<86>Dec 3 12:23:15 userdel[21053]: delete user 'rooter' <86>Dec 3 12:23:15 userdel[21053]: removed group 'rooter' owned by 'rooter' <86>Dec 3 12:23:15 userdel[21053]: removed shadow group 'rooter' owned by 'rooter' <86>Dec 3 12:23:15 groupadd[21058]: group added to /etc/group: name=rooter, GID=531 <86>Dec 3 12:23:15 groupadd[21058]: group added to /etc/gshadow: name=rooter <86>Dec 3 12:23:15 groupadd[21058]: new group: name=rooter, GID=531 <86>Dec 3 12:23:15 useradd[21062]: new user: name=rooter, UID=531, GID=531, home=/root, shell=/bin/bash <86>Dec 3 12:23:15 userdel[21069]: delete user 'builder' <86>Dec 3 12:23:15 userdel[21069]: removed group 'builder' owned by 'builder' <86>Dec 3 12:23:15 userdel[21069]: removed shadow group 'builder' owned by 'builder' <86>Dec 3 12:23:15 groupadd[21074]: group added to /etc/group: name=builder, GID=532 <86>Dec 3 12:23:15 groupadd[21074]: group added to /etc/gshadow: name=builder <86>Dec 3 12:23:15 groupadd[21074]: new group: name=builder, GID=532 <86>Dec 3 12:23:15 useradd[21078]: new user: name=builder, UID=532, GID=532, home=/usr/src, shell=/bin/bash <13>Dec 3 12:23:19 rpmi: libruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Dec 3 12:23:19 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Dec 3 12:23:19 rpmi: libtasn1-4.15.0-alt1 sisyphus+241940.100.1.1 1574959866 installed <13>Dec 3 12:23:19 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Dec 3 12:23:19 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Dec 3 12:23:19 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Dec 3 12:23:19 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Dec 3 12:23:19 rpmi: ca-certificates-2019.10.28-alt1 sisyphus+239875.300.1.1 1572267834 installed <13>Dec 3 12:23:19 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Dec 3 12:23:19 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Dec 3 12:23:19 rpmi: libcrypto1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Dec 3 12:23:19 rpmi: libssl1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Dec 3 12:23:19 rpmi: openssl-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Dec 3 12:23:19 rpmi: ruby-rubygems-update-3.0.4-alt1 sisyphus+231621.240.57.1 1567243682 installed <13>Dec 3 12:23:19 rpmi: gem-did-you-mean-1.3.0-alt2.1 sisyphus+237310.1100.2.1 1568211939 installed <13>Dec 3 12:23:20 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Dec 3 12:23:20 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Dec 3 12:23:20 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Dec 3 12:23:20 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Dec 3 12:23:20 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Dec 3 12:23:20 rpmi: gem-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Dec 3 12:23:20 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 3 12:23:20 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 3 12:23:20 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 3 12:23:20 rpmi: erb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Dec 3 12:23:20 rpmi: irb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Dec 3 12:23:20 rpmi: rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Dec 3 12:23:20 rpmi: ruby-rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Dec 3 12:23:20 rpmi: ruby-stdlibs-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Dec 3 12:23:20 rpmi: bundle-2.0.2-alt2 sisyphus+237310.400.2.1 1568211679 installed <13>Dec 3 12:23:20 rpmi: ruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Dec 3 12:23:22 rpmi: ruby-bundler-2.0.2-alt2 sisyphus+237310.400.2.1 1568211679 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.77334 + 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.55614 + 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.76033 + 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.76033 + 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: 0.983180 / Test error: 0.960020 / Layer sizes: 10 1 Training error: 0.966171 / Test error: 0.938536 / Layer sizes: 10 1 Training error: 0.922234 / Test error: 0.878703 / Layer sizes: 10 1 Training error: 0.904174 / Test error: 0.871031 / Layer sizes: 10 1 Training error: 0.895353 / Test error: 0.865030 / Layer sizes: 10 1 Training error: 0.857086 / Test error: 0.849730 / Layer sizes: 10 1 Training error: 0.839296 / Test error: 0.847787 / Layer sizes: 10 1 Training error: 0.801700 / Test error: 0.835944 / Layer sizes: 10 1 Training error: 0.795338 / Test error: 0.831452 / Layer sizes: 10 1 Training error: 0.779489 / Test error: 0.808664 / Layer sizes: 10 1 Training error: 0.769519 / Test error: 0.807465 / Layer sizes: 10 1 Training error: 0.758068 / Test error: 0.798473 / Layer sizes: 10 1 Training error: 0.743324 / Test error: 0.762516 / Layer sizes: 10 1 Training error: 0.731928 / Test error: 0.741044 / Layer sizes: 10 1 Training error: 0.723726 / Test error: 0.718073 / Layer sizes: 10 1 Training error: 0.712194 / Test error: 0.689237 / Layer sizes: 10 1 Training error: 0.680121 / Test error: 0.661982 / Layer sizes: 10 1 Training error: 0.675729 / Test error: 0.659327 / Layer sizes: 10 1 Training error: 0.673853 / Test error: 0.657369 / Layer sizes: 10 1 Training error: 0.670511 / Test error: 0.648742 / Layer sizes: 10 1 Training error: 0.657607 / Test error: 0.634418 / Layer sizes: 10 1 Training error: 0.652715 / Test error: 0.626957 / Layer sizes: 10 1 Training error: 0.635076 / Test error: 0.613607 / Layer sizes: 10 1 Training error: 0.625412 / Test error: 0.583481 / Layer sizes: 10 1 Training error: 0.624350 / Test error: 0.581649 / Layer sizes: 10 1 Training error: 0.621093 / Test error: 0.559461 / Layer sizes: 10 1 Training error: 0.617939 / Test error: 0.535402 / Layer sizes: 10 1 Training error: 0.597385 / Test error: 0.511045 / Layer sizes: 10 1 Training error: 0.596068 / Test error: 0.506550 / Layer sizes: 10 1 Training error: 0.591766 / Test error: 0.494887 / Layer sizes: 10 1 Training error: 0.584539 / Test error: 0.486234 / Layer sizes: 10 1 Training error: 0.579296 / Test error: 0.479112 / Layer sizes: 10 1 Training error: 0.578098 / Test error: 0.478353 / Layer sizes: 10 1 Training error: 0.575951 / Test error: 0.460876 / Layer sizes: 10 1 Training error: 0.468127 / Test error: 0.453073 / Layer sizes: 10 7 1 Training error: 0.467577 / Test error: 0.450532 / Layer sizes: 10 7 1 Training error: 0.467234 / Test error: 0.436549 / Layer sizes: 10 7 1 Training error: 0.466723 / Test error: 0.432658 / Layer sizes: 10 7 1 Training error: 0.470218 / Test error: 0.424087 / Layer sizes: 10 10 1 Training error: 0.466232 / Test error: 0.413625 / Layer sizes: 10 10 1 Training error: 0.419144 / Test error: 0.404929 / Layer sizes: 10 7 1 Training error: 0.412649 / Test error: 0.404894 / Layer sizes: 10 7 1 Training error: 0.409038 / Test error: 0.391553 / Layer sizes: 10 7 1 Training error: 0.410458 / Test error: 0.390066 / Layer sizes: 10 10 1 Training error: 0.407310 / Test error: 0.375852 / Layer sizes: 10 10 1 Training error: 0.388398 / Test error: 0.373083 / Layer sizes: 10 7 1 Training error: 0.393903 / Test error: 0.366304 / Layer sizes: 10 10 1 Training error: 0.328109 / Test error: 0.363054 / Layer sizes: 10 7 1 Training error: 0.326908 / Test error: 0.360994 / Layer sizes: 10 7 1 Training error: 0.321300 / Test error: 0.338424 / Layer sizes: 10 7 1 Training error: 0.320157 / Test error: 0.331905 / Layer sizes: 10 7 1 Training error: 0.313871 / Test error: 0.323293 / Layer sizes: 10 7 1 Training error: 0.305597 / Test error: 0.314042 / Layer sizes: 10 7 1 Training error: 0.282461 / Test error: 0.308264 / Layer sizes: 10 7 1 Training error: 0.281204 / Test error: 0.303480 / Layer sizes: 10 7 1 Training error: 0.269877 / Test error: 0.299871 / Layer sizes: 10 7 1 Training error: 0.239623 / Test error: 0.291527 / Layer sizes: 10 10 1 Training error: 0.134782 / Test error: 0.284096 / Layer sizes: 10 7 1 Training error: 0.132288 / Test error: 0.283807 / Layer sizes: 10 7 1 Training error: 0.130665 / Test error: 0.282877 / Layer sizes: 10 7 1 Training error: 0.125721 / Test error: 0.270951 / Layer sizes: 10 7 1 Training error: 0.132004 / Test error: 0.260898 / Layer sizes: 10 10 1 Training error: 0.131534 / Test error: 0.257678 / Layer sizes: 10 10 1 Training error: 0.131007 / Test error: 0.245343 / Layer sizes: 10 10 1 Training error: 0.130805 / Test error: 0.243147 / Layer sizes: 10 10 1 Training error: 0.127141 / Test error: 0.238247 / Layer sizes: 10 10 1 Training error: 0.122901 / Test error: 0.230266 / Layer sizes: 10 10 1 Training error: 0.116602 / Test error: 0.227127 / Layer sizes: 10 10 1 Training error: 0.106975 / Test error: 0.225315 / Layer sizes: 10 10 1 Training error: 0.105980 / Test error: 0.222943 / Layer sizes: 10 10 1 Training error: 0.104266 / Test error: 0.220780 / Layer sizes: 10 10 1 Training error: 0.090184 / Test error: 0.217335 / Layer sizes: 10 10 1 Training error: 0.089022 / Test error: 0.209663 / Layer sizes: 10 10 1 Training error: 0.088335 / Test error: 0.203327 / Layer sizes: 10 10 1 Training error: 0.070597 / Test error: 0.195050 / Layer sizes: 10 10 1 Training error: 0.070287 / Test error: 0.193433 / Layer sizes: 10 10 1 Training error: 0.069685 / Test error: 0.188560 / Layer sizes: 10 10 1 Training error: 0.068701 / Test error: 0.186466 / Layer sizes: 10 10 1 Training error: 0.034144 / Test error: 0.177332 / Layer sizes: 10 9 4 1 Training error: 0.031976 / Test error: 0.176105 / Layer sizes: 10 9 4 1 Training error: 0.030941 / Test error: 0.174079 / Layer sizes: 10 9 4 1 Training error: 0.030317 / Test error: 0.168905 / Layer sizes: 10 9 4 1 Training error: 0.029147 / Test error: 0.168226 / Layer sizes: 10 9 4 1 Training error: 0.042083 / Test error: 0.167017 / Layer sizes: 10 10 1 Training error: 0.040863 / Test error: 0.166092 / Layer sizes: 10 10 1 Training error: 0.040859 / Test error: 0.162233 / Layer sizes: 10 10 1 Training error: 0.040720 / Test error: 0.161135 / Layer sizes: 10 10 1 Training error: 0.034920 / Test error: 0.157769 / Layer sizes: 10 10 1 Training error: 0.034860 / Test error: 0.153807 / Layer sizes: 10 10 1 Training error: 0.030705 / Test error: 0.150495 / Layer sizes: 10 10 1 Training error: 0.030623 / Test error: 0.147361 / Layer sizes: 10 10 1 Training error: 0.030362 / Test error: 0.146937 / Layer sizes: 10 10 1 Training error: 0.025182 / Test error: 0.143317 / Layer sizes: 10 10 1 Training error: 0.020537 / Test error: 0.142708 / Layer sizes: 10 10 1 Training error: 0.020465 / Test error: 0.142145 / Layer sizes: 10 10 1 Training error: 0.017404 / Test error: 0.138845 / Layer sizes: 10 10 1 Training error: 0.017366 / Test error: 0.131359 / Layer sizes: 10 10 1 Training error: 0.017323 / Test error: 0.127939 / Layer sizes: 10 10 1 Training error: 0.012723 / Test error: 0.127328 / Layer sizes: 10 10 1 Training error: 0.012611 / Test error: 0.126582 / Layer sizes: 10 10 1 Training error: 0.006096 / Test error: 0.122629 / Layer sizes: 10 10 1 Training error: 0.006043 / Test error: 0.119921 / Layer sizes: 10 10 1 Training error: 0.006030 / Test error: 0.117983 / Layer sizes: 10 10 1 Training error: 0.005921 / Test error: 0.117322 / Layer sizes: 10 10 1 Training error: 0.005891 / Test error: 0.116406 / Layer sizes: 10 10 1 Training error: 0.005560 / Test error: 0.109548 / Layer sizes: 10 10 1 Training error: 0.005550 / Test error: 0.099943 / Layer sizes: 10 10 1 Training error: 0.005525 / Test error: 0.099566 / Layer sizes: 10 10 1 Training error: 0.005520 / Test error: 0.095395 / Layer sizes: 10 10 1 Training error: 0.005491 / Test error: 0.095276 / Layer sizes: 10 10 1 Training error: 0.005360 / Test error: 0.093221 / Layer sizes: 10 10 1 Training error: 0.003452 / Test error: 0.090836 / Layer sizes: 10 10 1 Training error: 0.003437 / Test error: 0.090761 / Layer sizes: 10 10 1 Training error: 0.003396 / Test error: 0.090012 / Layer sizes: 10 10 1 Training error: 0.003385 / Test error: 0.087799 / Layer sizes: 10 10 1 Training error: 0.003369 / Test error: 0.085989 / Layer sizes: 10 10 1 Training error: 0.003075 / Test error: 0.085312 / Layer sizes: 10 10 1 Training error: 0.003065 / Test error: 0.084620 / Layer sizes: 10 10 1 Training error: 0.002958 / Test error: 0.084072 / Layer sizes: 10 10 1 Training error: 0.002949 / Test error: 0.083607 / Layer sizes: 10 10 1 Training error: 0.002913 / Test error: 0.083137 / Layer sizes: 10 10 1 Training error: 0.002463 / Test error: 0.082312 / Layer sizes: 10 10 1 Training error: 0.002452 / Test error: 0.082199 / Layer sizes: 10 10 1 Training error: 0.002414 / Test error: 0.081956 / Layer sizes: 10 10 1 Training error: 0.002272 / Test error: 0.081859 / Layer sizes: 10 10 1 Training error: 0.002249 / Test error: 0.081654 / Layer sizes: 10 10 1 Training error: 0.002067 / Test error: 0.081628 / Layer sizes: 10 10 1 Training error: 0.002066 / Test error: 0.081285 / Layer sizes: 10 10 1 Training error: 0.001764 / Test error: 0.081176 / Layer sizes: 10 10 1 Training error: 0.001762 / Test error: 0.080692 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.041666 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.041666 / 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. 91.82 % correct. 8.18 % wrong. Limit: 17.59 %. 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.83148 + 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.qsvgUo 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.Dq4uvq find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) Requires: /lib/ld-linux.so.2, libc.so.6(GLIBC_2.0), libc.so.6(GLIBC_2.1), libc.so.6(GLIBC_2.3.4), libc.so.6(GLIBC_2.4), libm.so.6(GLIBC_2.0), libm.so.6(GLIBC_2.1), 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.T24Wfq 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.2xV8up find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.bVA6ls 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 77.57user 0.98system 1:42.02elapsed 77%CPU (0avgtext+0avgdata 35704maxresident)k 0inputs+0outputs (0major+160745minor)pagefaults 0swaps 87.25user 6.89system 1:57.21elapsed 80%CPU (0avgtext+0avgdata 109624maxresident)k 0inputs+0outputs (0major+483914minor)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 2019-12-03 12:25:09.530342925 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)