<86>Sep 1 10:59:53 userdel[1914318]: delete user 'rooter' <86>Sep 1 10:59:53 userdel[1914318]: removed group 'rooter' owned by 'rooter' <86>Sep 1 10:59:53 userdel[1914318]: removed shadow group 'rooter' owned by 'rooter' <86>Sep 1 10:59:53 groupadd[1914324]: group added to /etc/group: name=rooter, GID=555 <86>Sep 1 10:59:53 groupadd[1914324]: group added to /etc/gshadow: name=rooter <86>Sep 1 10:59:53 groupadd[1914324]: new group: name=rooter, GID=555 <86>Sep 1 10:59:53 useradd[1914330]: new user: name=rooter, UID=555, GID=555, home=/root, shell=/bin/bash <86>Sep 1 10:59:53 userdel[1914353]: delete user 'builder' <86>Sep 1 10:59:53 userdel[1914353]: removed group 'builder' owned by 'builder' <86>Sep 1 10:59:53 userdel[1914353]: removed shadow group 'builder' owned by 'builder' <86>Sep 1 10:59:53 groupadd[1914365]: group added to /etc/group: name=builder, GID=556 <86>Sep 1 10:59:53 groupadd[1914365]: group added to /etc/gshadow: name=builder <86>Sep 1 10:59:53 groupadd[1914365]: new group: name=builder, GID=556 <86>Sep 1 10:59:53 useradd[1914371]: new user: name=builder, UID=556, GID=556, home=/usr/src, shell=/bin/bash <13>Sep 1 10:59:57 rpmi: libruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Sep 1 10:59:57 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Sep 1 10:59:57 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Sep 1 10:59:57 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Sep 1 10:59:57 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Sep 1 10:59:57 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Sep 1 10:59:57 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Sep 1 10:59:57 rpmi: ca-certificates-2020.06.29-alt1 sisyphus+254237.300.1.1 1593450881 installed <13>Sep 1 10:59:57 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Sep 1 10:59:57 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Sep 1 10:59:57 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Sep 1 10:59:57 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Sep 1 10:59:57 rpmi: erb-0:2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Sep 1 10:59:57 rpmi: irb-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Sep 1 10:59:57 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Sep 1 10:59:57 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Sep 1 10:59:57 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Sep 1 10:59:57 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Sep 1 10:59:57 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Sep 1 10:59:57 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Sep 1 10:59:57 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Sep 1 10:59:57 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Sep 1 10:59:57 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Sep 1 10:59:57 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Sep 1 10:59:57 rpmi: gem-1:3.1.2-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Sep 1 10:59:57 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Sep 1 10:59:59 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Sep 1 10:59:59 rpmi: ruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Sep 1 11:00:00 rpmi: ruby-stdlibs-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 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.11667 + 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.61881 + 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.90061 + 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.43703 + 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: 0.968862 / Test error: 0.992684 / Layer sizes: 10 1 Training error: 0.981700 / Test error: 0.987744 / Layer sizes: 10 3 3 1 Training error: 0.967442 / Test error: 0.978923 / Layer sizes: 10 3 3 1 Training error: 0.967254 / Test error: 0.978815 / Layer sizes: 10 10 10 1 Training error: 0.918191 / Test error: 0.970686 / Layer sizes: 10 1 Training error: 0.884066 / Test error: 0.923719 / Layer sizes: 10 1 Training error: 0.873435 / Test error: 0.906821 / Layer sizes: 10 1 Training error: 0.837624 / Test error: 0.872236 / Layer sizes: 10 1 Training error: 0.780217 / Test error: 0.815264 / Layer sizes: 10 1 Training error: 0.738607 / Test error: 0.779118 / Layer sizes: 10 1 Training error: 0.720642 / Test error: 0.763923 / Layer sizes: 10 1 Training error: 0.706615 / Test error: 0.729843 / Layer sizes: 10 1 Training error: 0.695986 / Test error: 0.707177 / Layer sizes: 10 1 Training error: 0.655300 / Test error: 0.693182 / Layer sizes: 10 1 Training error: 0.631526 / Test error: 0.683216 / Layer sizes: 10 1 Training error: 0.615504 / Test error: 0.665620 / Layer sizes: 10 1 Training error: 0.615300 / Test error: 0.650546 / Layer sizes: 10 1 Training error: 0.614296 / Test error: 0.648209 / Layer sizes: 10 1 Training error: 0.604230 / Test error: 0.644140 / Layer sizes: 10 1 Training error: 0.597374 / Test error: 0.635706 / Layer sizes: 10 1 Training error: 0.590413 / Test error: 0.633577 / Layer sizes: 10 1 Training error: 0.587190 / Test error: 0.633332 / Layer sizes: 10 1 Training error: 0.570266 / Test error: 0.596072 / Layer sizes: 10 1 Training error: 0.533451 / Test error: 0.593792 / Layer sizes: 10 1 Training error: 0.514772 / Test error: 0.589716 / Layer sizes: 10 1 Training error: 0.507572 / Test error: 0.568138 / Layer sizes: 10 1 Training error: 0.490507 / Test error: 0.545364 / Layer sizes: 10 1 Training error: 0.486926 / Test error: 0.544235 / Layer sizes: 10 1 Training error: 0.477976 / Test error: 0.540133 / Layer sizes: 10 1 Training error: 0.452413 / Test error: 0.518092 / Layer sizes: 10 1 Training error: 0.418340 / Test error: 0.489052 / Layer sizes: 10 1 Training error: 0.416739 / Test error: 0.483338 / Layer sizes: 10 1 Training error: 0.415944 / Test error: 0.478283 / Layer sizes: 10 1 Training error: 0.413084 / Test error: 0.470176 / Layer sizes: 10 1 Training error: 0.409247 / Test error: 0.466898 / Layer sizes: 10 1 Training error: 0.408669 / Test error: 0.456648 / Layer sizes: 10 1 Training error: 0.408073 / Test error: 0.454414 / Layer sizes: 10 1 Training error: 0.404427 / Test error: 0.445018 / Layer sizes: 10 1 Training error: 0.401261 / Test error: 0.441563 / Layer sizes: 10 1 Training error: 0.393322 / Test error: 0.427593 / Layer sizes: 10 1 Training error: 0.389146 / Test error: 0.418972 / Layer sizes: 10 1 Training error: 0.383091 / Test error: 0.411088 / Layer sizes: 10 1 Training error: 0.375498 / Test error: 0.401994 / Layer sizes: 10 1 Training error: 0.372845 / Test error: 0.398404 / Layer sizes: 10 1 Training error: 0.372599 / Test error: 0.395261 / Layer sizes: 10 1 Training error: 0.364760 / Test error: 0.388743 / Layer sizes: 10 1 Training error: 0.358908 / Test error: 0.388079 / Layer sizes: 10 1 Training error: 0.356617 / Test error: 0.386855 / Layer sizes: 10 1 Training error: 0.344297 / Test error: 0.378278 / Layer sizes: 10 1 Training error: 0.337600 / Test error: 0.376943 / Layer sizes: 10 1 Training error: 0.336862 / Test error: 0.374878 / Layer sizes: 10 1 Training error: 0.334302 / Test error: 0.369769 / Layer sizes: 10 1 Training error: 0.333097 / Test error: 0.356825 / Layer sizes: 10 1 Training error: 0.325686 / Test error: 0.354016 / Layer sizes: 10 1 Training error: 0.325017 / Test error: 0.352244 / Layer sizes: 10 1 Training error: 0.322096 / Test error: 0.347297 / Layer sizes: 10 1 Training error: 0.321742 / Test error: 0.347054 / Layer sizes: 10 1 Training error: 0.320475 / Test error: 0.339030 / Layer sizes: 10 1 Training error: 0.308306 / Test error: 0.338091 / Layer sizes: 10 1 Training error: 0.298739 / Test error: 0.325475 / Layer sizes: 10 10 1 Training error: 0.296855 / Test error: 0.316080 / Layer sizes: 10 10 1 Training error: 0.294496 / Test error: 0.313346 / Layer sizes: 10 10 1 Training error: 0.292986 / Test error: 0.310209 / Layer sizes: 10 10 1 Training error: 0.286673 / Test error: 0.297493 / Layer sizes: 10 10 1 Training error: 0.278210 / Test error: 0.296798 / Layer sizes: 10 10 1 Training error: 0.273164 / Test error: 0.289761 / Layer sizes: 10 10 1 Training error: 0.267986 / Test error: 0.288544 / Layer sizes: 10 10 1 Training error: 0.263919 / Test error: 0.287135 / Layer sizes: 10 10 1 Training error: 0.260464 / Test error: 0.277462 / Layer sizes: 10 10 1 Training error: 0.231384 / Test error: 0.271521 / Layer sizes: 10 10 1 Training error: 0.205587 / Test error: 0.266655 / Layer sizes: 10 10 1 Training error: 0.204841 / Test error: 0.264914 / Layer sizes: 10 10 1 Training error: 0.202024 / Test error: 0.262830 / Layer sizes: 10 10 1 Training error: 0.200768 / Test error: 0.258883 / Layer sizes: 10 10 1 Training error: 0.160648 / Test error: 0.252175 / Layer sizes: 10 9 4 1 Training error: 0.157902 / Test error: 0.249025 / Layer sizes: 10 9 4 1 Training error: 0.157136 / Test error: 0.239220 / Layer sizes: 10 9 4 1 Training error: 0.150454 / Test error: 0.232230 / Layer sizes: 10 9 4 1 Training error: 0.106522 / Test error: 0.231588 / Layer sizes: 10 10 10 1 Training error: 0.106130 / Test error: 0.230313 / Layer sizes: 10 10 10 1 Training error: 0.105214 / Test error: 0.225882 / Layer sizes: 10 10 10 1 Training error: 0.104849 / Test error: 0.220095 / Layer sizes: 10 10 10 1 Training error: 0.102644 / Test error: 0.214949 / Layer sizes: 10 10 10 1 Training error: 0.102529 / Test error: 0.213985 / Layer sizes: 10 10 10 1 Training error: 0.099636 / Test error: 0.212284 / Layer sizes: 10 10 10 1 Training error: 0.098883 / Test error: 0.211805 / Layer sizes: 10 10 10 1 Training error: 0.098811 / Test error: 0.210791 / Layer sizes: 10 10 10 1 Training error: 0.096789 / Test error: 0.208371 / Layer sizes: 10 10 10 1 Training error: 0.096659 / Test error: 0.207860 / Layer sizes: 10 10 10 1 Training error: 0.094519 / Test error: 0.204387 / Layer sizes: 10 10 10 1 Training error: 0.081824 / Test error: 0.201776 / Layer sizes: 10 10 1 Training error: 0.080829 / Test error: 0.197179 / Layer sizes: 10 10 1 Training error: 0.080109 / Test error: 0.194144 / Layer sizes: 10 10 1 Training error: 0.079558 / Test error: 0.192559 / Layer sizes: 10 10 1 Training error: 0.078826 / Test error: 0.189996 / Layer sizes: 10 10 1 Training error: 0.078566 / Test error: 0.185735 / Layer sizes: 10 10 1 Training error: 0.078129 / Test error: 0.183943 / Layer sizes: 10 10 1 Training error: 0.078063 / Test error: 0.183701 / Layer sizes: 10 10 1 Training error: 0.077436 / Test error: 0.183211 / Layer sizes: 10 10 1 Training error: 0.077048 / Test error: 0.180604 / Layer sizes: 10 10 1 Training error: 0.076410 / Test error: 0.177797 / Layer sizes: 10 10 1 Training error: 0.076085 / Test error: 0.172612 / Layer sizes: 10 10 1 Training error: 0.072996 / Test error: 0.170561 / Layer sizes: 10 10 1 Training error: 0.072863 / Test error: 0.168864 / Layer sizes: 10 10 1 Training error: 0.064771 / Test error: 0.168178 / Layer sizes: 10 10 1 Training error: 0.063923 / Test error: 0.167428 / Layer sizes: 10 10 1 Training error: 0.063470 / Test error: 0.164505 / Layer sizes: 10 10 1 Training error: 0.062561 / Test error: 0.162779 / Layer sizes: 10 10 1 Training error: 0.062101 / Test error: 0.157407 / Layer sizes: 10 10 1 Training error: 0.061991 / Test error: 0.153723 / Layer sizes: 10 10 1 Training error: 0.061855 / Test error: 0.151025 / Layer sizes: 10 10 1 Training error: 0.061605 / Test error: 0.143825 / Layer sizes: 10 10 1 Training error: 0.061574 / Test error: 0.138820 / Layer sizes: 10 10 1 Training error: 0.061178 / Test error: 0.138609 / Layer sizes: 10 10 1 Training error: 0.060433 / Test error: 0.138513 / Layer sizes: 10 10 1 Training error: 0.060263 / Test error: 0.135944 / Layer sizes: 10 10 1 Training error: 0.060242 / Test error: 0.132335 / Layer sizes: 10 10 1 Training error: 0.059504 / Test error: 0.129854 / Layer sizes: 10 10 1 Training error: 0.071862 / Test error: 0.129572 / Layer sizes: 10 10 10 1 Training error: 0.059248 / Test error: 0.128842 / Layer sizes: 10 10 1 Training error: 0.059127 / Test error: 0.127040 / Layer sizes: 10 10 1 Training error: 0.058365 / Test error: 0.126973 / Layer sizes: 10 10 1 Training error: 0.057091 / Test error: 0.125729 / Layer sizes: 10 10 1 Training error: 0.052996 / Test error: 0.125642 / Layer sizes: 10 10 1 Training error: 0.052984 / Test error: 0.125390 / Layer sizes: 10 10 1 Training error: 0.050880 / Test error: 0.121552 / Layer sizes: 10 10 1 Training error: 0.086560 / Test error: 0.118654 / Layer sizes: 10 7 1 Training error: 0.047909 / Test error: 0.117355 / Layer sizes: 10 10 1 Training error: 0.047717 / Test error: 0.117174 / Layer sizes: 10 10 1 Training error: 0.047708 / Test error: 0.116107 / Layer sizes: 10 10 1 Training error: 0.047475 / Test error: 0.115822 / Layer sizes: 10 10 1 Training error: 0.047333 / Test error: 0.111300 / Layer sizes: 10 10 1 Training error: 0.047318 / Test error: 0.110310 / Layer sizes: 10 10 1 Training error: 0.080547 / Test error: 0.109913 / Layer sizes: 10 7 1 Training error: 0.001135 / Test error: 0.105692 / Layer sizes: 10 10 10 1 Training error: 0.039916 / Test error: 0.097391 / Layer sizes: 10 3 1 Training error: 0.039909 / Test error: 0.092790 / Layer sizes: 10 3 1 Training error: 0.039907 / Test error: 0.092451 / Layer sizes: 10 3 1 Training error: 0.039905 / Test error: 0.089150 / Layer sizes: 10 3 1 Training error: 0.039905 / Test error: 0.088260 / Layer sizes: 10 3 1 Training error: 0.039905 / Test error: 0.088237 / Layer sizes: 10 3 1 Training error: 0.039904 / Test error: 0.086930 / Layer sizes: 10 3 1 Training error: 0.039900 / Test error: 0.086921 / Layer sizes: 10 3 1 Training error: 0.039899 / Test error: 0.086158 / Layer sizes: 10 3 1 Training error: 0.039898 / Test error: 0.085806 / Layer sizes: 10 3 1 Training error: 0.039898 / Test error: 0.085708 / Layer sizes: 10 3 1 Training error: 0.039872 / Test error: 0.085292 / Layer sizes: 10 3 1 Training error: 0.039853 / Test error: 0.085292 / Layer sizes: 10 3 1 Training error: 0.039850 / Test error: 0.085288 / Layer sizes: 10 3 1 Training error: 0.039850 / Test error: 0.085271 / Layer sizes: 10 3 1 Training error: 0.039844 / Test error: 0.085217 / Layer sizes: 10 3 1 Training error: 0.039842 / Test error: 0.085134 / Layer sizes: 10 3 1 Training error: 0.039841 / Test error: 0.085106 / Layer sizes: 10 3 1 Training error: 0.039812 / Test error: 0.085057 / Layer sizes: 10 3 1 Training error: 0.039812 / Test error: 0.085036 / Layer sizes: 10 3 1 Training error: 0.039810 / Test error: 0.084912 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.083333 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041667 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 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. 91.38 % correct. 8.62 % wrong. Limit: 17.11 %. 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.69392 + 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.kv7Uht 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.hWiw1t 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.5ptw7v 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.yR4Xhx find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.FwFevt 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 92.93user 1.20system 1:40.99elapsed 93%CPU (0avgtext+0avgdata 35864maxresident)k 0inputs+0outputs (0major+162105minor)pagefaults 0swaps 103.54user 8.25system 1:57.39elapsed 95%CPU (0avgtext+0avgdata 110408maxresident)k 0inputs+0outputs (0major+483574minor)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 2020-09-01 11:01:46.271160518 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)