<86>Oct 18 12:56:23 userdel[17520]: delete user 'rooter' <86>Oct 18 12:56:23 userdel[17520]: removed shadow group 'rooter' owned by 'rooter' <86>Oct 18 12:56:23 groupadd[17526]: group added to /etc/group: name=rooter, GID=597 <86>Oct 18 12:56:23 groupadd[17526]: group added to /etc/gshadow: name=rooter <86>Oct 18 12:56:23 groupadd[17526]: new group: name=rooter, GID=597 <86>Oct 18 12:56:23 useradd[17533]: new user: name=rooter, UID=597, GID=597, home=/root, shell=/bin/bash <86>Oct 18 12:56:23 userdel[17541]: delete user 'builder' <86>Oct 18 12:56:23 userdel[17541]: removed group 'builder' owned by 'builder' <86>Oct 18 12:56:23 userdel[17541]: removed shadow group 'builder' owned by 'builder' <86>Oct 18 12:56:23 groupadd[17546]: group added to /etc/group: name=builder, GID=598 <86>Oct 18 12:56:23 groupadd[17546]: group added to /etc/gshadow: name=builder <86>Oct 18 12:56:23 groupadd[17546]: new group: name=builder, GID=598 <86>Oct 18 12:56:23 useradd[17550]: new user: name=builder, UID=598, GID=598, home=/usr/src, shell=/bin/bash <13>Oct 18 12:56:27 rpmi: libruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Oct 18 12:56:27 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Oct 18 12:56:27 rpmi: libtasn1-4.14-alt1 sisyphus+235791.100.1.1 1565282372 installed <13>Oct 18 12:56:27 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Oct 18 12:56:27 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Oct 18 12:56:27 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Oct 18 12:56:27 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Oct 18 12:56:27 rpmi: ca-certificates-2019.09.10-alt1 sisyphus+237323.300.1.1 1568103476 installed <13>Oct 18 12:56:27 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Oct 18 12:56:27 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Oct 18 12:56:27 rpmi: libcrypto1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Oct 18 12:56:27 rpmi: libssl1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Oct 18 12:56:27 rpmi: openssl-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Oct 18 12:56:28 rpmi: ruby-rubygems-update-3.0.4-alt1 sisyphus+231621.240.57.1 1567243682 installed <13>Oct 18 12:56:28 rpmi: gem-did-you-mean-1.3.0-alt2.1 sisyphus+237310.1100.2.1 1568211939 installed <13>Oct 18 12:56:28 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Oct 18 12:56:28 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Oct 18 12:56:28 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Oct 18 12:56:28 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Oct 18 12:56:28 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Oct 18 12:56:28 rpmi: gem-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Oct 18 12:56:28 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Oct 18 12:56:28 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Oct 18 12:56:28 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Oct 18 12:56:28 rpmi: erb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Oct 18 12:56:28 rpmi: irb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Oct 18 12:56:28 rpmi: rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Oct 18 12:56:28 rpmi: ruby-rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Oct 18 12:56:28 rpmi: ruby-stdlibs-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Oct 18 12:56:28 rpmi: bundle-2.0.2-alt2 sisyphus+237310.400.2.1 1568211679 installed <13>Oct 18 12:56:28 rpmi: ruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Oct 18 12:56:30 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.2990 + 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.2990 + 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] 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:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (continuous_input_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 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.7267 + 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.14059 + 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: 0.995341 / Test error: 0.991953 / Layer sizes: 10 3 1 Training error: 0.995794 / Test error: 0.991391 / Layer sizes: 10 9 4 1 Training error: 0.992269 / Test error: 0.984942 / Layer sizes: 10 7 1 Training error: 0.994630 / Test error: 0.951135 / Layer sizes: 10 1 Training error: 0.986643 / Test error: 0.938174 / Layer sizes: 10 1 Training error: 0.946330 / Test error: 0.909849 / Layer sizes: 10 1 Training error: 0.942272 / Test error: 0.902481 / Layer sizes: 10 1 Training error: 0.940841 / Test error: 0.888841 / Layer sizes: 10 1 Training error: 0.903801 / Test error: 0.887064 / Layer sizes: 10 1 Training error: 0.896225 / Test error: 0.875076 / Layer sizes: 10 7 1 Training error: 0.893384 / Test error: 0.874030 / Layer sizes: 10 7 1 Training error: 0.878851 / Test error: 0.855631 / Layer sizes: 10 7 1 Training error: 0.876766 / Test error: 0.830576 / Layer sizes: 10 7 1 Training error: 0.854598 / Test error: 0.824512 / Layer sizes: 10 7 1 Training error: 0.829645 / Test error: 0.801759 / Layer sizes: 10 7 1 Training error: 0.701735 / Test error: 0.785292 / Layer sizes: 10 1 Training error: 0.690829 / Test error: 0.761836 / Layer sizes: 10 1 Training error: 0.687597 / Test error: 0.749880 / Layer sizes: 10 1 Training error: 0.737856 / Test error: 0.747362 / Layer sizes: 10 3 1 Training error: 0.734158 / Test error: 0.731707 / Layer sizes: 10 3 1 Training error: 0.725075 / Test error: 0.719196 / Layer sizes: 10 3 1 Training error: 0.707950 / Test error: 0.688688 / Layer sizes: 10 3 1 Training error: 0.689407 / Test error: 0.684344 / Layer sizes: 10 3 1 Training error: 0.548538 / Test error: 0.679058 / Layer sizes: 10 1 Training error: 0.605185 / Test error: 0.667394 / Layer sizes: 10 10 1 Training error: 0.603283 / Test error: 0.656009 / Layer sizes: 10 10 1 Training error: 0.545879 / Test error: 0.651564 / Layer sizes: 10 1 Training error: 0.540891 / Test error: 0.641920 / Layer sizes: 10 1 Training error: 0.538122 / Test error: 0.632465 / Layer sizes: 10 1 Training error: 0.530134 / Test error: 0.627496 / Layer sizes: 10 1 Training error: 0.528300 / Test error: 0.615761 / Layer sizes: 10 1 Training error: 0.527681 / Test error: 0.615232 / Layer sizes: 10 1 Training error: 0.581363 / Test error: 0.614704 / Layer sizes: 10 3 1 Training error: 0.554071 / Test error: 0.609068 / Layer sizes: 10 10 1 Training error: 0.566496 / Test error: 0.600662 / Layer sizes: 10 3 1 Training error: 0.563136 / Test error: 0.589608 / Layer sizes: 10 3 1 Training error: 0.537201 / Test error: 0.561370 / Layer sizes: 10 10 1 Training error: 0.532596 / Test error: 0.549252 / Layer sizes: 10 10 1 Training error: 0.527560 / Test error: 0.546270 / Layer sizes: 10 10 1 Training error: 0.520524 / Test error: 0.536806 / Layer sizes: 10 10 1 Training error: 0.519564 / Test error: 0.535230 / Layer sizes: 10 10 1 Training error: 0.474179 / Test error: 0.533400 / Layer sizes: 10 10 1 Training error: 0.503488 / Test error: 0.532935 / Layer sizes: 10 1 Training error: 0.503299 / Test error: 0.522488 / Layer sizes: 10 1 Training error: 0.498393 / Test error: 0.510666 / Layer sizes: 10 1 Training error: 0.489417 / Test error: 0.506075 / Layer sizes: 10 3 3 1 Training error: 0.485710 / Test error: 0.484213 / Layer sizes: 10 3 3 1 Training error: 0.483734 / Test error: 0.482072 / Layer sizes: 10 1 Training error: 0.481815 / Test error: 0.478934 / Layer sizes: 10 1 Training error: 0.481303 / Test error: 0.473899 / Layer sizes: 10 1 Training error: 0.435278 / Test error: 0.472303 / Layer sizes: 10 10 10 1 Training error: 0.427025 / Test error: 0.460826 / Layer sizes: 10 10 10 1 Training error: 0.409786 / Test error: 0.438809 / Layer sizes: 10 10 10 1 Training error: 0.389535 / Test error: 0.438351 / Layer sizes: 10 10 10 1 Training error: 0.381908 / Test error: 0.434471 / Layer sizes: 10 10 10 1 Training error: 0.378934 / Test error: 0.431905 / Layer sizes: 10 10 10 1 Training error: 0.344712 / Test error: 0.427351 / Layer sizes: 10 10 10 1 Training error: 0.321582 / Test error: 0.413228 / Layer sizes: 10 10 10 1 Training error: 0.286621 / Test error: 0.395218 / Layer sizes: 10 3 1 Training error: 0.285670 / Test error: 0.375874 / Layer sizes: 10 3 1 Training error: 0.273048 / Test error: 0.374234 / Layer sizes: 10 3 1 Training error: 0.268966 / Test error: 0.368566 / Layer sizes: 10 3 1 Training error: 0.247578 / Test error: 0.367188 / Layer sizes: 10 3 1 Training error: 0.241586 / Test error: 0.348585 / Layer sizes: 10 3 1 Training error: 0.238847 / Test error: 0.342210 / Layer sizes: 10 3 1 Training error: 0.228661 / Test error: 0.332897 / Layer sizes: 10 3 1 Training error: 0.214344 / Test error: 0.326810 / Layer sizes: 10 3 1 Training error: 0.213729 / Test error: 0.316545 / Layer sizes: 10 3 1 Training error: 0.193116 / Test error: 0.313528 / Layer sizes: 10 3 1 Training error: 0.189698 / Test error: 0.305721 / Layer sizes: 10 3 1 Training error: 0.186787 / Test error: 0.291180 / Layer sizes: 10 3 1 Training error: 0.186465 / Test error: 0.263113 / Layer sizes: 10 3 1 Training error: 0.186412 / Test error: 0.262468 / Layer sizes: 10 3 1 Training error: 0.170830 / Test error: 0.252057 / Layer sizes: 10 3 1 Training error: 0.155894 / Test error: 0.246185 / Layer sizes: 10 3 1 Training error: 0.155429 / Test error: 0.232663 / Layer sizes: 10 3 1 Training error: 0.150138 / Test error: 0.228911 / Layer sizes: 10 3 1 Training error: 0.144859 / Test error: 0.220074 / Layer sizes: 10 3 1 Training error: 0.142571 / Test error: 0.213721 / Layer sizes: 10 3 1 Training error: 0.132760 / Test error: 0.210546 / Layer sizes: 10 3 1 Training error: 0.128182 / Test error: 0.185906 / Layer sizes: 10 3 1 Training error: 0.126504 / Test error: 0.184322 / Layer sizes: 10 3 1 Training error: 0.089876 / Test error: 0.181434 / Layer sizes: 10 3 1 Training error: 0.080405 / Test error: 0.180942 / Layer sizes: 10 3 1 Training error: 0.078427 / Test error: 0.177434 / Layer sizes: 10 3 1 Training error: 0.075939 / Test error: 0.175718 / Layer sizes: 10 3 1 Training error: 0.073414 / Test error: 0.170503 / Layer sizes: 10 3 1 Training error: 0.064255 / Test error: 0.157717 / Layer sizes: 10 3 1 Training error: 0.061595 / Test error: 0.154562 / Layer sizes: 10 3 1 Training error: 0.060729 / Test error: 0.141157 / Layer sizes: 10 3 1 Training error: 0.059404 / Test error: 0.119592 / Layer sizes: 10 3 1 Training error: 0.059165 / Test error: 0.116507 / Layer sizes: 10 3 1 Training error: 0.047355 / Test error: 0.111895 / Layer sizes: 10 3 1 Training error: 0.044279 / Test error: 0.102444 / Layer sizes: 10 3 1 Training error: 0.043646 / Test error: 0.096280 / Layer sizes: 10 3 1 Training error: 0.034900 / Test error: 0.088917 / Layer sizes: 10 3 1 Training error: 0.034404 / Test error: 0.085575 / Layer sizes: 10 3 1 Training error: 0.027614 / Test error: 0.083561 / Layer sizes: 10 3 1 Training error: 0.025117 / Test error: 0.082885 / Layer sizes: 10 3 1 Training error: 0.022014 / Test error: 0.076260 / Layer sizes: 10 3 1 Training error: 0.018151 / Test error: 0.075631 / Layer sizes: 10 3 1 Training error: 0.012351 / Test error: 0.069290 / Layer sizes: 10 3 1 Training error: 0.010472 / Test error: 0.060656 / Layer sizes: 10 3 1 Training error: 0.010369 / Test error: 0.053509 / Layer sizes: 10 3 1 Training error: 0.010325 / Test error: 0.052855 / Layer sizes: 10 3 1 Training error: 0.008731 / Test error: 0.050381 / Layer sizes: 10 3 1 Training error: 0.008176 / Test error: 0.046485 / Layer sizes: 10 3 1 Training error: 0.001231 / Test error: 0.045358 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.041653 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041652 / 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 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 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 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 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 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. 91.46 % correct. 8.54 % wrong. Limit: 17.90 %. 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.55338 + 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.Dv1WPZ 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.kbbs3i 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), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.kPEksf 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.qVEDhr find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.ZYbm3f 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 78.90user 1.05system 1:42.00elapsed 78%CPU (0avgtext+0avgdata 37604maxresident)k 0inputs+0outputs (0major+162729minor)pagefaults 0swaps 88.52user 6.45system 1:57.42elapsed 80%CPU (0avgtext+0avgdata 113284maxresident)k 0inputs+0outputs (0major+484665minor)pagefaults 0swaps