* installing *source* package 'ProjectionBasedClustering' ... ** using staged installation ** libs using C++ compiler: 'g++.exe (GCC) 12.2.0' using C++17 g++ -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I'D:/RCompile/CRANpkg/lib/4.4/Rcpp/include' -I"d:/rtools43/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::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:202:9: warning: 'need_eval_error_algo' may be used uninitialized [-Wmaybe-uninitialized] 202 | if (need_eval_error_algo) { | ^~ 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::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 'void TSNE::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:202:9: warning: 'need_eval_error_algo' may be used uninitialized [-Wmaybe-uninitialized] 202 | if (need_eval_error_algo) { | ^~ 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::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 | ^~~~~~~~~~~~~ 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/bin/x64 -lRlapack -LD:/RCompile/recent/R/bin/x64 -lRblas -lgfortran -lm -lquadmath -fopenmp -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools43/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR installing to d:/RCompile/CRANincoming/R-devel/lib/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 * DONE (ProjectionBasedClustering)