<86>Mar 13 13:19:33 userdel[2403265]: delete user 'rooter' <86>Mar 13 13:19:33 userdel[2403265]: removed group 'rooter' owned by 'rooter' <86>Mar 13 13:19:33 groupadd[2403273]: group added to /etc/group: name=rooter, GID=591 <86>Mar 13 13:19:33 groupadd[2403273]: group added to /etc/gshadow: name=rooter <86>Mar 13 13:19:33 groupadd[2403273]: new group: name=rooter, GID=591 <86>Mar 13 13:19:33 useradd[2403287]: new user: name=rooter, UID=591, GID=591, home=/root, shell=/bin/bash <86>Mar 13 13:19:33 userdel[2403304]: delete user 'builder' <86>Mar 13 13:19:33 userdel[2403304]: removed group 'builder' owned by 'builder' <86>Mar 13 13:19:33 userdel[2403304]: removed shadow group 'builder' owned by 'builder' <86>Mar 13 13:19:33 groupadd[2403313]: group added to /etc/group: name=builder, GID=592 <86>Mar 13 13:19:33 groupadd[2403313]: group added to /etc/gshadow: name=builder <86>Mar 13 13:19:33 groupadd[2403313]: new group: name=builder, GID=592 <86>Mar 13 13:19:33 useradd[2403319]: new user: name=builder, UID=592, GID=592, home=/usr/src, shell=/bin/bash <13>Mar 13 13:19:36 rpmi: libruby-2.5.5-alt4.2 sisyphus+246908.100.1.1 1582630167 installed <13>Mar 13 13:19:36 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Mar 13 13:19:36 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Mar 13 13:19:36 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Mar 13 13:19:36 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Mar 13 13:19:36 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Mar 13 13:19:36 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Mar 13 13:19:36 rpmi: ca-certificates-2020.01.23-alt1 sisyphus+244791.300.2.1 1580285500 installed <13>Mar 13 13:19:36 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Mar 13 13:19:36 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Mar 13 13:19:36 rpmi: libcrypto1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Mar 13 13:19:36 rpmi: libssl1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Mar 13 13:19:36 rpmi: openssl-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Mar 13 13:19:36 rpmi: ruby-rubygems-update-3.0.4-alt1 sisyphus+231621.240.57.1 1567243682 installed <13>Mar 13 13:19:36 rpmi: gem-did-you-mean-1.3.0-alt2.1 sisyphus+237310.1100.2.1 1568211939 installed <13>Mar 13 13:19:36 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Mar 13 13:19:36 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Mar 13 13:19:36 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Mar 13 13:19:36 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Mar 13 13:19:36 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Mar 13 13:19:36 rpmi: gem-2.5.5-alt4.2 sisyphus+246908.100.1.1 1582630116 installed <13>Mar 13 13:19:36 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 13 13:19:36 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 13 13:19:36 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 13 13:19:36 rpmi: erb-2.5.5-alt4.2 sisyphus+246908.100.1.1 1582630116 installed <13>Mar 13 13:19:36 rpmi: irb-2.5.5-alt4.2 sisyphus+246908.100.1.1 1582630116 installed <13>Mar 13 13:19:36 rpmi: rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Mar 13 13:19:36 rpmi: ruby-rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Mar 13 13:19:36 rpmi: ruby-stdlibs-2.5.5-alt4.2 sisyphus+246908.100.1.1 1582630167 installed <13>Mar 13 13:19:36 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Mar 13 13:19:36 rpmi: ruby-2.5.5-alt4.2 sisyphus+246908.100.1.1 1582630167 installed <13>Mar 13 13:19:38 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 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.92689 + 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.92689 + 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] 681 | 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] 686 | 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] 771 | double *continuous_input_stats; | ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:140: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 910 | 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] 904 | if (continuous_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 897 | if (binary_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 890 | if (continuous_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 883 | 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.33825 + 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.79840 + 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: 0.995077 / Test error: 0.995309 / Layer sizes: 10 7 1 Training error: 0.986928 / Test error: 0.986934 / Layer sizes: 10 9 4 1 Training error: 0.973684 / Test error: 0.981660 / Layer sizes: 10 1 Training error: 0.974421 / Test error: 0.974438 / Layer sizes: 10 9 4 1 Training error: 0.970832 / Test error: 0.970960 / Layer sizes: 10 9 4 1 Training error: 0.953386 / Test error: 0.953008 / Layer sizes: 10 1 Training error: 0.949882 / Test error: 0.952880 / Layer sizes: 10 7 1 Training error: 0.951705 / Test error: 0.951613 / Layer sizes: 10 9 4 1 Training error: 0.948736 / Test error: 0.948822 / Layer sizes: 10 10 10 1 Training error: 0.927535 / Test error: 0.931147 / Layer sizes: 10 7 1 Training error: 0.901648 / Test error: 0.897357 / Layer sizes: 10 1 Training error: 0.886499 / Test error: 0.891331 / Layer sizes: 10 7 1 Training error: 0.865437 / Test error: 0.872386 / Layer sizes: 10 1 Training error: 0.859686 / Test error: 0.856851 / Layer sizes: 10 1 Training error: 0.854270 / Test error: 0.836120 / Layer sizes: 10 1 Training error: 0.833966 / Test error: 0.833046 / Layer sizes: 10 1 Training error: 0.788190 / Test error: 0.793665 / Layer sizes: 10 1 Training error: 0.782917 / Test error: 0.780399 / Layer sizes: 10 1 Training error: 0.778406 / Test error: 0.776264 / Layer sizes: 10 1 Training error: 0.767223 / Test error: 0.761118 / Layer sizes: 10 1 Training error: 0.751829 / Test error: 0.753778 / Layer sizes: 10 1 Training error: 0.748716 / Test error: 0.746569 / Layer sizes: 10 1 Training error: 0.736954 / Test error: 0.728675 / Layer sizes: 10 1 Training error: 0.733200 / Test error: 0.712216 / Layer sizes: 10 1 Training error: 0.716730 / Test error: 0.692003 / Layer sizes: 10 1 Training error: 0.691114 / Test error: 0.683012 / Layer sizes: 10 1 Training error: 0.683311 / Test error: 0.659140 / Layer sizes: 10 1 Training error: 0.676240 / Test error: 0.650172 / Layer sizes: 10 1 Training error: 0.663846 / Test error: 0.646798 / Layer sizes: 10 1 Training error: 0.636719 / Test error: 0.624860 / Layer sizes: 10 1 Training error: 0.633681 / Test error: 0.623744 / Layer sizes: 10 1 Training error: 0.612125 / Test error: 0.607425 / Layer sizes: 10 1 Training error: 0.596105 / Test error: 0.580545 / Layer sizes: 10 1 Training error: 0.580482 / Test error: 0.561208 / Layer sizes: 10 1 Training error: 0.567254 / Test error: 0.549348 / Layer sizes: 10 1 Training error: 0.536177 / Test error: 0.548914 / Layer sizes: 10 1 Training error: 0.532148 / Test error: 0.535444 / Layer sizes: 10 1 Training error: 0.525250 / Test error: 0.528968 / Layer sizes: 10 1 Training error: 0.506666 / Test error: 0.528700 / Layer sizes: 10 1 Training error: 0.503565 / Test error: 0.516045 / Layer sizes: 10 1 Training error: 0.494709 / Test error: 0.501916 / Layer sizes: 10 1 Training error: 0.494006 / Test error: 0.500277 / Layer sizes: 10 1 Training error: 0.488844 / Test error: 0.487944 / Layer sizes: 10 1 Training error: 0.485490 / Test error: 0.479336 / Layer sizes: 10 1 Training error: 0.477262 / Test error: 0.474714 / Layer sizes: 10 1 Training error: 0.477042 / Test error: 0.470399 / Layer sizes: 10 1 Training error: 0.476669 / Test error: 0.455585 / Layer sizes: 10 1 Training error: 0.469555 / Test error: 0.451576 / Layer sizes: 10 1 Training error: 0.461953 / Test error: 0.437856 / Layer sizes: 10 1 Training error: 0.454436 / Test error: 0.433783 / Layer sizes: 10 1 Training error: 0.442434 / Test error: 0.425983 / Layer sizes: 10 1 Training error: 0.430181 / Test error: 0.416223 / Layer sizes: 10 1 Training error: 0.419164 / Test error: 0.404729 / Layer sizes: 10 1 Training error: 0.392485 / Test error: 0.401812 / Layer sizes: 10 1 Training error: 0.390895 / Test error: 0.401450 / Layer sizes: 10 1 Training error: 0.383176 / Test error: 0.396239 / Layer sizes: 10 1 Training error: 0.380180 / Test error: 0.389098 / Layer sizes: 10 1 Training error: 0.377707 / Test error: 0.380612 / Layer sizes: 10 1 Training error: 0.373256 / Test error: 0.371015 / Layer sizes: 10 1 Training error: 0.365301 / Test error: 0.368713 / Layer sizes: 10 1 Training error: 0.362997 / Test error: 0.364653 / Layer sizes: 10 1 Training error: 0.360661 / Test error: 0.364056 / Layer sizes: 10 1 Training error: 0.359466 / Test error: 0.361627 / Layer sizes: 10 1 Training error: 0.358415 / Test error: 0.360810 / Layer sizes: 10 1 Training error: 0.356156 / Test error: 0.355017 / Layer sizes: 10 1 Training error: 0.344577 / Test error: 0.354965 / Layer sizes: 10 1 Training error: 0.344460 / Test error: 0.353742 / Layer sizes: 10 1 Training error: 0.340886 / Test error: 0.353601 / Layer sizes: 10 1 Training error: 0.334354 / Test error: 0.353281 / Layer sizes: 10 1 Training error: 0.316662 / Test error: 0.348150 / Layer sizes: 10 1 Training error: 0.335223 / Test error: 0.346715 / Layer sizes: 10 10 1 Training error: 0.326603 / Test error: 0.344174 / Layer sizes: 10 10 1 Training error: 0.333446 / Test error: 0.338119 / Layer sizes: 10 10 10 1 Training error: 0.297223 / Test error: 0.330606 / Layer sizes: 10 10 10 1 Training error: 0.284981 / Test error: 0.323748 / Layer sizes: 10 10 1 Training error: 0.280268 / Test error: 0.320129 / Layer sizes: 10 10 1 Training error: 0.251085 / Test error: 0.310753 / Layer sizes: 10 10 1 Training error: 0.246718 / Test error: 0.308083 / Layer sizes: 10 10 1 Training error: 0.233066 / Test error: 0.302746 / Layer sizes: 10 10 1 Training error: 0.232594 / Test error: 0.295450 / Layer sizes: 10 10 1 Training error: 0.229619 / Test error: 0.291058 / Layer sizes: 10 10 1 Training error: 0.225249 / Test error: 0.289167 / Layer sizes: 10 10 1 Training error: 0.218482 / Test error: 0.279297 / Layer sizes: 10 10 1 Training error: 0.192844 / Test error: 0.275795 / Layer sizes: 10 10 1 Training error: 0.192357 / Test error: 0.263731 / Layer sizes: 10 10 1 Training error: 0.188251 / Test error: 0.259026 / Layer sizes: 10 10 1 Training error: 0.187496 / Test error: 0.257491 / Layer sizes: 10 10 1 Training error: 0.185095 / Test error: 0.252774 / Layer sizes: 10 10 1 Training error: 0.178850 / Test error: 0.242240 / Layer sizes: 10 10 1 Training error: 0.162550 / Test error: 0.239560 / Layer sizes: 10 10 1 Training error: 0.159585 / Test error: 0.237527 / Layer sizes: 10 10 1 Training error: 0.158961 / Test error: 0.231314 / Layer sizes: 10 10 1 Training error: 0.130498 / Test error: 0.229298 / Layer sizes: 10 10 1 Training error: 0.128556 / Test error: 0.226959 / Layer sizes: 10 10 1 Training error: 0.127478 / Test error: 0.214500 / Layer sizes: 10 10 1 Training error: 0.126681 / Test error: 0.213605 / Layer sizes: 10 10 1 Training error: 0.126646 / Test error: 0.207030 / Layer sizes: 10 10 1 Training error: 0.126208 / Test error: 0.196853 / Layer sizes: 10 10 1 Training error: 0.125689 / Test error: 0.192845 / Layer sizes: 10 10 1 Training error: 0.001508 / Test error: 0.182576 / Layer sizes: 10 9 4 1 Training error: 0.000415 / Test error: 0.179385 / Layer sizes: 10 9 4 1 Training error: 0.000385 / Test error: 0.159543 / Layer sizes: 10 9 4 1 Training error: 0.000042 / Test error: 0.156675 / Layer sizes: 10 9 4 1 Training error: 0.000042 / Test error: 0.124250 / Layer sizes: 10 9 4 1 Training error: 0.000001 / Test error: 0.083250 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.083245 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.041661 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / 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. 91.48 % correct. 8.52 % wrong. Limit: 17.40 %. 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.2072 + 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.9jmpOG 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.vks4WH find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services) 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), libm.so.6(GLIBC_2.29), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.OzZgVJ 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.oVHwAJ find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.X68eIK 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 56.64user 0.62system 1:41.65elapsed 56%CPU (0avgtext+0avgdata 35856maxresident)k 0inputs+0outputs (0major+161200minor)pagefaults 0swaps 62.57user 3.32system 1:53.33elapsed 58%CPU (0avgtext+0avgdata 108976maxresident)k 0inputs+0outputs (0major+480976minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.i586.rpm.repo 2013-04-03 05:20:58.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.i586.rpm.hasher 2020-03-13 13:21:24.746087831 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)