<86>Apr 19 12:59:20 userdel[1761170]: delete user 'rooter' <86>Apr 19 12:59:20 userdel[1761170]: removed group 'rooter' owned by 'rooter' <86>Apr 19 12:59:20 userdel[1761170]: removed shadow group 'rooter' owned by 'rooter' <86>Apr 19 12:59:20 groupadd[1761209]: group added to /etc/group: name=rooter, GID=573 <86>Apr 19 12:59:20 groupadd[1761209]: group added to /etc/gshadow: name=rooter <86>Apr 19 12:59:20 groupadd[1761209]: new group: name=rooter, GID=573 <86>Apr 19 12:59:20 useradd[1761259]: new user: name=rooter, UID=573, GID=573, home=/root, shell=/bin/bash <86>Apr 19 12:59:20 userdel[1761283]: delete user 'builder' <86>Apr 19 12:59:20 userdel[1761283]: removed group 'builder' owned by 'builder' <86>Apr 19 12:59:20 userdel[1761283]: removed shadow group 'builder' owned by 'builder' <86>Apr 19 12:59:20 groupadd[1761291]: group added to /etc/group: name=builder, GID=574 <86>Apr 19 12:59:20 groupadd[1761291]: group added to /etc/gshadow: name=builder <86>Apr 19 12:59:20 groupadd[1761291]: new group: name=builder, GID=574 <86>Apr 19 12:59:20 useradd[1761300]: new user: name=builder, UID=574, GID=574, home=/usr/src, shell=/bin/bash <13>Apr 19 12:59:23 rpmi: libruby-2.5.5-alt3 p9+231429.100.1.1 1559580214 installed <13>Apr 19 12:59:23 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Apr 19 12:59:23 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed <13>Apr 19 12:59:23 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Apr 19 12:59:23 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Apr 19 12:59:23 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Apr 19 12:59:23 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Apr 19 12:59:23 rpmi: ca-certificates-2020.01.23-alt1 p9+245253.100.3.1 1580749631 installed <13>Apr 19 12:59:23 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed <13>Apr 19 12:59:23 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Apr 19 12:59:23 rpmi: libcrypto1.1-1.1.1d-alt1.1 p9+237853.200.3.1 1569251834 installed <13>Apr 19 12:59:23 rpmi: libssl1.1-1.1.1d-alt1.1 p9+237853.200.3.1 1569251834 installed <13>Apr 19 12:59:23 rpmi: ruby-rubygems-update-3.0.3-alt1 sisyphus+226411.5400.6.1 1554381326 installed <13>Apr 19 12:59:23 rpmi: gem-did-you-mean-1.3.0-alt1 sisyphus+219587.100.1.1 1547808061 installed <13>Apr 19 12:59:23 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Apr 19 12:59:23 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Apr 19 12:59:23 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Apr 19 12:59:23 rpmi: rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Apr 19 12:59:23 rpmi: ruby-rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Apr 19 12:59:23 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Apr 19 12:59:23 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Apr 19 12:59:23 rpmi: gem-2.5.5-alt3 p9+231429.100.1.1 1559580197 installed <13>Apr 19 12:59:23 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 19 12:59:23 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 19 12:59:23 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 19 12:59:24 rpmi: ruby-stdlibs-2.5.5-alt3 p9+231429.100.1.1 1559580214 installed <13>Apr 19 12:59:24 rpmi: erb-2.5.5-alt3 p9+231429.100.1.1 1559580197 installed <13>Apr 19 12:59:24 rpmi: irb-2.5.5-alt3 p9+231429.100.1.1 1559580197 installed <13>Apr 19 12:59:24 rpmi: ruby-bundler-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Apr 19 12:59:24 rpmi: bundle-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Apr 19 12:59:24 rpmi: ruby-2.5.5-alt3 p9+231429.100.1.1 1559580214 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.24152 + 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.35715 + 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.16881 + 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.16881 + 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: 0.997262 / Test error: 0.995881 / Layer sizes: 10 10 1 Training error: 0.988226 / Test error: 0.983927 / Layer sizes: 10 1 Training error: 0.987643 / Test error: 0.982056 / Layer sizes: 10 3 1 Training error: 0.959651 / Test error: 0.973372 / Layer sizes: 10 1 Training error: 0.980663 / Test error: 0.972041 / Layer sizes: 10 10 10 1 Training error: 0.975178 / Test error: 0.964014 / Layer sizes: 10 3 1 Training error: 0.927110 / Test error: 0.940164 / Layer sizes: 10 1 Training error: 0.880035 / Test error: 0.879506 / Layer sizes: 10 1 Training error: 0.852762 / Test error: 0.871723 / Layer sizes: 10 1 Training error: 0.843321 / Test error: 0.845502 / Layer sizes: 10 1 Training error: 0.820347 / Test error: 0.832435 / Layer sizes: 10 1 Training error: 0.815417 / Test error: 0.830943 / Layer sizes: 10 1 Training error: 0.796610 / Test error: 0.827053 / Layer sizes: 10 1 Training error: 0.787915 / Test error: 0.819478 / Layer sizes: 10 1 Training error: 0.781581 / Test error: 0.811805 / Layer sizes: 10 1 Training error: 0.774954 / Test error: 0.800402 / Layer sizes: 10 1 Training error: 0.773457 / Test error: 0.798080 / Layer sizes: 10 1 Training error: 0.737360 / Test error: 0.769520 / Layer sizes: 10 1 Training error: 0.711029 / Test error: 0.728199 / Layer sizes: 10 1 Training error: 0.699283 / Test error: 0.724211 / Layer sizes: 10 1 Training error: 0.691905 / Test error: 0.721184 / Layer sizes: 10 1 Training error: 0.688941 / Test error: 0.699812 / Layer sizes: 10 1 Training error: 0.673167 / Test error: 0.670772 / Layer sizes: 10 1 Training error: 0.661030 / Test error: 0.663907 / Layer sizes: 10 1 Training error: 0.646540 / Test error: 0.646925 / Layer sizes: 10 1 Training error: 0.645032 / Test error: 0.641353 / Layer sizes: 10 1 Training error: 0.626801 / Test error: 0.620954 / Layer sizes: 10 1 Training error: 0.614957 / Test error: 0.606543 / Layer sizes: 10 1 Training error: 0.597534 / Test error: 0.595101 / Layer sizes: 10 1 Training error: 0.579941 / Test error: 0.562250 / Layer sizes: 10 1 Training error: 0.577416 / Test error: 0.555564 / Layer sizes: 10 1 Training error: 0.570549 / Test error: 0.530733 / Layer sizes: 10 1 Training error: 0.569072 / Test error: 0.526808 / Layer sizes: 10 1 Training error: 0.567249 / Test error: 0.523983 / Layer sizes: 10 1 Training error: 0.558175 / Test error: 0.512300 / Layer sizes: 10 1 Training error: 0.553724 / Test error: 0.497903 / Layer sizes: 10 1 Training error: 0.546946 / Test error: 0.496980 / Layer sizes: 10 1 Training error: 0.539365 / Test error: 0.487744 / Layer sizes: 10 1 Training error: 0.535355 / Test error: 0.481275 / Layer sizes: 10 1 Training error: 0.532535 / Test error: 0.479292 / Layer sizes: 10 1 Training error: 0.531746 / Test error: 0.470508 / Layer sizes: 10 1 Training error: 0.523200 / Test error: 0.461771 / Layer sizes: 10 1 Training error: 0.518321 / Test error: 0.460490 / Layer sizes: 10 1 Training error: 0.516219 / Test error: 0.451589 / Layer sizes: 10 1 Training error: 0.508725 / Test error: 0.437249 / Layer sizes: 10 1 Training error: 0.492341 / Test error: 0.431168 / Layer sizes: 10 1 Training error: 0.480533 / Test error: 0.425824 / Layer sizes: 10 1 Training error: 0.473002 / Test error: 0.424016 / Layer sizes: 10 1 Training error: 0.466100 / Test error: 0.423166 / Layer sizes: 10 1 Training error: 0.461348 / Test error: 0.414669 / Layer sizes: 10 1 Training error: 0.459694 / Test error: 0.414299 / Layer sizes: 10 1 Training error: 0.458039 / Test error: 0.414133 / Layer sizes: 10 1 Training error: 0.441350 / Test error: 0.409238 / Layer sizes: 10 1 Training error: 0.434585 / Test error: 0.398455 / Layer sizes: 10 1 Training error: 0.428149 / Test error: 0.393899 / Layer sizes: 10 1 Training error: 0.427440 / Test error: 0.386291 / Layer sizes: 10 1 Training error: 0.422686 / Test error: 0.384285 / Layer sizes: 10 1 Training error: 0.419901 / Test error: 0.382468 / Layer sizes: 10 1 Training error: 0.418827 / Test error: 0.382319 / Layer sizes: 10 1 Training error: 0.412575 / Test error: 0.382147 / Layer sizes: 10 1 Training error: 0.409049 / Test error: 0.380364 / Layer sizes: 10 1 Training error: 0.407456 / Test error: 0.372263 / Layer sizes: 10 1 Training error: 0.406304 / Test error: 0.370542 / Layer sizes: 10 1 Training error: 0.405731 / Test error: 0.366576 / Layer sizes: 10 1 Training error: 0.404624 / Test error: 0.362757 / Layer sizes: 10 1 Training error: 0.403978 / Test error: 0.361075 / Layer sizes: 10 1 Training error: 0.402080 / Test error: 0.359306 / Layer sizes: 10 1 Training error: 0.387719 / Test error: 0.354147 / Layer sizes: 10 3 1 Training error: 0.397711 / Test error: 0.352239 / Layer sizes: 10 1 Training error: 0.396049 / Test error: 0.346496 / Layer sizes: 10 1 Training error: 0.395525 / Test error: 0.345205 / Layer sizes: 10 1 Training error: 0.394655 / Test error: 0.341066 / Layer sizes: 10 1 Training error: 0.274550 / Test error: 0.329019 / Layer sizes: 10 7 1 Training error: 0.278461 / Test error: 0.328859 / Layer sizes: 10 3 1 Training error: 0.277789 / Test error: 0.328744 / Layer sizes: 10 3 1 Training error: 0.273241 / Test error: 0.319928 / Layer sizes: 10 3 1 Training error: 0.263069 / Test error: 0.312656 / Layer sizes: 10 3 1 Training error: 0.261279 / Test error: 0.311565 / Layer sizes: 10 3 1 Training error: 0.260184 / Test error: 0.307469 / Layer sizes: 10 3 1 Training error: 0.259932 / Test error: 0.297216 / Layer sizes: 10 3 1 Training error: 0.256868 / Test error: 0.288119 / Layer sizes: 10 3 1 Training error: 0.256601 / Test error: 0.287661 / Layer sizes: 10 3 1 Training error: 0.230464 / Test error: 0.285187 / Layer sizes: 10 3 1 Training error: 0.228440 / Test error: 0.273551 / Layer sizes: 10 3 1 Training error: 0.148173 / Test error: 0.262491 / Layer sizes: 10 3 1 Training error: 0.146806 / Test error: 0.259148 / Layer sizes: 10 3 1 Training error: 0.138032 / Test error: 0.255855 / Layer sizes: 10 3 1 Training error: 0.136722 / Test error: 0.251602 / Layer sizes: 10 3 1 Training error: 0.124449 / Test error: 0.248098 / Layer sizes: 10 3 1 Training error: 0.078985 / Test error: 0.237415 / Layer sizes: 10 10 10 1 Training error: 0.077230 / Test error: 0.232713 / Layer sizes: 10 10 10 1 Training error: 0.074399 / Test error: 0.231916 / Layer sizes: 10 10 10 1 Training error: 0.071865 / Test error: 0.231030 / Layer sizes: 10 10 10 1 Training error: 0.070516 / Test error: 0.224524 / Layer sizes: 10 10 10 1 Training error: 0.064583 / Test error: 0.221866 / Layer sizes: 10 10 10 1 Training error: 0.031491 / Test error: 0.218822 / Layer sizes: 10 10 10 1 Training error: 0.025265 / Test error: 0.205686 / Layer sizes: 10 10 10 1 Training error: 0.024996 / Test error: 0.199122 / Layer sizes: 10 10 10 1 Training error: 0.024773 / Test error: 0.194645 / Layer sizes: 10 10 10 1 Training error: 0.023528 / Test error: 0.191978 / Layer sizes: 10 10 10 1 Training error: 0.022671 / Test error: 0.187339 / Layer sizes: 10 10 10 1 Training error: 0.021768 / Test error: 0.186280 / Layer sizes: 10 10 10 1 Training error: 0.021760 / Test error: 0.183619 / Layer sizes: 10 10 10 1 Training error: 0.021047 / Test error: 0.179133 / Layer sizes: 10 10 10 1 Training error: 0.020765 / Test error: 0.174149 / Layer sizes: 10 10 10 1 Training error: 0.020005 / Test error: 0.170243 / Layer sizes: 10 10 10 1 Training error: 0.017934 / Test error: 0.167264 / Layer sizes: 10 10 10 1 Training error: 0.047316 / Test error: 0.162657 / Layer sizes: 10 10 1 Training error: 0.046393 / Test error: 0.155496 / Layer sizes: 10 10 1 Training error: 0.045183 / Test error: 0.153790 / Layer sizes: 10 10 1 Training error: 0.024104 / Test error: 0.150592 / Layer sizes: 10 7 1 Training error: 0.023853 / Test error: 0.150498 / Layer sizes: 10 7 1 Training error: 0.023664 / Test error: 0.149761 / Layer sizes: 10 7 1 Training error: 0.028021 / Test error: 0.148166 / Layer sizes: 10 10 1 Training error: 0.027848 / Test error: 0.147120 / Layer sizes: 10 10 1 Training error: 0.027671 / Test error: 0.146968 / Layer sizes: 10 10 1 Training error: 0.027473 / Test error: 0.143249 / Layer sizes: 10 10 1 Training error: 0.027071 / Test error: 0.140222 / Layer sizes: 10 10 1 Training error: 0.026117 / Test error: 0.130949 / Layer sizes: 10 10 1 Training error: 0.026035 / Test error: 0.124801 / Layer sizes: 10 10 1 Training error: 0.025873 / Test error: 0.117195 / Layer sizes: 10 10 1 Training error: 0.025228 / Test error: 0.114154 / Layer sizes: 10 10 1 Training error: 0.025226 / Test error: 0.113919 / Layer sizes: 10 10 1 Training error: 0.025172 / Test error: 0.106594 / Layer sizes: 10 10 1 Training error: 0.025117 / Test error: 0.102255 / Layer sizes: 10 10 1 Training error: 0.024908 / Test error: 0.094868 / Layer sizes: 10 10 1 Training error: 0.001977 / Test error: 0.086972 / Layer sizes: 10 9 4 1 Training error: 0.001206 / Test error: 0.082651 / Layer sizes: 10 9 4 1 Training error: 0.001199 / Test error: 0.081681 / Layer sizes: 10 9 4 1 Training error: 0.000201 / Test error: 0.076925 / Layer sizes: 10 7 1 Training error: 0.000186 / Test error: 0.068291 / Layer sizes: 10 7 1 Training error: 0.000028 / Test error: 0.049057 / Layer sizes: 10 7 1 Training error: 0.000026 / Test error: 0.041416 / Layer sizes: 10 7 1 Training error: 0.000026 / Test error: 0.041199 / Layer sizes: 10 7 1 Training error: 0.000025 / Test error: 0.041033 / Layer sizes: 10 7 1 Training error: 0.000025 / Test error: 0.041020 / Layer sizes: 10 7 1 Training error: 0.000025 / Test error: 0.040981 / Layer sizes: 10 7 1 Training error: 0.000025 / Test error: 0.040976 / Layer sizes: 10 7 1 Training error: 0.000022 / Test error: 0.040900 / Layer sizes: 10 7 1 Training error: 0.000022 / Test error: 0.040895 / Layer sizes: 10 7 1 Training error: 0.000022 / Test error: 0.040872 / Layer sizes: 10 7 1 Training error: 0.000013 / Test error: 0.040311 / Layer sizes: 10 10 1 Training error: 0.000012 / Test error: 0.038884 / Layer sizes: 10 10 1 Training error: 0.000012 / Test error: 0.000080 / Layer sizes: 10 10 1 Training error: 0.000012 / Test error: 0.000079 / Layer sizes: 10 10 1 Training error: 0.000012 / Test error: 0.000054 / Layer sizes: 10 10 1 Training error: 0.000012 / Test error: 0.000050 / Layer sizes: 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. 91.70 % correct. 8.30 % wrong. Limit: 17.98 %. 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.41679 + 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.ZccSuk 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.jfnB3n 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.nYrnNi 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.dZUdQp find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.WHgw7m 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 78.91user 0.77system 1:42.35elapsed 77%CPU (0avgtext+0avgdata 37524maxresident)k 0inputs+0outputs (0major+162714minor)pagefaults 0swaps 83.37user 3.39system 1:52.28elapsed 77%CPU (0avgtext+0avgdata 115500maxresident)k 0inputs+0outputs (0major+474343minor)pagefaults 0swaps