<86>Feb 21 06:12:09 userdel[2415271]: delete user 'rooter' <86>Feb 21 06:12:09 userdel[2415271]: removed group 'rooter' owned by 'rooter' <86>Feb 21 06:12:09 userdel[2415271]: removed shadow group 'rooter' owned by 'rooter' <86>Feb 21 06:12:09 groupadd[2415288]: group added to /etc/group: name=rooter, GID=696 <86>Feb 21 06:12:09 groupadd[2415288]: group added to /etc/gshadow: name=rooter <86>Feb 21 06:12:09 groupadd[2415288]: new group: name=rooter, GID=696 <86>Feb 21 06:12:09 useradd[2415300]: new user: name=rooter, UID=696, GID=696, home=/root, shell=/bin/bash <86>Feb 21 06:12:09 userdel[2415318]: delete user 'builder' <86>Feb 21 06:12:09 userdel[2415318]: removed group 'builder' owned by 'builder' <86>Feb 21 06:12:09 userdel[2415318]: removed shadow group 'builder' owned by 'builder' <86>Feb 21 06:12:09 groupadd[2415332]: group added to /etc/group: name=builder, GID=697 <86>Feb 21 06:12:09 groupadd[2415332]: group added to /etc/gshadow: name=builder <86>Feb 21 06:12:09 groupadd[2415332]: new group: name=builder, GID=697 <86>Feb 21 06:12:09 useradd[2415343]: new user: name=builder, UID=697, GID=697, home=/usr/src, shell=/bin/bash <13>Feb 21 06:12:11 rpmi: libruby-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Feb 21 06:12:11 rpmi: libp11-kit-0.23.15-alt2 p9+254920.2400.19.1 1601385869 installed <13>Feb 21 06:12:11 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed <13>Feb 21 06:12:11 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Feb 21 06:12:11 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342720 installed <13>Feb 21 06:12:11 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Feb 21 06:12:11 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Feb 21 06:12:11 rpmi: ca-certificates-2020.06.29-alt1 p9+258899.100.3.1 1601998604 installed <13>Feb 21 06:12:11 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed <13>Feb 21 06:12:11 rpmi: p11-kit-trust-0.23.15-alt2 p9+254920.2400.19.1 1601385869 installed <13>Feb 21 06:12:11 rpmi: libcrypto1.1-1.1.1i-alt2 p9+264846.100.1.1 1610982871 installed <13>Feb 21 06:12:11 rpmi: libssl1.1-1.1.1i-alt2 p9+264846.100.1.1 1610982871 installed <13>Feb 21 06:12:11 rpmi: openssl-1.1.1i-alt2 p9+264846.100.1.1 1610982871 installed <13>Feb 21 06:12:11 rpmi: ruby-rubygems-update-3.0.4-alt1 p9+247371.35300.135.1 1590436206 installed <13>Feb 21 06:12:11 rpmi: gem-did-you-mean-1.3.0-alt2.1 p9+247371.40400.161.1 1591376055 installed <13>Feb 21 06:12:11 rpmi: gem-minitest-5.14.0-alt1.1 p9+247371.67710.170.1 1592235999 installed <13>Feb 21 06:12:11 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Feb 21 06:12:11 rpmi: gem-rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Feb 21 06:12:11 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Feb 21 06:12:11 rpmi: gem-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Feb 21 06:12:11 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Feb 21 06:12:11 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Feb 21 06:12:11 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Feb 21 06:12:11 rpmi: rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Feb 21 06:12:11 rpmi: erb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Feb 21 06:12:11 rpmi: irb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Feb 21 06:12:12 rpmi: gem-bundler-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Feb 21 06:12:12 rpmi: gem-test-unit-3.3.5-alt0.1 p9+247371.60440.162.1 1591424158 installed <13>Feb 21 06:12:12 rpmi: gem-power-assert-1.1.7-alt1 p9+247371.60200.162.1 1591424056 installed <13>Feb 21 06:12:13 rpmi: ruby-stdlibs-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Feb 21 06:12:13 rpmi: bundle-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Feb 21 06:12:13 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 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.49691 + 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.49691 + 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.54025 + 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) Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.54025 + 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: 0.946871 / Test error: 0.977943 / Layer sizes: 10 1 Training error: 0.934358 / Test error: 0.960269 / Layer sizes: 10 1 Training error: 0.919276 / Test error: 0.952181 / Layer sizes: 10 1 Training error: 0.903152 / Test error: 0.936887 / Layer sizes: 10 1 Training error: 0.776884 / Test error: 0.889709 / Layer sizes: 10 1 Training error: 0.739837 / Test error: 0.876242 / Layer sizes: 10 1 Training error: 0.718916 / Test error: 0.856635 / Layer sizes: 10 1 Training error: 0.710993 / Test error: 0.838243 / Layer sizes: 10 1 Training error: 0.661150 / Test error: 0.810000 / Layer sizes: 10 1 Training error: 0.649296 / Test error: 0.806443 / Layer sizes: 10 1 Training error: 0.640734 / Test error: 0.793281 / Layer sizes: 10 1 Training error: 0.612312 / Test error: 0.770456 / Layer sizes: 10 1 Training error: 0.595863 / Test error: 0.744659 / Layer sizes: 10 1 Training error: 0.586464 / Test error: 0.714131 / Layer sizes: 10 1 Training error: 0.578577 / Test error: 0.701145 / Layer sizes: 10 1 Training error: 0.568735 / Test error: 0.698993 / Layer sizes: 10 1 Training error: 0.547932 / Test error: 0.672859 / Layer sizes: 10 1 Training error: 0.546043 / Test error: 0.669084 / Layer sizes: 10 1 Training error: 0.541801 / Test error: 0.655826 / Layer sizes: 10 1 Training error: 0.529318 / Test error: 0.640473 / Layer sizes: 10 1 Training error: 0.527582 / Test error: 0.628025 / Layer sizes: 10 1 Training error: 0.516382 / Test error: 0.616887 / Layer sizes: 10 1 Training error: 0.510708 / Test error: 0.607694 / Layer sizes: 10 1 Training error: 0.507669 / Test error: 0.580711 / Layer sizes: 10 1 Training error: 0.506306 / Test error: 0.564777 / Layer sizes: 10 1 Training error: 0.501042 / Test error: 0.557214 / Layer sizes: 10 1 Training error: 0.495724 / Test error: 0.532019 / Layer sizes: 10 1 Training error: 0.491954 / Test error: 0.507859 / Layer sizes: 10 1 Training error: 0.489955 / Test error: 0.495360 / Layer sizes: 10 1 Training error: 0.482412 / Test error: 0.486522 / Layer sizes: 10 1 Training error: 0.462913 / Test error: 0.476865 / Layer sizes: 10 1 Training error: 0.461575 / Test error: 0.473069 / Layer sizes: 10 1 Training error: 0.460610 / Test error: 0.468864 / Layer sizes: 10 1 Training error: 0.456311 / Test error: 0.467892 / Layer sizes: 10 1 Training error: 0.457907 / Test error: 0.466489 / Layer sizes: 10 7 1 Training error: 0.451727 / Test error: 0.444327 / Layer sizes: 10 7 1 Training error: 0.447693 / Test error: 0.430417 / Layer sizes: 10 7 1 Training error: 0.432368 / Test error: 0.430051 / Layer sizes: 10 1 Training error: 0.430937 / Test error: 0.419479 / Layer sizes: 10 1 Training error: 0.428118 / Test error: 0.415213 / Layer sizes: 10 1 Training error: 0.428011 / Test error: 0.408168 / Layer sizes: 10 1 Training error: 0.427335 / Test error: 0.403080 / Layer sizes: 10 1 Training error: 0.411237 / Test error: 0.401348 / Layer sizes: 10 7 1 Training error: 0.410879 / Test error: 0.395740 / Layer sizes: 10 7 1 Training error: 0.391211 / Test error: 0.392558 / Layer sizes: 10 7 1 Training error: 0.387646 / Test error: 0.383968 / Layer sizes: 10 7 1 Training error: 0.382690 / Test error: 0.383888 / Layer sizes: 10 7 1 Training error: 0.374856 / Test error: 0.374648 / Layer sizes: 10 7 1 Training error: 0.367922 / Test error: 0.369137 / Layer sizes: 10 7 1 Training error: 0.355245 / Test error: 0.368663 / Layer sizes: 10 7 1 Training error: 0.354820 / Test error: 0.367593 / Layer sizes: 10 7 1 Training error: 0.345452 / Test error: 0.366005 / Layer sizes: 10 7 1 Training error: 0.339079 / Test error: 0.360043 / Layer sizes: 10 7 1 Training error: 0.393504 / Test error: 0.359907 / Layer sizes: 10 1 Training error: 0.391693 / Test error: 0.358729 / Layer sizes: 10 1 Training error: 0.350880 / Test error: 0.356893 / Layer sizes: 10 3 1 Training error: 0.342923 / Test error: 0.353987 / Layer sizes: 10 3 1 Training error: 0.342303 / Test error: 0.349480 / Layer sizes: 10 3 1 Training error: 0.335928 / Test error: 0.349365 / Layer sizes: 10 10 1 Training error: 0.336270 / Test error: 0.345013 / Layer sizes: 10 3 1 Training error: 0.335927 / Test error: 0.327371 / Layer sizes: 10 10 1 Training error: 0.335597 / Test error: 0.322258 / Layer sizes: 10 10 1 Training error: 0.335022 / Test error: 0.320270 / Layer sizes: 10 10 1 Training error: 0.334724 / Test error: 0.314567 / Layer sizes: 10 10 1 Training error: 0.334544 / Test error: 0.314038 / Layer sizes: 10 10 1 Training error: 0.333227 / Test error: 0.312223 / Layer sizes: 10 10 1 Training error: 0.324986 / Test error: 0.309478 / Layer sizes: 10 10 1 Training error: 0.322119 / Test error: 0.305051 / Layer sizes: 10 10 1 Training error: 0.224435 / Test error: 0.303966 / Layer sizes: 10 7 1 Training error: 0.217177 / Test error: 0.299284 / Layer sizes: 10 7 1 Training error: 0.288078 / Test error: 0.298639 / Layer sizes: 10 10 1 Training error: 0.204518 / Test error: 0.289392 / Layer sizes: 10 7 1 Training error: 0.186437 / Test error: 0.288172 / Layer sizes: 10 7 1 Training error: 0.185525 / Test error: 0.284081 / Layer sizes: 10 7 1 Training error: 0.171915 / Test error: 0.283613 / Layer sizes: 10 7 1 Training error: 0.170397 / Test error: 0.273925 / Layer sizes: 10 7 1 Training error: 0.170279 / Test error: 0.272733 / Layer sizes: 10 7 1 Training error: 0.169249 / Test error: 0.266614 / Layer sizes: 10 7 1 Training error: 0.168312 / Test error: 0.265187 / Layer sizes: 10 7 1 Training error: 0.217126 / Test error: 0.263009 / Layer sizes: 10 10 10 1 Training error: 0.214406 / Test error: 0.262188 / Layer sizes: 10 10 10 1 Training error: 0.213546 / Test error: 0.251763 / Layer sizes: 10 10 10 1 Training error: 0.144649 / Test error: 0.247690 / Layer sizes: 10 10 10 1 Training error: 0.101957 / Test error: 0.247021 / Layer sizes: 10 9 4 1 Training error: 0.100226 / Test error: 0.236328 / Layer sizes: 10 9 4 1 Training error: 0.099732 / Test error: 0.229500 / Layer sizes: 10 9 4 1 Training error: 0.069645 / Test error: 0.225478 / Layer sizes: 10 9 4 1 Training error: 0.060151 / Test error: 0.225189 / Layer sizes: 10 9 4 1 Training error: 0.051767 / Test error: 0.222950 / Layer sizes: 10 9 4 1 Training error: 0.050372 / Test error: 0.211690 / Layer sizes: 10 9 4 1 Training error: 0.030371 / Test error: 0.201731 / Layer sizes: 10 9 4 1 Training error: 0.027086 / Test error: 0.201625 / Layer sizes: 10 9 4 1 Training error: 0.026572 / Test error: 0.197082 / Layer sizes: 10 9 4 1 Training error: 0.025410 / Test error: 0.185950 / Layer sizes: 10 9 4 1 Training error: 0.024689 / Test error: 0.184436 / Layer sizes: 10 9 4 1 Training error: 0.020946 / Test error: 0.180451 / Layer sizes: 10 7 1 Training error: 0.024285 / Test error: 0.175637 / Layer sizes: 10 9 4 1 Training error: 0.018527 / Test error: 0.163717 / Layer sizes: 10 7 1 Training error: 0.018446 / Test error: 0.155894 / Layer sizes: 10 7 1 Training error: 0.017636 / Test error: 0.143957 / Layer sizes: 10 7 1 Training error: 0.017316 / Test error: 0.143684 / Layer sizes: 10 7 1 Training error: 0.017265 / Test error: 0.139235 / Layer sizes: 10 7 1 Training error: 0.014365 / Test error: 0.137059 / Layer sizes: 10 7 1 Training error: 0.014331 / Test error: 0.133688 / Layer sizes: 10 7 1 Training error: 0.011368 / Test error: 0.126239 / Layer sizes: 10 7 1 Training error: 0.011366 / Test error: 0.122560 / Layer sizes: 10 7 1 Training error: 0.007981 / Test error: 0.119148 / Layer sizes: 10 7 1 Training error: 0.007929 / Test error: 0.117041 / Layer sizes: 10 7 1 Training error: 0.007914 / Test error: 0.106541 / Layer sizes: 10 7 1 Training error: 0.007852 / Test error: 0.105600 / Layer sizes: 10 7 1 Training error: 0.007830 / Test error: 0.092129 / Layer sizes: 10 7 1 Training error: 0.007812 / Test error: 0.089034 / Layer sizes: 10 7 1 Training error: 0.003031 / Test error: 0.085080 / Layer sizes: 10 7 1 Training error: 0.002922 / Test error: 0.075556 / Layer sizes: 10 7 1 Training error: 0.002919 / Test error: 0.069170 / Layer sizes: 10 7 1 Training error: 0.002852 / Test error: 0.068725 / Layer sizes: 10 7 1 Training error: 0.002848 / Test error: 0.064195 / Layer sizes: 10 7 1 Training error: 0.002738 / Test error: 0.051273 / Layer sizes: 10 7 1 Training error: 0.002507 / Test error: 0.038910 / Layer sizes: 10 7 1 Training error: 0.000093 / Test error: 0.000174 / Layer sizes: 10 9 4 1 Training error: 0.000091 / Test error: 0.000132 / Layer sizes: 10 9 4 1 Training error: 0.000050 / Test error: 0.000062 / Layer sizes: 10 9 4 1 Training error: 0.000050 / Test error: 0.000058 / Layer sizes: 10 9 4 1 Training error: 0.000050 / Test error: 0.000057 / Layer sizes: 10 9 4 1 Training error: 0.000049 / Test error: 0.000054 / Layer sizes: 10 9 4 1 Training error: 0.000048 / Test error: 0.000053 / Layer sizes: 10 9 4 1 Training error: 0.000048 / Test error: 0.000052 / Layer sizes: 10 9 4 1 Training error: 0.000036 / Test error: 0.000041 / Layer sizes: 10 9 4 1 Training error: 0.000019 / Test error: 0.000036 / Layer sizes: 10 9 4 1 Training error: 0.000018 / Test error: 0.000019 / Layer sizes: 10 9 4 1 Training error: 0.000018 / Test error: 0.000019 / Layer sizes: 10 9 4 1 Training error: 0.000016 / Test error: 0.000017 / Layer sizes: 10 9 4 1 Training error: 0.000011 / Test error: 0.000012 / Layer sizes: 10 9 4 1 Training error: 0.000011 / Test error: 0.000011 / Layer sizes: 10 9 4 1 Training error: 0.000011 / Test error: 0.000011 / Layer sizes: 10 9 4 1 Training error: 0.000011 / Test error: 0.000011 / Layer sizes: 10 9 4 1 Training error: 0.000011 / Test error: 0.000011 / Layer sizes: 10 9 4 1 Training error: 0.000011 / Test error: 0.000011 / Layer sizes: 10 9 4 1 Training error: 0.000010 / Test error: 0.000010 / Layer sizes: 10 9 4 1 Training error: 0.000007 / Test error: 0.000008 / Layer sizes: 10 9 4 1 Training error: 0.000002 / Test error: 0.000002 / 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 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 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 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 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 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. 81.67 % correct. 18.33 % wrong. Limit: 17.81 %. Test failed, please try again. 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.69609 + 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.FeHSzQ 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.N64Szl 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.ta4QjU 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.9xpNPw find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.TlPj1c 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 Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-debuginfo-1.7-alt2_3.1.x86_64.rpm 79.32user 0.47system 1:39.06elapsed 80%CPU (0avgtext+0avgdata 46960maxresident)k 0inputs+0outputs (0major+197762minor)pagefaults 0swaps 84.96user 2.82system 1:48.63elapsed 80%CPU (0avgtext+0avgdata 118132maxresident)k 0inputs+0outputs (0major+526361minor)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 2021-02-21 06:13:56.020001571 +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)