 at (1) defined but not used [-Wunused-label] rgam.f:406:5: 406 | 23099 continue | 1 Warning: Label 23099 at (1) defined but not used [-Wunused-label] rgam.f:386:5: 386 | 23096 gp1jxzuh = gp1jxzuh+1 | 1 Warning: Label 23096 at (1) defined but not used [-Wunused-label] rgam.f:390:5: 390 | 23094 continue | 1 Warning: Label 23094 at (1) defined but not used [-Wunused-label] rgam.f:375:5: 375 | 23082 continue | 1 Warning: Label 23082 at (1) defined but not used [-Wunused-label] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rgam3.c -o rgam3.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c specfun3.c -o specfun3.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c tyeepolygamma.f -o tyeepolygamma.o tyeepolygamma.f:112:5: 112 | 23017 continue | 1 Warning: Label 23017 at (1) defined but not used [-Wunused-label] tyeepolygamma.f:127:5: 127 | 23021 continue | 1 Warning: Label 23021 at (1) defined but not used [-Wunused-label] tyeepolygamma.f:146:5: 146 | 23025 continue | 1 Warning: Label 23025 at (1) defined but not used [-Wunused-label] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c tyeepolygamma3.c -o tyeepolygamma3.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c vdigami.f -o vdigami.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c veigen.f -o veigen.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c vgam.f -o vgam.o vgam.f:16:5: 16 | 23003 continue | 1 Warning: Label 23003 at (1) defined but not used [-Wunused-label] vgam.f:18:5: 18 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] vgam.f:59:5: 59 | 23019 continue | 1 Warning: Label 23019 at (1) defined but not used [-Wunused-label] vgam.f:61:5: 61 | 23017 continue | 1 Warning: Label 23017 at (1) defined but not used [-Wunused-label] vgam.f:50:5: 50 | 23015 continue | 1 Warning: Label 23015 at (1) defined but not used [-Wunused-label] vgam.f:52:5: 52 | 23013 continue | 1 Warning: Label 23013 at (1) defined but not used [-Wunused-label] vgam.f:41:5: 41 | 23011 continue | 1 Warning: Label 23011 at (1) defined but not used [-Wunused-label] vgam.f:43:5: 43 | 23009 continue | 1 Warning: Label 23009 at (1) defined but not used [-Wunused-label] vgam.f:32:5: 32 | 23007 continue | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] vgam.f:34:5: 34 | 23005 continue | 1 Warning: Label 23005 at (1) defined but not used [-Wunused-label] vgam.f:93:5: 93 | 23021 continue | 1 Warning: Label 23021 at (1) defined but not used [-Wunused-label] vgam.f:285:5: 285 | 23083 continue | 1 Warning: Label 23083 at (1) defined but not used [-Wunused-label] vgam.f:287:5: 287 | 23081 continue | 1 Warning: Label 23081 at (1) defined but not used [-Wunused-label] vgam.f:266:5: 266 | 23077 continue | 1 Warning: Label 23077 at (1) defined but not used [-Wunused-label] vgam.f:256:5: 256 | 23075 continue | 1 Warning: Label 23075 at (1) defined but not used [-Wunused-label] vgam.f:244:5: 244 | 23073 continue | 1 Warning: Label 23073 at (1) defined but not used [-Wunused-label] vgam.f:230:5: 230 | 23071 continue | 1 Warning: Label 23071 at (1) defined but not used [-Wunused-label] vgam.f:270:5: 270 | 23065 continue | 1 Warning: Label 23065 at (1) defined but not used [-Wunused-label] vgam.f:209:5: 209 | 23063 continue | 1 Warning: Label 23063 at (1) defined but not used [-Wunused-label] vgam.f:211:5: 211 | 23061 continue | 1 Warning: Label 23061 at (1) defined but not used [-Wunused-label] vgam.f:202:5: 202 | 23059 continue | 1 Warning: Label 23059 at (1) defined but not used [-Wunused-label] vgam.f:204:5: 204 | 23057 continue | 1 Warning: Label 23057 at (1) defined but not used [-Wunused-label] vgam.f:187:5: 187 | 23051 continue | 1 Warning: Label 23051 at (1) defined but not used [-Wunused-label] vgam.f:173:5: 173 | 23047 continue | 1 Warning: Label 23047 at (1) defined but not used [-Wunused-label] vgam.f:167:5: 167 | 23043 continue | 1 Warning: Label 23043 at (1) defined but not used [-Wunused-label] vgam.f:155:5: 155 | 23039 continue | 1 Warning: Label 23039 at (1) defined but not used [-Wunused-label] vgam.f:194:5: 194 | 23025 continue | 1 Warning: Label 23025 at (1) defined but not used [-Wunused-label] vgam.f:312:5: 312 | 23087 continue | 1 Warning: Label 23087 at (1) defined but not used [-Wunused-label] vgam.f:314:5: 314 | 23085 continue | 1 Warning: Label 23085 at (1) defined but not used [-Wunused-label] vgam.f:746:5: 746 | 23266 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23266 at (1) defined but not used [-Wunused-label] vgam.f:737:5: 737 | 23263 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23263 at (1) defined but not used [-Wunused-label] vgam.f:740:5: 740 | 23260 kij0gwer=kij0gwer-1 | 1 Warning: Label 23260 at (1) defined but not used [-Wunused-label] vgam.f:724:5: 724 | 23253 lsvdbx3tk=lsvdbx3tk+1 | 1 Warning: Label 23253 at (1) defined but not used [-Wunused-label] vgam.f:712:5: 712 | 23250 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23250 at (1) defined but not used [-Wunused-label] vgam.f:704:5: 704 | 23247 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23247 at (1) defined but not used [-Wunused-label] vgam.f:715:5: 715 | 23244 lsvdbx3tk=lsvdbx3tk+1 | 1 Warning: Label 23244 at (1) defined but not used [-Wunused-label] vgam.f:751:5: 751 | 23239 ayfnwr1v = ayfnwr1v-1 | 1 Warning: Label 23239 at (1) defined but not used [-Wunused-label] vgam.f:685:5: 685 | 23237 continue | 1 Warning: Label 23237 at (1) defined but not used [-Wunused-label] vgam.f:687:5: 687 | 23235 continue | 1 Warning: Label 23235 at (1) defined but not used [-Wunused-label] vgam.f:565:5: 565 | 23197 continue | 1 Warning: Label 23197 at (1) defined but not used [-Wunused-label] vgam.f:558:5: 558 | 23193 continue | 1 Warning: Label 23193 at (1) defined but not used [-Wunused-label] vgam.f:560:5: 560 | 23191 continue | 1 Warning: Label 23191 at (1) defined but not used [-Wunused-label] vgam.f:551:5: 551 | 23189 continue | 1 Warning: Label 23189 at (1) defined but not used [-Wunused-label] vgam.f:531:5: 531 | 23183 continue | 1 Warning: Label 23183 at (1) defined but not used [-Wunused-label] vgam.f:533:5: 533 | 23181 continue | 1 Warning: Label 23181 at (1) defined but not used [-Wunused-label] vgam.f:570:5: 570 | 23179 continue | 1 Warning: Label 23179 at (1) defined but not used [-Wunused-label] vgam.f:520:5: 520 | 23177 continue | 1 Warning: Label 23177 at (1) defined but not used [-Wunused-label] vgam.f:522:5: 522 | 23175 continue | 1 Warning: Label 23175 at (1) defined but not used [-Wunused-label] vgam.f:632:5: 632 | 23223 continue | 1 Warning: Label 23223 at (1) defined but not used [-Wunused-label] vgam.f:634:5: 634 | 23221 continue | 1 Warning: Label 23221 at (1) defined but not used [-Wunused-label] vgam.f:625:5: 625 | 23219 continue | 1 Warning: Label 23219 at (1) defined but not used [-Wunused-label] vgam.f:627:5: 627 | 23217 continue | 1 Warning: Label 23217 at (1) defined but not used [-Wunused-label] vgam.f:615:5: 615 | 23215 continue | 1 Warning: Label 23215 at (1) defined but not used [-Wunused-label] vgam.f:617:5: 617 | 23213 continue | 1 Warning: Label 23213 at (1) defined but not used [-Wunused-label] vgam.f:605:5: 605 | 23209 continue | 1 Warning: Label 23209 at (1) defined but not used [-Wunused-label] vgam.f:607:5: 607 | 23207 continue | 1 Warning: Label 23207 at (1) defined but not used [-Wunused-label] vgam.f:591:5: 591 | 23205 continue | 1 Warning: Label 23205 at (1) defined but not used [-Wunused-label] vgam.f:593:5: 593 | 23203 continue | 1 Warning: Label 23203 at (1) defined but not used [-Wunused-label] vgam.f:583:5: 583 | 23201 continue | 1 Warning: Label 23201 at (1) defined but not used [-Wunused-label] vgam.f:585:5: 585 | 23199 continue | 1 Warning: Label 23199 at (1) defined but not used [-Wunused-label] vgam.f:665:5: 665 | 23233 continue | 1 Warning: Label 23233 at (1) defined but not used [-Wunused-label] vgam.f:659:5: 659 | 23231 continue | 1 Warning: Label 23231 at (1) defined but not used [-Wunused-label] vgam.f:651:5: 651 | 23229 continue | 1 Warning: Label 23229 at (1) defined but not used [-Wunused-label] vgam.f:653:5: 653 | 23227 continue | 1 Warning: Label 23227 at (1) defined but not used [-Wunused-label] vgam.f:668:5: 668 | 23225 continue | 1 Warning: Label 23225 at (1) defined but not used [-Wunused-label] vgam.f:496:5: 496 | 23171 continue | 1 Warning: Label 23171 at (1) defined but not used [-Wunused-label] vgam.f:491:5: 491 | 23169 continue | 1 Warning: Label 23169 at (1) defined but not used [-Wunused-label] vgam.f:480:5: 480 | 23163 continue | 1 Warning: Label 23163 at (1) defined but not used [-Wunused-label] vgam.f:474:5: 474 | 23161 continue | 1 Warning: Label 23161 at (1) defined but not used [-Wunused-label] vgam.f:476:5: 476 | 23159 continue | 1 Warning: Label 23159 at (1) defined but not used [-Wunused-label] vgam.f:467:5: 467 | 23157 continue | 1 Warning: Label 23157 at (1) defined but not used [-Wunused-label] vgam.f:455:5: 455 | 23155 continue | 1 Warning: Label 23155 at (1) defined but not used [-Wunused-label] vgam.f:457:5: 457 | 23153 continue | 1 Warning: Label 23153 at (1) defined but not used [-Wunused-label] vgam.f:459:5: 459 | 23151 continue | 1 Warning: Label 23151 at (1) defined but not used [-Wunused-label] vgam.f:461:5: 461 | 23149 continue | 1 Warning: Label 23149 at (1) defined but not used [-Wunused-label] vgam.f:445:5: 445 | 23147 continue | 1 Warning: Label 23147 at (1) defined but not used [-Wunused-label] vgam.f:441:5: 441 | 23145 continue | 1 Warning: Label 23145 at (1) defined but not used [-Wunused-label] vgam.f:498:5: 498 | 23143 continue | 1 Warning: Label 23143 at (1) defined but not used [-Wunused-label] vgam.f:429:5: 429 | 23141 continue | 1 Warning: Label 23141 at (1) defined but not used [-Wunused-label] vgam.f:431:5: 431 | 23139 continue | 1 Warning: Label 23139 at (1) defined but not used [-Wunused-label] vgam.f:420:5: 420 | 23135 continue | 1 Warning: Label 23135 at (1) defined but not used [-Wunused-label] vgam.f:415:5: 415 | 23133 continue | 1 Warning: Label 23133 at (1) defined but not used [-Wunused-label] vgam.f:405:5: 405 | 23127 continue | 1 Warning: Label 23127 at (1) defined but not used [-Wunused-label] vgam.f:401:5: 401 | 23125 continue | 1 Warning: Label 23125 at (1) defined but not used [-Wunused-label] vgam.f:422:5: 422 | 23123 continue | 1 Warning: Label 23123 at (1) defined but not used [-Wunused-label] vgam.f:389:5: 389 | 23119 continue | 1 Warning: Label 23119 at (1) defined but not used [-Wunused-label] vgam.f:382:5: 382 | 23117 continue | 1 Warning: Label 23117 at (1) defined but not used [-Wunused-label] vgam.f:384:5: 384 | 23115 continue | 1 Warning: Label 23115 at (1) defined but not used [-Wunused-label] vgam.f:375:5: 375 | 23113 continue | 1 Warning: Label 23113 at (1) defined but not used [-Wunused-label] vgam.f:391:5: 391 | 23111 continue | 1 Warning: Label 23111 at (1) defined but not used [-Wunused-label] vgam.f:364:5: 364 | 23109 continue | 1 Warning: Label 23109 at (1) defined but not used [-Wunused-label] vgam.f:366:5: 366 | 23107 continue | 1 Warning: Label 23107 at (1) defined but not used [-Wunused-label] vgam.f:356:5: 356 | 23103 continue | 1 Warning: Label 23103 at (1) defined but not used [-Wunused-label] vgam.f:358:5: 358 | 23101 continue | 1 Warning: Label 23101 at (1) defined but not used [-Wunused-label] vgam.f:349:5: 349 | 23099 continue | 1 Warning: Label 23099 at (1) defined but not used [-Wunused-label] vgam.f:351:5: 351 | 23097 continue | 1 Warning: Label 23097 at (1) defined but not used [-Wunused-label] vgam.f:344:5: 344 | 23095 continue | 1 Warning: Label 23095 at (1) defined but not used [-Wunused-label] vgam.f:877:5: 877 | 23299 continue | 1 Warning: Label 23299 at (1) defined but not used [-Wunused-label] vgam.f:870:5: 870 | 23297 continue | 1 Warning: Label 23297 at (1) defined but not used [-Wunused-label] vgam.f:872:5: 872 | 23295 continue | 1 Warning: Label 23295 at (1) defined but not used [-Wunused-label] vgam.f:858:5: 858 | 23293 continue | 1 Warning: Label 23293 at (1) defined but not used [-Wunused-label] vgam.f:860:5: 860 | 23291 continue | 1 Warning: Label 23291 at (1) defined but not used [-Wunused-label] vgam.f:836:5: 836 | 23285 continue | 1 Warning: Label 23285 at (1) defined but not used [-Wunused-label] vgam.f:820:5: 820 | 23281 continue | 1 Warning: Label 23281 at (1) defined but not used [-Wunused-label] vgam.f:822:5: 822 | 23279 continue | 1 Warning: Label 23279 at (1) defined but not used [-Wunused-label] vgam.f:809:5: 809 | 23275 continue | 1 Warning: Label 23275 at (1) defined but not used [-Wunused-label] vgam.f:801:5: 801 | 23273 continue | 1 Warning: Label 23273 at (1) defined but not used [-Wunused-label] vgam.f:911:5: 911 | 23313 continue | 1 Warning: Label 23313 at (1) defined but not used [-Wunused-label] vgam.f:913:5: 913 | 23311 continue | 1 Warning: Label 23311 at (1) defined but not used [-Wunused-label] vgam.f:915:5: 915 | 23309 continue | 1 Warning: Label 23309 at (1) defined but not used [-Wunused-label] vgam.f:896:5: 896 | 23305 continue | 1 Warning: Label 23305 at (1) defined but not used [-Wunused-label] vgam.f:898:5: 898 | 23303 continue | 1 Warning: Label 23303 at (1) defined but not used [-Wunused-label] vgam.f:900:5: 900 | 23301 continue | 1 Warning: Label 23301 at (1) defined but not used [-Wunused-label] vgam.f:1002:5: 1002 | 23331 continue | 1 Warning: Label 23331 at (1) defined but not used [-Wunused-label] vgam.f:990:5: 990 | 23327 continue | 1 Warning: Label 23327 at (1) defined but not used [-Wunused-label] vgam.f:984:5: 984 | 23325 continue | 1 Warning: Label 23325 at (1) defined but not used [-Wunused-label] vgam.f:954:5: 954 | 23321 continue | 1 Warning: Label 23321 at (1) defined but not used [-Wunused-label] vgam.f:1014:5: 1014 | 23335 continue | 1 Warning: Label 23335 at (1) defined but not used [-Wunused-label] vgam.f:932:5: 932 | 23317 continue | 1 Warning: Label 23317 at (1) defined but not used [-Wunused-label] vgam.f:1043:5: 1043 | 23345 continue | 1 Warning: Label 23345 at (1) defined but not used [-Wunused-label] vgam.f:1039:5: 1039 | 23343 continue | 1 Warning: Label 23343 at (1) defined but not used [-Wunused-label] vgam.f:1035:5: 1035 | 23341 continue | 1 Warning: Label 23341 at (1) defined but not used [-Wunused-label] vgam.f:1069:5: 1069 | 23353 continue | 1 Warning: Label 23353 at (1) defined but not used [-Wunused-label] vgam.f:1065:5: 1065 | 23349 continue | 1 Warning: Label 23349 at (1) defined but not used [-Wunused-label] vgam.f:1054:5: 1054 | 23347 continue | 1 Warning: Label 23347 at (1) defined but not used [-Wunused-label] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vgam3.c -o vgam3.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c vlinpack1.f -o vlinpack1.o vlinpack1.f:70:5: 70 | 23016 j=j+1 | 1 Warning: Label 23016 at (1) defined but not used [-Wunused-label] vlinpack1.f:35:5: 35 | 23007 j=j+1 | 1 Warning: Label 23007 at (1) defined but not used [-Wunused-label] vlinpack1.f:17:5: 17 | 23001 continue | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c vlinpack2.f -o vlinpack2.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c vlinpack3.f -o vlinpack3.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c vmux.f -o vmux.o vmux.f:23:5: 23 | 23008 continue | 1 Warning: Label 23008 at (1) defined but not used [-Wunused-label] vmux.f:25:5: 25 | 23006 continue | 1 Warning: Label 23006 at (1) defined but not used [-Wunused-label] vmux.f:13:5: 13 | 23004 continue | 1 Warning: Label 23004 at (1) defined but not used [-Wunused-label] vmux.f:14:5: 14 | 23001 urohxe6t=urohxe6t-1 | 1 Warning: Label 23001 at (1) defined but not used [-Wunused-label] vmux.f:41:5: 41 | 23010 continue | 1 Warning: Label 23010 at (1) defined but not used [-Wunused-label] vmux.f:80:5: 80 | 23027 continue | 1 Warning: Label 23027 at (1) defined but not used [-Wunused-label] vmux.f:82:5: 82 | 23025 continue | 1 Warning: Label 23025 at (1) defined but not used [-Wunused-label] vmux.f:61:5: 61 | 23022 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23022 at (1) defined but not used [-Wunused-label] vmux.f:64:5: 64 | 23019 yq6lorbx=yq6lorbx+1 | 1 Warning: Label 23019 at (1) defined but not used [-Wunused-label] vmux.f:67:5: 67 | 23016 ayfnwr1v=ayfnwr1v+1 | 1 Warning: Label 23016 at (1) defined but not used [-Wunused-label] vmux.f:106:5: 106 | 23037 bpvaqm5z=bpvaqm5z+1 | 1 Warning: Label 23037 at (1) defined but not used [-Wunused-label] vmux.f:110:5: 110 | 23034 yq6lorbx=yq6lorbx+1 | 1 Warning: Label 23034 at (1) defined but not used [-Wunused-label] vmux.f:113:5: 113 | 23031 ayfnwr1v=ayfnwr1v+1 | 1 Warning: Label 23031 at (1) defined but not used [-Wunused-label] vmux.f:139:5: 139 | 23046 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23046 at (1) defined but not used [-Wunused-label] vmux.f:143:5: 143 | 23043 yq6lorbx=yq6lorbx-1 | 1 Warning: Label 23043 at (1) defined but not used [-Wunused-label] vmux.f:146:5: 146 | 23040 ayfnwr1v=ayfnwr1v+1 | 1 Warning: Label 23040 at (1) defined but not used [-Wunused-label] vmux.f:210:5: 210 | 23072 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23072 at (1) defined but not used [-Wunused-label] vmux.f:214:5: 214 | 23069 yq6lorbx=yq6lorbx-1 | 1 Warning: Label 23069 at (1) defined but not used [-Wunused-label] vmux.f:200:5: 200 | 23067 continue | 1 Warning: Label 23067 at (1) defined but not used [-Wunused-label] vmux.f:203:5: 203 | 23065 continue | 1 Warning: Label 23065 at (1) defined but not used [-Wunused-label] vmux.f:190:5: 190 | 23063 continue | 1 Warning: Label 23063 at (1) defined but not used [-Wunused-label] vmux.f:193:5: 193 | 23061 continue | 1 Warning: Label 23061 at (1) defined but not used [-Wunused-label] vmux.f:178:5: 178 | 23057 continue | 1 Warning: Label 23057 at (1) defined but not used [-Wunused-label] vmux.f:182:5: 182 | 23055 continue | 1 Warning: Label 23055 at (1) defined but not used [-Wunused-label] vmux.f:165:5: 165 | 23051 continue | 1 Warning: Label 23051 at (1) defined but not used [-Wunused-label] vmux.f:184:5: 184 | 23049 continue | 1 Warning: Label 23049 at (1) defined but not used [-Wunused-label] vmux.f:256:5: 256 | 23091 continue | 1 Warning: Label 23091 at (1) defined but not used [-Wunused-label] vmux.f:259:5: 259 | 23089 continue | 1 Warning: Label 23089 at (1) defined but not used [-Wunused-label] vmux.f:261:5: 261 | 23087 continue | 1 Warning: Label 23087 at (1) defined but not used [-Wunused-label] vmux.f:246:5: 246 | 23085 continue | 1 Warning: Label 23085 at (1) defined but not used [-Wunused-label] vmux.f:248:5: 248 | 23083 continue | 1 Warning: Label 23083 at (1) defined but not used [-Wunused-label] vmux.f:240:5: 240 | 23081 continue | 1 Warning: Label 23081 at (1) defined but not used [-Wunused-label] vmux.f:263:5: 263 | 23079 continue | 1 Warning: Label 23079 at (1) defined but not used [-Wunused-label] vmux.f:232:5: 232 | 23077 continue | 1 Warning: Label 23077 at (1) defined but not used [-Wunused-label] vmux.f:234:5: 234 | 23075 continue | 1 Warning: Label 23075 at (1) defined but not used [-Wunused-label] vmux.f:326:5: 326 | 23120 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23120 at (1) defined but not used [-Wunused-label] vmux.f:331:5: 331 | 23115 col=col+1 | 1 Warning: Label 23115 at (1) defined but not used [-Wunused-label] vmux.f:334:5: 334 | 23112 yq6lorbx=yq6lorbx+1 | 1 Warning: Label 23112 at (1) defined but not used [-Wunused-label] vmux.f:299:5: 299 | 23107 gp1jxzuh=gp1jxzuh+1 | 1 Warning: Label 23107 at (1) defined but not used [-Wunused-label] vmux.f:307:5: 307 | 23102 yq6lorbx=yq6lorbx-1 | 1 Warning: Label 23102 at (1) defined but not used [-Wunused-label] vmux.f:310:5: 310 | 23099 col=col+1 | 1 Warning: Label 23099 at (1) defined but not used [-Wunused-label] vmux.f:280:5: 280 | 23096 col=col+1 | 1 Warning: Label 23096 at (1) defined but not used [-Wunused-label] vmux.f:283:5: 283 | 23093 yq6lorbx=yq6lorbx+1 | 1 Warning: Label 23093 at (1) defined but not used [-Wunused-label] vmux.f:359:5: 359 | 23123 yq6lorbx=yq6lorbx+1 | 1 Warning: Label 23123 at (1) defined but not used [-Wunused-label] vmux.f:435:5: 435 | 23144 continue | 1 Warning: Label 23144 at (1) defined but not used [-Wunused-label] vmux.f:438:5: 438 | 23131 ayfnwr1v=ayfnwr1v+1 | 1 Warning: Label 23131 at (1) defined but not used [-Wunused-label] vmux.f:441:5: 441 | 23128 kij0gwer=kij0gwer+1 | 1 Warning: Label 23128 at (1) defined but not used [-Wunused-label] vmux.f:539:5: 539 | 23166 continue | 1 Warning: Label 23166 at (1) defined but not used [-Wunused-label] vmux.f:542:5: 542 | 23151 ayfnwr1v=ayfnwr1v+1 | 1 Warning: Label 23151 at (1) defined but not used [-Wunused-label] vmux.f:545:5: 545 | 23148 kij0gwer=kij0gwer+1 | 1 Warning: Label 23148 at (1) defined but not used [-Wunused-label] vmux.f:616:5: 616 | 23174 continue | 1 Warning: Label 23174 at (1) defined but not used [-Wunused-label] gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vmux3.c -o vmux3.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c zeta3.c -o zeta3.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o VGAM.so VGAM_init.o caqo3.o ei.o fgam.o gautr.o lerchphi.o lms.o muxr3.o rgam.o rgam3.o specfun3.o tyeepolygamma.o tyeepolygamma3.o vdigami.o veigen.o vgam.o vgam3.o vlinpack1.o vlinpack2.o vlinpack3.o vmux.o vmux3.o zeta3.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpwocWmf/R.INSTALL3120f99b401c1/VGAM/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-VGAM/00new/VGAM/libs ** R ** data *** moving datasets to lazyload DB ** demo ** 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 (VGAM) begin installing package ‘smcfcs’ * installing *source* package ‘timereg’ ... ** this is package ‘timereg’ version ‘2.0.6’ ** package ‘timereg’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpAmzlxT/R.INSTALL315b4e729a4b12/timereg/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Gprop-odds.c -o Gprop-odds.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c aalen.c -o aalen.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c aalenC.c -o aalenC.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c additive-compSs.c -o additive-compSs.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c breslow.c -o breslow.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c comprisk.c -o comprisk.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c comptest-cmprsk.c -o comptest-cmprsk.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c comptest.c -o comptest.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cox-aalen.c -o cox-aalen.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c dynadd.c -o dynadd.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ipcw-residualmean.c -o ipcw-residualmean.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c matrix.c -o matrix.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mgresid.c -o mgresid.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pava.c -o pava.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pe-sasieni.c -o pe-sasieni.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pred.c -o pred.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prop-excess.c -o prop-excess.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prop-odds-subdist2.c -o prop-odds-subdist2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prop-odds.c -o prop-odds.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smooth.c -o smooth.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c smooth2.c -o smooth2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c timecox.c -o timecox.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c timeregister.c -o timeregister.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c two-stage-reg.c -o two-stage-reg.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c unifConfBandResampling.c -o unifConfBandResampling.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o timereg.so Gprop-odds.o aalen.o aalenC.o additive-compSs.o breslow.o comprisk.o comptest-cmprsk.o comptest.o cox-aalen.o dynadd.o ipcw-residualmean.o matrix.o mgresid.o pava.o pe-sasieni.o pred.o prop-excess.o prop-odds-subdist2.o prop-odds.o smooth.o smooth2.o timecox.o timeregister.o two-stage-reg.o unifConfBandResampling.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpAmzlxT/R.INSTALL315b4e729a4b12/timereg/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-timereg/00new/timereg/libs ** 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 ** 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 (timereg) begin installing package ‘mets’ * installing *source* package ‘ggplot2’ ... ** this is package ‘ggplot2’ version ‘3.5.2’ ** package ‘ggplot2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggplot2) begin installing package ‘viridis’ begin installing package ‘casebase’ begin installing package ‘prodlim’ * installing *source* package ‘RcppEigen’ ... ** this is package ‘RcppEigen’ version ‘0.3.4.0.2’ ** package ‘RcppEigen’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmptaTlte/R.INSTALL3152927fc7ea79/RcppEigen/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppEigen.cpp -o RcppEigen.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/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; | ^ ../inst/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; | ^ ../inst/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 }; }; | ^ ../inst/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 }; }; | ^ ../inst/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 }; }; | ^ ../inst/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 { | ^ ../inst/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 { | ^ ../inst/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) { | ^ ../inst/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 ../inst/include/Eigen/Core:174: ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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 ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/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] ../inst/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 ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../inst/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; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../inst/include/Eigen/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 ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ ../inst/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/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; | ^ ../inst/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; | ^ ../inst/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 }; }; | ^ ../inst/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 }; }; | ^ ../inst/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 }; }; | ^ ../inst/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 { | ^ ../inst/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 { | ^ ../inst/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) { | ^ ../inst/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 ../inst/include/Eigen/Core:174: ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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 ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/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] ../inst/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 ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../inst/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; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../inst/include/Eigen/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 ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ ../inst/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -fpic -g -O2 -Wall -pedantic -mtune=native -c fastLm.cpp -o fastLm.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/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; | ^ ../inst/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; | ^ ../inst/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 }; }; | ^ ../inst/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 }; }; | ^ ../inst/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 }; }; | ^ ../inst/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 { | ^ ../inst/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 { | ^ ../inst/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) { | ^ ../inst/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 ../inst/include/Eigen/Core:174: ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 { \ | ^ ../inst/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 ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ../inst/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] ../inst/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 ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ ../inst/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; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ ../inst/include/Eigen/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 ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ ../inst/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; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ fastLm.h:45:21: required from here 45 | typedef MatrixXd::Index Index; | ^~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ fastLm.h:45:21: required from here 45 | typedef MatrixXd::Index Index; | ^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124: required from ‘class Eigen::ColPivHouseholderQR >’ 70 | typedef HouseholderSequence::type> HouseholderSequenceType; | ^~~~~~~~~~~~~~~~~~~~~~~ fastLm.h:48:42: required from here 48 | typedef ColPivHouseholderQR::PermutationType Permutation; | ^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR >’ 440 | RowVectorType m_temp; | ^~~~~~ fastLm.h:48:42: required from here 48 | typedef ColPivHouseholderQR::PermutationType Permutation; | ^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ fastLm.h:53:16: required from here 53 | Map m_X; /**< model matrix */ | ^~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ fastLm.h:54:16: required from here 54 | Map m_y; /**< response vector */ | ^~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ fastLm.h:67:65: required from here 67 | MatrixXd I_p() const {return MatrixXd::Identity(m_p, m_p);} | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ fastLm.cpp:51:29: required from here 51 | m_coef(VectorXd::Constant(m_p, ::NA_REAL)), // #nocov | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ fastLm.cpp:64:46: required from here 64 | inline ArrayXd lm::Dplus(const ArrayXd& d) { | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ fastLm.cpp:68:24: required from here 68 | m_r = (di != 0.).count(); | ^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ fastLm.cpp:74:28: required from here 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:96:28: required from here 96 | m_coef = PQR.solve(y); | ~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:97:23: required from here 97 | m_fitted = X * m_coef; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ fastLm.cpp:98:48: required from here 98 | m_se = Pmat * PQR.matrixQR().topRows(m_p). | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:99:32: required from here 98 | m_se = Pmat * PQR.matrixQR().topRows(m_p). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | triangularView().solve(I_p()).rowwise().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >’ 43 | typedef typename MatrixType::Scalar InputScalar; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:99:54: required from here 98 | m_se = Pmat * PQR.matrixQR().topRows(m_p). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | triangularView().solve(I_p()).rowwise().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >’ 23 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:99:54: required from here 98 | m_se = Pmat * PQR.matrixQR().topRows(m_p). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | triangularView().solve(I_p()).rowwise().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:99:54: required from here 98 | m_se = Pmat * PQR.matrixQR().topRows(m_p). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | triangularView().solve(I_p()).rowwise().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:99:55: required from here 99 | triangularView().solve(I_p()).rowwise().norm(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:104:13: required from here 102 | MatrixXd Rinv(PQR.matrixQR().topLeftCorner(m_r, m_r). // #nocov start | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 103 | triangularView(). | ~~~~~~~~~~~~~~~~~~~~~~~~ 104 | solve(MatrixXd::Identity(m_r, m_r))); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ fastLm.cpp:106:13: required from here 106 | m_coef.head(m_r) = Rinv * effects.head(m_r); | ~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:106:61: required from here 106 | m_coef.head(m_r) = Rinv * effects.head(m_r); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:107:45: required from here 107 | m_coef = Pmat * m_coef; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 43 | typedef typename MatrixType::Scalar InputScalar; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:112:57: required from here 112 | m_se.head(m_r) = Rinv.rowwise().norm(); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >’ 23 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:112:57: required from here 112 | m_se.head(m_r) = Rinv.rowwise().norm(); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:112:57: required from here 112 | m_se.head(m_r) = Rinv.rowwise().norm(); | ~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:118:39: required from here 118 | m_coef = QR.solve(y); | ~~~~~~~~^~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:127:45: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:127:30: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:129:40: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >’ 43 | typedef typename MatrixType::Scalar InputScalar; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >’ 23 | template struct traits : traits {}; | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:129:62: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >’ 23 | >::type Scalar; | ^~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:129:62: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:129:62: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ fastLm.cpp:134:18: required from here 134 | Dplus(Ch.vectorD()); // to set the rank | ~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:139:30: required from here 139 | m_coef = Ch.solve(X.adjoint() * y); | ~~~~~~~~^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ fastLm.cpp:141:30: required from here 141 | m_se = Ch.solve(I_p()).diagonal().array().sqrt(); | ~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ 63 | template class Diagonal | ^~~~~~~~ fastLm.cpp:141:46: required from here 141 | m_se = Ch.solve(I_p()).diagonal().array().sqrt(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1>, Eigen::Matrix >, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ fastLm.cpp:141:54: required from here 141 | m_se = Ch.solve(I_p()).diagonal().array().sqrt(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:141:61: required from here 141 | m_se = Ch.solve(I_p()).diagonal().array().sqrt(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ fastLm.cpp:163:25: required from here 163 | MatrixXd VDi(Vt.adjoint() * Dplus(S).matrix().asDiagonal()); | ~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ fastLm.cpp:163:45: required from here 163 | MatrixXd VDi(Vt.adjoint() * Dplus(S).matrix().asDiagonal()); | ~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:163:59: required from here 163 | MatrixXd VDi(Vt.adjoint() * Dplus(S).matrix().asDiagonal()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:164:32: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ fastLm.cpp:172:38: required from here 172 | Dplus(UDV.singularValues().array()).matrix().asDiagonal()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:172:62: required from here 172 | Dplus(UDV.singularValues().array()).matrix().asDiagonal()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ fastLm.cpp:180:39: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ fastLm.cpp:182:47: required from here 182 | Dplus(eig.eigenvalues().array()).sqrt().matrix().asDiagonal()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Array > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::Array > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ fastLm.cpp:182:56: required from here 182 | Dplus(eig.eigenvalues().array()).sqrt().matrix().asDiagonal()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:182:70: required from here 182 | Dplus(eig.eigenvalues().array()).sqrt().matrix().asDiagonal()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:183:51: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ fastLm.cpp:230:49: required from here 230 | VectorXd resid = y - ans.fitted(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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; | ^~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ fastLm.cpp:235:45: required from here 235 | VectorXd se = s * ans.se(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ fastLm.cpp:235:45: required from here 235 | VectorXd se = s * ans.se(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 426 | res(other.template cast::ResultScalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 513 | typedef typename _CastType::Scalar NewScalarType; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase >::CastXpr’ 48 | template struct CastXpr { typedef typename internal::cast_return_type, const Derived> >::type Type; }; | ^~~~ ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]’ 62 | cast() const | ^~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 426 | res(other.template cast::ResultScalar>()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ fastLm.cpp:111:59: required from here 111 | m_fitted = PQR.householderQ() * effects; | ^~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ fastLm.cpp:73:35: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 363 | Matrix workspace; | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 363 | Matrix workspace; | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:33: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:91: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:101: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ fastLm.cpp:233:44: required from here 233 | double s = resid.norm() / std::sqrt(double(df)); | ~~~~~~~~~~^~ ../inst/include/Eigen/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 ../inst/include/Eigen/Core:330: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ../inst/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 = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ../inst/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; | ^~~~~~~~~~~~~ ../inst/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 = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ../inst/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; | ^~~~~~~~~~~~~~~~ ../inst/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 = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 92 | gebp_kernel gebp; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ ../inst/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, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:394:39: 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]’ 394 | Block sub_dst(dst, | ^~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: 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); | ~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:55: 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]’ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:325:19: 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); | ~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0>, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ ../inst/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); | ^~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/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(); | ~~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/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); | ~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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; | ^~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 691 | m_scaledMatrix = matrix / scale; | ~~~~~~~^~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 765 | if(computeU() && (a::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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]’: ../inst/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 = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/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; | ^~~~~~ ../inst/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]’: ../inst/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 = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/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; | ^~~~~~~~~~~~~ ../inst/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, | ^~~~ ../inst/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, | ^~~~ ../inst/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] ../inst/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; | ^~~~~~~~~~~ ../inst/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] ../inst/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; | ^~~~~~~~~~~~~~ ../inst/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] ../inst/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] ../inst/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] ../inst/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]’: ../inst/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 = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/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; | ^~~~ ../inst/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; | ^~~~ ../inst/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] ../inst/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; | ^~~~~~~~~~~~~~ ../inst/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; | ^~~~~~~~~~~~~~ ../inst/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; | ^~~~~~~~~~~~~~ ../inst/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; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/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 = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ ../inst/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 = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/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 = 1; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ ../inst/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 = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 45 | VectorBlock::ret> essentialPart(derived(), 1, size()-1); | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 128 | Block bottom(derived(), 1, 0, rows()-1, cols()); | ^~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/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> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/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> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:90:75: 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>]’ 90 | Matrix T(nbVecs,nbVecs); | ^ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 6>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: 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>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63: 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>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: 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>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~^~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:127:63: 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]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/Eigen/src/Householder/Householder.h:127:63: 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]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Householder/Householder.h:128:82: 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]’ 128 | Block bottom(derived(), 1, 0, rows()-1, cols()); | ^~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:38: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:41: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Householder/Householder.h:130:21: 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]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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; | ~~~~^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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; | ~~~~^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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; | ~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:41: 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; | ~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/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 ../inst/include/Eigen/Core:277: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 1>’ 187 | template class TriangularView | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView().adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 25 | Matrix m; | ^ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: ../inst/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::Array; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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::Array; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Array; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ fastLm.cpp:66:25: required from here 66 | double comp(d.maxCoeff() * threshold()); | ~~~~~~~~~~^~ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/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>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:76:64: 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]’ 76 | VectorBlock tail(derived(), 1, size()-1); | ^~~~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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); | ~~~~~^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:20: 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() | ~~~~~~~~~~~~~^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:28: 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() | ~~~~~~~~~~~~~~~~~~~~~^~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:70: 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() | ~~~~~~~~~~~^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:78: 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() | ~~~~~~~~~~~~~~~~~~~^~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:84: 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>]’ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:123:11: 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]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:12: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~^~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:20: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: 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::Block, -1, 1, false>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: 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::Block, -1, 1, false>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: 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::Block, -1, 1, false>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: 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::Block, -1, 1, false>]’ 103 | mat.noalias() -= V * tmp; | ~~^~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:323:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 323 | Block A21(mat,k+1,k,rs,1); | ^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:332:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:129:63: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~^~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 2, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 297 | RowXpr x(this->row(p)); | ^ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/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, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 733 | m_workMatrix.applyOnTheLeft(p,q,j_left); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, 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, | ^~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 313 | ColXpr x(this->col(p)); | ^ ../inst/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); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: 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 = 1; ResScalar = double]’ 171 | buffer.setZero(); | ~~~~~~~~~~~~~~^~ ../inst/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 = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:74:16: required from here 73 | return MatrixXd(m_p, m_p).setZero().selfadjointView(). | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 74 | rankUpdate(m_X.adjoint()); | ~~~~~~~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ ../inst/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::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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, | ^~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~^~ ../inst/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(); | ~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/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::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/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::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:106:61: required from here 106 | m_coef.head(m_r) = Rinv * effects.head(m_r); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false> >, 0>’: ../inst/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>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/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>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ../inst/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>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/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>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/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, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ ../inst/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>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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; | ~~~~^~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: ../inst/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, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ 46 | m.applyOnTheLeft(0,1,rot1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: ../inst/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ fastLm.cpp:233:44: required from here 233 | double s = resid.norm() / std::sqrt(double(df)); | ~~~~~~~~~~^~ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/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::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/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, | ^~~~~ ../inst/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); | ~~~~~^~~~~~~ ../inst/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() | ~~~~~~~^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ../inst/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; | ^~~~~~~~ ../inst/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, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; 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); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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; | ^~~~~~~~~~ ../inst/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; | ^~~~~~~~~~~~~ ../inst/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] ../inst/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, | ^~~~ ../inst/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] ../inst/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}; | ^~~~ ../inst/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] ../inst/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] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: ../inst/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; | ^~~~~~~~~~~~~~ ../inst/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, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; 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); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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; | ^~~~~~~~~~ ../inst/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; | ^~~~~~~~~~~~~ ../inst/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] ../inst/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, | ^~~~ ../inst/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] ../inst/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}; | ^~~~ ../inst/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] ../inst/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] ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 679 | RealScalar scale = matrix.cwiseAbs().template maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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]’: ../inst/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_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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(); | ~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:99:55: required from here 99 | triangularView().solve(I_p()).rowwise().norm(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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> >, 1>, 0>’: ../inst/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> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/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> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/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> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: 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; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ ../inst/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, 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()); | ~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ../inst/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, | ^~~~~~~~~~~~~ ../inst/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>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: ../inst/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>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 328 | if (k>0) x -= A10.squaredNorm(); | ~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~ ../inst/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, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; 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); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 364 | if(rs>0) A11.adjoint().template triangularView().template solveInPlace(A21); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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; | ^~~~~~~~~~~~~ ../inst/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, | ^~~~ ../inst/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, | ^~~~ ../inst/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] ../inst/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]’: ../inst/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 = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’ 109 | internal::general_matrix_matrix_triangular_product::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits::IsComplex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 113 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ 126 | selfadjoint_product_selector::run(_expression().const_cast_derived(), u.derived(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 365 | if(rs>0) A22.template selfadjointView().rankUpdate(A21,typename NumTraits::Literal(-1)); // bottleneck | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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; | ^~~~~~~~~~~~~ ../inst/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, | ^~~~ ../inst/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, | ^~~~ ../inst/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] ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from ‘Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]’ 175 | return internal::evaluator(derived()).coeff(row,col); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~^~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:139:46: required from here 139 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:139:46: required from here 139 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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> >; Eigen::Index = long int]’: ../inst/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> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/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 = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/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::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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 = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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 = mul_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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:123:11: 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]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ../inst/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, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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, false>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:130:9: 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]’ 130 | tmp += this->row(0); | ~~~~^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/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::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/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; | ^~~~ ../inst/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; | ^~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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(); | ~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 2, -1, true>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:112:58: required from here 112 | m_se.head(m_r) = Rinv.rowwise().norm(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >’: ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from ‘PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]’ 603 | return m_d.func().packetOp(m_d.argImpl.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:112:58: required from here 112 | m_se.head(m_r) = Rinv.rowwise().norm(); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 333 | if (rs>0) A21 /= x; | ~~~~^~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ In file included from ../inst/include/Eigen/Core:333: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ../inst/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; | ^~~~~~~~~ ../inst/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; 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); | ~~~~~~~~~~~~~~~~ ../inst/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, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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 && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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 && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ../inst/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; | ^~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; 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); | ~~~~~~~~~~~~~~~~ ../inst/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, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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 && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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 && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ../inst/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; | ^~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; 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); | ~~~~~~~~~~~~~~~~ ../inst/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, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ../inst/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 && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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 && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale; | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:93:15: 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); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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]’: ../inst/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 = 2; 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); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; 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); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ 552 | this->solveInPlace(dst); | ~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ fastLm.cpp:104:43: required from here 104 | solve(MatrixXd::Identity(m_r, m_r))); | ^ ../inst/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; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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; | ^~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 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); | ^~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:106:61: required from here 106 | m_coef.head(m_r) = Rinv * effects.head(m_r); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:112:58: required from here 112 | m_se.head(m_r) = Rinv.rowwise().norm(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: ../inst/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, false>, 1, -1, false>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, false>, 1, -1, false>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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, false>, 1, -1, false>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:121:58: required from here 121 | triangularView().solve(I_p()).rowwise().norm(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from ‘PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]’ 603 | return m_d.func().packetOp(m_d.argImpl.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:121:58: required from here 121 | triangularView().solve(I_p()).rowwise().norm(); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:129:63: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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, false>; Derived = Eigen::Block, -1, 1, false>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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, 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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, 0, Eigen::Stride<0, 0> >, 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); | ^~~ ../inst/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, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:97:23: required from here 97 | m_fitted = X * m_coef; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, 0, Eigen::Stride<0, 0> >, 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); | ^~~ ../inst/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, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:97:23: required from here 97 | m_fitted = X * m_coef; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/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 = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; 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 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/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 = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; 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 | ); | ~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: ../inst/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, false>, -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, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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::Block, -1, 1, false>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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::Block, -1, 1, false>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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::Block, -1, 1, false>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ../inst/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, 1, 1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, 1, 1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 1, 1, false>; Func = swap_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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:99:55: required from here 99 | triangularView().solve(I_p()).rowwise().norm(); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~ ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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 = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 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); | ^~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:106:61: required from here 106 | m_coef.head(m_r) = Rinv * effects.head(m_r); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: ../inst/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>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/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>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 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); | ^~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:106:61: required from here 106 | m_coef.head(m_r) = Rinv * effects.head(m_r); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ../inst/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>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/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>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 291 | mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 120 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:133:50: required from here 133 | LDLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/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 ../inst/include/Eigen/Core:337: ../inst/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]’: ../inst/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::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> >; 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 | ); | ~ ../inst/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>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/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>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -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> | ^~~~~~~~~~~~~~~ ../inst/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>, -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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, 0, Eigen::Stride<0, 0> >, 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); | ^~~ ../inst/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, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:97:23: required from here 97 | m_fitted = X * m_coef; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, 0, Eigen::Stride<0, 0> >, 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); | ^~~ ../inst/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, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:97:23: required from here 97 | m_fitted = X * m_coef; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ../inst/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, 1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, 1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 1, 1, false>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:99:55: required from here 99 | triangularView().solve(I_p()).rowwise().norm(); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:112:58: required from here 112 | m_se.head(m_r) = Rinv.rowwise().norm(); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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 = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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::Block, -1, 1, false>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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::Block, -1, 1, false>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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::Block, -1, 1, false>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:129:63: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/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::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/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 ../inst/include/Eigen/Core:166: ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::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> >; 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 | ); | ~ ../inst/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>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/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>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]’ 181 | compute(matrix.derived(), options); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:180:69: required from here 180 | SelfAdjointEigenSolver eig(XtX().selfadjointView()); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: 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; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: 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; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: 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; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 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); | ^~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:106:61: required from here 106 | m_coef.head(m_r) = Rinv * effects.head(m_r); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 344 | return unblocked(m); | ~~~~~~~~~^~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ 332 | if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ 363 | if((ret=unblocked(A11))>=0) return k+ret; | ~~~~~~~~~^~~~~ ../inst/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; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:126:50: required from here 126 | LLT Ch(XtX().selfadjointView()); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: ../inst/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, 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, true>, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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, true>, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:92:37: required from here 92 | ColPivHouseholderQR PQR(X); // decompose the model matrix | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:96:30: required from here 96 | m_coef = PQR.solve(y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, 0, Eigen::Stride<0, 0> >, 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); | ^~~ ../inst/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, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:97:23: required from here 97 | m_fitted = X * m_coef; | ^~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, 0, Eigen::Stride<0, 0> >, 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); | ^~~ ../inst/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, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:97:23: required from here 97 | m_fitted = X * m_coef; | ^~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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> >’: ../inst/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, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: ../inst/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map >(rhs+s,k))).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ 71 | triangular_solve_vector | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ../inst/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::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:129:63: required from here 129 | m_se = Ch.matrixL().solve(I_p()).colwise().norm(); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: 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>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: 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>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: 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>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: 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>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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> | ^~~~~~~~~~~~~~~ ../inst/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()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:132:22: 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; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ../inst/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, 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); | ^~~~~~~~~~~~ ../inst/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, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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> >’: ../inst/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, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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>, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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::Block, -1, 1, false>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: 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::Block, -1, 1, false>]’ 103 | mat.noalias() -= V * tmp; | ~~~~~~~~~~~~~~^~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: 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() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64 | * vectors.bottomRightCorner(rs, rt).template triangularView(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/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::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ../inst/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, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/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>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: ../inst/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>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -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>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ 295 | mat.bottomRightCorner(remainingRows, remainingCols) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 296 | .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 345 | householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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); | ^~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ 232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 692 | m_qr_precond_morecols.run(*this, m_scaledMatrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]’ 549 | compute(matrix, computationOptions); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from ‘Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 807 | return JacobiSVD(*this, computationOptions); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:170:38: required from here 170 | JacobiSVD UDV(X.jacobiSvd(ComputeThinU|ComputeThinV)); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/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); | ^~~~~~~~~ ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -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()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/Householder.h:129:19: 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]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: 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]’ 409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols()) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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); | ^~~~~~~~~ ../inst/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> >’: ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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::Block, -1, 1, false>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ../inst/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, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, false> >, -1, -1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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, false> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: 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::Block, -1, 1, false>]’ 99 | VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; | ^~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ 350 | apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 416 | internal::householder_qr_inplace_blocked::run(m_qr, m_hCoeffs, 48, m_temp.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 181 | computeInPlace(); | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from ‘Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]’ 114 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ fastLm.cpp:117:30: required from here 117 | HouseholderQR QR(X); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::ArrayWrapper, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:141:62: required from here 141 | m_se = Ch.solve(I_p()).diagonal().array().sqrt(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseUnaryOp, const Eigen::ArrayWrapper, 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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:141:62: required from here 141 | m_se = Ch.solve(I_p()).diagonal().array().sqrt(); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/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::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: ../inst/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 | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ ../inst/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::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ../inst/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::Block, -1, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ ../inst/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::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::Block, -1, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Block, -1, 1, true>; Func = swap_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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:139:46: required from here 139 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: 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>]’ 101 | if(forward) tmp = T.template triangularView() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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), | ^~~~~~~~~~~~~ ../inst/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 > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ^~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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); | ~~~~~~~~~~^~~~~~~ ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: 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>]’ 102 | else tmp = T.template triangularView().adjoint() * tmp; | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]’ 427 | applyThisOnTheLeft(res, internal::is_identity::value && res.rows()==res.cols()); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ fastLm.cpp:105:67: required from here 105 | VectorXd effects(PQR.householderQ().adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ../inst/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>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/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>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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> >, 0>’: ../inst/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/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>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ ../inst/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::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/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>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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, | ^~~~~~~~~~~~~ ../inst/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 | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/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> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’: ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 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), | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/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>’: ../inst/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 | ^~~~~~~~~ ../inst/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 | ^~~~~~~~~~ ../inst/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 | ^~~~~~~~~~~~~~~~~ ../inst/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 : | ^~~~~~~~~~~~~ ../inst/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::Transpose >; 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::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:164:36: required from here 164 | m_coef = VDi * U.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ ../inst/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::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Transpose >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: ../inst/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, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ ../inst/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, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ ../inst/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:127:46: required from here 127 | m_coef = Ch.solve(X.adjoint() * y); | ^ ../inst/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); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ../inst/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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ ../inst/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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ ../inst/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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ ../inst/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::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ^~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/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::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<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); | ~~~~~~~~~~^~~~~~~ fastLm.cpp:183:55: required from here 183 | m_coef = VDi * VDi.adjoint() * X.adjoint() * y; | ^ ../inst/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, | ^~~~~~~~~ ../inst/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> >]’: ../inst/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 | ); | ~ ../inst/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 ../inst/include/Eigen/Core:341: ../inst/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]’: ../inst/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); | ~~~~~~~~~~~~ ../inst/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++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmptaTlte/R.INSTALL3152927fc7ea79/RcppEigen/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-RcppEigen/00new/RcppEigen/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppEigen) begin installing package ‘ranger’ begin installing package ‘glmnet’ * installing *source* package ‘smcfcs’ ... ** this is package ‘smcfcs’ version ‘2.0.0’ ** package ‘smcfcs’ 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 ** 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 (smcfcs) * installing *source* package ‘viridis’ ... ** this is package ‘viridis’ version ‘0.6.5’ ** package ‘viridis’ 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 (viridis) * installing *source* package ‘stringi’ ... ** this is package ‘stringi’ version ‘1.8.7’ ** package ‘stringi’ successfully unpacked and MD5 sums checked ** using staged installation checking for R_HOME... /home/hornik/tmp/R-d-gcc-valg checking for R... /home/hornik/tmp/R-d-gcc-valg/bin/R checking for endianness... little checking for cat... /usr/bin/cat 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 the compiler supports GNU C++... yes checking whether g++-14 -std=gnu++17 accepts -g... yes checking for g++-14 -std=gnu++17 option to enable C++11 features... none needed checking whether the C++ compiler supports the 'long long' type... yes checking whether the compiler implements namespaces... yes checking whether the compiler supports the Standard Template Library... yes checking whether std::map is available... yes checking for pkg-config... /usr/bin/pkg-config checking with 'pkg-config' for the system ICU4C (icu-i18n icu-uc)... 76.1 checking for ICU4C >= 61... yes checking for additional CPPFLAGS, LDFLAGS, and LIBS required... done checking whether an ICU4C-based project can be built... yes checking programmatically for sufficient U_ICU_VERSION_MAJOR_NUM... yes checking the capabilities of the ICU data library (ucnv, uloc, utrans)... yes checking the capabilities of the ICU data library (ucol)... yes checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes checking for elf.h... yes configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/uconfig_local.h config.status: creating src/install.libs.R *** stringi configure summary: ICU_FOUND=1 STRINGI_CXXSTD= STRINGI_CXXFLAGS= -fpic STRINGI_CPPFLAGS=-I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H STRINGI_LDFLAGS= -L/usr/lib/x86_64-linux-gnu STRINGI_LIBS= -licui18n -licuuc -licudata *** Compiler settings used: CXX=g++-14 -std=gnu++17 LD=g++-14 -std=gnu++17 CXXFLAGS=-g -O2 -Wall -pedantic -mtune=native CPPFLAGS=-I/usr/local/include LDFLAGS= LIBS= ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpJjKWfe/R.INSTALL311cf35de441f3/stringi/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_brkiter.cpp -o stri_brkiter.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_callables.cpp -o stri_callables.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_collator.cpp -o stri_collator.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_common.cpp -o stri_common.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_compare.cpp -o stri_compare.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_base.cpp -o stri_container_base.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_bytesearch.cpp -o stri_container_bytesearch.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_listint.cpp -o stri_container_listint.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_listraw.cpp -o stri_container_listraw.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_listutf8.cpp -o stri_container_listutf8.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_regex.cpp -o stri_container_regex.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_usearch.cpp -o stri_container_usearch.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_utf16.cpp -o stri_container_utf16.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_utf8.cpp -o stri_container_utf8.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_container_utf8_indexable.cpp -o stri_container_utf8_indexable.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_encoding_conversion.cpp -o stri_encoding_conversion.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_encoding_detection.cpp -o stri_encoding_detection.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_encoding_management.cpp -o stri_encoding_management.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_escape.cpp -o stri_escape.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_exception.cpp -o stri_exception.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_ICU_settings.cpp -o stri_ICU_settings.o In file included from stri_ICU_settings.cpp:37: uconfig_local.h:42:9: warning: "UCONFIG_USE_WINDOWS_LCID_MAPPING_API" redefined 42 | #define UCONFIG_USE_WINDOWS_LCID_MAPPING_API 0 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/unicode/platform.h:24, from /usr/include/unicode/ptypes.h:46, from stri_external.h:52, from stri_stringi.h:36, from stri_ICU_settings.cpp:33: /usr/include/unicode/uconfig.h:391:12: note: this is the location of the previous definition 391 | # define UCONFIG_USE_WINDOWS_LCID_MAPPING_API 1 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_join.cpp -o stri_join.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_length.cpp -o stri_length.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_pad.cpp -o stri_pad.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_prepare_arg.cpp -o stri_prepare_arg.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_random.cpp -o stri_random.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_reverse.cpp -o stri_reverse.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_count.cpp -o stri_search_class_count.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_detect.cpp -o stri_search_class_detect.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_extract.cpp -o stri_search_class_extract.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_locate.cpp -o stri_search_class_locate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_replace.cpp -o stri_search_class_replace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_split.cpp -o stri_search_class_split.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_startsendswith.cpp -o stri_search_class_startsendswith.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_subset.cpp -o stri_search_class_subset.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_class_trim.cpp -o stri_search_class_trim.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_common.cpp -o stri_search_common.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_count.cpp -o stri_search_coll_count.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_detect.cpp -o stri_search_coll_detect.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_extract.cpp -o stri_search_coll_extract.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_locate.cpp -o stri_search_coll_locate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_replace.cpp -o stri_search_coll_replace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_split.cpp -o stri_search_coll_split.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_startsendswith.cpp -o stri_search_coll_startsendswith.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_coll_subset.cpp -o stri_search_coll_subset.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_boundaries_count.cpp -o stri_search_boundaries_count.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_boundaries_extract.cpp -o stri_search_boundaries_extract.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_boundaries_locate.cpp -o stri_search_boundaries_locate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_boundaries_split.cpp -o stri_search_boundaries_split.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_count.cpp -o stri_search_fixed_count.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_detect.cpp -o stri_search_fixed_detect.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_extract.cpp -o stri_search_fixed_extract.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_locate.cpp -o stri_search_fixed_locate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_replace.cpp -o stri_search_fixed_replace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_split.cpp -o stri_search_fixed_split.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_subset.cpp -o stri_search_fixed_subset.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_fixed_startsendswith.cpp -o stri_search_fixed_startsendswith.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_in.cpp -o stri_search_in.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_other_split.cpp -o stri_search_other_split.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_count.cpp -o stri_search_regex_count.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_detect.cpp -o stri_search_regex_detect.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_extract.cpp -o stri_search_regex_extract.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_locate.cpp -o stri_search_regex_locate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_match.cpp -o stri_search_regex_match.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_replace.cpp -o stri_search_regex_replace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_split.cpp -o stri_search_regex_split.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_search_regex_subset.cpp -o stri_search_regex_subset.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_sort.cpp -o stri_sort.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_sprintf.cpp -o stri_sprintf.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_stats.cpp -o stri_stats.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_string8.cpp -o stri_string8.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_stringi.cpp -o stri_stringi.o In file included from stri_stringi.cpp:40: uconfig_local.h:42:9: warning: "UCONFIG_USE_WINDOWS_LCID_MAPPING_API" redefined 42 | #define UCONFIG_USE_WINDOWS_LCID_MAPPING_API 0 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/include/unicode/platform.h:24, from /usr/include/unicode/ptypes.h:46, from stri_external.h:52, from stri_stringi.h:36, from stri_stringi.cpp:33: /usr/include/unicode/uconfig.h:391:12: note: this is the location of the previous definition 391 | # define UCONFIG_USE_WINDOWS_LCID_MAPPING_API 1 | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_sub.cpp -o stri_sub.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_test.cpp -o stri_test.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_time_zone.cpp -o stri_time_zone.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_time_calendar.cpp -o stri_time_calendar.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_time_symbols.cpp -o stri_time_symbols.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_time_format.cpp -o stri_time_format.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_trans_casemap.cpp -o stri_trans_casemap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_trans_other.cpp -o stri_trans_other.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_trans_normalization.cpp -o stri_trans_normalization.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_trans_transliterate.cpp -o stri_trans_transliterate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_ucnv.cpp -o stri_ucnv.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_uloc.cpp -o stri_uloc.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_utils.cpp -o stri_utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I. -UDEBUG -DNDEBUG -DU_HAVE_ELF_H -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -fpic -g -O2 -Wall -pedantic -mtune=native -c stri_wrap.cpp -o stri_wrap.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o stringi.so stri_brkiter.o stri_callables.o stri_collator.o stri_common.o stri_compare.o stri_container_base.o stri_container_bytesearch.o stri_container_listint.o stri_container_listraw.o stri_container_listutf8.o stri_container_regex.o stri_container_usearch.o stri_container_utf16.o stri_container_utf8.o stri_container_utf8_indexable.o stri_encoding_conversion.o stri_encoding_detection.o stri_encoding_management.o stri_escape.o stri_exception.o stri_ICU_settings.o stri_join.o stri_length.o stri_pad.o stri_prepare_arg.o stri_random.o stri_reverse.o stri_search_class_count.o stri_search_class_detect.o stri_search_class_extract.o stri_search_class_locate.o stri_search_class_replace.o stri_search_class_split.o stri_search_class_startsendswith.o stri_search_class_subset.o stri_search_class_trim.o stri_search_common.o stri_search_coll_count.o stri_search_coll_detect.o stri_search_coll_extract.o stri_search_coll_locate.o stri_search_coll_replace.o stri_search_coll_split.o stri_search_coll_startsendswith.o stri_search_coll_subset.o stri_search_boundaries_count.o stri_search_boundaries_extract.o stri_search_boundaries_locate.o stri_search_boundaries_split.o stri_search_fixed_count.o stri_search_fixed_detect.o stri_search_fixed_extract.o stri_search_fixed_locate.o stri_search_fixed_replace.o stri_search_fixed_split.o stri_search_fixed_subset.o stri_search_fixed_startsendswith.o stri_search_in.o stri_search_other_split.o stri_search_regex_count.o stri_search_regex_detect.o stri_search_regex_extract.o stri_search_regex_locate.o stri_search_regex_match.o stri_search_regex_replace.o stri_search_regex_split.o stri_search_regex_subset.o stri_sort.o stri_sprintf.o stri_stats.o stri_string8.o stri_stringi.o stri_sub.o stri_test.o stri_time_zone.o stri_time_calendar.o stri_time_symbols.o stri_time_format.o stri_trans_casemap.o stri_trans_other.o stri_trans_normalization.o stri_trans_transliterate.o stri_ucnv.o stri_uloc.o stri_utils.o stri_wrap.o -L/usr/lib/x86_64-linux-gnu -licui18n -licuuc -licudata -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpJjKWfe/R.INSTALL311cf35de441f3/stringi/src' installing via 'install.libs.R' to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-stringi/00new/stringi ** 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 (stringi) begin installing package ‘data.tree’ begin installing package ‘stringr’ * installing *source* package ‘casebase’ ... ** this is package ‘casebase’ version ‘0.10.6’ ** package ‘casebase’ 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 (casebase) * installing *source* package ‘prodlim’ ... ** this is package ‘prodlim’ version ‘2025.04.28’ ** package ‘prodlim’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpJ3pMHt/R.INSTALL3161cb497dc6cf/prodlim/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c GMLE.c -o GMLE.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c IntIndex.c -o IntIndex.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c icens_prodlim.c -o icens_prodlim.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c icens_prodlim_ml.c -o icens_prodlim_ml.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c iindex.c -o iindex.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c life_table.c -o life_table.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c loo.c -o loo.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c neighborhood.c -o neighborhood.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c predict.c -o predict.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c predict_individual_survival.c -o predict_individual_survival.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prodlim.c -o prodlim.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prodlim_clustersurv.c -o prodlim_clustersurv.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prodlim_comprisk.c -o prodlim_comprisk.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prodlim_multistates.c -o prodlim_multistates.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c prodlim_surv.c -o prodlim_surv.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c sindex.c -o sindex.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c summary_prodlim.c -o summary_prodlim.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o prodlim.so GMLE.o IntIndex.o icens_prodlim.o icens_prodlim_ml.o iindex.o init.o life_table.o loo.o neighborhood.o predict.o predict_individual_survival.o prodlim.o prodlim_clustersurv.o prodlim_comprisk.o prodlim_multistates.o prodlim_surv.o sindex.o summary_prodlim.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpJ3pMHt/R.INSTALL3161cb497dc6cf/prodlim/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-prodlim/00new/prodlim/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 (prodlim) begin installing package ‘Publish’ * installing *source* package ‘stringr’ ... ** this is package ‘stringr’ version ‘1.5.1’ ** package ‘stringr’ 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 (stringr) begin installing package ‘tidyr’ * installing *source* package ‘data.tree’ ... ** this is package ‘data.tree’ version ‘1.1.0’ ** package ‘data.tree’ 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 (data.tree) * installing *source* package ‘Publish’ ... ** this is package ‘Publish’ version ‘2023.01.17’ ** package ‘Publish’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Publish) * installing *source* package ‘tidyr’ ... ** this is package ‘tidyr’ version ‘1.3.1’ ** package ‘tidyr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpFo5xea/R.INSTALL3164a34cc273c5/tidyr/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c melt.cpp -o melt.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c simplifyPieces.cpp -o simplifyPieces.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o tidyr.so cpp11.o melt.o simplifyPieces.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpFo5xea/R.INSTALL3164a34cc273c5/tidyr/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-tidyr/00new/tidyr/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 (tidyr) * installing *source* package ‘penalized’ ... ** this is package ‘penalized’ version ‘0.9-52’ ** package ‘penalized’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ using C++11 make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpnox7dP/R.INSTALL315dd53e090d5c/penalized/src' g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c coxfit.cpp -o coxfit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c lasso.cpp -o lasso.o g++-14 -std=gnu++11 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ridge.cpp -o ridge.o g++-14 -std=gnu++11 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o penalized.so RcppExports.o coxfit.o init.o lasso.o ridge.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpnox7dP/R.INSTALL315dd53e090d5c/penalized/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-penalized/00new/penalized/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 (penalized) * installing *source* package ‘ranger’ ... ** this is package ‘ranger’ version ‘0.17.0’ ** package ‘ranger’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp4O3C1B/R.INSTALL3162d02d28df93/ranger/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c AAA_check_cpp14.cpp -o AAA_check_cpp14.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Data.cpp -o Data.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DataSparse.cpp -o DataSparse.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Forest.cpp -o Forest.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ForestClassification.cpp -o ForestClassification.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ForestProbability.cpp -o ForestProbability.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ForestRegression.cpp -o ForestRegression.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ForestSurvival.cpp -o ForestSurvival.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenWrap.h:387:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ 387 | return ans; | ^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 89 | return exporter.get(); | ~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 152 | return internal::as(x, typename traits::r_type_traits::r_category()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:46:54: required from ‘Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 46 | ReferenceInputParameter(SEXP x_) : obj( as(x_) ){} | ~~~~~^~~~ RcppExports.cpp:59:94: required from here 59 | Rcpp::traits::input_parameter< Eigen::SparseMatrix& >::type sparse_x(sparse_xSEXP); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Tree.cpp -o Tree.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TreeClassification.cpp -o TreeClassification.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TreeProbability.cpp -o TreeProbability.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TreeRegression.cpp -o TreeRegression.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TreeSurvival.cpp -o TreeSurvival.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rangerCpp.cpp -o rangerCpp.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utility.cpp -o utility.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DR_BUILD -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utilityRcpp.cpp -o utilityRcpp.o utilityRcpp.cpp: In function ‘Rcpp::NumericMatrix randomObsNode(Rcpp::IntegerMatrix, Rcpp::NumericVector, Rcpp::IntegerMatrix)’: utilityRcpp.cpp:47:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 47 | for (size_t i = 0; i < groups.ncol(); ++i) { | ~~^~~~~~~~~~~~~~~ utilityRcpp.cpp:49:26: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 49 | for (size_t j = 0; j < groups.nrow(); ++j) { | ~~^~~~~~~~~~~~~~~ utilityRcpp.cpp: In function ‘void replace_class_counts(Rcpp::List&, Rcpp::NumericMatrix&)’: utilityRcpp.cpp:150:24: warning: comparison of integer expressions of different signedness: ‘size_t’ {aka ‘long unsigned int’} and ‘R_xlen_t’ {aka ‘long int’} [-Wsign-compare] 150 | for (size_t i = 0; i < class_counts_old.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o ranger.so AAA_check_cpp14.o Data.o DataSparse.o Forest.o ForestClassification.o ForestProbability.o ForestRegression.o ForestSurvival.o RcppExports.o Tree.o TreeClassification.o TreeProbability.o TreeRegression.o TreeSurvival.o rangerCpp.o utility.o utilityRcpp.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp4O3C1B/R.INSTALL3162d02d28df93/ranger/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-ranger/00new/ranger/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 (ranger) * installing *source* package ‘vroom’ ... ** this is package ‘vroom’ version ‘1.6.5’ ** package ‘vroom’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpWAMIRf/R.INSTALL315e38474a6cc5/vroom/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Iconv.cpp -o Iconv.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LocaleInfo.cpp -o LocaleInfo.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c altrep.cc -o altrep.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c delimited_index.cc -o delimited_index.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c delimited_index_connection.cc -o delimited_index_connection.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fixed_width_index_connection.cc -o fixed_width_index_connection.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gen.cc -o gen.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c grisu3.c -o grisu3.o grisu3.c: In function ‘double2diy_fp’: grisu3.c:57:23: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 57 | #define CAST_U64(d) (*(uint64_t*)&d) | ^ grisu3.c:209:24: note: in expansion of macro ‘CAST_U64’ 209 | uint64_t u64 = CAST_U64(d); | ^~~~~~~~ grisu3.c: In function ‘grisu3’: grisu3.c:57:23: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 57 | #define CAST_U64(d) (*(uint64_t*)&d) | ^ grisu3.c:296:24: note: in expansion of macro ‘CAST_U64’ 296 | uint64_t u64 = CAST_U64(v); | ^~~~~~~~ grisu3.c: In function ‘dtoa_grisu3’: grisu3.c:57:23: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 57 | #define CAST_U64(d) (*(uint64_t*)&d) | ^ grisu3.c:346:24: note: in expansion of macro ‘CAST_U64’ 346 | uint64_t u64 = CAST_U64(v); | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c guess_type.cc -o guess_type.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c iconv_file.cc -o iconv_file.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c index_collection.cc -o index_collection.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom.cc -o vroom.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_big_int.cc -o vroom_big_int.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_chr.cc -o vroom_chr.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_date.cc -o vroom_date.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_dbl.cc -o vroom_dbl.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_dttm.cc -o vroom_dttm.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_errors.cpp -o vroom_errors.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_fct.cc -o vroom_fct.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_fwf.cc -o vroom_fwf.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_int.cc -o vroom_int.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_num.cc -o vroom_num.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_rle.cc -o vroom_rle.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_time.cc -o vroom_time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -Imio/include -DWIN32_LEAN_AND_MEAN -Ispdlog/include -DFMT_HEADER_ONLY -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/progress/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vroom_write.cc -o vroom_write.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o vroom.so Iconv.o LocaleInfo.o altrep.o cpp11.o delimited_index.o delimited_index_connection.o fixed_width_index_connection.o gen.o grisu3.o guess_type.o iconv_file.o index_collection.o vroom.o vroom_big_int.o vroom_chr.o vroom_date.o vroom_dbl.o vroom_dttm.o vroom_errors.o vroom_fct.o vroom_fwf.o vroom_int.o vroom_num.o vroom_rle.o vroom_time.o vroom_write.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpWAMIRf/R.INSTALL315e38474a6cc5/vroom/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-vroom/00new/vroom/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (vroom) begin installing package ‘readr’ * installing *source* package ‘sass’ ... ** this is package ‘sass’ version ‘0.4.10’ ** package ‘sass’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpRa39IE/R.INSTALL3151955bd20c08/sass/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libsass/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c compile.c -o compile.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I./libsass/include -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o MAKEFLAGS= CC="gcc-14 -std=gnu23" CFLAGS="-g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native " CXX="g++-14 -std=gnu++17" AR="ar" LDFLAGS="-Wl,-O1" make -C libsass make[2]: Entering directory '/home/hornik/tmp/scratch/RtmpRa39IE/R.INSTALL3151955bd20c08/sass/src/libsass' gcc-14 -std=gnu23 -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -O2 -I ./include -fPIC -c -o src/cencode.o src/cencode.c g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast.o src/ast.cpp In file included from src/ast.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_values.o src/ast_values.cpp In file included from src/ast_values.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_supports.o src/ast_supports.cpp In file included from src/ast_supports.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_cmp.o src/ast_sel_cmp.cpp In file included from src/ast_selectors.hpp:7, from src/ast_sel_cmp.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_unify.o src/ast_sel_unify.cpp In file included from src/ast_sel_unify.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_super.o src/ast_sel_super.cpp In file included from src/ast_sel_super.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_sel_weave.o src/ast_sel_weave.cpp In file included from src/ast_sel_weave.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_selectors.o src/ast_selectors.cpp In file included from src/ast_selectors.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/context.o src/context.cpp In file included from src/context.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:18: src/operation.hpp:206:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SelectorCombinator*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 206 | T operator()(SelectorCombinator* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ In file included from src/expand.hpp:7, from src/context.cpp:17: src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:194:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameters*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 194 | T operator()(Parameters* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:193:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameter*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 193 | T operator()(Parameter* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:183:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsCondition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 183 | T operator()(SupportsCondition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:176:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Color*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 176 | T operator()(Color* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:173:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Error*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 173 | T operator()(Custom_Error* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:172:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Warning*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 172 | T operator()(Custom_Warning* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:168:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Function*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 168 | T operator()(Function* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:163:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Mixin_Call*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 163 | T operator()(Mixin_Call* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:162:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Definition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 162 | T operator()(Definition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:161:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::ExtendRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 161 | T operator()(ExtendRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:160:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Content*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 160 | T operator()(Content* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:150:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import_Stub*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 150 | T operator()(Import_Stub* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:149:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 149 | T operator()(Import* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:147:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Declaration*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 147 | T operator()(Declaration* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:146:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Keyframe_Rule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 146 | T operator()(Keyframe_Rule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:145:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 145 | T operator()(AtRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:144:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRootRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 144 | T operator()(AtRootRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:143:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaQuery*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 143 | T operator()(CssMediaQuery* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:142:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 142 | T operator()(CssMediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:141:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::MediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 141 | T operator()(MediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:140:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 140 | T operator()(SupportsRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:139:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Trace*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 139 | T operator()(Trace* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:138:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Bubble*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 138 | T operator()(Bubble* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:137:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::StyleRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 137 | T operator()(StyleRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:134:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AST_Node*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 134 | T operator()(AST_Node* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/constants.o src/constants.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_utils.o src/fn_utils.cpp In file included from src/parser.hpp:11, from src/fn_utils.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_miscs.o src/fn_miscs.cpp In file included from src/fn_miscs.cpp:1: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:18: src/operation.hpp:206:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SelectorCombinator*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 206 | T operator()(SelectorCombinator* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ In file included from src/expand.hpp:7, from src/fn_miscs.cpp:2: src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:194:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameters*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 194 | T operator()(Parameters* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:193:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameter*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 193 | T operator()(Parameter* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:183:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsCondition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 183 | T operator()(SupportsCondition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:176:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Color*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 176 | T operator()(Color* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:173:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Error*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 173 | T operator()(Custom_Error* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:172:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Warning*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 172 | T operator()(Custom_Warning* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:168:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Function*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 168 | T operator()(Function* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:163:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Mixin_Call*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 163 | T operator()(Mixin_Call* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:162:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Definition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 162 | T operator()(Definition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:161:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::ExtendRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 161 | T operator()(ExtendRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:160:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Content*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 160 | T operator()(Content* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:150:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import_Stub*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 150 | T operator()(Import_Stub* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:149:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 149 | T operator()(Import* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:147:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Declaration*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 147 | T operator()(Declaration* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:146:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Keyframe_Rule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 146 | T operator()(Keyframe_Rule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:145:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 145 | T operator()(AtRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:144:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRootRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 144 | T operator()(AtRootRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:143:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaQuery*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 143 | T operator()(CssMediaQuery* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:142:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 142 | T operator()(CssMediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:141:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::MediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 141 | T operator()(MediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:140:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 140 | T operator()(SupportsRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:139:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Trace*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 139 | T operator()(Trace* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:138:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Bubble*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 138 | T operator()(Bubble* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:137:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::StyleRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 137 | T operator()(StyleRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:134:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AST_Node*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 134 | T operator()(AST_Node* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_maps.o src/fn_maps.cpp In file included from src/values.hpp:4, from src/operators.hpp:4, from src/fn_maps.cpp:1: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_lists.o src/fn_lists.cpp In file included from src/values.hpp:4, from src/operators.hpp:4, from src/fn_lists.cpp:6: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/operation.hpp:15, from src/listize.hpp:9, from src/fn_lists.cpp:5: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_colors.o src/fn_colors.cpp In file included from src/fn_colors.cpp:6: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_numbers.o src/fn_numbers.cpp In file included from src/fn_numbers.cpp:15: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_strings.o src/fn_strings.cpp In file included from src/fn_strings.cpp:6: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/fn_selectors.o src/fn_selectors.cpp In file included from src/parser.hpp:11, from src/fn_selectors.cpp:3: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/color_maps.o src/color_maps.cpp In file included from src/color_maps.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/environment.o src/environment.cpp In file included from src/environment.cpp:2: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast_fwd_decl.o src/ast_fwd_decl.cpp In file included from src/ast_fwd_decl.cpp:1: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/bind.o src/bind.cpp In file included from src/bind.cpp:3: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/environment.hpp:11, from src/bind.hpp:6, from src/bind.cpp:2: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:18: src/operation.hpp:206:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SelectorCombinator*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 206 | T operator()(SelectorCombinator* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ In file included from src/expand.hpp:7, from src/bind.cpp:6: src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:194:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameters*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 194 | T operator()(Parameters* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:193:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameter*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 193 | T operator()(Parameter* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:183:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsCondition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 183 | T operator()(SupportsCondition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:176:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Color*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 176 | T operator()(Color* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:173:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Error*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 173 | T operator()(Custom_Error* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:172:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Warning*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 172 | T operator()(Custom_Warning* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:168:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Function*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 168 | T operator()(Function* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:163:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Mixin_Call*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 163 | T operator()(Mixin_Call* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:162:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Definition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 162 | T operator()(Definition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:161:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::ExtendRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 161 | T operator()(ExtendRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:160:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Content*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 160 | T operator()(Content* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:150:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import_Stub*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 150 | T operator()(Import_Stub* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:149:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 149 | T operator()(Import* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:147:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Declaration*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 147 | T operator()(Declaration* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:146:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Keyframe_Rule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 146 | T operator()(Keyframe_Rule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:145:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 145 | T operator()(AtRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:144:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRootRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 144 | T operator()(AtRootRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:143:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaQuery*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 143 | T operator()(CssMediaQuery* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:142:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 142 | T operator()(CssMediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:141:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::MediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 141 | T operator()(MediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:140:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 140 | T operator()(SupportsRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:139:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Trace*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 139 | T operator()(Trace* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:138:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Bubble*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 138 | T operator()(Bubble* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:137:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::StyleRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 137 | T operator()(StyleRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:134:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AST_Node*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 134 | T operator()(AST_Node* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/file.o src/file.cpp In file included from src/context.hpp:7, from src/file.cpp:21: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/util.o src/util.cpp In file included from src/util.cpp:3: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/util_string.o src/util_string.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/json.o src/json.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/units.o src/units.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/values.o src/values.cpp In file included from src/values.hpp:4, from src/values.cpp:6: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/plugins.o src/plugins.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/source.o src/source.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/position.o src/position.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/lexer.o src/lexer.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/parser.o src/parser.cpp In file included from src/parser.hpp:11, from src/parser.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/parser_selectors.o src/parser_selectors.cpp In file included from src/parser.hpp:11, from src/parser_selectors.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/prelexer.o src/prelexer.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/eval.o src/eval.cpp In file included from src/eval.hpp:7, from src/eval.cpp:13: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:18: src/operation.hpp:206:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SelectorCombinator*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 206 | T operator()(SelectorCombinator* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:194:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameters*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 194 | T operator()(Parameters* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:193:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameter*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 193 | T operator()(Parameter* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:183:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsCondition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 183 | T operator()(SupportsCondition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:176:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Color*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 176 | T operator()(Color* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:173:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Error*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 173 | T operator()(Custom_Error* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:172:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Warning*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 172 | T operator()(Custom_Warning* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:168:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Function*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 168 | T operator()(Function* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:163:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Mixin_Call*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 163 | T operator()(Mixin_Call* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:162:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Definition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 162 | T operator()(Definition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:161:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::ExtendRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 161 | T operator()(ExtendRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:160:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Content*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 160 | T operator()(Content* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:150:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import_Stub*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 150 | T operator()(Import_Stub* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:149:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 149 | T operator()(Import* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:147:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Declaration*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 147 | T operator()(Declaration* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:146:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Keyframe_Rule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 146 | T operator()(Keyframe_Rule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:145:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 145 | T operator()(AtRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:144:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRootRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 144 | T operator()(AtRootRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:143:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaQuery*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 143 | T operator()(CssMediaQuery* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:142:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 142 | T operator()(CssMediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:141:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::MediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 141 | T operator()(MediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:140:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 140 | T operator()(SupportsRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:139:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Trace*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 139 | T operator()(Trace* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:138:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Bubble*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 138 | T operator()(Bubble* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:137:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::StyleRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 137 | T operator()(StyleRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:134:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AST_Node*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 134 | T operator()(AST_Node* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/eval_selectors.o src/eval_selectors.cpp In file included from src/expand.hpp:6, from src/eval_selectors.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:18: src/operation.hpp:206:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SelectorCombinator*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 206 | T operator()(SelectorCombinator* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ In file included from src/expand.hpp:7: src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:194:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameters*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 194 | T operator()(Parameters* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:193:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameter*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 193 | T operator()(Parameter* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:183:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsCondition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 183 | T operator()(SupportsCondition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:176:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Color*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 176 | T operator()(Color* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:173:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Error*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 173 | T operator()(Custom_Error* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:172:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Warning*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 172 | T operator()(Custom_Warning* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:168:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Function*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 168 | T operator()(Function* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:163:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Mixin_Call*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 163 | T operator()(Mixin_Call* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:162:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Definition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 162 | T operator()(Definition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:161:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::ExtendRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 161 | T operator()(ExtendRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:160:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Content*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 160 | T operator()(Content* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:150:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import_Stub*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 150 | T operator()(Import_Stub* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:149:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 149 | T operator()(Import* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:147:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Declaration*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 147 | T operator()(Declaration* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:146:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Keyframe_Rule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 146 | T operator()(Keyframe_Rule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:145:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 145 | T operator()(AtRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:144:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRootRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 144 | T operator()(AtRootRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:143:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaQuery*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 143 | T operator()(CssMediaQuery* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:142:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 142 | T operator()(CssMediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:141:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::MediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 141 | T operator()(MediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:140:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 140 | T operator()(SupportsRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:139:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Trace*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 139 | T operator()(Trace* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:138:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Bubble*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 138 | T operator()(Bubble* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:137:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::StyleRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 137 | T operator()(StyleRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:134:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AST_Node*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 134 | T operator()(AST_Node* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/expand.o src/expand.cpp In file included from src/expand.cpp:8: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:18: src/operation.hpp:206:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SelectorCombinator*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 206 | T operator()(SelectorCombinator* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ In file included from src/expand.hpp:7, from src/expand.cpp:9: src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:194:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameters*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 194 | T operator()(Parameters* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:193:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameter*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 193 | T operator()(Parameter* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:183:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsCondition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 183 | T operator()(SupportsCondition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:176:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Color*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 176 | T operator()(Color* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:173:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Error*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 173 | T operator()(Custom_Error* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:172:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Warning*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 172 | T operator()(Custom_Warning* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:168:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Function*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 168 | T operator()(Function* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:163:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Mixin_Call*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 163 | T operator()(Mixin_Call* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:162:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Definition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 162 | T operator()(Definition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:161:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::ExtendRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 161 | T operator()(ExtendRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:160:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Content*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 160 | T operator()(Content* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:150:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import_Stub*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 150 | T operator()(Import_Stub* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:149:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 149 | T operator()(Import* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:147:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Declaration*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 147 | T operator()(Declaration* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:146:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Keyframe_Rule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 146 | T operator()(Keyframe_Rule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:145:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 145 | T operator()(AtRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:144:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRootRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 144 | T operator()(AtRootRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:143:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaQuery*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 143 | T operator()(CssMediaQuery* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:142:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 142 | T operator()(CssMediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:141:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::MediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 141 | T operator()(MediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:140:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 140 | T operator()(SupportsRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:139:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Trace*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 139 | T operator()(Trace* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:138:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Bubble*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 138 | T operator()(Bubble* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:137:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::StyleRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 137 | T operator()(StyleRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:134:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AST_Node*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 134 | T operator()(AST_Node* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/listize.o src/listize.cpp In file included from src/context.hpp:7, from src/listize.cpp:10: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/operation.hpp:15, from src/listize.hpp:9, from src/listize.cpp:9: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/cssize.o src/cssize.cpp In file included from src/cssize.hpp:4, from src/cssize.cpp:9: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/extender.o src/extender.cpp In file included from src/extender.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/extension.o src/extension.cpp In file included from src/extension.cpp:7: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/stylesheet.o src/stylesheet.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/output.o src/output.cpp In file included from src/output.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/inspect.o src/inspect.cpp In file included from src/inspect.cpp:12: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/emitter.o src/emitter.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/check_nesting.o src/check_nesting.cpp In file included from src/check_nesting.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/remove_placeholders.o src/remove_placeholders.cpp In file included from src/remove_placeholders.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/sass.o src/sass.cpp In file included from src/context.hpp:7, from src/sass.cpp:13: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_values.o src/sass_values.cpp In file included from src/eval.hpp:7, from src/sass_values.cpp:8: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:18: src/operation.hpp:206:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SelectorCombinator*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 206 | T operator()(SelectorCombinator* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:194:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameters*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 194 | T operator()(Parameters* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:193:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Parameter*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 193 | T operator()(Parameter* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:183:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsCondition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 183 | T operator()(SupportsCondition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:176:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Color*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 176 | T operator()(Color* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:173:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Error*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 173 | T operator()(Custom_Error* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:172:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Custom_Warning*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 172 | T operator()(Custom_Warning* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:168:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Function*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 168 | T operator()(Function* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:163:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Mixin_Call*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 163 | T operator()(Mixin_Call* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:162:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Definition*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 162 | T operator()(Definition* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:161:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::ExtendRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 161 | T operator()(ExtendRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:160:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Content*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 160 | T operator()(Content* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:150:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import_Stub*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 150 | T operator()(Import_Stub* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:149:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Import*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 149 | T operator()(Import* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:147:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Declaration*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 147 | T operator()(Declaration* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:146:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Keyframe_Rule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 146 | T operator()(Keyframe_Rule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:145:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 145 | T operator()(AtRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:144:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AtRootRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 144 | T operator()(AtRootRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:143:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaQuery*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 143 | T operator()(CssMediaQuery* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:142:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::CssMediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 142 | T operator()(CssMediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:141:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::MediaRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 141 | T operator()(MediaRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:140:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::SupportsRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 140 | T operator()(SupportsRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:139:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Trace*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 139 | T operator()(Trace* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:138:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::Bubble*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 138 | T operator()(Bubble* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:137:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::StyleRule*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 137 | T operator()(StyleRule* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ src/operation.hpp:134:7: warning: ‘T Sass::Operation_CRTP::operator()(Sass::AST_Node*) [with T = Sass::Expression*; D = Sass::Eval]’ was hidden [-Woverloaded-virtual=] 134 | T operator()(AST_Node* x) { return static_cast(this)->fallback(x); } | ^~~~~~~~ src/eval.hpp:96:17: note: by ‘Sass::Eval::operator()’ 96 | Expression* operator()(Parent_Reference*); | ^~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_context.o src/sass_context.cpp In file included from src/sass_context.cpp:4: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/sass_functions.o src/sass_functions.cpp In file included from src/context.hpp:7, from src/sass_functions.cpp:7: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/sass2scss.o src/sass2scss.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/backtrace.o src/backtrace.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/operators.o src/operators.cpp In file included from src/values.hpp:4, from src/operators.hpp:4, from src/operators.cpp:6: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/ast2c.o src/ast2c.cpp In file included from src/ast2c.cpp:6: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/operation.hpp:15, from src/ast2c.hpp:5, from src/ast2c.cpp:5: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/c2ast.o src/c2ast.cpp In file included from src/c2ast.cpp:1: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/to_value.o src/to_value.cpp In file included from src/to_value.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/source_map.o src/source_map.cpp In file included from src/source_map.cpp:10: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/error_handling.o src/error_handling.cpp In file included from src/error_handling.cpp:5: src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: note: by ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:167:17: note: by ‘bool Sass::Expression::operator!=(const Sass::Expression&) const’ 167 | inline bool operator!=(const Expression& rhs) const { return !(rhs == *this); } | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:908:10: note: by ‘bool Sass::CssMediaRule::operator==(const Sass::CssMediaRule&) const’ 908 | bool operator== (const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:911:10: note: by ‘bool Sass::CssMediaRule::operator!=(const Sass::CssMediaRule&) const’ 911 | bool operator!=(const CssMediaRule& rhs) const { | ^~~~~~~~ src/ast.hpp:90:18: warning: ‘virtual bool Sass::AST_Node::operator==(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 90 | virtual bool operator== (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:939:10: note: by ‘bool Sass::CssMediaQuery::operator==(const Sass::CssMediaQuery&) const’ 939 | bool operator== (const CssMediaQuery& rhs) const; | ^~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast.hpp:940:10: note: by ‘bool Sass::CssMediaQuery::operator!=(const Sass::CssMediaQuery&) const’ 940 | bool operator!=(const CssMediaQuery& rhs) const { | ^~~~~~~~ src/ast.hpp:165:18: warning: ‘virtual bool Sass::Expression::operator==(const Sass::Expression&) const’ was hidden [-Woverloaded-virtual=] 165 | virtual bool operator== (const Expression& rhs) const { return false; } | ^~~~~~~~ In file included from src/ast.hpp:14: src/ast_def_macros.hpp:105:16: note: by ‘virtual bool Sass::Selector::operator==(const Sass::Selector&) const’ 105 | virtual bool operator==(const klass& rhs) const = 0; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast.hpp:96:18: warning: ‘virtual bool Sass::AST_Node::operator!=(const Sass::AST_Node&) const’ was hidden [-Woverloaded-virtual=] 96 | virtual bool operator!= (const AST_Node& rhs) const { | ^~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from src/ast.hpp:1055: src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::PlaceholderSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::PlaceholderSelector::operator!=(const Sass::PlaceholderSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:157:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 157 | ATTACH_CMP_OPERATIONS(PlaceholderSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::TypeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::TypeSelector::operator!=(const Sass::TypeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:174:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 174 | ATTACH_CMP_OPERATIONS(TypeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::ClassSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ClassSelector::operator!=(const Sass::ClassSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:188:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 188 | ATTACH_CMP_OPERATIONS(ClassSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::IDSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::IDSelector::operator!=(const Sass::IDSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:204:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 204 | ATTACH_CMP_OPERATIONS(IDSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:137:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::CompoundSelector&) const’ was hidden [-Woverloaded-virtual=] 137 | virtual bool operator==(const CompoundSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:136:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::ComplexSelector&) const’ was hidden [-Woverloaded-virtual=] 136 | virtual bool operator==(const ComplexSelector& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:135:18: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::SelectorList&) const’ was hidden [-Woverloaded-virtual=] 135 | virtual bool operator==(const SelectorList& rhs) const; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_selectors.hpp:133:10: warning: ‘virtual bool Sass::SimpleSelector::operator==(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 133 | bool operator==(const Selector& rhs) const final override; | ^~~~~~~~ src/ast_def_macros.hpp:109:16: note: by ‘Sass::AttributeSelector::operator==’ 109 | virtual bool operator==(const klass& rhs) const; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SimpleSelector::operator!=(const Sass::SimpleSelector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:139:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 139 | ATTACH_VIRTUAL_CMP_OPERATIONS(SimpleSelector); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::AttributeSelector::operator!=(const Sass::AttributeSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:223:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 223 | ATTACH_CMP_OPERATIONS(AttributeSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::ComplexSelector::operator!=(const Sass::ComplexSelector&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:310:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 310 | ATTACH_CMP_OPERATIONS(ComplexSelector) | ^~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::Selector::operator!=(const Sass::Selector&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:56:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 56 | ATTACH_VIRTUAL_CMP_OPERATIONS(Selector) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: note: by ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:106:16: warning: ‘virtual bool Sass::SelectorComponent::operator!=(const Sass::SelectorComponent&) const’ was hidden [-Woverloaded-virtual=] 106 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:349:5: note: in expansion of macro ‘ATTACH_VIRTUAL_CMP_OPERATIONS’ 349 | ATTACH_VIRTUAL_CMP_OPERATIONS(SelectorComponent); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ src/ast_def_macros.hpp:110:16: note: by ‘virtual bool Sass::SelectorCombinator::operator!=(const Sass::SelectorCombinator&) const’ 110 | virtual bool operator!=(const klass& rhs) const { return !(*this == rhs); }; \ | ^~~~~~~~ src/ast_selectors.hpp:407:5: note: in expansion of macro ‘ATTACH_CMP_OPERATIONS’ 407 | ATTACH_CMP_OPERATIONS(SelectorCombinator) | ^~~~~~~~~~~~~~~~~~~~~ g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/memory/allocator.o src/memory/allocator.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/memory/shared_ptr.o src/memory/shared_ptr.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/utf8_string.o src/utf8_string.cpp g++-14 -std=gnu++17 -Wall -O2 -std=c++11 -I ./include -fPIC -c -o src/base64vlq.o src/base64vlq.cpp mkdir lib ar rcvs lib/libsass.a src/cencode.o src/ast.o src/ast_values.o src/ast_supports.o src/ast_sel_cmp.o src/ast_sel_unify.o src/ast_sel_super.o src/ast_sel_weave.o src/ast_selectors.o src/context.o src/constants.o src/fn_utils.o src/fn_miscs.o src/fn_maps.o src/fn_lists.o src/fn_colors.o src/fn_numbers.o src/fn_strings.o src/fn_selectors.o src/color_maps.o src/environment.o src/ast_fwd_decl.o src/bind.o src/file.o src/util.o src/util_string.o src/json.o src/units.o src/values.o src/plugins.o src/source.o src/position.o src/lexer.o src/parser.o src/parser_selectors.o src/prelexer.o src/eval.o src/eval_selectors.o src/expand.o src/listize.o src/cssize.o src/extender.o src/extension.o src/stylesheet.o src/output.o src/inspect.o src/emitter.o src/check_nesting.o src/remove_placeholders.o src/sass.o src/sass_values.o src/sass_context.o src/sass_functions.o src/sass2scss.o src/backtrace.o src/operators.o src/ast2c.o src/c2ast.o src/to_value.o src/source_map.o src/error_handling.o src/memory/allocator.o src/memory/shared_ptr.o src/utf8_string.o src/base64vlq.o a - src/cencode.o a - src/ast.o a - src/ast_values.o a - src/ast_supports.o a - src/ast_sel_cmp.o a - src/ast_sel_unify.o a - src/ast_sel_super.o a - src/ast_sel_weave.o a - src/ast_selectors.o a - src/context.o a - src/constants.o a - src/fn_utils.o a - src/fn_miscs.o a - src/fn_maps.o a - src/fn_lists.o a - src/fn_colors.o a - src/fn_numbers.o a - src/fn_strings.o a - src/fn_selectors.o a - src/color_maps.o a - src/environment.o a - src/ast_fwd_decl.o a - src/bind.o a - src/file.o a - src/util.o a - src/util_string.o a - src/json.o a - src/units.o a - src/values.o a - src/plugins.o a - src/source.o a - src/position.o a - src/lexer.o a - src/parser.o a - src/parser_selectors.o a - src/prelexer.o a - src/eval.o a - src/eval_selectors.o a - src/expand.o a - src/listize.o a - src/cssize.o a - src/extender.o a - src/extension.o a - src/stylesheet.o a - src/output.o a - src/inspect.o a - src/emitter.o a - src/check_nesting.o a - src/remove_placeholders.o a - src/sass.o a - src/sass_values.o a - src/sass_context.o a - src/sass_functions.o a - src/sass2scss.o a - src/backtrace.o a - src/operators.o a - src/ast2c.o a - src/c2ast.o a - src/to_value.o a - src/source_map.o a - src/error_handling.o a - src/memory/allocator.o a - src/memory/shared_ptr.o a - src/utf8_string.o a - src/base64vlq.o make[2]: Leaving directory '/home/hornik/tmp/scratch/RtmpRa39IE/R.INSTALL3151955bd20c08/sass/src/libsass' g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o sass.so compile.o init.o ./libsass/lib/libsass.a -L/home/hornik/tmp/R-d-gcc-valg/lib -lR rm -f libsass/lib/libsass.a make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpRa39IE/R.INSTALL3151955bd20c08/sass/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-sass/00new/sass/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (sass) begin installing package ‘bslib’ * installing *source* package ‘glmnet’ ... ** this is package ‘glmnet’ version ‘4.1-8’ ** package ‘glmnet’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpmRkpUB/R.INSTALL3162d246790195/glmnet/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:26:87: required from here 26 | Rcpp::traits::input_parameter< const Eigen::Map >::type vp(vpSEXP); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:26:87: required from here 26 | Rcpp::traits::input_parameter< const Eigen::Map >::type vp(vpSEXP); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:26:87: required from here 26 | Rcpp::traits::input_parameter< const Eigen::Map >::type vp(vpSEXP); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RcppExports.cpp:47:170: required from here 47 | rcpp_result_gen = Rcpp::wrap(elnet_exp(ka, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, ulam, thr, isd, intr, maxit, pb, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr)); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ RcppExports.cpp:47:170: required from here 47 | rcpp_result_gen = Rcpp::wrap(elnet_exp(ka, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, ulam, thr, isd, intr, maxit, pb, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr)); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from ‘class Rcpp::ConstInputParameter > >’ 64 | T obj ; | ^~~ RcppExports.cpp:59:98: required from here 59 | Rcpp::traits::input_parameter< const Eigen::Map > >::type x(xSEXP); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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; | ^~~~~~~~~~~~~~~~ gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c coxnet5dpclean.f -o coxnet5dpclean.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c elnet_exp.cpp -o elnet_exp.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here 555 | clt_slice(i, k) = cl(i,j); | ~~~~~~~~~^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here 555 | clt_slice(i, k) = cl(i,j); | ~~~~~~~~~^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here 555 | clt_slice(i, k) = cl(i,j); | ~~~~~~~~~^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here 400 | e.array() = (-g).array().exp(); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here 409 | p.array() = 1./(1. + ea0 * e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here 409 | p.array() = 1./(1. + ea0 * e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here 409 | p.array() = 1./(1. + ea0 * e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ elnet_exp.cpp:44:5: required from here 44 | ) | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:98:5: required from here 98 | ) | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:27: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 433 | cl.col(j) *= xs(j); | ~~~~~~^~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 437 | if (flmin >= 1.0) vlam = ulam / ys; | ~~~~~^~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 437 | if (flmin >= 1.0) vlam = ulam / ys; | ~~~~~^~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:30: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 293 | ww(i) = y.row(i).sum(); | ~~~~~^~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:33: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 243 | ww.array() = w.array().max(0.0); | ~~~~~~~^~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 243 | ww.array() = w.array().max(0.0); | ~~~~~~~~~~~~~^~~~~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 243 | ww.array() = w.array().max(0.0); | ~~~~~~~~~~~~~^~~~~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/base.hpp:12:36: required from ‘void glmnetpp::ElnetDriverBase::normalize_penalty(VType&&) const [with VType = Eigen::Matrix&]’ 12 | vq.array() = vq.array().max(0.0); | ~~~~~~~~~~~~~~^~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:402:36: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 402 | this->normalize_penalty(vq); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:34: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ 16 | auto x_j_rest = X.col(j).tail(X.rows()-1); | ~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 413 | chkvars_t::eval(x, ju); | ~~~~~~~~~~~~~~~^~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:42: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ 16 | auto x_j_rest = X.col(j).tail(X.rows()-1); | ~~~~~~~~~~~~~^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 413 | chkvars_t::eval(x, ju); | ~~~~~~~~~~~~~~~^~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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 > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:36: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ 17 | ju[j] = (x_j_rest.array() != t).any(); | ~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 413 | chkvars_t::eval(x, ju); | ~~~~~~~~~~~~~~~^~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:33: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 37 | vec_t v = w.array().sqrt().matrix(); | ~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:42: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 37 | vec_t v = w.array().sqrt().matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:52:26: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 52 | x_j.array() *= v.array(); | ~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:56: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 74 | x_j.array() = v.array() * (x_j.array() - xm(j)); | ~~~~~~~~~~~~~^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:41: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 74 | x_j.array() = v.array() * (x_j.array() - xm(j)); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:48: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 88 | y.array() = v.array() * (y.array() - ym); | ~~~~~~~~~~~^~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:35: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 88 | y.array() = v.array() * (y.array() - ym); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:430:16: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 430 | cl /= ys; | ~~~^~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:31: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 433 | cl.col(j) *= xs(j); | ~~~~~~~~~~^~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:29: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 338 | g(j) = x.col(j).dot( | ~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 422 | standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 339 | (y.array() * w.array()).matrix() ) / xs(j); | ~~~~~~~~~~~^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 422 | standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:55: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 339 | (y.array() * w.array()).matrix() ) / xs(j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 422 | standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:44: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 270 | ys = std::sqrt(y.array().square().matrix().dot(w)); | ~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:53: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 270 | ys = std::sqrt(y.array().square().matrix().dot(w)); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:276:41: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 276 | xv(j) = x_j.cwiseProduct(x_j).dot(w); | ~~~~~~~~~~~~~~~~^~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 294 | if (ww(i)) y.row(i) /= ww(i); | ~~~~~~~~~^~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 294 | if (ww(i)) y.row(i) /= ww(i); | ~~~~~~~~~^~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:48: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ 523 | xv(j) = x.col(j).array().square().matrix().dot(w); | ~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 300 | standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:57: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ 523 | xv(j) = x.col(j).array().square().matrix().dot(w); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 300 | standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:399:49: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ 399 | auto ysq = y.col(j).cwiseProduct(y.col(j)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 548 | standardize_t::eval(x, y, w, isd, jsd, intr, ju, xm, xs, ym, ys, xv, ys0); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 108 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ 17 | ju[j] = (x_j_rest.array() != t).any(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 413 | chkvars_t::eval(x, ju); | ~~~~~~~~~~~~~~~^~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from ‘bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 108 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from ‘static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]’ 17 | ju[j] = (x_j_rest.array() != t).any(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 413 | chkvars_t::eval(x, ju); | ~~~~~~~~~~~~~~~^~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 53 | xv(j) = x_j.squaredNorm(); | ~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator > >’ 282 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ 438 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator >, -1, 1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> >’ 1034 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 338 | g(j) = x.col(j).dot( | ~~~~~~~~~~~~^ 339 | (y.array() * w.array()).matrix() ) / xs(j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 422 | standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from ‘static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 338 | g(j) = x.col(j).dot( | ~~~~~~~~~~~~^ 339 | (y.array() * w.array()).matrix() ) / xs(j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 422 | standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:37: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 293 | ww(i) = y.row(i).sum(); | ~~~~~~~~~~~~^~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 125 | if (ju[j]) g(j) = x.col(j).dot(y); | ~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 422 | standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 46 | ys = y.norm(); | ~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 87 | ym = y.dot(w); | ~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:343:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from ‘auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 149 | return elnet_point_t( | ^~~~~~~~~~~~~~ 150 | ssp.thr, ssp.maxit, ssp.nx, ssp.nlp, ssp.ia, pack.g, ssp.x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | sp.xv, ssp.vp, ssp.cl, ssp.ju); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:344:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from ‘auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 149 | return elnet_point_t( | ^~~~~~~~~~~~~~ 150 | ssp.thr, ssp.maxit, ssp.nx, ssp.nlp, ssp.ia, pack.g, ssp.x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 151 | sp.xv, ssp.vp, ssp.cl, ssp.ju); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 270 | ys = std::sqrt(y.array().square().matrix().dot(w)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:96:31: required from ‘struct glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>’ 96 | Eigen::Map X_; // data matrix (sparse) | ^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> > >’ 16 | struct ElnetPointCRTPBase: | ^~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:159:16: required from ‘auto glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ 159 | return elnet_point_t( | ^~~~~~~~~~~~~~ 160 | ssp.thr, ssp.maxit, ssp.nx, ssp.nlp, ssp.ia, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | pack.g, pack.w, ssp.x, | ~~~~~~~~~~~~~~~~~~~~~~ 162 | pack.xm, pack.xs, sp.xv, ssp.vp, ssp.cl, ssp.ju); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 173 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 174 | parm, ju, vq, cl, g, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 175 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ 523 | xv(j) = x.col(j).array().square().matrix().dot(w); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 300 | standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ 525 | auto mean_sq = w.dot(x.col(j)); | ~~~~~^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 300 | standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]’ 473 | auto vc = w.dot(x.col(j).array().square().matrix()) | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 303 | standardize_t::eval(x, ww, ju, isd, intr, xm, xs); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ 400 | auto z = ysq.dot(w); | ~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 548 | standardize_t::eval(x, y, w, isd, jsd, intr, ju, xm, xs, ym, ys, xv, ys0); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 53 | xv(j) = x_j.squaredNorm(); | ~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:296:29: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 296 | auto sw = ww.sum(); | ~~~~~~^~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:176:22: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ 176 | a.col(m), [&](int_t k) { return elnet_point.beta(k); } ); | ~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 71 | state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:34: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ 180 | int_t me = (a.col(m).head(nin).array() != 0.0).array().count(); | ~~~~~~~~~~~~~^~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 71 | state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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 > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:45: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ 180 | int_t me = (a.col(m).head(nin).array() != 0.0).array().count(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 71 | state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:29: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 200 | g.array() = (q.array()/(1.0-q.array())).log(); | ~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:36: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 200 | g.array() = (q.array()/(1.0-q.array())).log(); | ~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:31: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 200 | g.array() = (q.array()/(1.0-q.array())).log(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:52: required from ‘void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 200 | g.array() = (q.array()/(1.0-q.array())).log(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:16: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 406 | g.array() = q.array().log(); | ~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:28: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 406 | g.array() = q.array().log(); | ~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:34: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 406 | g.array() = q.array().log(); | ~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:27: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 408 | g.row(i).array() -= g.row(i).sum()/nc; | ~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 408 | g.row(i).array() -= g.row(i).sum()/nc; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from ‘Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Scalar = double]’ 34 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from ‘void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 408 | g.row(i).array() -= g.row(i).sum()/nc; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:47: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 70 | t_.array() = this->orig_weight().array() * this->y().array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:50: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 70 | t_.array() = this->orig_weight().array() * this->y().array(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:82:44: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 82 | [&]() { this->resid() = t_ - this->weight(); }, | ~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:88:40: required from ‘glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 88 | f_.array() = this->intercept() + this->offset().array(); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:86:50: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 86 | xm_ = this->y_mean() * xb_; | ~~~~~~~~~~~~~~~^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:58: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 108 | this->resid() = qy_ - this->weight() * (1.0-uu_); | ~~~~~~~~~~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseNullaryOp, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseNullaryOp, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseNullaryOp, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:41: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 108 | this->resid() = qy_ - this->weight() * (1.0-uu_); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 225 | base_t::process_path_fit(pack.sub_pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:86: required from ‘auto glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::prediction() const [with ValueType = double; IndexType = int; BoolType = bool]’ 185 | GLMNETPP_STRONG_INLINE auto prediction() const { return (t_.array() + uu_).matrix(); } | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_base.hpp:140:40: required from ‘void glmnetpp::ElnetPathPoissonBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 140 | pack.g = elnet_point.prediction(); | ~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 225 | base_t::process_path_fit(pack.sub_pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 77 | self().process_path_fit(pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 53 | xv(j) = x_j.squaredNorm(); | ~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 30 | self().partial_fit(pack); | ~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 97 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 98 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:22: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 87 | return X_.col(k).cwiseProduct(w_).dot( | ~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 94 | return std::abs(compute_grad(k)); | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 62 | base_t::construct([this](index_t k) { return compute_abs_grad(k); }); | ^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 180 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 181 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:38: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 87 | return X_.col(k).cwiseProduct(w_).dot( | ~~~~~~~~~~~~~~~~~~~~~~^~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 94 | return std::abs(compute_grad(k)); | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 62 | base_t::construct([this](index_t k) { return compute_abs_grad(k); }); | ^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 180 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 181 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:29: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 88 | (y_.array() + o_).matrix() | ~~~~~~~~~~~~^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 180 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 181 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:41: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 88 | (y_.array() + o_).matrix() | ~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 180 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 181 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:47: required from ‘static typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::compute_xv(const XType&, const WType&) [with XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase]’ 137 | return w.dot(x.array().square().matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:71:52: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ 71 | [&](index_t j) { return compute_xv(X_.col(j), this->weight()); }, | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:336:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:22: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ 400 | e.array() = (-g).array().exp(); | ~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:31: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ 400 | e.array() = (-g).array().exp(); | ~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:37: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ 400 | e.array() = (-g).array().exp(); | ~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:35: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ 404 | w.array() = q.array() * p.array() * (1.0 - p.array()); | ~~~~~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:54: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ 404 | w.array() = q.array() * p.array() * (1.0 - p.array()); | ~~~~~^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:47: required from ‘static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]’ 404 | w.array() = q.array() * p.array() * (1.0 - p.array()); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:50: required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’ 352 | r.array() = w.array() * (y_-q_).array(); | ~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ 70 | this->construct( | ~~~~~~~~~~~~~~~^ 71 | [&](index_t j) { return compute_xv(X_.col(j), this->weight()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 72 | [&](index_t j) { return this->compute_grad(j); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:59: required from ‘void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]’ 355 | w.dot( (y_.array()*g_.array() + | ~~~~~~~~~~~~~~~~~~~~~~~~ 356 | (1.0-q_.array()).log()).matrix() )); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from ‘glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ 70 | this->construct( | ~~~~~~~~~~~~~~~^ 71 | [&](index_t j) { return compute_xv(X_.col(j), this->weight()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 72 | [&](index_t j) { return this->compute_grad(j); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:55: required from ‘typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::index_t = int]’ 135 | return w.dot(X_.col(j).array().square().matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:73:51: required from ‘glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, ISType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Matrix; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ISType = Eigen::Matrix; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::value_t = double]’ 73 | [&](index_t j) { return compute_xv(j, this->weight()); }, | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1402:44: required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]’ 1402 | auto xj_sq = X_.col(j).cwiseProduct(X_.col(j)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:76:62: required from ‘glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ 76 | [&](index_t j) { return sp_base_t::compute_xv(j, this->weight()); }, | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 177 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 178 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 177 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 178 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 177 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 178 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:68: required from ‘typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_grad(typename base_t::index_t, const RType&, const VType&) const [with RType = Eigen::Matrix; VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]’ 1409 | auto gk = X_.col(k).dot((r.array() + v.array() * o_).matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:77:64: required from ‘glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ 77 | [&](index_t j) { return sp_base_t::compute_grad(j, this->resid(), this->new_weight()); }); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 177 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 178 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:130:48: required from ‘typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ 130 | sc += d_scaled * X_.col(k); | ~~~~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 181 | state_t state = this->update_irls(pack); | ~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 182 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:163:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 187 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 188 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:136:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:139:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:137:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:168:65: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]’ 168 | [&](index_t k) { t_ += (this->beta(k) / xs_(k)) * X_.col(k); }); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 181 | state_t state = this->update_irls(pack); | ~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:66: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]’ 170 | ((t_.array()+uu_).abs().min(this->max_link())).matrix().binaryExpr(t_, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 181 | state_t state = this->update_irls(pack); | ~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:78: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]’ 170 | ((t_.array()+uu_).abs().min(this->max_link())).matrix().binaryExpr(t_, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 171 | [&](auto x, auto y) { return std::copysign(x,y+uu_); }).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 181 | state_t state = this->update_irls(pack); | ~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:84: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:169:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from ‘static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 125 | if (ju[j]) g(j) = x.col(j).dot(y); | ~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 422 | standardize_cov_t::eval(x, y, w, isd, intr, ju, g, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 46 | ys = y.norm(); | ~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from ‘static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 87 | ym = y.dot(w); | ~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 30 | self().partial_fit(pack); | ~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from ‘static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]’ 270 | ys = std::sqrt(y.array().square().matrix().dot(w)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 427 | standardize_naive_t::eval(x, y, w, isd, intr, ju, xm, xs, ym, ys, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ 438 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 180 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 181 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ 565 | typedef typename evaluator::InnerIterator LhsIterator; | ^~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ 352 | struct binary_evaluator, Lhs, Rhs>, IteratorBased, IndexBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:46: required from ‘typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]’ 87 | return X_.col(k).cwiseProduct(w_).dot( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 88 | (y_.array() + o_).matrix() | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 89 | ) / xs_(k); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 180 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 181 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ 523 | xv(j) = x.col(j).array().square().matrix().dot(w); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 300 | standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from ‘static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]’ 525 | auto mean_sq = w.dot(x.col(j)); | ~~~~~^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 300 | standardize_group_t::eval(x, ww, ju, isd, intr, xm, xs, xv); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from ‘static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]’ 473 | auto vc = w.dot(x.col(j).array().square().matrix()) | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 303 | standardize_t::eval(x, ww, ju, isd, intr, xm, xs); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ 180 | int_t me = (a.col(m).head(nin).array() != 0.0).array().count(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 71 | state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from ‘glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]’ 180 | int_t me = (a.col(m).head(nin).array() != 0.0).array().count(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 71 | state_t state = self().process_point_fit(pack, path_config_pack, point_config_pack, elnet_point); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(typename base_t::index_t, RType&&) [with RType = Eigen::Block, -1, 1, true>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ 538 | initialize_resid(r, y_.col(ic), q_.col(ic).cwiseQuotient(sxp_)); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1166:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:589:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:39: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ 660 | mat_t e = this->offset().array().exp().matrix(); | ~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:45: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ 660 | mat_t e = this->offset().array().exp().matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:54: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ 660 | mat_t e = this->offset().array().exp().matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 600 | if (this->has_intercept()) kazero(b_.row(0)); | ~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:661:34: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]’ 661 | vec_t s = e.rowwise().sum(); | ~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 600 | if (this->has_intercept()) kazero(b_.row(0)); | ~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:65: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:47: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 603 | q_.col(ic).array() = b_(0,ic) + g_.col(ic).array(); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:48: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 604 | dev -= w.dot( (y_.col(ic).array() * q_.col(ic).array()).matrix() ); | ~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:51: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 604 | dev -= w.dot( (y_.col(ic).array() * q_.col(ic).array()).matrix() ); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:79: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 604 | dev -= w.dot( (y_.col(ic).array() * q_.col(ic).array()).matrix() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:605:60: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 605 | q_.col(ic).array() = q_.col(ic).array().exp(); | ~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:55: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 608 | vec_t sxpl = (w.array() * sxp_.array().log()).matrix(); | ~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:37: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 608 | vec_t sxpl = (w.array() * sxp_.array().log()).matrix(); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 608 | vec_t sxpl = (w.array() * sxp_.array().log()).matrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:37: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1206 | (q.col(ic).array()* | ~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:44: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1207 | (1.0-q.col(ic).array()/sxp.array())/ | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:26: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1207 | (1.0-q.col(ic).array()/sxp.array())/ | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:39: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1206 | (q.col(ic).array()* | ~~~~~~~~~~~~~~~~~^ 1207 | (1.0-q.col(ic).array()/sxp.array())/ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:57: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1206 | (q.col(ic).array()* | ~~~~~~~~~~~~~~~~~~~ 1207 | (1.0-q.col(ic).array()/sxp.array())/ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 1208 | sxp.array()).maxCoeff() ); | ~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:47: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ 1234 | value_t int_diff = (this->intercept() - this->old_intercept()).array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:77: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ 1234 | value_t int_diff = (this->intercept() - this->old_intercept()).array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:83: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ 1234 | value_t int_diff = (this->intercept() - this->old_intercept()).array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:53: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ 1238 | value_t b_diff = (this->beta(k) - this->old_beta(k)).array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:79: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ 1238 | value_t b_diff = (this->beta(k) - this->old_beta(k)).array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:85: required from ‘typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]’ 1238 | value_t b_diff = (this->beta(k) - this->old_beta(k)).array().abs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:113:66: required from ‘glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:43 = Eigen::Matrix]’ 113 | [&](auto& buff) { buff.array() = buff.array().exp(); }, | ~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1381:42: required from ‘void glmnetpp::SpElnetPointInternalBinomialBase::update_with_new_weights(typename base_t::index_t, const VType&, typename base_t::index_t, typename base_t::value_t, typename base_t::value_t&) [with VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::value_t = double]’ 1381 | xv_j = X_.col(j).cwiseProduct(X_.col(j)).dot(v); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:121:55: required from ‘void glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]’ 121 | sp_base_t::update_with_new_weights(j, v, this->optimization_type(), xmz, xv(j)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 179 | this->setup_wls(pack); | ~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 177 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 178 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]’ 522 | r = this->weight().cwiseProduct(y - v); | ~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 187 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 188 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]’ 522 | r = this->weight().cwiseProduct(y - v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 187 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 188 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:137:75: required from ‘glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:50 = Eigen::Matrix]’ 137 | [&b0](auto& buff) { buff.array() = (buff.array() + b0).exp(); }, | ~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 187 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 188 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:101:69: required from ‘glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&):::: [with auto:65 = int]’ 101 | [&](auto k) { xm_(k) = X_.col(k).dot(this->weight()); }, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; SkipPolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:100:51: required from ‘glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]’ 100 | base_t::for_each_with_skip(this->all_begin(), this->all_end(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 101 | [&](auto k) { xm_(k) = X_.col(k).dot(this->weight()); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | [&](auto k) { return !this->exclusion()[k]; }); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:38: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from ‘static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]’ 400 | auto z = ysq.dot(w); | ~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 548 | standardize_t::eval(x, y, w, isd, jsd, intr, ju, xm, xs, ym, ys, xv, ys0); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:37: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ 101 | (y_.col(j).array() + o_(j)).matrix()) / xs_(k); | ~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 155 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 318 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 319 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:40: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ 101 | (y_.col(j).array() + o_(j)).matrix()) / xs_(k); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 155 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 318 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 319 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:55: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ 101 | (y_.col(j).array() + o_(j)).matrix()) / xs_(k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: required from ‘typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase; typename base_t::index_t = int]’ 108 | compute_grad(k, g); | ~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:68:60: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 155 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 318 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 319 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 97 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 98 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]’ 522 | r = this->weight().cwiseProduct(y - v); | ~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]’ 522 | r = this->weight().cwiseProduct(y - v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:643:34: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ 643 | pred_buff.array() = intr + offset.array(); | ~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:645:81: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ 645 | pred_buff.array() = pred_buff.array().max(this->log_mean_pred_min()).min(this->log_mean_pred_max()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:65: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ 647 | q.array() = (this->mean_min() * this->sxp().array()).max( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 648 | pred_buff.array().exp()).min( | ~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:648:53: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ 647 | q.array() = (this->mean_min() * this->sxp().array()).max( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 648 | pred_buff.array().exp()).min( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 649 | this->mean_max() * this->sxp().array()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:49: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1044 | auto cri = r2 * (a.array()-s1).abs().sum() + s1*(s1-am2); | ~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:51: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1044 | auto cri = r2 * (a.array()-s1).abs().sum() + s1*(s1-am2); | ~~~~~~~~~~^~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:59: required from ‘auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1044 | auto cri = r2 * (a.array()-s1).abs().sum() + s1*(s1-am2); | ~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:84:33: required from ‘void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]’ 84 | o_ += (xm_(k) / xs_(k)) * diff; | ~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:39:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 155 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 318 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 319 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 30 | self().partial_fit(pack); | ~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, false>, 1, -1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 30 | self().partial_fit(pack); | ~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator >, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:51: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]’ 598 | g_.row(i).array() -= g_.row(i).sum() / nc; | ~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:531:48: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&, typename base_t::value_t) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]’ 531 | r = this->weight().cwiseProduct(y - v) / scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:546:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:155:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 182 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:156:37: required from ‘void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, DestType&&) const [with DestType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ 156 | dest = (dest - svr_*xb_(j)) / xs_(j); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:162:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 182 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>]’ 86 | diff = this->beta(k) - diff; // new minus old beta_k | ~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:55: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ 589 | this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum(); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:85: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ 589 | this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from ‘typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]’ 64 | this->update_rsq(k, diff); | ~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 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 : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:38: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ 589 | this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum(); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from ‘void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]’ 155 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 318 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 319 | parm, ju, vq, cl, y, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:435:19: required from here 435 | driver.fit( | ~~~~~~~~~~^ 436 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 437 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 438 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 439 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 97 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 98 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:88:35: required from ‘static auto glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::compute_sp_cov(const X1Type&, const X2Type&, const WType&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]’ 88 | auto wx2 = x2.cwiseProduct(w); | ~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:65:42: required from ‘void glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::update_active(typename base_t::index_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]’ 65 | return compute_sp_cov( | ~~~~~~~~~~~~~~^ 66 | X_.col(j), X_.col(k), w_, xm_(j), xm_(k), xs_(j), xs_(k) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:81:44: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>]’ 81 | this->update_active(k); | ~~~~~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from ‘void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]’ 151 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 173 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 174 | parm, ju, vq, cl, g, w, ne, nx, x, nlam, flmin, vlam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 175 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:103:19: required from here 103 | driver.fit( | ~~~~~~~~~~^ 104 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 105 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 106 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 107 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:101:57: required from ‘void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]’ 101 | this->has_intercept(), r.col(ic).sum(), 1., this->weight()); | ~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 179 | this->setup_wls(pack); | ~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 30 | self().partial_fit(pack); | ~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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>, 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/tmp/CRAN_special_valgrind/Library/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>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 30 | self().partial_fit(pack); | ~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:45: required from ‘void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ 91 | (this->new_weight().array() * X_.col(k).array()).matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:72: required from ‘void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]’ 91 | (this->new_weight().array() * X_.col(k).array()).matrix()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> > >; typename base_t::index_t = int]’ 129 | this->update_resid(k, diff); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from ‘glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>]’ 86 | diff = this->beta(k) - diff; // new minus old beta_k | ~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:127:53: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:82:43: required from ‘void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ 82 | X_.col(k).cwiseProduct(this->weight())); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 107 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 78 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 79 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:270:19: required from here 270 | driver.fit( | ~~~~~~~~~~^ 271 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 272 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 273 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 274 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:140:39: required from ‘void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]’ 140 | X_.col(k).cwiseProduct(this->weight())); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]’ 129 | this->update_resid(k, diff); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >]’ 141 | self().template update(k, pack, diff); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:55: required from ‘void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]’ 321 | base_t::update_dlx(dlx_, beta_diff.array().abs().maxCoeff(), x_var); | ~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 97 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 98 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 99 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:142:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:322:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:405:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ 381 | r -= beta_diff * x; | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:89:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1208:43: required from ‘void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]’ 1206 | (q.col(ic).array()* | ~~~~~~~~~~~~~~~~~~~ 1207 | (1.0-q.col(ic).array()/sxp.array())/ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1208 | sxp.array()).maxCoeff() ); | ~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:219:37: required from ‘static constexpr bool glmnetpp::ElnetPointInternalStaticBase::equal(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T1 = Eigen::Matrix; T2 = Eigen::Transpose, 1, -1, false> >; ValueType = double; IndexType = int]’ 219 | return (x.array() == y.array()).all(); | ~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:75:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ 381 | r -= beta_diff * x; | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:80:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ 381 | r -= beta_diff * x; | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:91:43: required from ‘void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]’ 91 | gaussian_naive_t::update_resid( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 92 | r.col(ic), d_scaled, | ~~~~~~~~~~~~~~~~~~~~ 93 | X_.col(k).cwiseProduct(this->weight())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> > >; typename base_t::index_t = int]’ 129 | this->update_resid(k, diff); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/binomial_multi_class_group.hpp:34:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 182 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ 381 | r -= beta_diff * x; | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:138:39: required from ‘void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]’ 138 | gaussian_naive_t::update_resid( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 139 | this->resid(), d_scaled, | ~~~~~~~~~~~~~~~~~~~~~~~~ 140 | X_.col(k).cwiseProduct(this->weight())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from ‘typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]’ 129 | this->update_resid(k, diff); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from ‘void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]’ 169 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from ‘static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 144 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,xm,xs, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 145 | thr,intr,maxit,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 255 | details::FitPathPoisson::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 256 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | nlam, flmin, ulam, xm, xs, thr, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 258 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 259 | ); | ~ elnet_exp.cpp:326:19: required from here 326 | driver.fit( | ~~~~~~~~~~^ 327 | parm, x, y, g, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | ulam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 329 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 330 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ 647 | g_next = g_curr + xvk * ak; | ~~~~^~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ 647 | g_next = g_curr + xvk * ak; | ~~~~~~~^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from ‘void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]’ 109 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 91 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y_1,g_1,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | thr,isd,intr,maxit,kopt,lmu,a0_slice,ca_slice,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:570:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 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::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:92: required from ‘void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]’ 589 | this->rsq() -= (diff.array() * (2.0 * g_curr_ - this->x_var(k) * diff).array()).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from ‘typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]’ 64 | this->update_rsq(k, diff); | ~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ 647 | g_next = g_curr + xvk * ak; | ~~~~^~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from ‘static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]’ 647 | g_next = g_curr + xvk * ak; | ~~~~~~~^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 101 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam,thr, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | isd,intr,maxit,kopt,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:333: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 182 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1024>’ 22 | class SparseTransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ 45 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int ProductType = 7; Scalar = double]’ 216 | internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha); | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 182 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from ‘void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 171 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 182 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 183 | thr,intr,maxit,xm,xs,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f,int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:214:19: required from here 214 | driver.fit( | ~~~~~~~~~~^ 215 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 216 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 217 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 218 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_cov.hpp:55:65: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from ‘void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]’ 136 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from ‘static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]’ 90 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 91 | parm, ju, vq, cl, g, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 92 | lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from ‘void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 439 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 440 | ka, parm, x, y, g, w, ju, vq, xm, xs, xv, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | nlam, flmin, vlam, thr, isd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ); | ~ elnet_exp.cpp:49:19: required from here 49 | driver.fit( | ~~~~~~~~~~^ 50 | ka == 2, parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 51 | ulam, thr, isd == 1, intr == 1, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 52 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 53 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ 217 | PanelEvaluator panel_eval(panel); | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 681 | m_functor.template assignPacket(&m_dst.coeffRef(index), m_src.template packet(index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]’ 437 | kernel.template assignPacket(index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]’ 785 | dense_assignment_loop::run(kernel); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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 | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Transpose, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:703:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from ‘void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 118 | void fit(const PointConfigPack& pack) { self().irls(pack); } | ~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:66: required from ‘void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]’ 321 | base_t::update_dlx(dlx_, beta_diff.array().abs().maxCoeff(), x_var); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 56 | elnet_point.fit(point_config_pack); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from ‘void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]’ 108 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from ‘static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 250 | elnet_path.fit( | ~~~~~~~~~~~~~~^ 251 | parm, ju, vq, cl, y, ne, nx, x, nlam, flmin, vlam, thr, maxit, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 252 | ys0, lmu, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 562 | details::FitPathGaussian::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 563 | beta, ju, vq, clt, y, w, ne, nx, x, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 564 | nlam, flmin, ulam, thr, maxit, xm, xs, xv, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 565 | ys0, lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ elnet_exp.cpp:381:19: required from here 381 | driver.fit( | ~~~~~~~~~~^ 382 | parm, x, y, w, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 383 | ulam, thr, isd, jsd, intr, maxit, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 384 | lmu, a0, ca, ia, nin, rsq, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 385 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from ‘glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 93 | using internal_t::internal_t; | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from ‘void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]’ 46 | auto&& elnet_point = self().get_elnet_point(pack, path_config_pack); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from ‘void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]’ 112 | crtp_base_t::fit(pack); | ~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from ‘static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]’ 96 | elnet_path.fit(parm,ju,vp,cl,ne,nx,x,y,g,w,nlam,flmin,ulam, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 97 | thr,intr,maxit,xv,lmu,a0,ca,ia,nin,dev0,dev,alm,nlp,jerr,setpb_f, int_param); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from ‘void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]’ 309 | details::FitPathBinomial::eval( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 310 | parm, x, y, g, ww, ju, vq, cl, ne, nx, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 311 | nlam, flmin, ulam, xm, xs, xv, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 312 | lmu, a0, ca, ia, nin, dev0, dev, alm, nlp, jerr, setpb_f, int_param | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 313 | ); | ~ elnet_exp.cpp:158:19: required from here 158 | driver.fit( | ~~~~~~~~~~^ 159 | parm, x, y, g, jd, vp, cl, ne, nx, nlam, flmin, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 160 | ulam, thr, isd, intr, maxit, kopt, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 161 | lmu, a0, ca, ia, nin, nulldev, dev, alm, nlp, jerr, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 162 | [&](int v) {setpb_cpp(pb, v);}, ::InternalParams()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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); | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c glmnet_init.cpp -o glmnet_init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c internal.cpp -o internal.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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; | ^~~~~~~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pb.c -o pb.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c pb_exp.cpp -o pb_exp.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -g -O2 -Wall -pedantic -mtune=native -c wls_exp.cpp -o wls_exp.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here 555 | clt_slice(i, k) = cl(i,j); | ~~~~~~~~~^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here 555 | clt_slice(i, k) = cl(i,j); | ~~~~~~~~~^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here 555 | clt_slice(i, k) = cl(i,j); | ~~~~~~~~~^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here 400 | e.array() = (-g).array().exp(); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ 45 | class Array | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here 402 | p.array() = 1./(1. + e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here 409 | p.array() = 1./(1. + ea0 * e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here 409 | p.array() = 1./(1. + ea0 * e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here 409 | p.array() = 1./(1. + ea0 * e.array()); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ wls_exp.cpp:40:5: required from here 40 | ) | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ 796 | struct ElnetPointInternalGaussianWLSBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ 10 | struct ElnetPointInternal< | ^~~~~~~~~~~~~~~~~~~ 11 | util::glm_type::gaussian, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 12 | util::mode_type::wls, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 13 | ValueType, | ~~~~~~~~~~ 14 | IndexType, | ~~~~~~~~~~ 15 | BoolType> | ~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ 16 | struct ElnetPointCRTPBase: | ^~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ 8 | struct ElnetPointGaussianBase : | ^~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ 9 | struct ElnetPoint< | ^~~~~~~~~~~ 10 | util::glm_type::gaussian, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 11 | util::mode_type::wls, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 12 | ElnetPointInternalPolicy> | ~~~~~~~~~~~~~~~~~~~~~~~~~ wls_exp.cpp:52:17: required from here 52 | alm0, almc, alpha, x, r, xv, v, intr, ju, vp, | ^~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from ‘struct glmnetpp::ElnetPointInternalGaussianWLSBase’ 796 | struct ElnetPointInternalGaussianWLSBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from ‘struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>’ 10 | struct ElnetPointInternal< | ^~~~~~~~~~~~~~~~~~~ 11 | util::glm_type::gaussian, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 12 | util::mode_type::wls, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 13 | ValueType, | ~~~~~~~~~~ 14 | IndexType, | ~~~~~~~~~~ 15 | BoolType> | ~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ 16 | struct ElnetPointCRTPBase: | ^~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >’ 8 | struct ElnetPointGaussianBase : | ^~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >’ 9 | struct ElnetPoint< | ^~~~~~~~~~~ 10 | util::glm_type::gaussian, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 11 | util::mode_type::wls, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 12 | ElnetPointInternalPolicy> | ~~~~~~~~~~~~~~~~~~~~~~~~~ wls_exp.cpp:52:17: required from here 52 | alm0, almc, alpha, x, r, xv, v, intr, ju, vp, | ^~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ wls_exp.cpp:113:5: required from here 113 | ) | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 255 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32: required from ‘struct glmnetpp::SpElnetPointInternal::type::wls, double, int, int>’ 150 | Eigen::Map X_; // data matrix | ^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from ‘struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >’ 16 | struct ElnetPointCRTPBase: | ^~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from ‘struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >’ 8 | struct ElnetPointGaussianBase : | ^~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from ‘struct glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >’ 9 | struct ElnetPoint< | ^~~~~~~~~~~ 10 | util::glm_type::gaussian, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 11 | util::mode_type::wls, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 12 | ElnetPointInternalPolicy> | ~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8: required from ‘struct glmnetpp::SpElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >’ 7 | struct SpElnetPoint< | ^~~~~~~~~~~~~ 8 | util::glm_type::gaussian, | ~~~~~~~~~~~~~~~~~~~~~~~~~ 9 | util::mode_type::wls, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 10 | ElnetPointInternalPolicy> | ~~~~~~~~~~~~~~~~~~~~~~~~~ wls_exp.cpp:125:17: required from here 125 | alm0, almc, alpha, x, r, xm, xs, xv, v, intr, ju, vp, | ^~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 113 | return X_.col(k).array().square().matrix().dot(this->weight()); | ~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 74 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 113 | return X_.col(k).array().square().matrix().dot(this->weight()); | ~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 74 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 113 | return X_.col(k).array().square().matrix().dot(this->weight()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 74 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >’ 140 | class MatrixWrapper : public MatrixBase > | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 113 | return X_.col(k).array().square().matrix().dot(this->weight()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 74 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 133 | value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v); | ~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 85 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 133 | value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 85 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 292 | struct evaluator, Options, StrideType> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>’ 438 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from ‘struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>’ 1087 | struct block_evaluator | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ 334 | struct binary_evaluator, Lhs, Rhs>, IteratorBased, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 133 | value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 85 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:277: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ 407 | typedef typename evaluator::InnerIterator LhsIterator; | ^~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ 334 | struct binary_evaluator, Lhs, Rhs>, IteratorBased, IteratorBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 29 | internal::evaluator thisEval(derived()); | ^~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from ‘typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 133 | value_t xv = X_.col(k).cwiseProduct(X_.col(k)).dot(v); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 85 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 113 | return X_.col(k).array().square().matrix().dot(this->weight()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 74 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’ 206 | compute_grad(const RType& r, const XType& x) { return r.dot(x); } | ~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 118 | return base_t::compute_grad(this->resid(), X_.col(k)); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 123 | return std::abs(compute_grad(k)); | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 75 | [&](index_t j) { return compute_abs_grad(j); }); | ^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33: required from ‘glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 83 | svr_ = this->resid().sum(); | ~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 113 | return X_.col(k).array().square().matrix().dot(this->weight()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 74 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:55:24: required from here 55 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:55:24: required from here 55 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]’ 928 | auto d = gaussian_naive_t::update_intercept( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 929 | a0_, this->resid(), this->convg_measure(), intr_, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 930 | r_sum, xmz_, v_); | ~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’ 99 | base_t::update_intercept(this->resid().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 55 | this->update_intercept(); | ~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:55:24: required from here 55 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from ‘auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]’ 928 | auto d = gaussian_naive_t::update_intercept( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 929 | a0_, this->resid(), this->convg_measure(), intr_, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 930 | r_sum, xmz_, v_); | ~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from ‘void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]’ 99 | base_t::update_intercept(this->resid().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 55 | this->update_intercept(); | ~~~~~~~~~~~~~~~~~~~~~~^~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:55:24: required from here 55 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>’ 17 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]’ 110 | X_.col(k).cwiseProduct(this->weight())); | ~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ 57 | this->update_resid(k, beta_diff); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:128:24: required from here 128 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]’ 110 | X_.col(k).cwiseProduct(this->weight())); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ 57 | this->update_resid(k, beta_diff); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:128:24: required from here 128 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ 381 | r -= beta_diff * x; | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:55:24: required from here 55 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>’ 36 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from ‘static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]’ 381 | r -= beta_diff * x; | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39: required from ‘void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]’ 109 | gaussian_naive_t::update_resid(this->resid(), d_scaled, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ 110 | X_.col(k).cwiseProduct(this->weight())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]’ 57 | this->update_resid(k, beta_diff); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:128:24: required from here 128 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 113 | return X_.col(k).array().square().matrix().dot(this->weight()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 74 | [&](index_t j) { return compute_xv(j); }, | ^~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; 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); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from ‘static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]’ 206 | compute_grad(const RType& r, const XType& x) { return r.dot(x); } | ~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 118 | return base_t::compute_grad(this->resid(), X_.col(k)); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from ‘typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 123 | return std::abs(compute_grad(k)); | ^~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from ‘glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]’ 75 | [&](index_t j) { return compute_abs_grad(j); }); | ^~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here 93 | using internal_t::internal_t; | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from ‘Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 48 | || ((internal::evaluator::Flags&RowMajorBit) == (internal::evaluator::Flags&RowMajorBit))), | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from ‘Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 111 | : m_lhs(aLhs), m_rhs(aRhs), m_functor(func) | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:689:62: required from ‘const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType::Type Eigen::SparseMatrixBase::cwiseProduct(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType::Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]’ 689 | return typename CwiseProductDenseReturnType::Type(derived(), other.derived()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:128:24: required from here 128 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:55:24: required from here 55 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:90: required from ‘glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]’ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from ‘static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]’ 38 | update_pol(k); | ~~~~~~~~~~^~~ glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from ‘std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 40 | this->for_each_with_skip( | ~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | this->all_begin(), | ~~~~~~~~~~~~~~~~~~ 42 | this->all_end(), | ~~~~~~~~~~~~~~~~ 43 | [=, &pack](auto k) { this->self().template update(k, pack); }, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 44 | [=](auto k) { return this->is_excluded(k); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 45 | ); | ~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from ‘void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]’ 35 | [&]() { return base_t::template fit(pack); } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from ‘void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]’ 43 | base_t::fit(PointConfigPack()); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ wls_exp.cpp:128:24: required from here 128 | elnet_point.fit(m, jerr); | ~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o glmnet.so RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpmRkpUB/R.INSTALL3162d246790195/glmnet/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-glmnet/00new/glmnet/libs ** R ** data ** 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 (glmnet) begin installing package ‘hal9001’ * installing *source* package ‘bslib’ ... ** this is package ‘bslib’ version ‘0.9.0’ ** package ‘bslib’ 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 (bslib) begin installing package ‘rmarkdown’ * installing *source* package ‘rmarkdown’ ... ** this is package ‘rmarkdown’ version ‘2.29’ ** package ‘rmarkdown’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmarkdown) begin installing package ‘htmlwidgets’ * installing *source* package ‘htmlwidgets’ ... ** this is package ‘htmlwidgets’ version ‘1.6.4’ ** package ‘htmlwidgets’ 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 (htmlwidgets) begin installing package ‘visNetwork’ begin installing package ‘htmlTable’ * installing *source* package ‘htmlTable’ ... ** this is package ‘htmlTable’ version ‘2.4.3’ ** package ‘htmlTable’ 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 (htmlTable) begin installing package ‘Hmisc’ * installing *source* package ‘visNetwork’ ... ** this is package ‘visNetwork’ version ‘2.1.2’ ** package ‘visNetwork’ 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 (visNetwork) * installing *source* package ‘hal9001’ ... ** this is package ‘hal9001’ version ‘0.4.6’ ** package ‘hal9001’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIvYJrS/R.INSTALL316aa01642b2b8/hal9001/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from hal9001_types.h:4, from RcppExports.cpp:4: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenWrap.h:387:24: required from ‘Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]’ 387 | return ans; | ^~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/as.h:89:32: required from ‘T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 89 | return exporter.get(); | ~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/as.h:152:31: required from ‘T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 152 | return internal::as(x, typename traits::r_type_traits::r_category()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/InputParameter.h:46:54: required from ‘Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]’ 46 | ReferenceInputParameter(SEXP x_) : obj( as(x_) ){} | ~~~~~^~~~ RcppExports.cpp:73:70: required from here 73 | Rcpp::traits::input_parameter< SpMat& >::type x_basis(x_basisSEXP); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dedupe.cpp -o dedupe.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from dedupe.cpp:2: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Derived&) [with Derived = Eigen::SparseMatrix]’ 45 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:778:26: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 778 | Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ dedupe.cpp:100:18: required from here 100 | return(x_unique); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c make_hal_basis.cpp -o make_hal_basis.o In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from make_hal_basis.cpp:2: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ 77 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix]’ 917 | call_assignment_no_alias(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:45:37: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Derived&) [with Derived = Eigen::SparseMatrix]’ 45 | internal::call_assignment_no_alias(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:778:26: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 778 | Base::operator=(other); | ~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ 713 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ make_hal_basis.cpp:204:17: required from here 204 | return(x_basis); | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/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 In file included from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:205, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Dense:1, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigen.h:25, from utils.cpp:2: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:174: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:165: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Core:271: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ 50 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ 148 | class SparseMapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ 222 | class Map, Options, StrideType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ hal9001_types.h:9:15: required from here 9 | typedef MSpMat::InnerIterator MInIterMat; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h:64:7: required from ‘class Eigen::SparseVector’ 64 | class SparseVector | ^~~~~~~~~~~~ hal9001_types.h:14:14: required from here 14 | typedef SpVec::InnerIterator InIterVec; | ^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from ‘struct Eigen::internal::traits > >’ 18 | struct traits > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.cpp:23:19: required from here 23 | MapMatd X(Rcpp::as(XX_)); | ^~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from ‘struct Eigen::internal::traits > >’ 24 | ? PlainObjectType::ColsAtCompileTime | ^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level > >’ 32 | enum { has_direct_access = (traits::Flags & DirectAccessBit) ? 1 : 0, | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map >’ 111 | int Level = internal::accessors_level::has_write_access ? WriteAccessors : ReadOnlyAccessors | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.cpp:23:19: required from here 23 | MapMatd X(Rcpp::as(XX_)); | ^~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ utils.cpp:23:19: required from here 23 | MapMatd X(Rcpp::as(XX_)); | ^~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView > >’ 45 | class SparseView : public SparseMatrixBase > | ^~~~~~~~~~ utils.cpp:24:31: required from here 24 | SpMat Xsparse = X.sparseView(); // Output: sparse matrix | ~~~~~~~~~~~~^~ /home/hornik/tmp/CRAN_special_valgrind/Library/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/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ 336 | typedef typename DenseCoeffsBase::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ 1505 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseView > >]’ 79 | const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit); | ^~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseView > >; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ 132 | assign_sparse_to_sparse(dst.derived(), src.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView > >; Derived = Eigen::SparseMatrix]’ 37 | internal::Assignment > | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 38 | ::run(derived(), other.derived(), internal::assign_op()); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 1239 | return Base::operator=(other.derived()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseView > >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ 689 | *this = other.derived(); | ~~~~~~^~~~~~~~~~~~~~~~~ utils.cpp:24:32: required from here 24 | SpMat Xsparse = X.sparseView(); // Output: sparse matrix | ^ /home/hornik/tmp/CRAN_special_valgrind/Library/RcppEigen/include/Eigen/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++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o hal9001.so RcppExports.o dedupe.o make_hal_basis.o utils.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIvYJrS/R.INSTALL316aa01642b2b8/hal9001/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-hal9001/00new/hal9001/libs ** R ** data *** moving datasets to lazyload DB ** 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 (hal9001) * installing *source* package ‘readr’ ... ** this is package ‘readr’ version ‘2.1.5’ ** package ‘readr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpNPE0nK/R.INSTALL316977606bf25e/readr/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Collector.cpp -o Collector.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c CollectorGuess.cpp -o CollectorGuess.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Iconv.cpp -o Iconv.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c LocaleInfo.cpp -o LocaleInfo.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Reader.cpp -o Reader.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Source.cpp -o Source.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Tokenizer.cpp -o Tokenizer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TokenizerDelim.cpp -o TokenizerDelim.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TokenizerFwf.cpp -o TokenizerFwf.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TokenizerWs.cpp -o TokenizerWs.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c connection.cpp -o connection.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c datetime.cpp -o datetime.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c grisu3.c -o grisu3.o grisu3.c: In function ‘double2diy_fp’: grisu3.c:57:23: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 57 | #define CAST_U64(d) (*(uint64_t*)&d) | ^ grisu3.c:209:24: note: in expansion of macro ‘CAST_U64’ 209 | uint64_t u64 = CAST_U64(d); | ^~~~~~~~ grisu3.c: In function ‘grisu3’: grisu3.c:57:23: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 57 | #define CAST_U64(d) (*(uint64_t*)&d) | ^ grisu3.c:304:24: note: in expansion of macro ‘CAST_U64’ 304 | uint64_t u64 = CAST_U64(v); | ^~~~~~~~ grisu3.c: In function ‘dtoa_grisu3’: grisu3.c:57:23: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing] 57 | #define CAST_U64(d) (*(uint64_t*)&d) | ^ grisu3.c:356:24: note: in expansion of macro ‘CAST_U64’ 356 | uint64_t u64 = CAST_U64(v); | ^~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c parse.cpp -o parse.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c read.cpp -o read.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c type_convert.cpp -o type_convert.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c write.cpp -o write.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/tzdb/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c write_delim.cpp -o write_delim.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o readr.so Collector.o CollectorGuess.o Iconv.o LocaleInfo.o Reader.o Source.o Tokenizer.o TokenizerDelim.o TokenizerFwf.o TokenizerWs.o connection.o cpp11.o datetime.o grisu3.o init.o parse.o read.o type_convert.o write.o write_delim.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpNPE0nK/R.INSTALL316977606bf25e/readr/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-readr/00new/readr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (readr) * installing *source* package ‘rstpm2’ ... ** this is package ‘rstpm2’ version ‘1.6.7’ ** package ‘rstpm2’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmptueKTx/R.INSTALL315dd3567477d5/rstpm2/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aft.cpp -o aft.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c c_optim.cpp -o c_optim.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cox_ph.cpp -o cox_ph.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c gaussq2.f -o gaussq2.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gsm.cpp -o gsm.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c laplace.f90 -o laplace.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c multistate.cpp -o multistate.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c package_init.c -o package_init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pluginEstimate2.cpp -o pluginEstimate2.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c splines.cpp -o splines.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c test-nmmin.cpp -o test-nmmin.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vintegrate.cpp -o vintegrate.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DSTRICT_R_HEADERS -DBOOST_NO_AUTO_PTR -I../inst/include -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c vuniroot.cpp -o vuniroot.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o rstpm2.so RcppExports.o aft.o c_optim.o cox_ph.o gaussq2.o gsm.o laplace.o multistate.o package_init.o pluginEstimate2.o splines.o test-nmmin.o utils.o vintegrate.o vuniroot.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmptueKTx/R.INSTALL315dd3567477d5/rstpm2/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-rstpm2/00new/rstpm2/libs ** R ** data *** moving datasets to lazyload DB ** 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 (rstpm2) begin installing package ‘flexsurv’ * installing *source* package ‘Hmisc’ ... ** this is package ‘Hmisc’ version ‘5.2-3’ ** package ‘Hmisc’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp7iGAMO/R.INSTALL316d4b70473544/Hmisc/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c Hmisc.c -o Hmisc.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cidxcn.f90 -o cidxcn.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cidxcp.f90 -o cidxcp.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c cutgn.f90 -o cutgn.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c hlqest.f90 -o hlqest.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c hoeffd.f90 -o hoeffd.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c jacklins.f90 -o jacklins.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c largrec.f -o largrec.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mChoice.c -o mChoice.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c maxempr.f90 -o maxempr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c nstr.c -o nstr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ranksort.c -o ranksort.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c rcorr.f90 -o rcorr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c string_box.c -o string_box.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c wclosest.f90 -o wclosest.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o Hmisc.so Hmisc.o cidxcn.o cidxcp.o cutgn.o hlqest.o hoeffd.o init.o jacklins.o largrec.o mChoice.o maxempr.o nstr.o ranksort.o rcorr.o string_box.o wclosest.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp7iGAMO/R.INSTALL316d4b70473544/Hmisc/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-Hmisc/00new/Hmisc/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 (Hmisc) begin installing package ‘rms’ * installing *source* package ‘igraph’ ... ** this is package ‘igraph’ version ‘2.1.4’ ** package ‘igraph’ successfully unpacked and MD5 sums checked ** using staged installation libxml2 include directories: -I/usr/include/libxml2 libxml2 library link flags: -lxml2 Using installed GLPK ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpULcl2F/R.INSTALL3159005c0b7d9d/igraph/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c cpp11.cpp -o cpp11.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c cpprinterface.cpp -o cpprinterface.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c init.cpp -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rinterface.c -o rinterface.o In file included from rinterface.c:25: rinterface.c: In function ‘R_igraph_fundamental_cycles’: rinterface.c:11325:18: warning: ‘c_start’ may be used uninitialized [-Wmaybe-uninitialized] 11325 | IGRAPH_R_CHECK(igraph_fundamental_cycles(&c_graph, &c_basis, (Rf_isNull(start) ? 0 : c_start), c_bfs_cutoff, (Rf_isNull(weights) ? 0 : &c_weights))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rinterface.h:116:35: note: in definition of macro ‘IGRAPH_R_CHECK’ 116 | igraph_error_type_t __c = func; \ | ^~~~ rinterface.c:11306:20: note: ‘c_start’ was declared here 11306 | igraph_integer_t c_start; | ^~~~~~~ rinterface.c: In function ‘R_igraph_random_spanning_tree’: rinterface.c:11591:18: warning: ‘c_vid’ may be used uninitialized [-Wmaybe-uninitialized] 11591 | IGRAPH_R_CHECK(igraph_random_spanning_tree(&c_graph, &c_res, (Rf_isNull(vid) ? 0 : c_vid))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ rinterface.h:116:35: note: in definition of macro ‘IGRAPH_R_CHECK’ 116 | igraph_error_type_t __c = func; \ | ^~~~ rinterface.c:11577:20: note: ‘c_vid’ was declared here 11577 | igraph_integer_t c_vid; | ^~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rinterface_extra.c -o rinterface_extra.o rinterface_extra.c: In function ‘R_SEXP_to_attr_comb’: rinterface_extra.c:338:12: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 338 | func=(igraph_function_pointer_t) (void*) VECTOR_ELT(input, i); | ^ rinterface_extra.c: In function ‘R_igraph_attribute_combine_vertices’: rinterface_extra.c:1954:21: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 1954 | func = (SEXP) (void*) voidfunc; | ^ rinterface_extra.c: In function ‘R_igraph_attribute_combine_edges’: rinterface_extra.c:2120:21: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 2120 | func = (SEXP) (void*) voidfunc; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rrandom.c -o rrandom.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c simpleraytracer.cpp -o simpleraytracer.o gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dgetv0.f -o vendor/arpack/dgetv0.o vendor/arpack/dgetv0.f:120:26: 120 | & ( ido, bmat, itry, initv, n, j, v, ldv, resid, rnorm, | 1 Warning: Unused dummy argument ‘itry’ at (1) [-Wunused-dummy-argument] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] vendor/arpack/dgetv0.f:269:72: 269 | tmvopx = tmvopx + (t3 - t2) | ^ Warning: ‘t2’ may be used uninitialized [-Wmaybe-uninitialized] stat.h:8:27: note: ‘t2’ declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dlaqrb.f -o vendor/arpack/dlaqrb.o vendor/arpack/dlaqrb.f:495:16: 495 | if( i2.gt.i ) | ^ Warning: ‘i2’ may be used uninitialized [-Wmaybe-uninitialized] vendor/arpack/dlaqrb.f:141:26: 141 | integer i, i1, i2, itn, its, j, k, l, m, nh, nr | ^ note: ‘i2’ was declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dmout.f -o vendor/arpack/dmout.o vendor/arpack/dmout.f:21:43: 21 | SUBROUTINE IGRAPHDMOUT( LOUT, M, N, A, LDA, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘a’ at (1) [-Wunused-dummy-argument] vendor/arpack/dmout.f:35:26: 35 | INTEGER I, J, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘i’ declared at (1) [-Wunused-variable] vendor/arpack/dmout.f:21:56: 21 | SUBROUTINE IGRAPHDMOUT( LOUT, M, N, A, LDA, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘idigit’ at (1) [-Wunused-dummy-argument] vendor/arpack/dmout.f:21:62: 21 | SUBROUTINE IGRAPHDMOUT( LOUT, M, N, A, LDA, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘ifmt’ at (1) [-Wunused-dummy-argument] vendor/arpack/dmout.f:35:29: 35 | INTEGER I, J, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘j’ declared at (1) [-Wunused-variable] vendor/arpack/dmout.f:35:33: 35 | INTEGER I, J, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘k1’ declared at (1) [-Wunused-variable] vendor/arpack/dmout.f:35:37: 35 | INTEGER I, J, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘k2’ declared at (1) [-Wunused-variable] vendor/arpack/dmout.f:34:32: 34 | CHARACTER LINE*80 | 1 Warning: Unused variable ‘line’ declared at (1) [-Wunused-variable] vendor/arpack/dmout.f:35:42: 35 | INTEGER I, J, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘lll’ declared at (1) [-Wunused-variable] vendor/arpack/dmout.f:21:34: 21 | SUBROUTINE IGRAPHDMOUT( LOUT, M, N, A, LDA, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘lout’ at (1) [-Wunused-dummy-argument] vendor/arpack/dmout.f:21:37: 21 | SUBROUTINE IGRAPHDMOUT( LOUT, M, N, A, LDA, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘m’ at (1) [-Wunused-dummy-argument] vendor/arpack/dmout.f:21:40: 21 | SUBROUTINE IGRAPHDMOUT( LOUT, M, N, A, LDA, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘n’ at (1) [-Wunused-dummy-argument] vendor/arpack/dmout.f:35:50: 35 | INTEGER I, J, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘ndigit’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dnaitr.f -o vendor/arpack/dnaitr.o vendor/arpack/dnaitr.f:210:33: 210 | & (ido, bmat, n, k, np, nb, resid, rnorm, v, ldv, h, ldh, | 1 Warning: Unused dummy argument ‘nb’ at (1) [-Wunused-dummy-argument] vendor/arpack/dnaitr.f:494:72: 494 | tmvopx = tmvopx + (t3 - t2) | ^ Warning: ‘t2’ may be used uninitialized [-Wmaybe-uninitialized] stat.h:8:27: note: ‘t2’ declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dnapps.f -o vendor/arpack/dnapps.o stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dnaup2.f -o vendor/arpack/dnaup2.o vendor/arpack/dnaup2.f:315:5: 315 | 10 continue | 1 Warning: Label 10 at (1) defined but not used [-Wunused-label] vendor/arpack/dnaup2.f:175:63: 175 | & ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd, | 1 Warning: Unused dummy argument ‘iupd’ at (1) [-Wunused-dummy-argument] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dnaupd.f -o vendor/arpack/dnaupd.o vendor/arpack/dnaupd.f:541:25: 541 | if (nb .le. 0) nb = 1 | 1~~~~~~~ Warning: Nonconforming tab character at (1) [-Wtabs] vendor/arpack/dnaupd.f:542:29: 542 | if (tol .le. zero) tol = dlamch('EpsMach') | 1~~~~~~~ Warning: Nonconforming tab character at (1) [-Wtabs] stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dnconv.f -o vendor/arpack/dnconv.o stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dneigh.f -o vendor/arpack/dneigh.o stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dneupd.f -o vendor/arpack/dneupd.o stat.h:8:19: Warning: Unused variable ‘t0’ declared at (1) [-Wunused-variable] stat.h:8:23: Warning: Unused variable ‘t1’ declared at (1) [-Wunused-variable] stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] vendor/arpack/dneupd.f:537:72: 537 | & '_neupd: Threshold eigenvalue used for re-ordering') | ^ Warning: ‘thres’ may be used uninitialized [-Wmaybe-uninitialized] vendor/arpack/dneupd.f:347:47: 347 | & conds, rnorm, sep, temp, thres, vl(1,1), temp1, eps23 | ^ note: ‘thres’ was declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dngets.f -o vendor/arpack/dngets.o vendor/arpack/dngets.f:96:33: 96 | & bounds, shiftr, shifti ) | 1 Warning: Unused dummy argument ‘shifti’ at (1) [-Wunused-dummy-argument] vendor/arpack/dngets.f:96:25: 96 | & bounds, shiftr, shifti ) | 1 Warning: Unused dummy argument ‘shiftr’ at (1) [-Wunused-dummy-argument] stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsaitr.f -o vendor/arpack/dsaitr.o vendor/arpack/dsaitr.f:484:72: 484 | tmvopx = tmvopx + (t3 - t2) | ^ Warning: ‘t2’ may be used uninitialized [-Wmaybe-uninitialized] stat.h:8:27: note: ‘t2’ declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsapps.f -o vendor/arpack/dsapps.o stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsaup2.f -o vendor/arpack/dsaup2.o vendor/arpack/dsaup2.f:812:5: 812 | 130 continue | 1 Warning: Label 130 at (1) defined but not used [-Wunused-label] vendor/arpack/dsaup2.f:326:5: 326 | 10 continue | 1 Warning: Label 10 at (1) defined but not used [-Wunused-label] vendor/arpack/dsaup2.f:180:63: 180 | & ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd, | 1 Warning: Unused dummy argument ‘iupd’ at (1) [-Wunused-dummy-argument] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsaupd.f -o vendor/arpack/dsaupd.o stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsconv.f -o vendor/arpack/dsconv.o stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dseigt.f -o vendor/arpack/dseigt.o vendor/arpack/dseigt.f:124:18: 124 | integer i, k, msglvl | 1 Warning: Unused variable ‘i’ declared at (1) [-Wunused-variable] stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsesrt.f -o vendor/arpack/dsesrt.o gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dseupd.f -o vendor/arpack/dseupd.o stat.h:8:19: Warning: Unused variable ‘t0’ declared at (1) [-Wunused-variable] stat.h:8:23: Warning: Unused variable ‘t1’ declared at (1) [-Wunused-variable] stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] vendor/arpack/dseupd.f:557:49: 557 | if ( workl(irz+j) .le. thres1 .or. | ^ Warning: ‘thres1’ may be used uninitialized [-Wmaybe-uninitialized] vendor/arpack/dseupd.f:259:44: 259 | & bnorm2, rnorm, temp, thres1, thres2, tempbnd, eps23 | ^ note: ‘thres1’ was declared here vendor/arpack/dseupd.f:557:49: 557 | if ( workl(irz+j) .le. thres1 .or. | ^ Warning: ‘thres2’ may be used uninitialized [-Wmaybe-uninitialized] vendor/arpack/dseupd.f:259:52: 259 | & bnorm2, rnorm, temp, thres1, thres2, tempbnd, eps23 | ^ note: ‘thres2’ was declared here gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsgets.f -o vendor/arpack/dsgets.o stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsortc.f -o vendor/arpack/dsortc.o gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dsortr.f -o vendor/arpack/dsortr.o gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dstatn.f -o vendor/arpack/dstatn.o stat.h:8:19: Warning: Unused variable ‘t0’ declared at (1) [-Wunused-variable] stat.h:8:23: Warning: Unused variable ‘t1’ declared at (1) [-Wunused-variable] stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dstats.f -o vendor/arpack/dstats.o stat.h:8:19: Warning: Unused variable ‘t0’ declared at (1) [-Wunused-variable] stat.h:8:23: Warning: Unused variable ‘t1’ declared at (1) [-Wunused-variable] stat.h:8:27: Warning: Unused variable ‘t2’ declared at (1) [-Wunused-variable] stat.h:8:31: Warning: Unused variable ‘t3’ declared at (1) [-Wunused-variable] stat.h:8:35: Warning: Unused variable ‘t4’ declared at (1) [-Wunused-variable] stat.h:8:39: Warning: Unused variable ‘t5’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dstqrb.f -o vendor/arpack/dstqrb.o gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/dvout.f -o vendor/arpack/dvout.o vendor/arpack/dvout.f:32:26: 32 | INTEGER I, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘i’ declared at (1) [-Wunused-variable] vendor/arpack/dvout.f:18:49: 18 | SUBROUTINE IGRAPHDVOUT( LOUT, N, SX, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘idigit’ at (1) [-Wunused-dummy-argument] vendor/arpack/dvout.f:18:55: 18 | SUBROUTINE IGRAPHDVOUT( LOUT, N, SX, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘ifmt’ at (1) [-Wunused-dummy-argument] vendor/arpack/dvout.f:32:30: 32 | INTEGER I, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘k1’ declared at (1) [-Wunused-variable] vendor/arpack/dvout.f:32:34: 32 | INTEGER I, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘k2’ declared at (1) [-Wunused-variable] vendor/arpack/dvout.f:31:32: 31 | CHARACTER LINE*80 | 1 Warning: Unused variable ‘line’ declared at (1) [-Wunused-variable] vendor/arpack/dvout.f:32:39: 32 | INTEGER I, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘lll’ declared at (1) [-Wunused-variable] vendor/arpack/dvout.f:18:34: 18 | SUBROUTINE IGRAPHDVOUT( LOUT, N, SX, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘lout’ at (1) [-Wunused-dummy-argument] vendor/arpack/dvout.f:18:37: 18 | SUBROUTINE IGRAPHDVOUT( LOUT, N, SX, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘n’ at (1) [-Wunused-dummy-argument] vendor/arpack/dvout.f:32:47: 32 | INTEGER I, K1, K2, LLL, NDIGIT | 1 Warning: Unused variable ‘ndigit’ declared at (1) [-Wunused-variable] vendor/arpack/dvout.f:18:41: 18 | SUBROUTINE IGRAPHDVOUT( LOUT, N, SX, IDIGIT, IFMT ) | 1 Warning: Unused dummy argument ‘sx’ at (1) [-Wunused-dummy-argument] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/ivout.f -o vendor/arpack/ivout.o vendor/arpack/ivout.f:25:18: 25 | INTEGER I, NDIGIT, K1, K2, LLL | 1 Warning: Unused variable ‘i’ declared at (1) [-Wunused-variable] vendor/arpack/ivout.f:18:49: 18 | SUBROUTINE IGRAPHIVOUT (LOUT, N, IX, IDIGIT, IFMT) | 1 Warning: Unused dummy argument ‘idigit’ at (1) [-Wunused-dummy-argument] vendor/arpack/ivout.f:18:55: 18 | SUBROUTINE IGRAPHIVOUT (LOUT, N, IX, IDIGIT, IFMT) | 1 Warning: Unused dummy argument ‘ifmt’ at (1) [-Wunused-dummy-argument] vendor/arpack/ivout.f:18:41: 18 | SUBROUTINE IGRAPHIVOUT (LOUT, N, IX, IDIGIT, IFMT) | 1 Warning: Unused dummy argument ‘ix’ at (1) [-Wunused-dummy-argument] vendor/arpack/ivout.f:25:30: 25 | INTEGER I, NDIGIT, K1, K2, LLL | 1 Warning: Unused variable ‘k1’ declared at (1) [-Wunused-variable] vendor/arpack/ivout.f:25:34: 25 | INTEGER I, NDIGIT, K1, K2, LLL | 1 Warning: Unused variable ‘k2’ declared at (1) [-Wunused-variable] vendor/arpack/ivout.f:26:26: 26 | CHARACTER LINE*80 | 1 Warning: Unused variable ‘line’ declared at (1) [-Wunused-variable] vendor/arpack/ivout.f:25:39: 25 | INTEGER I, NDIGIT, K1, K2, LLL | 1 Warning: Unused variable ‘lll’ declared at (1) [-Wunused-variable] vendor/arpack/ivout.f:18:34: 18 | SUBROUTINE IGRAPHIVOUT (LOUT, N, IX, IDIGIT, IFMT) | 1 Warning: Unused dummy argument ‘lout’ at (1) [-Wunused-dummy-argument] vendor/arpack/ivout.f:18:37: 18 | SUBROUTINE IGRAPHIVOUT (LOUT, N, IX, IDIGIT, IFMT) | 1 Warning: Unused dummy argument ‘n’ at (1) [-Wunused-dummy-argument] vendor/arpack/ivout.f:25:26: 25 | INTEGER I, NDIGIT, K1, K2, LLL | 1 Warning: Unused variable ‘ndigit’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/second.f -o vendor/arpack/second.o vendor/arpack/second.f:23:30: 23 | REAL ETIME | 1 Warning: Unused variable ‘etime’ declared at (1) [-Wunused-variable] vendor/arpack/second.f:17:27: 17 | REAL T1 | 1 Warning: Unused variable ‘t1’ declared at (1) [-Wunused-variable] vendor/arpack/second.f:20:36: 20 | REAL TARRAY( 2 ) | 1 Warning: Unused variable ‘tarray’ declared at (1) [-Wunused-variable] gfortran-14 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/arpack/wrap.f -o vendor/arpack/wrap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/betweenness.c -o vendor/cigraph/src/centrality/betweenness.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/centrality_other.c -o vendor/cigraph/src/centrality/centrality_other.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/centralization.c -o vendor/cigraph/src/centrality/centralization.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/closeness.c -o vendor/cigraph/src/centrality/closeness.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/coreness.c -o vendor/cigraph/src/centrality/coreness.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/eigenvector.c -o vendor/cigraph/src/centrality/eigenvector.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/hub_authority.c -o vendor/cigraph/src/centrality/hub_authority.o vendor/cigraph/src/centrality/hub_authority.c: In function ‘igraph_hub_and_authority_scores’: vendor/cigraph/src/centrality/hub_authority.c:392:86: warning: ‘my_hub_vector_p’ may be used uninitialized [-Wmaybe-uninitialized] 392 | igraph_i_kleinberg_unweighted_hub_to_auth(no_of_nodes, authority_vector, &VECTOR(*my_hub_vector_p)[0], &inadjlist); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ vendor/cigraph/src/centrality/hub_authority.c:222:22: note: ‘my_hub_vector_p’ was declared here 222 | igraph_vector_t *my_hub_vector_p; | ^~~~~~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/centrality/pagerank.c -o vendor/cigraph/src/centrality/pagerank.o vendor/cigraph/src/centrality/pagerank.c: In function ‘igraph_i_personalized_pagerank_arpack’: vendor/cigraph/src/centrality/pagerank.c:603:9: warning: ‘reset_sum’ may be used uninitialized [-Wmaybe-uninitialized] 603 | igraph_vector_scale(&normalized_reset, 1.0 / reset_sum); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ vendor/cigraph/src/centrality/pagerank.c:498:19: note: ‘reset_sum’ was declared here 498 | igraph_real_t reset_sum; /* used only when reset != NULL */ | ^~~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack.cpp -o vendor/cigraph/src/centrality/prpack.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_base_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_base_graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.o vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.cpp: In member function ‘igraph_error_t prpack::prpack_igraph_graph::convert_from_igraph(const igraph_t*, const igraph_vector_t*, bool)’: vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.cpp:120:31: warning: ‘p_weight’ may be used uninitialized [-Wmaybe-uninitialized] 120 | *p_weight = VECTOR(*weights)[VECTOR(neis)[j]]; | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.cpp:19:13: note: ‘p_weight’ was declared here 19 | double *p_weight; | ^~~~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.cpp -o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_result.cpp -o vendor/cigraph/src/centrality/prpack/prpack_result.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_solver.cpp -o vendor/cigraph/src/centrality/prpack/prpack_solver.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/prpack/prpack_utils.cpp -o vendor/cigraph/src/centrality/prpack/prpack_utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/centrality/truss.cpp -o vendor/cigraph/src/centrality/truss.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/cliques/cliquer/cliquer.c -o vendor/cigraph/src/cliques/cliquer/cliquer.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/cliques/cliquer/cliquer_graph.c -o vendor/cigraph/src/cliques/cliquer/cliquer_graph.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/cliques/cliquer/reorder.c -o vendor/cigraph/src/cliques/cliquer/reorder.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/cliques/cliquer_wrapper.c -o vendor/cigraph/src/cliques/cliquer_wrapper.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/cliques/cliques.c -o vendor/cigraph/src/cliques/cliques.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/cliques/glet.c -o vendor/cigraph/src/cliques/glet.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/cliques/maximal_cliques.c -o vendor/cigraph/src/cliques/maximal_cliques.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/community_misc.c -o vendor/cigraph/src/community/community_misc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/edge_betweenness.c -o vendor/cigraph/src/community/edge_betweenness.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/fast_modularity.c -o vendor/cigraph/src/community/fast_modularity.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/fluid.c -o vendor/cigraph/src/community/fluid.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/infomap/infomap.cc -o vendor/cigraph/src/community/infomap/infomap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/infomap/infomap_FlowGraph.cc -o vendor/cigraph/src/community/infomap/infomap_FlowGraph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/infomap/infomap_Greedy.cc -o vendor/cigraph/src/community/infomap/infomap_Greedy.o vendor/cigraph/src/community/infomap/infomap_Greedy.cc: In member function ‘bool Greedy::optimize()’: vendor/cigraph/src/community/infomap/infomap_Greedy.cc:126:36: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘long int’} and ‘igraph_uint_t’ {aka ‘long unsigned int’} [-Wsign-compare] 126 | if (redirect[nb_M] >= offset) { vendor/cigraph/src/community/infomap/infomap_Greedy.cc:143:32: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘long int’} and ‘igraph_uint_t’ {aka ‘long unsigned int’} [-Wsign-compare] 143 | if (redirect[nb_M] >= offset) { vendor/cigraph/src/community/infomap/infomap_Greedy.cc:184:28: warning: comparison of integer expressions of different signedness: ‘__gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘long int’} and ‘igraph_uint_t’ {aka ‘long unsigned int’} [-Wsign-compare] 184 | if (redirect[oldM] >= offset) { gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/label_propagation.c -o vendor/cigraph/src/community/label_propagation.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/leading_eigenvector.c -o vendor/cigraph/src/community/leading_eigenvector.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/leiden.c -o vendor/cigraph/src/community/leiden.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/louvain.c -o vendor/cigraph/src/community/louvain.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/modularity.c -o vendor/cigraph/src/community/modularity.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/optimal_modularity.c -o vendor/cigraph/src/community/optimal_modularity.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/spinglass/NetDataTypes.cpp -o vendor/cigraph/src/community/spinglass/NetDataTypes.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/spinglass/NetRoutines.cpp -o vendor/cigraph/src/community/spinglass/NetRoutines.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/spinglass/clustertool.cpp -o vendor/cigraph/src/community/spinglass/clustertool.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/spinglass/pottsmodel_2.cpp -o vendor/cigraph/src/community/spinglass/pottsmodel_2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/community/voronoi.c -o vendor/cigraph/src/community/voronoi.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/walktrap/walktrap.cpp -o vendor/cigraph/src/community/walktrap/walktrap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/walktrap/walktrap_communities.cpp -o vendor/cigraph/src/community/walktrap/walktrap_communities.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/walktrap/walktrap_graph.cpp -o vendor/cigraph/src/community/walktrap/walktrap_graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/community/walktrap/walktrap_heap.cpp -o vendor/cigraph/src/community/walktrap/walktrap_heap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/connectivity/cohesive_blocks.c -o vendor/cigraph/src/connectivity/cohesive_blocks.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/connectivity/components.c -o vendor/cigraph/src/connectivity/components.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/connectivity/reachability.c -o vendor/cigraph/src/connectivity/reachability.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/connectivity/separators.c -o vendor/cigraph/src/connectivity/separators.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/adjacency.c -o vendor/cigraph/src/constructors/adjacency.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/atlas.c -o vendor/cigraph/src/constructors/atlas.o In file included from vendor/cigraph/include/igraph_constructors.h:29, from vendor/cigraph/src/constructors/atlas.c:19: vendor/cigraph/src/constructors/atlas.c: In function ‘igraph_atlas’: vendor/cigraph/src/constructors/atlas.c:75:18: warning: ‘v’ may be used uninitialized [-Wmaybe-uninitialized] 75 | IGRAPH_CHECK(igraph_create(graph, vendor/cigraph/include/igraph_error.h:710:40: note: in definition of macro ‘IGRAPH_CHECK’ 710 | igraph_error_t igraph_i_ret = (expr); \ | ^~~~ In file included from vendor/cigraph/include/igraph_vector.h:88, from vendor/cigraph/include/igraph_matrix.h:29, from vendor/cigraph/include/igraph_constructors.h:31: vendor/cigraph/include/igraph_vector_pmt.h:93:51: note: by argument 1 of type ‘const igraph_vector_int_t *’ to ‘igraph_vector_int_view’ declared here 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~~~~~~ vendor/cigraph/include/igraph_pmt.h:26:25: note: in definition of macro ‘CONCAT3x’ 26 | #define CONCAT3x(a,b,c) a ## _ ## b ## _ ## c | ^ vendor/cigraph/include/igraph_pmt.h:177:31: note: in expansion of macro ‘CONCAT3’ 177 | #define FUNCTION(a,c) CONCAT3(a,SHORT,c) | ^~~~~~~ vendor/cigraph/include/igraph_vector_pmt.h:93:42: note: in expansion of macro ‘FUNCTION’ 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~ vendor/cigraph/src/constructors/atlas.c:64:31: note: ‘v’ declared here 64 | const igraph_vector_int_t v; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/basic_constructors.c -o vendor/cigraph/src/constructors/basic_constructors.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/circulant.c -o vendor/cigraph/src/constructors/circulant.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/de_bruijn.c -o vendor/cigraph/src/constructors/de_bruijn.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/famous.c -o vendor/cigraph/src/constructors/famous.o vendor/cigraph/src/constructors/famous.c: In function ‘igraph_i_famous’: vendor/cigraph/src/constructors/famous.c:261:5: warning: ‘edges’ may be used uninitialized [-Wmaybe-uninitialized] 261 | igraph_vector_int_view(&edges, data + 3, 2 * no_of_edges); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from vendor/cigraph/include/igraph_vector.h:88, from vendor/cigraph/include/igraph_matrix.h:29, from vendor/cigraph/include/igraph_constructors.h:31, from vendor/cigraph/src/constructors/famous.c:25: vendor/cigraph/include/igraph_vector_pmt.h:93:51: note: by argument 1 of type ‘const igraph_vector_int_t *’ to ‘igraph_vector_int_view’ declared here 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~~~~~~ vendor/cigraph/include/igraph_pmt.h:26:25: note: in definition of macro ‘CONCAT3x’ 26 | #define CONCAT3x(a,b,c) a ## _ ## b ## _ ## c | ^ vendor/cigraph/include/igraph_pmt.h:177:31: note: in expansion of macro ‘CONCAT3’ 177 | #define FUNCTION(a,c) CONCAT3(a,SHORT,c) | ^~~~~~~ vendor/cigraph/include/igraph_vector_pmt.h:93:42: note: in expansion of macro ‘FUNCTION’ 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~ vendor/cigraph/src/constructors/famous.c:259:25: note: ‘edges’ declared here 259 | igraph_vector_int_t edges; | ^~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/full.c -o vendor/cigraph/src/constructors/full.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/generalized_petersen.c -o vendor/cigraph/src/constructors/generalized_petersen.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/kautz.c -o vendor/cigraph/src/constructors/kautz.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/lattices.c -o vendor/cigraph/src/constructors/lattices.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/lcf.c -o vendor/cigraph/src/constructors/lcf.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/linegraph.c -o vendor/cigraph/src/constructors/linegraph.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/prufer.c -o vendor/cigraph/src/constructors/prufer.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/regular.c -o vendor/cigraph/src/constructors/regular.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/constructors/trees.c -o vendor/cigraph/src/constructors/trees.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/array.c -o vendor/cigraph/src/core/array.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/bitset.c -o vendor/cigraph/src/core/bitset.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/bitset_list.c -o vendor/cigraph/src/core/bitset_list.o In file included from vendor/cigraph/src/core/bitset_list.c:29: vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_bitset_list_sort_ind’: vendor/cigraph/src/core/typed_list.pmt:936:38: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 936 | vind, n, sizeof(ITEM_TYPE*), (void*) cmp, | ^ vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_i_bitset_list_sort_ind_cmp’: vendor/cigraph/src/core/typed_list.pmt:1087:54: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 1087 | int (*cmp)(const ITEM_TYPE*, const ITEM_TYPE*) = (int (*)(const ITEM_TYPE*, const ITEM_TYPE*)) thunk; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/buckets.c -o vendor/cigraph/src/core/buckets.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/cutheap.c -o vendor/cigraph/src/core/cutheap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/dqueue.c -o vendor/cigraph/src/core/dqueue.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/error.c -o vendor/cigraph/src/core/error.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/estack.c -o vendor/cigraph/src/core/estack.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/fixed_vectorlist.c -o vendor/cigraph/src/core/fixed_vectorlist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/genheap.c -o vendor/cigraph/src/core/genheap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/grid.c -o vendor/cigraph/src/core/grid.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/heap.c -o vendor/cigraph/src/core/heap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/indheap.c -o vendor/cigraph/src/core/indheap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/interruption.c -o vendor/cigraph/src/core/interruption.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/marked_queue.c -o vendor/cigraph/src/core/marked_queue.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/matrix.c -o vendor/cigraph/src/core/matrix.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/matrix_list.c -o vendor/cigraph/src/core/matrix_list.o In file included from vendor/cigraph/src/core/matrix_list.c:32: vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_matrix_list_sort_ind’: vendor/cigraph/src/core/typed_list.pmt:936:38: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 936 | vind, n, sizeof(ITEM_TYPE*), (void*) cmp, | ^ vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_i_matrix_list_sort_ind_cmp’: vendor/cigraph/src/core/typed_list.pmt:1087:54: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 1087 | int (*cmp)(const ITEM_TYPE*, const ITEM_TYPE*) = (int (*)(const ITEM_TYPE*, const ITEM_TYPE*)) thunk; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/memory.c -o vendor/cigraph/src/core/memory.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/printing.c -o vendor/cigraph/src/core/printing.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/progress.c -o vendor/cigraph/src/core/progress.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/psumtree.c -o vendor/cigraph/src/core/psumtree.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/set.c -o vendor/cigraph/src/core/set.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/sparsemat.c -o vendor/cigraph/src/core/sparsemat.o vendor/cigraph/src/core/sparsemat.c: In function ‘igraph_i_sparsemat_arpack_multiply’: vendor/cigraph/src/core/sparsemat.c:1628:5: warning: ‘vto’ may be used uninitialized [-Wmaybe-uninitialized] 1628 | igraph_vector_view(&vto, to, n); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from vendor/cigraph/include/igraph_vector.h:70, from vendor/cigraph/include/igraph_sparsemat.h:30, from vendor/cigraph/src/core/sparsemat.c:24: vendor/cigraph/include/igraph_vector_pmt.h:93:51: note: by argument 1 of type ‘const igraph_vector_t *’ to ‘igraph_vector_view’ declared here 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~~~~~~ vendor/cigraph/include/igraph_pmt.h:24:23: note: in definition of macro ‘CONCAT2x’ 24 | #define CONCAT2x(a,b) a ## _ ## b | ^ vendor/cigraph/include/igraph_pmt.h:169:31: note: in expansion of macro ‘CONCAT2’ 169 | #define FUNCTION(a,c) CONCAT2(a,c) | ^~~~~~~ vendor/cigraph/include/igraph_vector_pmt.h:93:42: note: in expansion of macro ‘FUNCTION’ 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~ vendor/cigraph/src/core/sparsemat.c:1627:21: note: ‘vto’ declared here 1627 | igraph_vector_t vto, vfrom; | ^~~ vendor/cigraph/src/core/sparsemat.c: In function ‘igraph_i_sparsemat_arpack_solve’: vendor/cigraph/src/core/sparsemat.c:1650:5: warning: ‘vfrom’ may be used uninitialized [-Wmaybe-uninitialized] 1650 | igraph_vector_view(&vfrom, from, n); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ vendor/cigraph/include/igraph_vector_pmt.h:93:51: note: by argument 1 of type ‘const igraph_vector_t *’ to ‘igraph_vector_view’ declared here 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~~~~~~ vendor/cigraph/include/igraph_pmt.h:24:23: note: in definition of macro ‘CONCAT2x’ 24 | #define CONCAT2x(a,b) a ## _ ## b | ^ vendor/cigraph/include/igraph_pmt.h:169:31: note: in expansion of macro ‘CONCAT2’ 169 | #define FUNCTION(a,c) CONCAT2(a,c) | ^~~~~~~ vendor/cigraph/include/igraph_vector_pmt.h:93:42: note: in expansion of macro ‘FUNCTION’ 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~ vendor/cigraph/src/core/sparsemat.c:1648:21: note: ‘vfrom’ declared here 1648 | igraph_vector_t vfrom, vto; | ^~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/stack.c -o vendor/cigraph/src/core/stack.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/statusbar.c -o vendor/cigraph/src/core/statusbar.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/strvector.c -o vendor/cigraph/src/core/strvector.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/trie.c -o vendor/cigraph/src/core/trie.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/vector.c -o vendor/cigraph/src/core/vector.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/vector_list.c -o vendor/cigraph/src/core/vector_list.o In file included from vendor/cigraph/src/core/vector_list.c:29: vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_vector_list_sort_ind’: vendor/cigraph/src/core/typed_list.pmt:936:38: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 936 | vind, n, sizeof(ITEM_TYPE*), (void*) cmp, | ^ vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_i_vector_list_sort_ind_cmp’: vendor/cigraph/src/core/typed_list.pmt:1087:54: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 1087 | int (*cmp)(const ITEM_TYPE*, const ITEM_TYPE*) = (int (*)(const ITEM_TYPE*, const ITEM_TYPE*)) thunk; | ^ In file included from vendor/cigraph/src/core/vector_list.c:35: vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_vector_int_list_sort_ind’: vendor/cigraph/src/core/typed_list.pmt:936:38: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 936 | vind, n, sizeof(ITEM_TYPE*), (void*) cmp, | ^ vendor/cigraph/src/core/typed_list.pmt: In function ‘igraph_i_vector_int_list_sort_ind_cmp’: vendor/cigraph/src/core/typed_list.pmt:1087:54: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 1087 | int (*cmp)(const ITEM_TYPE*, const ITEM_TYPE*) = (int (*)(const ITEM_TYPE*, const ITEM_TYPE*)) thunk; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/core/vector_ptr.c -o vendor/cigraph/src/core/vector_ptr.o vendor/cigraph/src/core/vector_ptr.c: In function ‘igraph_vector_ptr_i_sort_ind_cmp’: vendor/cigraph/src/core/vector_ptr.c:665:18: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 665 | cmp_t *cmp = (cmp_t *) thunk; | ^ vendor/cigraph/src/core/vector_ptr.c: In function ‘igraph_vector_ptr_sort_ind’: vendor/cigraph/src/core/vector_ptr.c:724:46: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 724 | igraph_qsort_r(vind, n, sizeof(vind[0]), (void*)cmp, igraph_vector_ptr_i_sort_ind_cmp); | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/flow/flow.c -o vendor/cigraph/src/flow/flow.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/flow/flow_conversion.c -o vendor/cigraph/src/flow/flow_conversion.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/flow/st-cuts.c -o vendor/cigraph/src/flow/st-cuts.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/barabasi.c -o vendor/cigraph/src/games/barabasi.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/callaway_traits.c -o vendor/cigraph/src/games/callaway_traits.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/chung_lu.c -o vendor/cigraph/src/games/chung_lu.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/citations.c -o vendor/cigraph/src/games/citations.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/correlated.c -o vendor/cigraph/src/games/correlated.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/degree_sequence.c -o vendor/cigraph/src/games/degree_sequence.o In function ‘igraph_i_degree_sequence_game_configuration’, inlined from ‘igraph_degree_sequence_game’ at vendor/cigraph/src/games/degree_sequence.c:783:16: vendor/cigraph/src/games/degree_sequence.c:92:53: warning: ‘bag2’ may be used uninitialized [-Wmaybe-uninitialized] 92 | igraph_vector_int_push_back(&edges, bag2[to]); /* ditto */ | ^ vendor/cigraph/src/games/degree_sequence.c: In function ‘igraph_degree_sequence_game’: vendor/cigraph/src/games/degree_sequence.c:44:30: note: ‘bag2’ was declared here 44 | igraph_integer_t *bag1, *bag2; | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.cpp: In member function ‘igraph_integer_t gengraph::graph_molloy_hash::shuffle(igraph_integer_t, igraph_integer_t, int)’: vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.cpp:320:34: warning: comparison of integer expressions of different signedness: ‘igraph_integer_t’ {aka ‘long int’} and ‘long unsigned int’ [-Wsign-compare] 320 | if (nb_swaps + swaps > next) { | ~~~~~~~~~~~~~~~~~^~~~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.cpp: In member function ‘bool gengraph::graph_molloy_opt::make_connected()’: vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.cpp:539:38: warning: pointer ‘trees’ may be used after ‘void operator delete [](void*)’ [-Wuse-after-free] 539 | return (trees == ffub || ((trees + 1) == ffub && fatty_edge.from < 0)); | ~~~~~~~^~~~ vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.cpp:536:14: note: call to ‘void operator delete [](void*)’ here 536 | delete[] buff; | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.cpp -o vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/dotproduct.c -o vendor/cigraph/src/games/dotproduct.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/erdos_renyi.c -o vendor/cigraph/src/games/erdos_renyi.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/establishment.c -o vendor/cigraph/src/games/establishment.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/forestfire.c -o vendor/cigraph/src/games/forestfire.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/grg.c -o vendor/cigraph/src/games/grg.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/growing_random.c -o vendor/cigraph/src/games/growing_random.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/islands.c -o vendor/cigraph/src/games/islands.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/k_regular.c -o vendor/cigraph/src/games/k_regular.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/preference.c -o vendor/cigraph/src/games/preference.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/recent_degree.c -o vendor/cigraph/src/games/recent_degree.o vendor/cigraph/src/games/recent_degree.c: In function ‘igraph_recent_degree_aging_game’: vendor/cigraph/src/games/recent_degree.c:330:23: warning: ‘no_of_neighbors’ may be used uninitialized [-Wmaybe-uninitialized] 330 | for (j = 0; j < no_of_neighbors; j++) { | ~~^~~~~~~~~~~~~~~~~ vendor/cigraph/src/games/recent_degree.c:246:22: note: ‘no_of_neighbors’ was declared here 246 | igraph_integer_t no_of_neighbors; | ^~~~~~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/sbm.c -o vendor/cigraph/src/games/sbm.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/static_fitness.c -o vendor/cigraph/src/games/static_fitness.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/tree.c -o vendor/cigraph/src/games/tree.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/games/watts_strogatz.c -o vendor/cigraph/src/games/watts_strogatz.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/adjlist.c -o vendor/cigraph/src/graph/adjlist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/attributes.c -o vendor/cigraph/src/graph/attributes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/basic_query.c -o vendor/cigraph/src/graph/basic_query.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/caching.c -o vendor/cigraph/src/graph/caching.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/cattributes.c -o vendor/cigraph/src/graph/cattributes.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/graph_list.c -o vendor/cigraph/src/graph/graph_list.o In file included from vendor/cigraph/src/graph/graph_list.c:34: vendor/cigraph/src/graph/../core/typed_list.pmt: In function ‘igraph_graph_list_sort_ind’: vendor/cigraph/src/graph/../core/typed_list.pmt:936:38: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 936 | vind, n, sizeof(ITEM_TYPE*), (void*) cmp, | ^ vendor/cigraph/src/graph/../core/typed_list.pmt: In function ‘igraph_i_graph_list_sort_ind_cmp’: vendor/cigraph/src/graph/../core/typed_list.pmt:1087:54: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 1087 | int (*cmp)(const ITEM_TYPE*, const ITEM_TYPE*) = (int (*)(const ITEM_TYPE*, const ITEM_TYPE*)) thunk; | ^ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/iterators.c -o vendor/cigraph/src/graph/iterators.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/type_common.c -o vendor/cigraph/src/graph/type_common.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/type_indexededgelist.c -o vendor/cigraph/src/graph/type_indexededgelist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/graph/visitors.c -o vendor/cigraph/src/graph/visitors.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/hrg/hrg.cc -o vendor/cigraph/src/hrg/hrg.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/hrg/hrg_types.cc -o vendor/cigraph/src/hrg/hrg_types.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/internal/glpk_support.c -o vendor/cigraph/src/internal/glpk_support.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/internal/hacks.c -o vendor/cigraph/src/internal/hacks.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/internal/lsap.c -o vendor/cigraph/src/internal/lsap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/internal/qsort.c -o vendor/cigraph/src/internal/qsort.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/internal/qsort_r.c -o vendor/cigraph/src/internal/qsort_r.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/internal/utils.c -o vendor/cigraph/src/internal/utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/internal/zeroin.c -o vendor/cigraph/src/internal/zeroin.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/dimacs.c -o vendor/cigraph/src/io/dimacs.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/dl.c -o vendor/cigraph/src/io/dl.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/dot.c -o vendor/cigraph/src/io/dot.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/edgelist.c -o vendor/cigraph/src/io/edgelist.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/gml-tree.c -o vendor/cigraph/src/io/gml-tree.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/gml.c -o vendor/cigraph/src/io/gml.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/graphdb.c -o vendor/cigraph/src/io/graphdb.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/graphml.c -o vendor/cigraph/src/io/graphml.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/leda.c -o vendor/cigraph/src/io/leda.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/lgl.c -o vendor/cigraph/src/io/lgl.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/ncol.c -o vendor/cigraph/src/io/ncol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/pajek.c -o vendor/cigraph/src/io/pajek.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/io/parse_utils.c -o vendor/cigraph/src/io/parse_utils.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss.cc -o vendor/cigraph/src/isomorphism/bliss.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss/defs.cc -o vendor/cigraph/src/isomorphism/bliss/defs.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss/graph.cc -o vendor/cigraph/src/isomorphism/bliss/graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss/heap.cc -o vendor/cigraph/src/isomorphism/bliss/heap.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss/orbit.cc -o vendor/cigraph/src/isomorphism/bliss/orbit.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss/partition.cc -o vendor/cigraph/src/isomorphism/bliss/partition.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss/uintseqhash.cc -o vendor/cigraph/src/isomorphism/bliss/uintseqhash.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/bliss/utils.cc -o vendor/cigraph/src/isomorphism/bliss/utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/isoclasses.c -o vendor/cigraph/src/isomorphism/isoclasses.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/isomorphism_misc.c -o vendor/cigraph/src/isomorphism/isomorphism_misc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/lad.c -o vendor/cigraph/src/isomorphism/lad.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/queries.c -o vendor/cigraph/src/isomorphism/queries.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/isomorphism/vf2.c -o vendor/cigraph/src/isomorphism/vf2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/circular.c -o vendor/cigraph/src/layout/circular.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/davidson_harel.c -o vendor/cigraph/src/layout/davidson_harel.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/layout/drl/DensityGrid.cpp -o vendor/cigraph/src/layout/drl/DensityGrid.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/layout/drl/DensityGrid_3d.cpp -o vendor/cigraph/src/layout/drl/DensityGrid_3d.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/layout/drl/drl_graph.cpp -o vendor/cigraph/src/layout/drl/drl_graph.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/layout/drl/drl_graph_3d.cpp -o vendor/cigraph/src/layout/drl/drl_graph_3d.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/layout/drl/drl_layout.cpp -o vendor/cigraph/src/layout/drl/drl_layout.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/layout/drl/drl_layout_3d.cpp -o vendor/cigraph/src/layout/drl/drl_layout_3d.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/layout/drl/drl_parse.cpp -o vendor/cigraph/src/layout/drl/drl_parse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/fruchterman_reingold.c -o vendor/cigraph/src/layout/fruchterman_reingold.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/gem.c -o vendor/cigraph/src/layout/gem.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/graphopt.c -o vendor/cigraph/src/layout/graphopt.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/kamada_kawai.c -o vendor/cigraph/src/layout/kamada_kawai.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/large_graph.c -o vendor/cigraph/src/layout/large_graph.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/layout_bipartite.c -o vendor/cigraph/src/layout/layout_bipartite.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/layout_grid.c -o vendor/cigraph/src/layout/layout_grid.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/layout_random.c -o vendor/cigraph/src/layout/layout_random.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/mds.c -o vendor/cigraph/src/layout/mds.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/merge_dla.c -o vendor/cigraph/src/layout/merge_dla.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/merge_grid.c -o vendor/cigraph/src/layout/merge_grid.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/reingold_tilford.c -o vendor/cigraph/src/layout/reingold_tilford.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/sugiyama.c -o vendor/cigraph/src/layout/sugiyama.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/layout/umap.c -o vendor/cigraph/src/layout/umap.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/linalg/arpack.c -o vendor/cigraph/src/linalg/arpack.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/linalg/blas.c -o vendor/cigraph/src/linalg/blas.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/linalg/eigen.c -o vendor/cigraph/src/linalg/eigen.o vendor/cigraph/src/linalg/eigen.c: In function ‘igraph_i_eigen_matrix_sym_arpack_cb’: vendor/cigraph/src/linalg/eigen.c:486:9: warning: ‘vto’ may be used uninitialized [-Wmaybe-uninitialized] 486 | igraph_vector_view(&vto, to, n); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from vendor/cigraph/include/igraph_vector.h:70, from vendor/cigraph/include/igraph_matrix.h:29, from vendor/cigraph/include/igraph_arpack.h:29, from vendor/cigraph/include/igraph_eigen.h:28, from vendor/cigraph/src/linalg/eigen.c:24: vendor/cigraph/include/igraph_vector_pmt.h:93:51: note: by argument 1 of type ‘const igraph_vector_t *’ to ‘igraph_vector_view’ declared here 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~~~~~~ vendor/cigraph/include/igraph_pmt.h:24:23: note: in definition of macro ‘CONCAT2x’ 24 | #define CONCAT2x(a,b) a ## _ ## b | ^ vendor/cigraph/include/igraph_pmt.h:169:31: note: in expansion of macro ‘CONCAT2’ 169 | #define FUNCTION(a,c) CONCAT2(a,c) | ^~~~~~~ vendor/cigraph/include/igraph_vector_pmt.h:93:42: note: in expansion of macro ‘FUNCTION’ 93 | IGRAPH_EXPORT const TYPE(igraph_vector) *FUNCTION(igraph_vector, view)(const TYPE(igraph_vector) *v, | ^~~~~~~~ vendor/cigraph/src/linalg/eigen.c:485:25: note: ‘vto’ declared here 485 | igraph_vector_t vto, vfrom; | ^~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/linalg/lapack.c -o vendor/cigraph/src/linalg/lapack.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/math/complex.c -o vendor/cigraph/src/math/complex.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/math/safe_intop.c -o vendor/cigraph/src/math/safe_intop.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/math/utils.c -o vendor/cigraph/src/math/utils.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/bipartite.c -o vendor/cigraph/src/misc/bipartite.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/chordality.c -o vendor/cigraph/src/misc/chordality.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/cocitation.c -o vendor/cigraph/src/misc/cocitation.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/coloring.c -o vendor/cigraph/src/misc/coloring.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/conversion.c -o vendor/cigraph/src/misc/conversion.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/cycle_bases.c -o vendor/cigraph/src/misc/cycle_bases.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/misc/degree_sequence.cpp -o vendor/cigraph/src/misc/degree_sequence.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/embedding.c -o vendor/cigraph/src/misc/embedding.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/feedback_arc_set.c -o vendor/cigraph/src/misc/feedback_arc_set.o vendor/cigraph/src/misc/feedback_arc_set.c: In function ‘igraph_i_find_cycle’: vendor/cigraph/src/misc/feedback_arc_set.c:167:13: warning: ‘ea’ may be used uninitialized [-Wmaybe-uninitialized] 167 | igraph_vector_int_push_back(edges, ea); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ vendor/cigraph/src/misc/feedback_arc_set.c:61:22: note: ‘ea’ was declared here 61 | igraph_integer_t ea, va; | ^~ vendor/cigraph/src/misc/feedback_arc_set.c:154:35: warning: ‘va’ may be used uninitialized [-Wmaybe-uninitialized] 154 | while (VECTOR(vpath)[i-1] != va) i--; vendor/cigraph/src/misc/feedback_arc_set.c:61:26: note: ‘va’ was declared here 61 | igraph_integer_t ea, va; | ^~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/graphicality.c -o vendor/cigraph/src/misc/graphicality.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/matching.c -o vendor/cigraph/src/misc/matching.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/microscopic_update.c -o vendor/cigraph/src/misc/microscopic_update.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/mixing.c -o vendor/cigraph/src/misc/mixing.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/motifs.c -o vendor/cigraph/src/misc/motifs.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/cigraph/src/misc/order_cycle.cpp -o vendor/cigraph/src/misc/order_cycle.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/other.c -o vendor/cigraph/src/misc/other.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/power_law_fit.c -o vendor/cigraph/src/misc/power_law_fit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/scan.c -o vendor/cigraph/src/misc/scan.o vendor/cigraph/src/misc/scan.c:76:23: warning: ‘igraph_i_trans4_il_simplify’ defined but not used [-Wunused-function] 76 | static igraph_error_t igraph_i_trans4_il_simplify(const igraph_t *graph, igraph_inclist_t *il, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/sir.c -o vendor/cigraph/src/misc/sir.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/misc/spanning_trees.c -o vendor/cigraph/src/misc/spanning_trees.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/add_edge.c -o vendor/cigraph/src/operators/add_edge.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/complementer.c -o vendor/cigraph/src/operators/complementer.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/compose.c -o vendor/cigraph/src/operators/compose.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/connect_neighborhood.c -o vendor/cigraph/src/operators/connect_neighborhood.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/contract.c -o vendor/cigraph/src/operators/contract.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/difference.c -o vendor/cigraph/src/operators/difference.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/disjoint_union.c -o vendor/cigraph/src/operators/disjoint_union.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/intersection.c -o vendor/cigraph/src/operators/intersection.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/join.c -o vendor/cigraph/src/operators/join.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/misc_internal.c -o vendor/cigraph/src/operators/misc_internal.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/permute.c -o vendor/cigraph/src/operators/permute.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/reverse.c -o vendor/cigraph/src/operators/reverse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/rewire.c -o vendor/cigraph/src/operators/rewire.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/rewire_edges.c -o vendor/cigraph/src/operators/rewire_edges.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/simplify.c -o vendor/cigraph/src/operators/simplify.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/subgraph.c -o vendor/cigraph/src/operators/subgraph.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/operators/union.c -o vendor/cigraph/src/operators/union.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/all_shortest_paths.c -o vendor/cigraph/src/paths/all_shortest_paths.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/astar.c -o vendor/cigraph/src/paths/astar.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/bellman_ford.c -o vendor/cigraph/src/paths/bellman_ford.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/dijkstra.c -o vendor/cigraph/src/paths/dijkstra.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/distances.c -o vendor/cigraph/src/paths/distances.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/eulerian.c -o vendor/cigraph/src/paths/eulerian.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/floyd_warshall.c -o vendor/cigraph/src/paths/floyd_warshall.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/histogram.c -o vendor/cigraph/src/paths/histogram.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/johnson.c -o vendor/cigraph/src/paths/johnson.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/random_walk.c -o vendor/cigraph/src/paths/random_walk.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/shortest_paths.c -o vendor/cigraph/src/paths/shortest_paths.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/simple_paths.c -o vendor/cigraph/src/paths/simple_paths.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/sparsifier.c -o vendor/cigraph/src/paths/sparsifier.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/unweighted.c -o vendor/cigraph/src/paths/unweighted.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/voronoi.c -o vendor/cigraph/src/paths/voronoi.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/paths/widest_paths.c -o vendor/cigraph/src/paths/widest_paths.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/basic_properties.c -o vendor/cigraph/src/properties/basic_properties.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/complete.c -o vendor/cigraph/src/properties/complete.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/constraint.c -o vendor/cigraph/src/properties/constraint.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/convergence_degree.c -o vendor/cigraph/src/properties/convergence_degree.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/dag.c -o vendor/cigraph/src/properties/dag.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/degrees.c -o vendor/cigraph/src/properties/degrees.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/ecc.c -o vendor/cigraph/src/properties/ecc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/girth.c -o vendor/cigraph/src/properties/girth.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/loops.c -o vendor/cigraph/src/properties/loops.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/multiplicity.c -o vendor/cigraph/src/properties/multiplicity.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/neighborhood.c -o vendor/cigraph/src/properties/neighborhood.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/perfect.c -o vendor/cigraph/src/properties/perfect.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/spectral.c -o vendor/cigraph/src/properties/spectral.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/trees.c -o vendor/cigraph/src/properties/trees.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/properties/triangles.c -o vendor/cigraph/src/properties/triangles.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/random/random.c -o vendor/cigraph/src/random/random.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/random/rng_glibc2.c -o vendor/cigraph/src/random/rng_glibc2.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/random/rng_mt19937.c -o vendor/cigraph/src/random/rng_mt19937.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/random/rng_pcg32.c -o vendor/cigraph/src/random/rng_pcg32.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/random/rng_pcg64.c -o vendor/cigraph/src/random/rng_pcg64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/src/version.c -o vendor/cigraph/src/version.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_add.c -o vendor/cigraph/vendor/cs/cs_add.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_amd.c -o vendor/cigraph/vendor/cs/cs_amd.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_chol.c -o vendor/cigraph/vendor/cs/cs_chol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_cholsol.c -o vendor/cigraph/vendor/cs/cs_cholsol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_compress.c -o vendor/cigraph/vendor/cs/cs_compress.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_counts.c -o vendor/cigraph/vendor/cs/cs_counts.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_cumsum.c -o vendor/cigraph/vendor/cs/cs_cumsum.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_dfs.c -o vendor/cigraph/vendor/cs/cs_dfs.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_dmperm.c -o vendor/cigraph/vendor/cs/cs_dmperm.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_droptol.c -o vendor/cigraph/vendor/cs/cs_droptol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_dropzeros.c -o vendor/cigraph/vendor/cs/cs_dropzeros.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_dupl.c -o vendor/cigraph/vendor/cs/cs_dupl.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_entry.c -o vendor/cigraph/vendor/cs/cs_entry.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_ereach.c -o vendor/cigraph/vendor/cs/cs_ereach.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_etree.c -o vendor/cigraph/vendor/cs/cs_etree.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_fkeep.c -o vendor/cigraph/vendor/cs/cs_fkeep.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_gaxpy.c -o vendor/cigraph/vendor/cs/cs_gaxpy.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_happly.c -o vendor/cigraph/vendor/cs/cs_happly.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_house.c -o vendor/cigraph/vendor/cs/cs_house.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_ipvec.c -o vendor/cigraph/vendor/cs/cs_ipvec.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_leaf.c -o vendor/cigraph/vendor/cs/cs_leaf.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_load.c -o vendor/cigraph/vendor/cs/cs_load.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_lsolve.c -o vendor/cigraph/vendor/cs/cs_lsolve.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_ltsolve.c -o vendor/cigraph/vendor/cs/cs_ltsolve.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_lu.c -o vendor/cigraph/vendor/cs/cs_lu.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_lusol.c -o vendor/cigraph/vendor/cs/cs_lusol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_malloc.c -o vendor/cigraph/vendor/cs/cs_malloc.o vendor/cigraph/vendor/cs/cs_malloc.c: In function ‘cs_igraph_realloc’: vendor/cigraph/vendor/cs/cs_malloc.c:34:26: warning: pointer ‘p’ may be used after ‘realloc’ [-Wuse-after-free] 34 | return ((*ok) ? pnew : p) ; /* return original p if failure */ | ~~~~~~~~~~~~~~^~~~ vendor/cigraph/vendor/cs/cs_malloc.c:32:12: note: call to ‘realloc’ here 32 | pnew = realloc (p, CS_MAX (n,1) * size) ; /* realloc the block */ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_maxtrans.c -o vendor/cigraph/vendor/cs/cs_maxtrans.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_multiply.c -o vendor/cigraph/vendor/cs/cs_multiply.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_norm.c -o vendor/cigraph/vendor/cs/cs_norm.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_permute.c -o vendor/cigraph/vendor/cs/cs_permute.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_pinv.c -o vendor/cigraph/vendor/cs/cs_pinv.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_post.c -o vendor/cigraph/vendor/cs/cs_post.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_print.c -o vendor/cigraph/vendor/cs/cs_print.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_pvec.c -o vendor/cigraph/vendor/cs/cs_pvec.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_qr.c -o vendor/cigraph/vendor/cs/cs_qr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_qrsol.c -o vendor/cigraph/vendor/cs/cs_qrsol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_randperm.c -o vendor/cigraph/vendor/cs/cs_randperm.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_reach.c -o vendor/cigraph/vendor/cs/cs_reach.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_scatter.c -o vendor/cigraph/vendor/cs/cs_scatter.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_scc.c -o vendor/cigraph/vendor/cs/cs_scc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_schol.c -o vendor/cigraph/vendor/cs/cs_schol.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_spsolve.c -o vendor/cigraph/vendor/cs/cs_spsolve.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_sqr.c -o vendor/cigraph/vendor/cs/cs_sqr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_symperm.c -o vendor/cigraph/vendor/cs/cs_symperm.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_tdfs.c -o vendor/cigraph/vendor/cs/cs_tdfs.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_transpose.c -o vendor/cigraph/vendor/cs/cs_transpose.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_updown.c -o vendor/cigraph/vendor/cs/cs_updown.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_usolve.c -o vendor/cigraph/vendor/cs/cs_usolve.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_util.c -o vendor/cigraph/vendor/cs/cs_util.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/cs/cs_utsolve.c -o vendor/cigraph/vendor/cs/cs_utsolve.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/pcg/pcg-advance-128.c -o vendor/cigraph/vendor/pcg/pcg-advance-128.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/pcg/pcg-advance-64.c -o vendor/cigraph/vendor/pcg/pcg-advance-64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/pcg/pcg-output-128.c -o vendor/cigraph/vendor/pcg/pcg-output-128.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/pcg/pcg-output-32.c -o vendor/cigraph/vendor/pcg/pcg-output-32.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/pcg/pcg-output-64.c -o vendor/cigraph/vendor/pcg/pcg-output-64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/pcg/pcg-rngs-128.c -o vendor/cigraph/vendor/pcg/pcg-rngs-128.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/pcg/pcg-rngs-64.c -o vendor/cigraph/vendor/pcg/pcg-rngs-64.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/gss.c -o vendor/cigraph/vendor/plfit/gss.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/hzeta.c -o vendor/cigraph/vendor/plfit/hzeta.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/kolmogorov.c -o vendor/cigraph/vendor/plfit/kolmogorov.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/lbfgs.c -o vendor/cigraph/vendor/plfit/lbfgs.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/mt.c -o vendor/cigraph/vendor/plfit/mt.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/options.c -o vendor/cigraph/vendor/plfit/options.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/platform.c -o vendor/cigraph/vendor/plfit/platform.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/plfit.c -o vendor/cigraph/vendor/plfit/plfit.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/plfit_error.c -o vendor/cigraph/vendor/plfit/plfit_error.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/rbinom.c -o vendor/cigraph/vendor/plfit/rbinom.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/plfit/sampling.c -o vendor/cigraph/vendor/plfit/sampling.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/dl-lexer.c -o vendor/io/dl-lexer.o src/vendor/io/dl-lexer.c: In function ‘yy_fatal_error’: src/vendor/cigraph/src/io/dl-lexer.l:57:33: warning: statement with no effect [-Wunused-value] src/vendor/io/dl-lexer.c:2199:2: note: in expansion of macro ‘fprintf’ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/dl-parser.c -o vendor/io/dl-parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/gml-lexer.c -o vendor/io/gml-lexer.o src/vendor/io/gml-lexer.c: In function ‘yy_fatal_error’: src/vendor/cigraph/src/io/gml-lexer.l:54:33: warning: statement with no effect [-Wunused-value] src/vendor/io/gml-lexer.c:1998:2: note: in expansion of macro ‘fprintf’ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/gml-parser.c -o vendor/io/gml-parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/lgl-lexer.c -o vendor/io/lgl-lexer.o src/vendor/io/lgl-lexer.c: In function ‘yy_fatal_error’: src/vendor/cigraph/src/io/lgl-lexer.l:56:33: warning: statement with no effect [-Wunused-value] src/vendor/io/lgl-lexer.c:1932:2: note: in expansion of macro ‘fprintf’ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/lgl-parser.c -o vendor/io/lgl-parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/ncol-lexer.c -o vendor/io/ncol-lexer.o src/vendor/io/ncol-lexer.c: In function ‘yy_fatal_error’: src/vendor/cigraph/src/io/ncol-lexer.l:56:33: warning: statement with no effect [-Wunused-value] src/vendor/io/ncol-lexer.c:1926:2: note: in expansion of macro ‘fprintf’ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/ncol-parser.c -o vendor/io/ncol-parser.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/pajek-lexer.c -o vendor/io/pajek-lexer.o src/vendor/io/pajek-lexer.c: In function ‘yy_fatal_error’: src/vendor/cigraph/src/io/pajek-lexer.l:57:33: warning: statement with no effect [-Wunused-value] src/vendor/io/pajek-lexer.c:2382:2: note: in expansion of macro ‘fprintf’ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/io/pajek-parser.c -o vendor/io/pajek-parser.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/Color.cpp -o vendor/simpleraytracer/Color.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/Light.cpp -o vendor/simpleraytracer/Light.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/Point.cpp -o vendor/simpleraytracer/Point.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/Ray.cpp -o vendor/simpleraytracer/Ray.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/RayTracer.cpp -o vendor/simpleraytracer/RayTracer.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/RayVector.cpp -o vendor/simpleraytracer/RayVector.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/Shape.cpp -o vendor/simpleraytracer/Shape.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/Sphere.cpp -o vendor/simpleraytracer/Sphere.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/Triangle.cpp -o vendor/simpleraytracer/Triangle.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -pedantic -mtune=native -c vendor/simpleraytracer/unit_limiter.cpp -o vendor/simpleraytracer/unit_limiter.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/R.c -o vendor/uuid/R.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/clear.c -o vendor/uuid/clear.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/compare.c -o vendor/uuid/compare.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/copy.c -o vendor/uuid/copy.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/gen_uuid.c -o vendor/uuid/gen_uuid.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/isnull.c -o vendor/uuid/isnull.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/pack.c -o vendor/uuid/pack.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/parse.c -o vendor/uuid/parse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/unpack.c -o vendor/uuid/unpack.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/uuid/unparse.c -o vendor/uuid/unparse.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -DUSING_R -I. -Ivendor -Ivendor/cigraph/src -Ivendor/cigraph/include -Ivendor/cigraph/vendor -Ivendor/io/parsers -I/usr/include/libxml2 -DHAVE_LIBXML -DNDEBUG -DNTIMER -DNPRINT -DIGRAPH_THREAD_LOCAL= -DPRPACK_IGRAPH_SUPPORT -DHAVE_GFORTRAN=1 -D_GNU_SOURCE=1 -I'/home/hornik/tmp/CRAN_special_valgrind/Library/cpp11/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fvisibility=hidden -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c vendor/cigraph/vendor/mini-gmp/mini-gmp.c -o vendor/cigraph/vendor/mini-gmp/mini-gmp.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o igraph.so cpp11.o cpprinterface.o init.o rinterface.o rinterface_extra.o rrandom.o simpleraytracer.o vendor/arpack/dgetv0.o vendor/arpack/dlaqrb.o vendor/arpack/dmout.o vendor/arpack/dnaitr.o vendor/arpack/dnapps.o vendor/arpack/dnaup2.o vendor/arpack/dnaupd.o vendor/arpack/dnconv.o vendor/arpack/dneigh.o vendor/arpack/dneupd.o vendor/arpack/dngets.o vendor/arpack/dsaitr.o vendor/arpack/dsapps.o vendor/arpack/dsaup2.o vendor/arpack/dsaupd.o vendor/arpack/dsconv.o vendor/arpack/dseigt.o vendor/arpack/dsesrt.o vendor/arpack/dseupd.o vendor/arpack/dsgets.o vendor/arpack/dsortc.o vendor/arpack/dsortr.o vendor/arpack/dstatn.o vendor/arpack/dstats.o vendor/arpack/dstqrb.o vendor/arpack/dvout.o vendor/arpack/ivout.o vendor/arpack/second.o vendor/arpack/wrap.o vendor/cigraph/src/centrality/betweenness.o vendor/cigraph/src/centrality/centrality_other.o vendor/cigraph/src/centrality/centralization.o vendor/cigraph/src/centrality/closeness.o vendor/cigraph/src/centrality/coreness.o vendor/cigraph/src/centrality/eigenvector.o vendor/cigraph/src/centrality/hub_authority.o vendor/cigraph/src/centrality/pagerank.o vendor/cigraph/src/centrality/prpack.o vendor/cigraph/src/centrality/prpack/prpack_base_graph.o vendor/cigraph/src/centrality/prpack/prpack_igraph_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_ge_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_gs_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_scc_graph.o vendor/cigraph/src/centrality/prpack/prpack_preprocessed_schur_graph.o vendor/cigraph/src/centrality/prpack/prpack_result.o vendor/cigraph/src/centrality/prpack/prpack_solver.o vendor/cigraph/src/centrality/prpack/prpack_utils.o vendor/cigraph/src/centrality/truss.o vendor/cigraph/src/cliques/cliquer/cliquer.o vendor/cigraph/src/cliques/cliquer/cliquer_graph.o vendor/cigraph/src/cliques/cliquer/reorder.o vendor/cigraph/src/cliques/cliquer_wrapper.o vendor/cigraph/src/cliques/cliques.o vendor/cigraph/src/cliques/glet.o vendor/cigraph/src/cliques/maximal_cliques.o vendor/cigraph/src/community/community_misc.o vendor/cigraph/src/community/edge_betweenness.o vendor/cigraph/src/community/fast_modularity.o vendor/cigraph/src/community/fluid.o vendor/cigraph/src/community/infomap/infomap.o vendor/cigraph/src/community/infomap/infomap_FlowGraph.o vendor/cigraph/src/community/infomap/infomap_Greedy.o vendor/cigraph/src/community/label_propagation.o vendor/cigraph/src/community/leading_eigenvector.o vendor/cigraph/src/community/leiden.o vendor/cigraph/src/community/louvain.o vendor/cigraph/src/community/modularity.o vendor/cigraph/src/community/optimal_modularity.o vendor/cigraph/src/community/spinglass/NetDataTypes.o vendor/cigraph/src/community/spinglass/NetRoutines.o vendor/cigraph/src/community/spinglass/clustertool.o vendor/cigraph/src/community/spinglass/pottsmodel_2.o vendor/cigraph/src/community/voronoi.o vendor/cigraph/src/community/walktrap/walktrap.o vendor/cigraph/src/community/walktrap/walktrap_communities.o vendor/cigraph/src/community/walktrap/walktrap_graph.o vendor/cigraph/src/community/walktrap/walktrap_heap.o vendor/cigraph/src/connectivity/cohesive_blocks.o vendor/cigraph/src/connectivity/components.o vendor/cigraph/src/connectivity/reachability.o vendor/cigraph/src/connectivity/separators.o vendor/cigraph/src/constructors/adjacency.o vendor/cigraph/src/constructors/atlas.o vendor/cigraph/src/constructors/basic_constructors.o vendor/cigraph/src/constructors/circulant.o vendor/cigraph/src/constructors/de_bruijn.o vendor/cigraph/src/constructors/famous.o vendor/cigraph/src/constructors/full.o vendor/cigraph/src/constructors/generalized_petersen.o vendor/cigraph/src/constructors/kautz.o vendor/cigraph/src/constructors/lattices.o vendor/cigraph/src/constructors/lcf.o vendor/cigraph/src/constructors/linegraph.o vendor/cigraph/src/constructors/prufer.o vendor/cigraph/src/constructors/regular.o vendor/cigraph/src/constructors/trees.o vendor/cigraph/src/core/array.o vendor/cigraph/src/core/bitset.o vendor/cigraph/src/core/bitset_list.o vendor/cigraph/src/core/buckets.o vendor/cigraph/src/core/cutheap.o vendor/cigraph/src/core/dqueue.o vendor/cigraph/src/core/error.o vendor/cigraph/src/core/estack.o vendor/cigraph/src/core/fixed_vectorlist.o vendor/cigraph/src/core/genheap.o vendor/cigraph/src/core/grid.o vendor/cigraph/src/core/heap.o vendor/cigraph/src/core/indheap.o vendor/cigraph/src/core/interruption.o vendor/cigraph/src/core/marked_queue.o vendor/cigraph/src/core/matrix.o vendor/cigraph/src/core/matrix_list.o vendor/cigraph/src/core/memory.o vendor/cigraph/src/core/printing.o vendor/cigraph/src/core/progress.o vendor/cigraph/src/core/psumtree.o vendor/cigraph/src/core/set.o vendor/cigraph/src/core/sparsemat.o vendor/cigraph/src/core/stack.o vendor/cigraph/src/core/statusbar.o vendor/cigraph/src/core/strvector.o vendor/cigraph/src/core/trie.o vendor/cigraph/src/core/vector.o vendor/cigraph/src/core/vector_list.o vendor/cigraph/src/core/vector_ptr.o vendor/cigraph/src/flow/flow.o vendor/cigraph/src/flow/flow_conversion.o vendor/cigraph/src/flow/st-cuts.o vendor/cigraph/src/games/barabasi.o vendor/cigraph/src/games/callaway_traits.o vendor/cigraph/src/games/chung_lu.o vendor/cigraph/src/games/citations.o vendor/cigraph/src/games/correlated.o vendor/cigraph/src/games/degree_sequence.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_degree_sequence.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_hash.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_graph_molloy_optimized.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_mr-connected.o vendor/cigraph/src/games/degree_sequence_vl/gengraph_random.o vendor/cigraph/src/games/dotproduct.o vendor/cigraph/src/games/erdos_renyi.o vendor/cigraph/src/games/establishment.o vendor/cigraph/src/games/forestfire.o vendor/cigraph/src/games/grg.o vendor/cigraph/src/games/growing_random.o vendor/cigraph/src/games/islands.o vendor/cigraph/src/games/k_regular.o vendor/cigraph/src/games/preference.o vendor/cigraph/src/games/recent_degree.o vendor/cigraph/src/games/sbm.o vendor/cigraph/src/games/static_fitness.o vendor/cigraph/src/games/tree.o vendor/cigraph/src/games/watts_strogatz.o vendor/cigraph/src/graph/adjlist.o vendor/cigraph/src/graph/attributes.o vendor/cigraph/src/graph/basic_query.o vendor/cigraph/src/graph/caching.o vendor/cigraph/src/graph/cattributes.o vendor/cigraph/src/graph/graph_list.o vendor/cigraph/src/graph/iterators.o vendor/cigraph/src/graph/type_common.o vendor/cigraph/src/graph/type_indexededgelist.o vendor/cigraph/src/graph/visitors.o vendor/cigraph/src/hrg/hrg.o vendor/cigraph/src/hrg/hrg_types.o vendor/cigraph/src/internal/glpk_support.o vendor/cigraph/src/internal/hacks.o vendor/cigraph/src/internal/lsap.o vendor/cigraph/src/internal/qsort.o vendor/cigraph/src/internal/qsort_r.o vendor/cigraph/src/internal/utils.o vendor/cigraph/src/internal/zeroin.o vendor/cigraph/src/io/dimacs.o vendor/cigraph/src/io/dl.o vendor/cigraph/src/io/dot.o vendor/cigraph/src/io/edgelist.o vendor/cigraph/src/io/gml-tree.o vendor/cigraph/src/io/gml.o vendor/cigraph/src/io/graphdb.o vendor/cigraph/src/io/graphml.o vendor/cigraph/src/io/leda.o vendor/cigraph/src/io/lgl.o vendor/cigraph/src/io/ncol.o vendor/cigraph/src/io/pajek.o vendor/cigraph/src/io/parse_utils.o vendor/cigraph/src/isomorphism/bliss.o vendor/cigraph/src/isomorphism/bliss/defs.o vendor/cigraph/src/isomorphism/bliss/graph.o vendor/cigraph/src/isomorphism/bliss/heap.o vendor/cigraph/src/isomorphism/bliss/orbit.o vendor/cigraph/src/isomorphism/bliss/partition.o vendor/cigraph/src/isomorphism/bliss/uintseqhash.o vendor/cigraph/src/isomorphism/bliss/utils.o vendor/cigraph/src/isomorphism/isoclasses.o vendor/cigraph/src/isomorphism/isomorphism_misc.o vendor/cigraph/src/isomorphism/lad.o vendor/cigraph/src/isomorphism/queries.o vendor/cigraph/src/isomorphism/vf2.o vendor/cigraph/src/layout/circular.o vendor/cigraph/src/layout/davidson_harel.o vendor/cigraph/src/layout/drl/DensityGrid.o vendor/cigraph/src/layout/drl/DensityGrid_3d.o vendor/cigraph/src/layout/drl/drl_graph.o vendor/cigraph/src/layout/drl/drl_graph_3d.o vendor/cigraph/src/layout/drl/drl_layout.o vendor/cigraph/src/layout/drl/drl_layout_3d.o vendor/cigraph/src/layout/drl/drl_parse.o vendor/cigraph/src/layout/fruchterman_reingold.o vendor/cigraph/src/layout/gem.o vendor/cigraph/src/layout/graphopt.o vendor/cigraph/src/layout/kamada_kawai.o vendor/cigraph/src/layout/large_graph.o vendor/cigraph/src/layout/layout_bipartite.o vendor/cigraph/src/layout/layout_grid.o vendor/cigraph/src/layout/layout_random.o vendor/cigraph/src/layout/mds.o vendor/cigraph/src/layout/merge_dla.o vendor/cigraph/src/layout/merge_grid.o vendor/cigraph/src/layout/reingold_tilford.o vendor/cigraph/src/layout/sugiyama.o vendor/cigraph/src/layout/umap.o vendor/cigraph/src/linalg/arpack.o vendor/cigraph/src/linalg/blas.o vendor/cigraph/src/linalg/eigen.o vendor/cigraph/src/linalg/lapack.o vendor/cigraph/src/math/complex.o vendor/cigraph/src/math/safe_intop.o vendor/cigraph/src/math/utils.o vendor/cigraph/src/misc/bipartite.o vendor/cigraph/src/misc/chordality.o vendor/cigraph/src/misc/cocitation.o vendor/cigraph/src/misc/coloring.o vendor/cigraph/src/misc/conversion.o vendor/cigraph/src/misc/cycle_bases.o vendor/cigraph/src/misc/degree_sequence.o vendor/cigraph/src/misc/embedding.o vendor/cigraph/src/misc/feedback_arc_set.o vendor/cigraph/src/misc/graphicality.o vendor/cigraph/src/misc/matching.o vendor/cigraph/src/misc/microscopic_update.o vendor/cigraph/src/misc/mixing.o vendor/cigraph/src/misc/motifs.o vendor/cigraph/src/misc/order_cycle.o vendor/cigraph/src/misc/other.o vendor/cigraph/src/misc/power_law_fit.o vendor/cigraph/src/misc/scan.o vendor/cigraph/src/misc/sir.o vendor/cigraph/src/misc/spanning_trees.o vendor/cigraph/src/operators/add_edge.o vendor/cigraph/src/operators/complementer.o vendor/cigraph/src/operators/compose.o vendor/cigraph/src/operators/connect_neighborhood.o vendor/cigraph/src/operators/contract.o vendor/cigraph/src/operators/difference.o vendor/cigraph/src/operators/disjoint_union.o vendor/cigraph/src/operators/intersection.o vendor/cigraph/src/operators/join.o vendor/cigraph/src/operators/misc_internal.o vendor/cigraph/src/operators/permute.o vendor/cigraph/src/operators/reverse.o vendor/cigraph/src/operators/rewire.o vendor/cigraph/src/operators/rewire_edges.o vendor/cigraph/src/operators/simplify.o vendor/cigraph/src/operators/subgraph.o vendor/cigraph/src/operators/union.o vendor/cigraph/src/paths/all_shortest_paths.o vendor/cigraph/src/paths/astar.o vendor/cigraph/src/paths/bellman_ford.o vendor/cigraph/src/paths/dijkstra.o vendor/cigraph/src/paths/distances.o vendor/cigraph/src/paths/eulerian.o vendor/cigraph/src/paths/floyd_warshall.o vendor/cigraph/src/paths/histogram.o vendor/cigraph/src/paths/johnson.o vendor/cigraph/src/paths/random_walk.o vendor/cigraph/src/paths/shortest_paths.o vendor/cigraph/src/paths/simple_paths.o vendor/cigraph/src/paths/sparsifier.o vendor/cigraph/src/paths/unweighted.o vendor/cigraph/src/paths/voronoi.o vendor/cigraph/src/paths/widest_paths.o vendor/cigraph/src/properties/basic_properties.o vendor/cigraph/src/properties/complete.o vendor/cigraph/src/properties/constraint.o vendor/cigraph/src/properties/convergence_degree.o vendor/cigraph/src/properties/dag.o vendor/cigraph/src/properties/degrees.o vendor/cigraph/src/properties/ecc.o vendor/cigraph/src/properties/girth.o vendor/cigraph/src/properties/loops.o vendor/cigraph/src/properties/multiplicity.o vendor/cigraph/src/properties/neighborhood.o vendor/cigraph/src/properties/perfect.o vendor/cigraph/src/properties/spectral.o vendor/cigraph/src/properties/trees.o vendor/cigraph/src/properties/triangles.o vendor/cigraph/src/random/random.o vendor/cigraph/src/random/rng_glibc2.o vendor/cigraph/src/random/rng_mt19937.o vendor/cigraph/src/random/rng_pcg32.o vendor/cigraph/src/random/rng_pcg64.o vendor/cigraph/src/version.o vendor/cigraph/vendor/cs/cs_add.o vendor/cigraph/vendor/cs/cs_amd.o vendor/cigraph/vendor/cs/cs_chol.o vendor/cigraph/vendor/cs/cs_cholsol.o vendor/cigraph/vendor/cs/cs_compress.o vendor/cigraph/vendor/cs/cs_counts.o vendor/cigraph/vendor/cs/cs_cumsum.o vendor/cigraph/vendor/cs/cs_dfs.o vendor/cigraph/vendor/cs/cs_dmperm.o vendor/cigraph/vendor/cs/cs_droptol.o vendor/cigraph/vendor/cs/cs_dropzeros.o vendor/cigraph/vendor/cs/cs_dupl.o vendor/cigraph/vendor/cs/cs_entry.o vendor/cigraph/vendor/cs/cs_ereach.o vendor/cigraph/vendor/cs/cs_etree.o vendor/cigraph/vendor/cs/cs_fkeep.o vendor/cigraph/vendor/cs/cs_gaxpy.o vendor/cigraph/vendor/cs/cs_happly.o vendor/cigraph/vendor/cs/cs_house.o vendor/cigraph/vendor/cs/cs_ipvec.o vendor/cigraph/vendor/cs/cs_leaf.o vendor/cigraph/vendor/cs/cs_load.o vendor/cigraph/vendor/cs/cs_lsolve.o vendor/cigraph/vendor/cs/cs_ltsolve.o vendor/cigraph/vendor/cs/cs_lu.o vendor/cigraph/vendor/cs/cs_lusol.o vendor/cigraph/vendor/cs/cs_malloc.o vendor/cigraph/vendor/cs/cs_maxtrans.o vendor/cigraph/vendor/cs/cs_multiply.o vendor/cigraph/vendor/cs/cs_norm.o vendor/cigraph/vendor/cs/cs_permute.o vendor/cigraph/vendor/cs/cs_pinv.o vendor/cigraph/vendor/cs/cs_post.o vendor/cigraph/vendor/cs/cs_print.o vendor/cigraph/vendor/cs/cs_pvec.o vendor/cigraph/vendor/cs/cs_qr.o vendor/cigraph/vendor/cs/cs_qrsol.o vendor/cigraph/vendor/cs/cs_randperm.o vendor/cigraph/vendor/cs/cs_reach.o vendor/cigraph/vendor/cs/cs_scatter.o vendor/cigraph/vendor/cs/cs_scc.o vendor/cigraph/vendor/cs/cs_schol.o vendor/cigraph/vendor/cs/cs_spsolve.o vendor/cigraph/vendor/cs/cs_sqr.o vendor/cigraph/vendor/cs/cs_symperm.o vendor/cigraph/vendor/cs/cs_tdfs.o vendor/cigraph/vendor/cs/cs_transpose.o vendor/cigraph/vendor/cs/cs_updown.o vendor/cigraph/vendor/cs/cs_usolve.o vendor/cigraph/vendor/cs/cs_util.o vendor/cigraph/vendor/cs/cs_utsolve.o vendor/cigraph/vendor/pcg/pcg-advance-128.o vendor/cigraph/vendor/pcg/pcg-advance-64.o vendor/cigraph/vendor/pcg/pcg-output-128.o vendor/cigraph/vendor/pcg/pcg-output-32.o vendor/cigraph/vendor/pcg/pcg-output-64.o vendor/cigraph/vendor/pcg/pcg-rngs-128.o vendor/cigraph/vendor/pcg/pcg-rngs-64.o vendor/cigraph/vendor/plfit/gss.o vendor/cigraph/vendor/plfit/hzeta.o vendor/cigraph/vendor/plfit/kolmogorov.o vendor/cigraph/vendor/plfit/lbfgs.o vendor/cigraph/vendor/plfit/mt.o vendor/cigraph/vendor/plfit/options.o vendor/cigraph/vendor/plfit/platform.o vendor/cigraph/vendor/plfit/plfit.o vendor/cigraph/vendor/plfit/plfit_error.o vendor/cigraph/vendor/plfit/rbinom.o vendor/cigraph/vendor/plfit/sampling.o vendor/io/dl-lexer.o vendor/io/dl-parser.o vendor/io/gml-lexer.o vendor/io/gml-parser.o vendor/io/lgl-lexer.o vendor/io/lgl-parser.o vendor/io/ncol-lexer.o vendor/io/ncol-parser.o vendor/io/pajek-lexer.o vendor/io/pajek-parser.o vendor/simpleraytracer/Color.o vendor/simpleraytracer/Light.o vendor/simpleraytracer/Point.o vendor/simpleraytracer/Ray.o vendor/simpleraytracer/RayTracer.o vendor/simpleraytracer/RayVector.o vendor/simpleraytracer/Shape.o vendor/simpleraytracer/Sphere.o vendor/simpleraytracer/Triangle.o vendor/simpleraytracer/unit_limiter.o vendor/uuid/R.o vendor/uuid/clear.o vendor/uuid/compare.o vendor/uuid/copy.o vendor/uuid/gen_uuid.o vendor/uuid/isnull.o vendor/uuid/pack.o vendor/uuid/parse.o vendor/uuid/unpack.o vendor/uuid/unparse.o vendor/cigraph/vendor/mini-gmp/mini-gmp.o -lxml2 -lglpk -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpULcl2F/R.INSTALL3159005c0b7d9d/igraph/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-igraph/00new/igraph/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** 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 (igraph) begin installing package ‘DiagrammeR’ * installing *source* package ‘DiagrammeR’ ... ** this is package ‘DiagrammeR’ version ‘1.0.11’ ** package ‘DiagrammeR’ 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 (DiagrammeR) begin installing package ‘randomForestSRC’ * installing *source* package ‘flexsurv’ ... ** this is package ‘flexsurv’ version ‘2.3.2’ ** package ‘flexsurv’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp3aiMKv/R.INSTALL3170b1300c95a7/flexsurv/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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 gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c flexsurv-init.c -o flexsurv-init.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c genf.cpp -o genf.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gengamma.cpp -o gengamma.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c gompertz.cpp -o gompertz.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c llogis.cpp -o llogis.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c special.cpp -o special.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c splines.cpp -o splines.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o flexsurv.so RcppExports.o flexsurv-init.o genf.o gengamma.o gompertz.o llogis.o special.o splines.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp3aiMKv/R.INSTALL3170b1300c95a7/flexsurv/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-flexsurv/00new/flexsurv/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 (flexsurv) * installing *source* package ‘rms’ ... ** this is package ‘rms’ version ‘8.0-0’ ** package ‘rms’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpeJeCik/R.INSTALL31710b49ddf3c8/rms/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c lrmll.f90 -o lrmll.o lrmll.f90:69:15: 69 | p1 = 0_dp | ^ Warning: ‘p1.dim[0].ubound’ may be used uninitialized [-Wmaybe-uninitialized] lrmll.f90:36:32: 36 | p1(:), p2(:), v1(:), v2(:), w1(:), w2(:) | ^ note: ‘p1.dim[0].ubound’ was declared here lrmll.f90:70:15: 70 | p2 = 0_dp | ^ Warning: ‘p2.dim[0].ubound’ may be used uninitialized [-Wmaybe-uninitialized] lrmll.f90:36:39: 36 | p1(:), p2(:), v1(:), v2(:), w1(:), w2(:) | ^ note: ‘p2.dim[0].ubound’ was declared here gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c mlmats.f -o mlmats.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c ormll.f90 -o ormll.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c robcovf.f90 -o robcovf.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o rms.so init.o lrmll.o mlmats.o ormll.o robcovf.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpeJeCik/R.INSTALL31710b49ddf3c8/rms/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-rms/00new/rms/libs ** R ** demo ** 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 (rms) * installing *source* package ‘randomForestSRC’ ... ** this is package ‘randomForestSRC’ version ‘3.3.3’ ** package ‘randomForestSRC’ successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... gcc-14 -std=gnu23 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 the compiler supports GNU C... yes checking whether gcc-14 -std=gnu23 accepts -g... yes checking for gcc-14 -std=gnu23 option to enable C11 features... none needed checking for gcc-14 -std=gnu23 option to support OpenMP... -fopenmp configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpDUD0vw/R.INSTALL3171ae5d7c9489/randomForestSRC/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_randomForestSRC.c -o R_init_randomForestSRC.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c randomForestSRC.c -o randomForestSRC.o randomForestSRC.c: In function ‘regressionXwghtSplitOpt’: randomForestSRC.c:19854:26: warning: ‘sumRght’ may be used uninitialized [-Wmaybe-uninitialized] 19854 | sumRghtSqr = pow (sumRght, 2.0) / rghtSize; | ^~~~~~~~~~~~~~~~~~ randomForestSRC.c:19740:21: note: ‘sumRght’ was declared here 19740 | double sumLeft, sumRght, sumLeftSqr, sumRghtSqr; | ^~~~~~~ gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fopenmp -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c splitCustom.c -o splitCustom.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o randomForestSRC.so R_init_randomForestSRC.o randomForestSRC.o splitCustom.o -fopenmp -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpDUD0vw/R.INSTALL3171ae5d7c9489/randomForestSRC/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-randomForestSRC/00new/randomForestSRC/libs ** 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 ** 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 (randomForestSRC) * installing *source* package ‘mets’ ... ** this is package ‘mets’ version ‘1.3.6’ ** package ‘mets’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-19) 14.2.0’ using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpcbC37q/R.INSTALL3161a646ce7914/mets/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aalenfrailty.cpp -o aalenfrailty.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c apply.cpp -o apply.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c binomial-twostage.cpp -o binomial-twostage.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c biprobit.cpp -o biprobit.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c claytonoakes.cpp -o claytonoakes.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c clusterindex.cpp -o clusterindex.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c cor.cpp -o cor.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c fastcox.cpp -o fastcox.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c mvn.cpp -o mvn.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c pch.cpp -o pch.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c prop-odd.cpp -o prop-odd.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c randomF77.c -o randomF77.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sim-tools.cpp -o sim-tools.o sim-tools.cpp: In function ‘arma::uvec approx(const arma::mat&, const arma::mat&, unsigned int)’: sim-tools.cpp:17:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 17 | for (int i=0; i& Rcpp::internal::generic_name_proxy::operator=(const T&) [with T = double; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/vector/proxy.h:157:11, inlined from ‘SEXPREC* claytonoakesbinRV(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’ at survival-twostage.cpp:1800:16: /home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include/Rcpp/internal/wrap.h:442:41: warning: ‘like’ may be used uninitialized [-Wmaybe-uninitialized] 442 | r_vector_start(x)[0] = object; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ survival-twostage.cpp: In function ‘SEXPREC* claytonoakesbinRV(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: survival-twostage.cpp:1786:16: note: ‘like’ was declared here 1786 | double like; | ^~~~ g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I../inst/include -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/mvtnorm/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c tools.cpp -o tools.o gfortran-14 -fpic -g -O2 -Wall -pedantic -mtune=native -c tvpack.f -o tvpack.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o mets.so RcppExports.o aalenfrailty.o apply.o binomial-twostage.o biprobit.o claytonoakes.o clusterindex.o cor.o fastcox.o mvn.o pch.o prop-odd.o randomF77.o sim-tools.o survival-twostage.o tools.o tvpack.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpcbC37q/R.INSTALL3161a646ce7914/mets/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-mets/00new/mets/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** 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 (mets) begin installing package ‘riskRegression’ * installing *source* package ‘riskRegression’ ... ** this is package ‘riskRegression’ version ‘2025.05.20’ ** using staged installation ** libs using C++ compiler: ‘g++-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIY7pUa/R.INSTALL31768c4cf3b357/riskRegression/src' g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c IC-Nelson-Aalen-cens-time.cpp -o IC-Nelson-Aalen-cens-time.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/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++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c aucLoobFun.cpp -o aucLoobFun.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c baseHaz.cpp -o baseHaz.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c calcSeCSC.cpp -o calcSeCSC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c calcSeCox.cpp -o calcSeCox.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c calculateDelongCovarianceMatrix.cpp -o calculateDelongCovarianceMatrix.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c colCumSum.cpp -o colCumSum.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c confBand.cpp -o confBand.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c getInfluenceFunctionAUC.cpp -o getInfluenceFunctionAUC.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c getInfluenceFunctionBrier.cpp -o getInfluenceFunctionBrier.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c iidCox.cpp -o iidCox.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c predictCIF.cpp -o predictCIF.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rowCumSum.cpp -o rowCumSum.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c rowSumsCrossprod.cpp -o rowSumsCrossprod.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c sweepCenterScale.cpp -o sweepCenterScale.o g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I'/home/hornik/tmp/CRAN_special_valgrind/Library/Rcpp/include' -I'/home/hornik/tmp/CRAN_special_valgrind/Library/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c weightedAverageIFCumhazard.cpp -o weightedAverageIFCumhazard.o g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o riskRegression.so IC-Nelson-Aalen-cens-time.o RcppExports.o aucLoobFun.o baseHaz.o calcSeCSC.o calcSeCox.o calculateDelongCovarianceMatrix.o colCumSum.o confBand.o getInfluenceFunctionAUC.o getInfluenceFunctionBrier.o iidCox.o predictCIF.o rowCumSum.o rowSumsCrossprod.o sweepCenterScale.o weightedAverageIFCumhazard.o -llapack -L/home/hornik/tmp/R-d-gcc-valg/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpIY7pUa/R.INSTALL31768c4cf3b357/riskRegression/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-riskRegression/00new/riskRegression/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 (riskRegression) begin installing package ‘pec’ * installing *source* package ‘pec’ ... ** this is package ‘pec’ version ‘2023.04.12’ ** package ‘pec’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-14 (Debian 14.2.0-19) 14.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp1ZTSgq/R.INSTALL317a245d22663d/pec/src' gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c SNull.c -o SNull.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c auc.c -o auc.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c brier_score.c -o brier_score.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ccr.c -o ccr.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cindex.c -o cindex.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pec.c -o pec.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c pecResiduals.c -o pecResiduals.o gcc-14 -std=gnu23 -I"/home/hornik/tmp/R-d-gcc-valg/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survest_cox_aalen.c -o survest_cox_aalen.o gcc-14 -std=gnu23 -shared -L/home/hornik/tmp/R-d-gcc-valg/lib -Wl,-O1 -o pec.so SNull.o auc.o brier_score.o ccr.o cindex.o init.o pec.o pecResiduals.o survest_cox_aalen.o -L/home/hornik/tmp/R-d-gcc-valg/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp1ZTSgq/R.INSTALL317a245d22663d/pec/src' installing to /home/hornik/tmp/CRAN_special_valgrind/Library/00LOCK-pec/00new/pec/libs ** 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 ** 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 (pec) checking riskRegression_2025.05.20.tar.gz ... Depends: Package: riskRegression Depends: R (>= 3.5.0), Imports: cmprsk, data.table (>= 1.12.2), doParallel, foreach, ggplot2 (>= 3.1.0), graphics, lattice, lava (>= 1.6.5), mets, mvtnorm, parallel, plotrix, prodlim (>= 2025.4.28), Publish, ranger, Rcpp, rms (>= 5.1.3), stats, glmnet, survival (>= 2.44.1), timereg (>= 1.9.3) LinkingTo: Rcpp, RcppArmadillo Timings: user system elapsed riskRegression 2187.792 77.549 2240.452 Results: Check status summary: OK Source packages 1 Check results summary: riskRegression ... OK