<86>Mar 7 06:05:53 userdel[270503]: delete user 'rooter' <86>Mar 7 06:05:53 userdel[270503]: removed group 'rooter' owned by 'rooter' <86>Mar 7 06:05:53 userdel[270503]: removed shadow group 'rooter' owned by 'rooter' <86>Mar 7 06:05:53 groupadd[270512]: group added to /etc/group: name=rooter, GID=639 <86>Mar 7 06:05:53 groupadd[270512]: group added to /etc/gshadow: name=rooter <86>Mar 7 06:05:53 groupadd[270512]: new group: name=rooter, GID=639 <86>Mar 7 06:05:53 useradd[270522]: new user: name=rooter, UID=639, GID=639, home=/root, shell=/bin/bash <86>Mar 7 06:05:53 userdel[270537]: delete user 'builder' <86>Mar 7 06:05:53 userdel[270537]: removed group 'builder' owned by 'builder' <86>Mar 7 06:05:53 userdel[270537]: removed shadow group 'builder' owned by 'builder' <86>Mar 7 06:05:53 groupadd[270548]: group added to /etc/group: name=builder, GID=640 <86>Mar 7 06:05:53 groupadd[270548]: group added to /etc/gshadow: name=builder <86>Mar 7 06:05:53 groupadd[270548]: new group: name=builder, GID=640 <86>Mar 7 06:05:53 useradd[270555]: new user: name=builder, UID=640, GID=640, home=/usr/src, shell=/bin/bash <13>Mar 7 06:05:56 rpmi: libruby-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Mar 7 06:05:56 rpmi: libp11-kit-0.23.15-alt2 p9+254920.2400.19.1 1601385869 installed <13>Mar 7 06:05:56 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed <13>Mar 7 06:05:56 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Mar 7 06:05:56 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342720 installed <13>Mar 7 06:05:56 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Mar 7 06:05:56 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Mar 7 06:05:56 rpmi: ca-certificates-2020.06.29-alt1 p9+258899.100.3.1 1601998604 installed <13>Mar 7 06:05:56 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed <13>Mar 7 06:05:56 rpmi: p11-kit-trust-0.23.15-alt2 p9+254920.2400.19.1 1601385869 installed <13>Mar 7 06:05:56 rpmi: libcrypto1.1-1.1.1i-alt2 p9+264846.100.1.1 1610982871 installed <13>Mar 7 06:05:56 rpmi: libssl1.1-1.1.1i-alt2 p9+264846.100.1.1 1610982871 installed <13>Mar 7 06:05:56 rpmi: openssl-1.1.1i-alt2 p9+264846.100.1.1 1610982871 installed <13>Mar 7 06:05:57 rpmi: ruby-rubygems-update-3.0.4-alt1 p9+247371.35300.135.1 1590436206 installed <13>Mar 7 06:05:57 rpmi: gem-did-you-mean-1.3.0-alt2.1 p9+247371.40400.161.1 1591376055 installed <13>Mar 7 06:05:57 rpmi: gem-minitest-5.14.0-alt1.1 p9+247371.67710.170.1 1592235999 installed <13>Mar 7 06:05:57 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Mar 7 06:05:57 rpmi: gem-rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Mar 7 06:05:57 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Mar 7 06:05:57 rpmi: gem-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Mar 7 06:05:57 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 7 06:05:57 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 7 06:05:57 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Mar 7 06:05:57 rpmi: rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Mar 7 06:05:57 rpmi: erb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Mar 7 06:05:57 rpmi: irb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Mar 7 06:05:58 rpmi: gem-bundler-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Mar 7 06:05:58 rpmi: gem-test-unit-3.3.5-alt0.1 p9+247371.60440.162.1 1591424158 installed <13>Mar 7 06:05:58 rpmi: gem-power-assert-1.1.7-alt1 p9+247371.60200.162.1 1591424056 installed <13>Mar 7 06:05:59 rpmi: ruby-stdlibs-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Mar 7 06:05:59 rpmi: bundle-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Mar 7 06:05:59 rpmi: ruby-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed Building target platforms: x86_64 Building for target x86_64 Wrote: /usr/src/in/nosrpm/auto-nng-1.7-alt2_3.1.nosrc.rpm (w1.gzdio) Installing auto-nng-1.7-alt2_3.1.src.rpm Building target platforms: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.40129 + 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.40129 + 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' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -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:770:8: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] int *continuous_input_cols; ^~~~~~~~~~~~~~~~~~~~~ auto-nng.c:872:91: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] for (i = 0; i < binary_input_count; i++) input_values[i] = values[binary_input_cols[i]]; ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.17377 + 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 + PATH=/usr/libexec/rpm-build:/usr/src/bin:/bin:/usr/bin:/usr/X11R6/bin:/usr/games + 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,gnuconfig) 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) Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.32733 + 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: 0.992388 / Test error: 0.983492 / Layer sizes: 10 3 3 1 Training error: 0.977924 / Test error: 0.949508 / Layer sizes: 10 1 Training error: 0.962285 / Test error: 0.927667 / Layer sizes: 10 1 Training error: 0.919590 / Test error: 0.891270 / Layer sizes: 10 1 Training error: 0.916461 / Test error: 0.870177 / Layer sizes: 10 1 Training error: 0.893171 / Test error: 0.848539 / Layer sizes: 10 1 Training error: 0.887493 / Test error: 0.839409 / Layer sizes: 10 1 Training error: 0.873152 / Test error: 0.825046 / Layer sizes: 10 1 Training error: 0.870699 / Test error: 0.813255 / Layer sizes: 10 1 Training error: 0.857170 / Test error: 0.794827 / Layer sizes: 10 1 Training error: 0.842066 / Test error: 0.774713 / Layer sizes: 10 1 Training error: 0.813428 / Test error: 0.730995 / Layer sizes: 10 1 Training error: 0.812679 / Test error: 0.721641 / Layer sizes: 10 1 Training error: 0.797240 / Test error: 0.702740 / Layer sizes: 10 1 Training error: 0.785395 / Test error: 0.700354 / Layer sizes: 10 1 Training error: 0.769095 / Test error: 0.683897 / Layer sizes: 10 1 Training error: 0.765963 / Test error: 0.675181 / Layer sizes: 10 1 Training error: 0.749911 / Test error: 0.667964 / Layer sizes: 10 1 Training error: 0.737794 / Test error: 0.648388 / Layer sizes: 10 1 Training error: 0.706170 / Test error: 0.623263 / Layer sizes: 10 1 Training error: 0.702278 / Test error: 0.617693 / Layer sizes: 10 1 Training error: 0.673583 / Test error: 0.592892 / Layer sizes: 10 1 Training error: 0.653187 / Test error: 0.569506 / Layer sizes: 10 1 Training error: 0.642728 / Test error: 0.556270 / Layer sizes: 10 1 Training error: 0.629505 / Test error: 0.553201 / Layer sizes: 10 1 Training error: 0.626905 / Test error: 0.551474 / Layer sizes: 10 1 Training error: 0.612095 / Test error: 0.541984 / Layer sizes: 10 1 Training error: 0.602046 / Test error: 0.525930 / Layer sizes: 10 1 Training error: 0.591210 / Test error: 0.523538 / Layer sizes: 10 1 Training error: 0.574102 / Test error: 0.500313 / Layer sizes: 10 1 Training error: 0.568575 / Test error: 0.492872 / Layer sizes: 10 1 Training error: 0.561347 / Test error: 0.476375 / Layer sizes: 10 1 Training error: 0.553586 / Test error: 0.471863 / Layer sizes: 10 1 Training error: 0.546695 / Test error: 0.465428 / Layer sizes: 10 1 Training error: 0.540775 / Test error: 0.463726 / Layer sizes: 10 1 Training error: 0.539466 / Test error: 0.455314 / Layer sizes: 10 1 Training error: 0.525174 / Test error: 0.450959 / Layer sizes: 10 1 Training error: 0.514384 / Test error: 0.449388 / Layer sizes: 10 1 Training error: 0.493778 / Test error: 0.439825 / Layer sizes: 10 1 Training error: 0.489102 / Test error: 0.429604 / Layer sizes: 10 1 Training error: 0.488676 / Test error: 0.425602 / Layer sizes: 10 1 Training error: 0.471716 / Test error: 0.424685 / Layer sizes: 10 1 Training error: 0.467638 / Test error: 0.414700 / Layer sizes: 10 1 Training error: 0.463477 / Test error: 0.409002 / Layer sizes: 10 1 Training error: 0.428315 / Test error: 0.408933 / Layer sizes: 10 1 Training error: 0.420302 / Test error: 0.407269 / Layer sizes: 10 1 Training error: 0.416392 / Test error: 0.406866 / Layer sizes: 10 1 Training error: 0.408550 / Test error: 0.397207 / Layer sizes: 10 1 Training error: 0.405637 / Test error: 0.391085 / Layer sizes: 10 1 Training error: 0.398825 / Test error: 0.390005 / Layer sizes: 10 1 Training error: 0.393852 / Test error: 0.380679 / Layer sizes: 10 1 Training error: 0.392507 / Test error: 0.369008 / Layer sizes: 10 1 Training error: 0.391103 / Test error: 0.364122 / Layer sizes: 10 1 Training error: 0.390082 / Test error: 0.362069 / Layer sizes: 10 1 Training error: 0.382024 / Test error: 0.355853 / Layer sizes: 10 1 Training error: 0.381421 / Test error: 0.346091 / Layer sizes: 10 1 Training error: 0.368671 / Test error: 0.332474 / Layer sizes: 10 1 Training error: 0.365816 / Test error: 0.328247 / Layer sizes: 10 1 Training error: 0.364957 / Test error: 0.321677 / Layer sizes: 10 1 Training error: 0.362199 / Test error: 0.317252 / Layer sizes: 10 1 Training error: 0.358372 / Test error: 0.315938 / Layer sizes: 10 1 Training error: 0.329881 / Test error: 0.314441 / Layer sizes: 10 10 1 Training error: 0.288437 / Test error: 0.312801 / Layer sizes: 10 7 1 Training error: 0.316172 / Test error: 0.310128 / Layer sizes: 10 10 1 Training error: 0.309104 / Test error: 0.299888 / Layer sizes: 10 10 1 Training error: 0.304049 / Test error: 0.296625 / Layer sizes: 10 10 1 Training error: 0.294477 / Test error: 0.293295 / Layer sizes: 10 10 1 Training error: 0.294289 / Test error: 0.283987 / Layer sizes: 10 10 1 Training error: 0.292355 / Test error: 0.279272 / Layer sizes: 10 10 1 Training error: 0.291535 / Test error: 0.271577 / Layer sizes: 10 10 1 Training error: 0.277170 / Test error: 0.270720 / Layer sizes: 10 10 1 Training error: 0.276580 / Test error: 0.270308 / Layer sizes: 10 10 1 Training error: 0.264637 / Test error: 0.268666 / Layer sizes: 10 10 1 Training error: 0.209661 / Test error: 0.268653 / Layer sizes: 10 10 1 Training error: 0.209377 / Test error: 0.259344 / Layer sizes: 10 10 1 Training error: 0.200339 / Test error: 0.256879 / Layer sizes: 10 10 1 Training error: 0.166179 / Test error: 0.256626 / Layer sizes: 10 10 1 Training error: 0.165113 / Test error: 0.251033 / Layer sizes: 10 10 1 Training error: 0.157928 / Test error: 0.242371 / Layer sizes: 10 10 1 Training error: 0.157259 / Test error: 0.233326 / Layer sizes: 10 10 1 Training error: 0.131627 / Test error: 0.230802 / Layer sizes: 10 10 1 Training error: 0.130728 / Test error: 0.229715 / Layer sizes: 10 10 1 Training error: 0.115998 / Test error: 0.228519 / Layer sizes: 10 10 1 Training error: 0.115822 / Test error: 0.228032 / Layer sizes: 10 10 1 Training error: 0.115203 / Test error: 0.226490 / Layer sizes: 10 10 1 Training error: 0.128634 / Test error: 0.225822 / Layer sizes: 10 7 1 Training error: 0.127395 / Test error: 0.223440 / Layer sizes: 10 7 1 Training error: 0.125075 / Test error: 0.222000 / Layer sizes: 10 7 1 Training error: 0.124512 / Test error: 0.219953 / Layer sizes: 10 7 1 Training error: 0.124310 / Test error: 0.219095 / Layer sizes: 10 7 1 Training error: 0.124191 / Test error: 0.217036 / Layer sizes: 10 7 1 Training error: 0.124015 / Test error: 0.215146 / Layer sizes: 10 7 1 Training error: 0.123889 / Test error: 0.210211 / Layer sizes: 10 7 1 Training error: 0.123708 / Test error: 0.209878 / Layer sizes: 10 7 1 Training error: 0.112614 / Test error: 0.204453 / Layer sizes: 10 7 1 Training error: 0.110011 / Test error: 0.203214 / Layer sizes: 10 7 1 Training error: 0.109438 / Test error: 0.198872 / Layer sizes: 10 7 1 Training error: 0.107333 / Test error: 0.196513 / Layer sizes: 10 7 1 Training error: 0.107263 / Test error: 0.195832 / Layer sizes: 10 7 1 Training error: 0.106468 / Test error: 0.194541 / Layer sizes: 10 7 1 Training error: 0.106410 / Test error: 0.192265 / Layer sizes: 10 7 1 Training error: 0.106239 / Test error: 0.191514 / Layer sizes: 10 7 1 Training error: 0.106202 / Test error: 0.189960 / Layer sizes: 10 7 1 Training error: 0.102019 / Test error: 0.189057 / Layer sizes: 10 7 1 Training error: 0.101808 / Test error: 0.187974 / Layer sizes: 10 7 1 Training error: 0.100175 / Test error: 0.186640 / Layer sizes: 10 7 1 Training error: 0.100131 / Test error: 0.183742 / Layer sizes: 10 7 1 Training error: 0.099984 / Test error: 0.181576 / Layer sizes: 10 7 1 Training error: 0.098021 / Test error: 0.178788 / Layer sizes: 10 7 1 Training error: 0.093631 / Test error: 0.176169 / Layer sizes: 10 7 1 Training error: 0.093478 / Test error: 0.172098 / Layer sizes: 10 7 1 Training error: 0.093461 / Test error: 0.168781 / Layer sizes: 10 7 1 Training error: 0.093204 / Test error: 0.163353 / Layer sizes: 10 7 1 Training error: 0.093193 / Test error: 0.162630 / Layer sizes: 10 7 1 Training error: 0.092963 / Test error: 0.161665 / Layer sizes: 10 7 1 Training error: 0.091774 / Test error: 0.159063 / Layer sizes: 10 7 1 Training error: 0.091560 / Test error: 0.158504 / Layer sizes: 10 7 1 Training error: 0.090914 / Test error: 0.157002 / Layer sizes: 10 7 1 Training error: 0.089315 / Test error: 0.154806 / Layer sizes: 10 7 1 Training error: 0.089170 / Test error: 0.153628 / Layer sizes: 10 7 1 Training error: 0.089148 / Test error: 0.152595 / Layer sizes: 10 7 1 Training error: 0.088993 / Test error: 0.152383 / Layer sizes: 10 7 1 Training error: 0.053983 / Test error: 0.149539 / Layer sizes: 10 7 1 Training error: 0.046926 / Test error: 0.147128 / Layer sizes: 10 7 1 Training error: 0.046855 / Test error: 0.140682 / Layer sizes: 10 7 1 Training error: 0.045813 / Test error: 0.139803 / Layer sizes: 10 7 1 Training error: 0.045812 / Test error: 0.138926 / Layer sizes: 10 7 1 Training error: 0.045731 / Test error: 0.136053 / Layer sizes: 10 7 1 Training error: 0.045721 / Test error: 0.133426 / Layer sizes: 10 7 1 Training error: 0.045708 / Test error: 0.129820 / Layer sizes: 10 7 1 Training error: 0.045629 / Test error: 0.124551 / Layer sizes: 10 7 1 Training error: 0.045618 / Test error: 0.121091 / Layer sizes: 10 7 1 Training error: 0.044868 / Test error: 0.119507 / Layer sizes: 10 7 1 Training error: 0.044777 / Test error: 0.119266 / Layer sizes: 10 7 1 Training error: 0.044737 / Test error: 0.116770 / Layer sizes: 10 7 1 Training error: 0.044590 / Test error: 0.115707 / Layer sizes: 10 7 1 Training error: 0.044503 / Test error: 0.109799 / Layer sizes: 10 7 1 Training error: 0.044442 / Test error: 0.103273 / Layer sizes: 10 7 1 Training error: 0.044415 / Test error: 0.093476 / Layer sizes: 10 7 1 Training error: 0.044331 / Test error: 0.089748 / Layer sizes: 10 7 1 Training error: 0.044311 / Test error: 0.076137 / Layer sizes: 10 7 1 Training error: 0.044240 / Test error: 0.073710 / Layer sizes: 10 7 1 Training error: 0.044131 / Test error: 0.068710 / Layer sizes: 10 7 1 Training error: 0.044108 / Test error: 0.062366 / Layer sizes: 10 7 1 Training error: 0.043429 / Test error: 0.060048 / Layer sizes: 10 7 1 Training error: 0.000000 / Test error: 0.041667 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 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. 88.18 % correct. 11.82 % wrong. Limit: 17.83 %. 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.17116 + 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.cp5ENn 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.KttiEi find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services) Requires: /lib64/ld-linux-x86-64.so.2, libc.so.6(GLIBC_2.14)(64bit), libc.so.6(GLIBC_2.2.5)(64bit), libc.so.6(GLIBC_2.3.4)(64bit), libc.so.6(GLIBC_2.4)(64bit), libm.so.6(GLIBC_2.2.5)(64bit), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.xLM7Yg 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.jry9Hi find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.K6Q0Pn find-requires: running scripts (debuginfo) Requires: auto-nng = 1.7-alt2_3.1, /usr/lib/debug/lib64/ld-linux-x86-64.so.2.debug, debug64(libc.so.6), debug64(libm.so.6) Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-1.7-alt2_3.1.x86_64.rpm (w2.lzdio) Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-debuginfo-1.7-alt2_3.1.x86_64.rpm (w2.lzdio) 92.83user 1.28system 1:40.66elapsed 93%CPU (0avgtext+0avgdata 46772maxresident)k 0inputs+0outputs (0major+201267minor)pagefaults 0swaps 101.95user 6.81system 1:54.26elapsed 95%CPU (0avgtext+0avgdata 115808maxresident)k 0inputs+0outputs (0major+534182minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.x86_64.rpm.repo 2013-04-03 05:20:55.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.x86_64.rpm.hasher 2021-03-07 06:07:44.352750421 +0000 @@ -5,2 +5,3 @@ Requires: /lib64/ld-linux-x86-64.so.2 +Requires: libc.so.6(GLIBC_2.14)(64bit) Requires: libc.so.6(GLIBC_2.2.5)(64bit)