* installing *source* package 'ProjectionBasedClustering' ... ** package 'ProjectionBasedClustering' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++.exe (GCC) 13.2.0' using C++17 make[1]: Entering directory '/d/temp/Rtmp4k2HDa/R.INSTALL15284639d22ce/ProjectionBasedClustering/src' g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c DijkstraSSSP.cpp -o DijkstraSSSP.o DijkstraSSSP.cpp: In function 'Rcpp::NumericVector DijkstraSSSP(Rcpp::NumericMatrix, Rcpp::NumericMatrix, int)': DijkstraSSSP.cpp:38:3: warning: this 'for' clause does not guard... [-Wmisleading-indentation] 38 | for(int i=0;i<n;i++) //Building Graph | ^~~ DijkstraSSSP.cpp:48:5: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'for' 48 | for(int i=0;i<sz;i++) //Set initial distances to Infinity | ^~~ g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c NeRV.cpp -o NeRV.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c c_measure.cpp -o c_measure.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c calculatedistancematrix.cpp -o calculatedistancematrix.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c conjugategradientopt.cpp -o conjugategradientopt.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c conttrust.cpp -o conttrust.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c datamatrix.cpp -o datamatrix.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c dataset.cpp -o dataset.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c distancematrix.cpp -o distancematrix.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c dynamicdouble.cpp -o dynamicdouble.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c euclidean.cpp -o euclidean.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c euclideansquared.cpp -o euclideansquared.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c exception.cpp -o exception.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c goldensectionsearch.cpp -o goldensectionsearch.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c inputprobentropy.cpp -o inputprobentropy.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c klmeasure.cpp -o klmeasure.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c klrank.cpp -o klrank.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c nervcostfunction.cpp -o nervcostfunction.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c nervoptstrat.cpp -o nervoptstrat.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c nervprobability.cpp -o nervprobability.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c randomdatagenerator.cpp -o randomdatagenerator.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c rankmatrix.cpp -o rankmatrix.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c recorder.cpp -o recorder.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c splittree.cpp -o splittree.o g++ -std=gnu++17 -I"D:/RCompile/recent/R-4.4.0/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools44/x86_64-w64-mingw32.static.posix/include" -fopenmp -O2 -Wall -mfpmath=sse -msse2 -mstackrealign -c tsne.cpp -o tsne.o In member function 'void TSNE<treeT, dist_fn>::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance]', inlined from 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)' at tsne.cpp:653:23: tsne.cpp:186:17: warning: 'error_rc_prev' may be used uninitialized [-Wmaybe-uninitialized] 186 | if (error_rc < error_rc_prev && iter > auto_iter_buffer_ee) { | ^~ tsne.cpp: In function 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)': tsne.cpp:159:12: note: 'error_rc_prev' was declared here 159 | double error_rc_prev; // to store previous iteration's error rate of change in auto_iter mode | ^~~~~~~~~~~~~ In member function 'double TSNE<treeT, dist_fn>::computeGradient(int*, int*, double*, double*, int, int, double*, double, bool) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance]', inlined from 'void TSNE<treeT, dist_fn>::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance]' at tsne.cpp:180:39, inlined from 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)' at tsne.cpp:653:23: tsne.cpp:271:13: warning: 'need_eval_error_algo' may be used uninitialized [-Wmaybe-uninitialized] 271 | #pragma omp parallel for reduction(+:P_i_sum,C) | ^~~ tsne.cpp: In function 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)': tsne.cpp:169:14: note: 'need_eval_error_algo' was declared here 169 | bool need_eval_error_algo, need_eval_error_verbose = false; | ^~~~~~~~~~~~~~~~~~~~ In member function 'void TSNE<treeT, dist_fn>::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance_squared]', inlined from 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)' at tsne.cpp:649:23: tsne.cpp:186:17: warning: 'error_rc_prev' may be used uninitialized [-Wmaybe-uninitialized] 186 | if (error_rc < error_rc_prev && iter > auto_iter_buffer_ee) { | ^~ tsne.cpp: In function 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)': tsne.cpp:159:12: note: 'error_rc_prev' was declared here 159 | double error_rc_prev; // to store previous iteration's error rate of change in auto_iter mode | ^~~~~~~~~~~~~ In member function 'double TSNE<treeT, dist_fn>::computeGradient(int*, int*, double*, double*, int, int, double*, double, bool) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance_squared]', inlined from 'void TSNE<treeT, dist_fn>::run(double*, int, int, double*, int, double, double, int, int, int, int, bool, int, double, double, double*, bool, double) [with treeT = SplitTree; double (* dist_fn)(const DataPoint&, const DataPoint&) = euclidean_distance_squared]' at tsne.cpp:180:39, inlined from 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)' at tsne.cpp:649:23: tsne.cpp:271:13: warning: 'need_eval_error_algo' may be used uninitialized [-Wmaybe-uninitialized] 271 | #pragma omp parallel for reduction(+:P_i_sum,C) | ^~~ tsne.cpp: In function 'Rcpp::NumericMatrix opt_multicore_tnse_cpp(Rcpp::NumericMatrix, int, double, int, int, double, int, double, double, int, double, int)': tsne.cpp:169:14: note: 'need_eval_error_algo' was declared here 169 | bool need_eval_error_algo, need_eval_error_verbose = false; | ^~~~~~~~~~~~~~~~~~~~ g++ -shared -s -static-libgcc -o ProjectionBasedClustering.dll tmp.def DijkstraSSSP.o NeRV.o RcppExports.o c_measure.o calculatedistancematrix.o conjugategradientopt.o conttrust.o datamatrix.o dataset.o distancematrix.o dynamicdouble.o euclidean.o euclideansquared.o exception.o goldensectionsearch.o inputprobentropy.o klmeasure.o klrank.o nervcostfunction.o nervoptstrat.o nervprobability.o randomdatagenerator.o rankmatrix.o recorder.o splittree.o tsne.o -LD:/RCompile/recent/R-4.4.0/bin/x64 -lRlapack -LD:/RCompile/recent/R-4.4.0/bin/x64 -lRblas -lgfortran -lm -lquadmath -fopenmp -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools44/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R-4.4.0/bin/x64 -lR make[1]: Leaving directory '/d/temp/Rtmp4k2HDa/R.INSTALL15284639d22ce/ProjectionBasedClustering/src' make[1]: Entering directory '/d/temp/Rtmp4k2HDa/R.INSTALL15284639d22ce/ProjectionBasedClustering/src' make[1]: Leaving directory '/d/temp/Rtmp4k2HDa/R.INSTALL15284639d22ce/ProjectionBasedClustering/src' installing to d:/Rcompile/CRANpkg/lib/4.4/00LOCK-ProjectionBasedClustering/00new/ProjectionBasedClustering/libs/x64 ** 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 * MD5 sums packaged installation of 'ProjectionBasedClustering' as ProjectionBasedClustering_1.2.1.zip * DONE (ProjectionBasedClustering)