<86>Jan 7 12:40:55 userdel[22395]: delete user 'rooter' <86>Jan 7 12:40:55 userdel[22395]: removed group 'rooter' owned by 'rooter' <86>Jan 7 12:40:55 userdel[22395]: removed shadow group 'rooter' owned by 'rooter' <86>Jan 7 12:40:55 groupadd[22404]: group added to /etc/group: name=rooter, GID=639 <86>Jan 7 12:40:55 groupadd[22404]: group added to /etc/gshadow: name=rooter <86>Jan 7 12:40:55 groupadd[22404]: new group: name=rooter, GID=639 <86>Jan 7 12:40:55 useradd[22411]: new user: name=rooter, UID=639, GID=639, home=/root, shell=/bin/bash <86>Jan 7 12:40:55 userdel[22419]: delete user 'builder' <86>Jan 7 12:40:55 userdel[22419]: removed group 'builder' owned by 'builder' <86>Jan 7 12:40:55 userdel[22419]: removed shadow group 'builder' owned by 'builder' <86>Jan 7 12:40:55 groupadd[22424]: group added to /etc/group: name=builder, GID=640 <86>Jan 7 12:40:55 groupadd[22424]: group added to /etc/gshadow: name=builder <86>Jan 7 12:40:55 groupadd[22424]: new group: name=builder, GID=640 <86>Jan 7 12:40:55 useradd[22428]: new user: name=builder, UID=640, GID=640, home=/usr/src, shell=/bin/bash <13>Jan 7 12:40:58 rpmi: libruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Jan 7 12:40:58 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Jan 7 12:40:58 rpmi: libtasn1-4.15.0-alt1 sisyphus+241940.100.1.1 1574959866 installed <13>Jan 7 12:40:58 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Jan 7 12:40:58 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Jan 7 12:40:58 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jan 7 12:40:58 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jan 7 12:40:58 rpmi: ca-certificates-2019.10.28-alt1 sisyphus+239875.300.1.1 1572267834 installed <13>Jan 7 12:40:58 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Jan 7 12:40:58 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Jan 7 12:40:58 rpmi: libcrypto1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Jan 7 12:40:58 rpmi: libssl1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Jan 7 12:40:58 rpmi: openssl-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Jan 7 12:40:59 rpmi: ruby-rubygems-update-3.0.4-alt1 sisyphus+231621.240.57.1 1567243682 installed <13>Jan 7 12:40:59 rpmi: gem-did-you-mean-1.3.0-alt2.1 sisyphus+237310.1100.2.1 1568211939 installed <13>Jan 7 12:40:59 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Jan 7 12:40:59 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Jan 7 12:40:59 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Jan 7 12:40:59 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Jan 7 12:40:59 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Jan 7 12:40:59 rpmi: gem-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Jan 7 12:40:59 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jan 7 12:40:59 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jan 7 12:40:59 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jan 7 12:40:59 rpmi: erb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Jan 7 12:40:59 rpmi: irb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Jan 7 12:40:59 rpmi: rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Jan 7 12:40:59 rpmi: ruby-rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Jan 7 12:41:00 rpmi: ruby-stdlibs-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Jan 7 12:41:00 rpmi: bundle-2.0.2-alt2 sisyphus+237310.400.2.1 1568211679 installed <13>Jan 7 12:41:00 rpmi: ruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Jan 7 12:41:03 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.8968 + 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.8968 + 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.78089 + 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.65882 + 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: 0.975097 / Test error: 0.955552 / Layer sizes: 10 1 Training error: 0.921678 / Test error: 0.930158 / Layer sizes: 10 1 Training error: 0.894279 / Test error: 0.898426 / Layer sizes: 10 1 Training error: 0.854085 / Test error: 0.863338 / Layer sizes: 10 1 Training error: 0.822984 / Test error: 0.840299 / Layer sizes: 10 1 Training error: 0.811780 / Test error: 0.811897 / Layer sizes: 10 1 Training error: 0.806575 / Test error: 0.790735 / Layer sizes: 10 1 Training error: 0.801018 / Test error: 0.788843 / Layer sizes: 10 1 Training error: 0.792170 / Test error: 0.775708 / Layer sizes: 10 1 Training error: 0.783010 / Test error: 0.772781 / Layer sizes: 10 1 Training error: 0.768439 / Test error: 0.760276 / Layer sizes: 10 1 Training error: 0.757708 / Test error: 0.746296 / Layer sizes: 10 1 Training error: 0.729585 / Test error: 0.706569 / Layer sizes: 10 1 Training error: 0.724095 / Test error: 0.697235 / Layer sizes: 10 1 Training error: 0.718945 / Test error: 0.691342 / Layer sizes: 10 1 Training error: 0.712361 / Test error: 0.678317 / Layer sizes: 10 1 Training error: 0.687470 / Test error: 0.651512 / Layer sizes: 10 1 Training error: 0.686473 / Test error: 0.637226 / Layer sizes: 10 1 Training error: 0.662910 / Test error: 0.636073 / Layer sizes: 10 1 Training error: 0.652001 / Test error: 0.627629 / Layer sizes: 10 1 Training error: 0.641036 / Test error: 0.624285 / Layer sizes: 10 1 Training error: 0.625762 / Test error: 0.614856 / Layer sizes: 10 1 Training error: 0.610024 / Test error: 0.593569 / Layer sizes: 10 1 Training error: 0.595732 / Test error: 0.557237 / Layer sizes: 10 1 Training error: 0.590306 / Test error: 0.544679 / Layer sizes: 10 1 Training error: 0.579655 / Test error: 0.509921 / Layer sizes: 10 1 Training error: 0.579366 / Test error: 0.502508 / Layer sizes: 10 1 Training error: 0.576876 / Test error: 0.499802 / Layer sizes: 10 1 Training error: 0.571559 / Test error: 0.487689 / Layer sizes: 10 1 Training error: 0.564182 / Test error: 0.476579 / Layer sizes: 10 1 Training error: 0.563710 / Test error: 0.461009 / Layer sizes: 10 1 Training error: 0.561075 / Test error: 0.452605 / Layer sizes: 10 1 Training error: 0.556564 / Test error: 0.446957 / Layer sizes: 10 1 Training error: 0.554851 / Test error: 0.439028 / Layer sizes: 10 1 Training error: 0.550338 / Test error: 0.426125 / Layer sizes: 10 1 Training error: 0.541214 / Test error: 0.415247 / Layer sizes: 10 1 Training error: 0.532003 / Test error: 0.412347 / Layer sizes: 10 1 Training error: 0.528589 / Test error: 0.405905 / Layer sizes: 10 1 Training error: 0.526015 / Test error: 0.399712 / Layer sizes: 10 1 Training error: 0.525224 / Test error: 0.394690 / Layer sizes: 10 1 Training error: 0.508157 / Test error: 0.393020 / Layer sizes: 10 1 Training error: 0.492073 / Test error: 0.392916 / Layer sizes: 10 1 Training error: 0.448832 / Test error: 0.391096 / Layer sizes: 10 10 1 Training error: 0.443986 / Test error: 0.388300 / Layer sizes: 10 10 1 Training error: 0.443087 / Test error: 0.375662 / Layer sizes: 10 10 1 Training error: 0.419060 / Test error: 0.375548 / Layer sizes: 10 10 1 Training error: 0.425411 / Test error: 0.370576 / Layer sizes: 10 1 Training error: 0.415752 / Test error: 0.347464 / Layer sizes: 10 10 1 Training error: 0.400924 / Test error: 0.343088 / Layer sizes: 10 1 Training error: 0.397333 / Test error: 0.342512 / Layer sizes: 10 1 Training error: 0.392497 / Test error: 0.342147 / Layer sizes: 10 1 Training error: 0.351122 / Test error: 0.340120 / Layer sizes: 10 9 4 1 Training error: 0.350700 / Test error: 0.337280 / Layer sizes: 10 9 4 1 Training error: 0.320425 / Test error: 0.334812 / Layer sizes: 10 7 1 Training error: 0.314903 / Test error: 0.333300 / Layer sizes: 10 7 1 Training error: 0.287632 / Test error: 0.324872 / Layer sizes: 10 9 4 1 Training error: 0.280617 / Test error: 0.321475 / Layer sizes: 10 9 4 1 Training error: 0.276542 / Test error: 0.318650 / Layer sizes: 10 9 4 1 Training error: 0.274235 / Test error: 0.308246 / Layer sizes: 10 9 4 1 Training error: 0.273429 / Test error: 0.300283 / Layer sizes: 10 9 4 1 Training error: 0.273411 / Test error: 0.289748 / Layer sizes: 10 9 4 1 Training error: 0.202350 / Test error: 0.278990 / Layer sizes: 10 9 4 1 Training error: 0.183354 / Test error: 0.265857 / Layer sizes: 10 9 4 1 Training error: 0.173683 / Test error: 0.258526 / Layer sizes: 10 9 4 1 Training error: 0.173532 / Test error: 0.254761 / Layer sizes: 10 9 4 1 Training error: 0.173530 / Test error: 0.244572 / Layer sizes: 10 9 4 1 Training error: 0.172112 / Test error: 0.242356 / Layer sizes: 10 9 4 1 Training error: 0.172060 / Test error: 0.226504 / Layer sizes: 10 9 4 1 Training error: 0.149451 / Test error: 0.217521 / Layer sizes: 10 9 4 1 Training error: 0.141639 / Test error: 0.216552 / Layer sizes: 10 9 4 1 Training error: 0.141247 / Test error: 0.212850 / Layer sizes: 10 9 4 1 Training error: 0.140987 / Test error: 0.212207 / Layer sizes: 10 9 4 1 Training error: 0.160499 / Test error: 0.210662 / Layer sizes: 10 3 3 1 Training error: 0.158264 / Test error: 0.209886 / Layer sizes: 10 3 3 1 Training error: 0.156485 / Test error: 0.202236 / Layer sizes: 10 3 3 1 Training error: 0.155655 / Test error: 0.197752 / Layer sizes: 10 3 3 1 Training error: 0.148750 / Test error: 0.191156 / Layer sizes: 10 3 3 1 Training error: 0.148670 / Test error: 0.182835 / Layer sizes: 10 3 3 1 Training error: 0.148642 / Test error: 0.181304 / Layer sizes: 10 3 3 1 Training error: 0.147518 / Test error: 0.174568 / Layer sizes: 10 3 3 1 Training error: 0.137691 / Test error: 0.167569 / Layer sizes: 10 3 3 1 Training error: 0.134307 / Test error: 0.159243 / Layer sizes: 10 3 3 1 Training error: 0.133662 / Test error: 0.156980 / Layer sizes: 10 3 3 1 Training error: 0.133003 / Test error: 0.155782 / Layer sizes: 10 3 3 1 Training error: 0.110527 / Test error: 0.155117 / Layer sizes: 10 3 3 1 Training error: 0.110302 / Test error: 0.152583 / Layer sizes: 10 3 3 1 Training error: 0.105571 / Test error: 0.149603 / Layer sizes: 10 3 3 1 Training error: 0.105486 / Test error: 0.145120 / Layer sizes: 10 3 3 1 Training error: 0.056364 / Test error: 0.143644 / Layer sizes: 10 7 1 Training error: 0.056123 / Test error: 0.140522 / Layer sizes: 10 7 1 Training error: 0.056026 / Test error: 0.135982 / Layer sizes: 10 7 1 Training error: 0.053334 / Test error: 0.130873 / Layer sizes: 10 7 1 Training error: 0.043824 / Test error: 0.130079 / Layer sizes: 10 3 3 1 Training error: 0.042464 / Test error: 0.122799 / Layer sizes: 10 3 3 1 Training error: 0.042439 / Test error: 0.119082 / Layer sizes: 10 3 3 1 Training error: 0.042417 / Test error: 0.118798 / Layer sizes: 10 3 3 1 Training error: 0.042302 / Test error: 0.116693 / Layer sizes: 10 3 3 1 Training error: 0.042219 / Test error: 0.115433 / Layer sizes: 10 3 3 1 Training error: 0.000815 / Test error: 0.103913 / Layer sizes: 10 10 10 1 Training error: 0.000811 / Test error: 0.095039 / Layer sizes: 10 10 10 1 Training error: 0.000772 / Test error: 0.088143 / Layer sizes: 10 10 10 1 Training error: 0.000356 / Test error: 0.082426 / Layer sizes: 10 10 10 1 Training error: 0.000277 / Test error: 0.082154 / Layer sizes: 10 10 10 1 Training error: 0.000255 / Test error: 0.081294 / Layer sizes: 10 10 10 1 Training error: 0.000218 / Test error: 0.079430 / Layer sizes: 10 10 10 1 Training error: 0.000216 / Test error: 0.067616 / Layer sizes: 10 10 10 1 Training error: 0.000166 / Test error: 0.042419 / Layer sizes: 10 10 10 1 Training error: 0.000164 / Test error: 0.042068 / Layer sizes: 10 10 10 1 Training error: 0.000027 / Test error: 0.041442 / Layer sizes: 10 10 10 1 Training error: 0.000027 / Test error: 0.041441 / Layer sizes: 10 10 10 1 Training error: 0.000027 / Test error: 0.041434 / Layer sizes: 10 10 10 1 Training error: 0.000116 / Test error: 0.039880 / Layer sizes: 10 10 1 Training error: 0.000114 / Test error: 0.035212 / Layer sizes: 10 10 1 Training error: 0.000108 / Test error: 0.003640 / Layer sizes: 10 10 1 Training error: 0.000085 / Test error: 0.000381 / Layer sizes: 10 10 1 Training error: 0.000083 / Test error: 0.000186 / Layer sizes: 10 10 1 Training error: 0.000083 / Test error: 0.000171 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 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 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. 85.11 % correct. 14.89 % wrong. Limit: 17.48 %. 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.92404 + 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.GIv7Ns 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.ctFl6r 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.8834At 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.HFTpau find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.fVB55r 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 60.49user 0.36system 1:40.95elapsed 60%CPU (0avgtext+0avgdata 35836maxresident)k 0inputs+0outputs (0major+160392minor)pagefaults 0swaps 67.39user 3.06system 1:56.79elapsed 60%CPU (0avgtext+0avgdata 109280maxresident)k 40816inputs+0outputs (0major+483206minor)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 2020-01-07 12:42:50.832593498 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)