<86>Nov 13 08:10:34 userdel[34333]: delete user 'rooter' <86>Nov 13 08:10:34 userdel[34333]: removed group 'rooter' owned by 'rooter' <86>Nov 13 08:10:34 userdel[34333]: removed shadow group 'rooter' owned by 'rooter' <86>Nov 13 08:10:34 groupadd[34340]: group added to /etc/group: name=rooter, GID=678 <86>Nov 13 08:10:34 groupadd[34340]: group added to /etc/gshadow: name=rooter <86>Nov 13 08:10:34 groupadd[34340]: new group: name=rooter, GID=678 <86>Nov 13 08:10:34 useradd[34346]: new user: name=rooter, UID=678, GID=678, home=/root, shell=/bin/bash <86>Nov 13 08:10:34 userdel[34354]: delete user 'builder' <86>Nov 13 08:10:34 userdel[34354]: removed group 'builder' owned by 'builder' <86>Nov 13 08:10:34 userdel[34354]: removed shadow group 'builder' owned by 'builder' <86>Nov 13 08:10:34 groupadd[34368]: group added to /etc/group: name=builder, GID=679 <86>Nov 13 08:10:34 groupadd[34368]: group added to /etc/gshadow: name=builder <86>Nov 13 08:10:34 groupadd[34368]: new group: name=builder, GID=679 <86>Nov 13 08:10:34 useradd[34391]: new user: name=builder, UID=679, GID=679, home=/usr/src, shell=/bin/bash <13>Nov 13 08:10:39 rpmi: libyaml2-0.2.1-alt1 sisyphus.214707.100 1539464411 installed <13>Nov 13 08:10:39 rpmi: libverto-0.3.0-alt1_5 1525957714 installed <13>Nov 13 08:10:40 rpmi: libruby-2.5.1-alt4 sisyphus.209945.120 1537061465 installed <13>Nov 13 08:10:40 rpmi: libkeyutils-1.5.10-alt1 1489994063 installed <13>Nov 13 08:10:40 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Nov 13 08:10:40 rpmi: libcom_err-1.44.3-alt1 1532134732 installed <13>Nov 13 08:10:40 rpmi: libtasn1-4.13-alt2 1521133850 installed <13>Nov 13 08:10:40 rpmi: libp11-kit-0.23.9-alt5 1525798298 installed <13>Nov 13 08:10:40 rpmi: rpm-macros-alternatives-0.4.5-alt1.1 1404382149 installed <13>Nov 13 08:10:40 rpmi: alternatives-0.4.5-alt1.1 1404382149 installed <13>Nov 13 08:10:40 rpmi: ca-certificates-2018.09.09-alt1 sisyphus.212781.100 1536518628 installed <13>Nov 13 08:10:40 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Nov 13 08:10:40 rpmi: p11-kit-trust-0.23.9-alt5 1525798298 installed <13>Nov 13 08:10:40 rpmi: libcrypto1.1-1.1.0i-alt1 1535471315 installed <13>Nov 13 08:10:40 rpmi: libcrypto10-1.0.2p-alt2 1535474186 installed <13>Nov 13 08:10:40 rpmi: libssl1.1-1.1.0i-alt1 1535471315 installed <86>Nov 13 08:10:40 groupadd[50843]: group added to /etc/group: name=_keytab, GID=499 <86>Nov 13 08:10:40 groupadd[50843]: group added to /etc/gshadow: name=_keytab <86>Nov 13 08:10:40 groupadd[50843]: new group: name=_keytab, GID=499 <13>Nov 13 08:10:40 rpmi: libkrb5-1.16.2-alt1 sisyphus.216047.100 1541159177 installed <13>Nov 13 08:10:40 rpmi: libssl10-1.0.2p-alt2 1535474186 installed <13>Nov 13 08:10:41 rpmi: ruby-stdlibs-2.5.1-alt4 sisyphus.209945.120 1537061465 installed <13>Nov 13 08:10:41 rpmi: ruby-2.5.1-alt4 sisyphus.209945.120 1537061465 installed Building target platforms: i586 Building for target i586 Wrote: /usr/src/in/nosrpm/auto-nng-1.7-alt2_3.1.nosrc.rpm Installing auto-nng-1.7-alt2_3.1.src.rpm Building target platforms: i586 Building for target i586 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.99282 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + rm -rf auto-nng.v1.7 + echo 'Source #0 (auto-nng.v1.7.tar.gz):' Source #0 (auto-nng.v1.7.tar.gz): + /bin/gzip -dc /usr/src/RPM/SOURCES/auto-nng.v1.7.tar.gz + /bin/tar -xf - + cd auto-nng.v1.7 + /bin/chmod -c -Rf u+rwX,go-w . + echo 'Patch #0 (auto-nng-cflags.patch):' Patch #0 (auto-nng-cflags.patch): + /usr/bin/patch -p1 -b --suffix .cflags patching file Makefile + exit 0 Executing(%build): /bin/sh -e /usr/src/tmp/rpm-tmp.99282 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make -j8 'CFLAGS=-pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -march=i586 -mtune=generic -o auto-nng auto-nng.c -lm auto-nng.c: In function 'main_generate': auto-nng.c:681:54: warning: 'continuous_input_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] for (i = 0; i < continuous_input_count; i++) printf("%f, %f\n", continuous_input_averages[i], continuous_input_stddevs[i]); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:681:54: warning: 'continuous_input_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c:686:11: warning: 'continuous_output_stddevs' may be used uninitialized in this function [-Wmaybe-uninitialized] printf(DOUBLE_FORMAT ", " DOUBLE_FORMAT "\n", continuous_output_averages[i], continuous_output_stddevs[i]); ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:686:11: warning: 'continuous_output_averages' may be used uninitialized in this function [-Wmaybe-uninitialized] auto-nng.c: In function 'main_run': auto-nng.c:771:11: warning: 'continuous_input_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] double *continuous_input_stats; ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:107: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] printf(DOUBLE_FORMAT, read_indicators(low_indicator, high_indicator) * continuous_output_stats[2*j+1] + continuous_output_stats[2*j]); ^ auto-nng.c:904:37: warning: 'continuous_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (continuous_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (binary_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (continuous_input_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (binary_input_cols[j] == i) { ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.48960 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + /bin/chmod -Rf u+rwX -- /usr/src/tmp/auto-nng-buildroot + : + /bin/rm -rf -- /usr/src/tmp/auto-nng-buildroot + cd auto-nng.v1.7 + mkdir -p /usr/src/tmp/auto-nng-buildroot//usr/bin/ + install auto-nng /usr/src/tmp/auto-nng-buildroot//usr/bin/ + /usr/lib/rpm/brp-alt Cleaning files in /usr/src/tmp/auto-nng-buildroot (auto) Verifying and fixing files in /usr/src/tmp/auto-nng-buildroot (binconfig,pkgconfig,libtool,desktop) Checking contents of files in /usr/src/tmp/auto-nng-buildroot/ (default) Compressing files in /usr/src/tmp/auto-nng-buildroot (auto) Verifying ELF objects in /usr/src/tmp/auto-nng-buildroot (arch=normal,fhs=normal,lfs=relaxed,lint=relaxed,rpath=normal,stack=normal,textrel=normal,unresolved=normal) verify-elf: WARNING: ./usr/bin/auto-nng: uses non-LFS functions: fopen Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.48960 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make test make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' ruby auto-nng-test.rb ================================================== auto-nng v1.7 Copyright (c) 2011 Public Software Group e. V. This software is EXPERIMENTAL and comes with ABSOLUTELY NO WARRANTY. web: http://www.public-software-group.org/ ================================================== Training error: 0.994948 / Test error: 0.995355 / Layer sizes: 10 3 1 Training error: 0.993811 / Test error: 0.994294 / Layer sizes: 10 3 3 1 Training error: 0.984071 / Test error: 0.985651 / Layer sizes: 10 3 1 Training error: 0.980050 / Test error: 0.980878 / Layer sizes: 10 7 1 Training error: 0.970378 / Test error: 0.972835 / Layer sizes: 10 3 1 Training error: 0.964334 / Test error: 0.967761 / Layer sizes: 10 3 1 Training error: 0.952568 / Test error: 0.958047 / Layer sizes: 10 3 1 Training error: 0.945422 / Test error: 0.951649 / Layer sizes: 10 3 1 Training error: 0.934099 / Test error: 0.938431 / Layer sizes: 10 1 Training error: 0.887465 / Test error: 0.892043 / Layer sizes: 10 1 Training error: 0.878487 / Test error: 0.873744 / Layer sizes: 10 1 Training error: 0.832319 / Test error: 0.829361 / Layer sizes: 10 1 Training error: 0.798896 / Test error: 0.805146 / Layer sizes: 10 1 Training error: 0.783269 / Test error: 0.800047 / Layer sizes: 10 1 Training error: 0.775032 / Test error: 0.787901 / Layer sizes: 10 1 Training error: 0.762087 / Test error: 0.786614 / Layer sizes: 10 1 Training error: 0.726215 / Test error: 0.766785 / Layer sizes: 10 1 Training error: 0.675483 / Test error: 0.741371 / Layer sizes: 10 1 Training error: 0.660979 / Test error: 0.732810 / Layer sizes: 10 1 Training error: 0.632495 / Test error: 0.712172 / Layer sizes: 10 1 Training error: 0.617200 / Test error: 0.691172 / Layer sizes: 10 1 Training error: 0.607110 / Test error: 0.674669 / Layer sizes: 10 1 Training error: 0.582128 / Test error: 0.660714 / Layer sizes: 10 1 Training error: 0.562306 / Test error: 0.639905 / Layer sizes: 10 1 Training error: 0.539564 / Test error: 0.624338 / Layer sizes: 10 1 Training error: 0.534106 / Test error: 0.618534 / Layer sizes: 10 1 Training error: 0.522824 / Test error: 0.615631 / Layer sizes: 10 1 Training error: 0.517986 / Test error: 0.611908 / Layer sizes: 10 1 Training error: 0.504680 / Test error: 0.610419 / Layer sizes: 10 1 Training error: 0.501808 / Test error: 0.610276 / Layer sizes: 10 1 Training error: 0.480666 / Test error: 0.587679 / Layer sizes: 10 1 Training error: 0.468500 / Test error: 0.575261 / Layer sizes: 10 1 Training error: 0.466631 / Test error: 0.567260 / Layer sizes: 10 1 Training error: 0.441717 / Test error: 0.564961 / Layer sizes: 10 1 Training error: 0.439983 / Test error: 0.563417 / Layer sizes: 10 1 Training error: 0.416807 / Test error: 0.557689 / Layer sizes: 10 1 Training error: 0.409399 / Test error: 0.532371 / Layer sizes: 10 1 Training error: 0.388034 / Test error: 0.521132 / Layer sizes: 10 1 Training error: 0.376388 / Test error: 0.511526 / Layer sizes: 10 1 Training error: 0.375806 / Test error: 0.504721 / Layer sizes: 10 1 Training error: 0.362864 / Test error: 0.493774 / Layer sizes: 10 1 Training error: 0.354148 / Test error: 0.481598 / Layer sizes: 10 1 Training error: 0.349572 / Test error: 0.472587 / Layer sizes: 10 1 Training error: 0.344722 / Test error: 0.470879 / Layer sizes: 10 1 Training error: 0.334481 / Test error: 0.462212 / Layer sizes: 10 1 Training error: 0.328101 / Test error: 0.462030 / Layer sizes: 10 1 Training error: 0.320571 / Test error: 0.461247 / Layer sizes: 10 1 Training error: 0.313612 / Test error: 0.450930 / Layer sizes: 10 1 Training error: 0.304878 / Test error: 0.441327 / Layer sizes: 10 1 Training error: 0.301923 / Test error: 0.433913 / Layer sizes: 10 1 Training error: 0.287187 / Test error: 0.432486 / Layer sizes: 10 1 Training error: 0.281769 / Test error: 0.423230 / Layer sizes: 10 1 Training error: 0.273653 / Test error: 0.417771 / Layer sizes: 10 1 Training error: 0.272855 / Test error: 0.411854 / Layer sizes: 10 1 Training error: 0.272365 / Test error: 0.406994 / Layer sizes: 10 1 Training error: 0.258509 / Test error: 0.404221 / Layer sizes: 10 1 Training error: 0.253012 / Test error: 0.401845 / Layer sizes: 10 1 Training error: 0.263064 / Test error: 0.391590 / Layer sizes: 10 10 1 Training error: 0.255547 / Test error: 0.384213 / Layer sizes: 10 10 1 Training error: 0.249749 / Test error: 0.378279 / Layer sizes: 10 10 1 Training error: 0.248619 / Test error: 0.373500 / Layer sizes: 10 10 1 Training error: 0.247186 / Test error: 0.370578 / Layer sizes: 10 10 1 Training error: 0.243041 / Test error: 0.363681 / Layer sizes: 10 10 1 Training error: 0.238713 / Test error: 0.357587 / Layer sizes: 10 10 1 Training error: 0.225681 / Test error: 0.355935 / Layer sizes: 10 10 1 Training error: 0.222958 / Test error: 0.354783 / Layer sizes: 10 10 1 Training error: 0.210420 / Test error: 0.353998 / Layer sizes: 10 10 1 Training error: 0.248973 / Test error: 0.353928 / Layer sizes: 10 7 1 Training error: 0.193883 / Test error: 0.336316 / Layer sizes: 10 10 1 Training error: 0.191274 / Test error: 0.335271 / Layer sizes: 10 10 1 Training error: 0.208634 / Test error: 0.330329 / Layer sizes: 10 9 4 1 Training error: 0.185536 / Test error: 0.328771 / Layer sizes: 10 9 4 1 Training error: 0.155383 / Test error: 0.325689 / Layer sizes: 10 3 1 Training error: 0.138031 / Test error: 0.316009 / Layer sizes: 10 9 4 1 Training error: 0.136214 / Test error: 0.313936 / Layer sizes: 10 9 4 1 Training error: 0.148510 / Test error: 0.311269 / Layer sizes: 10 3 1 Training error: 0.126051 / Test error: 0.297615 / Layer sizes: 10 9 4 1 Training error: 0.115738 / Test error: 0.291084 / Layer sizes: 10 3 1 Training error: 0.081276 / Test error: 0.288937 / Layer sizes: 10 10 1 Training error: 0.073829 / Test error: 0.286637 / Layer sizes: 10 10 1 Training error: 0.073246 / Test error: 0.286003 / Layer sizes: 10 10 1 Training error: 0.071556 / Test error: 0.285500 / Layer sizes: 10 10 1 Training error: 0.058607 / Test error: 0.283311 / Layer sizes: 10 10 1 Training error: 0.058119 / Test error: 0.277680 / Layer sizes: 10 10 1 Training error: 0.048460 / Test error: 0.277052 / Layer sizes: 10 7 1 Training error: 0.027603 / Test error: 0.270258 / Layer sizes: 10 10 1 Training error: 0.026977 / Test error: 0.269195 / Layer sizes: 10 10 1 Training error: 0.040066 / Test error: 0.268967 / Layer sizes: 10 7 1 Training error: 0.026501 / Test error: 0.262841 / Layer sizes: 10 10 1 Training error: 0.039385 / Test error: 0.255593 / Layer sizes: 10 7 1 Training error: 0.036237 / Test error: 0.248321 / Layer sizes: 10 7 1 Training error: 0.035977 / Test error: 0.242116 / Layer sizes: 10 7 1 Training error: 0.035902 / Test error: 0.229676 / Layer sizes: 10 7 1 Training error: 0.002796 / Test error: 0.226036 / Layer sizes: 10 3 3 1 Training error: 0.001098 / Test error: 0.209740 / Layer sizes: 10 3 3 1 Training error: 0.001078 / Test error: 0.198296 / Layer sizes: 10 3 3 1 Training error: 0.000147 / Test error: 0.195454 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.166657 / Layer sizes: 10 9 4 1 Finishing... ================================================== auto-nng v1.7 Copyright (c) 2011 Public Software Group e. V. This software is EXPERIMENTAL and comes with ABSOLUTELY NO WARRANTY. web: http://www.public-software-group.org/ ================================================== Loading neuronal network from file "test.network.nn". Network loaded, processing data. 83.06 % correct. 16.94 % wrong. Limit: 18.41 %. Test passed. make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Processing files: auto-nng-1.7-alt2_3.1 Executing(%doc): /bin/sh -e /usr/src/tmp/rpm-tmp.48229 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + DOCDIR=/usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + export DOCDIR + rm -rf /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + /bin/mkdir -p /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + cp -prL LICENSE README /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + chmod -R go-w /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + chmod -R a+rX /usr/src/tmp/auto-nng-buildroot/usr/share/doc/auto-nng-1.7 + exit 0 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.0mAW2n find-provides: running scripts (alternatives,debuginfo,lib,pam,perl,pkgconfig,python,shell) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Vnh9UN find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) Requires: /lib/ld-linux.so.2, libc.so.6(GLIBC_2.0), libc.so.6(GLIBC_2.1), libc.so.6(GLIBC_2.3.4), libc.so.6(GLIBC_2.4), libm.so.6(GLIBC_2.0), libm.so.6(GLIBC_2.1), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.1dtqFv Creating auto-nng-debuginfo package Processing files: auto-nng-debuginfo-1.7-alt2_3.1 Finding Provides (using /usr/lib/rpm/find-provides) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.8R8Bnq find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.3i4jns find-requires: running scripts (debuginfo) Requires: auto-nng = 1.7-alt2_3.1, /usr/lib/debug/lib/ld-linux.so.2.debug, debug(libc.so.6), debug(libm.so.6) Wrote: /usr/src/RPM/RPMS/i586/auto-nng-1.7-alt2_3.1.i586.rpm Wrote: /usr/src/RPM/RPMS/i586/auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm 86.65user 0.44system 1:38.76elapsed 88%CPU (0avgtext+0avgdata 34904maxresident)k 0inputs+0outputs (0major+146250minor)pagefaults 0swaps 100.19user 4.40system 1:59.10elapsed 87%CPU (0avgtext+0avgdata 122972maxresident)k 0inputs+0outputs (0major+557478minor)pagefaults 0swaps