<86>Oct 7 12:17:41 userdel[77073]: delete user 'rooter' <86>Oct 7 12:17:41 userdel[77073]: removed group 'rooter' owned by 'rooter' <86>Oct 7 12:17:41 groupadd[77181]: group added to /etc/group: name=rooter, GID=591 <86>Oct 7 12:17:41 groupadd[77181]: group added to /etc/gshadow: name=rooter <86>Oct 7 12:17:41 groupadd[77181]: new group: name=rooter, GID=591 <86>Oct 7 12:17:41 useradd[77223]: new user: name=rooter, UID=591, GID=591, home=/root, shell=/bin/bash <86>Oct 7 12:17:41 userdel[77247]: delete user 'builder' <86>Oct 7 12:17:41 userdel[77247]: removed group 'builder' owned by 'builder' <86>Oct 7 12:17:41 userdel[77247]: removed shadow group 'builder' owned by 'builder' <86>Oct 7 12:17:41 groupadd[77263]: group added to /etc/group: name=builder, GID=592 <86>Oct 7 12:17:41 groupadd[77263]: group added to /etc/gshadow: name=builder <86>Oct 7 12:17:41 groupadd[77263]: new group: name=builder, GID=592 <86>Oct 7 12:17:41 useradd[77275]: new user: name=builder, UID=592, GID=592, home=/usr/src, shell=/bin/bash <13>Oct 7 12:17:46 rpmi: libruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Oct 7 12:17:46 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Oct 7 12:17:46 rpmi: libtasn1-4.14-alt1 sisyphus+235791.100.1.1 1565282372 installed <13>Oct 7 12:17:46 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Oct 7 12:17:46 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Oct 7 12:17:46 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Oct 7 12:17:46 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Oct 7 12:17:46 rpmi: ca-certificates-2019.09.10-alt1 sisyphus+237323.300.1.1 1568103476 installed <13>Oct 7 12:17:46 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Oct 7 12:17:46 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Oct 7 12:17:46 rpmi: libcrypto1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Oct 7 12:17:46 rpmi: libssl1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Oct 7 12:17:46 rpmi: openssl-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Oct 7 12:17:46 rpmi: ruby-rubygems-update-3.0.4-alt1 sisyphus+231621.240.57.1 1567243682 installed <13>Oct 7 12:17:46 rpmi: gem-did-you-mean-1.3.0-alt2.1 sisyphus+237310.1100.2.1 1568211939 installed <13>Oct 7 12:17:46 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Oct 7 12:17:46 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Oct 7 12:17:46 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Oct 7 12:17:46 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Oct 7 12:17:46 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Oct 7 12:17:46 rpmi: gem-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Oct 7 12:17:46 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Oct 7 12:17:46 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Oct 7 12:17:46 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Oct 7 12:17:46 rpmi: erb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Oct 7 12:17:46 rpmi: irb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Oct 7 12:17:46 rpmi: rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Oct 7 12:17:46 rpmi: ruby-rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Oct 7 12:17:47 rpmi: ruby-stdlibs-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Oct 7 12:17:47 rpmi: bundle-2.0.2-alt2 sisyphus+237310.400.2.1 1568211679 installed <13>Oct 7 12:17:47 rpmi: ruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Oct 7 12:17:48 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.82845 + 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.65937 + 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.1674 + 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.1674 + 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: 0.990142 / Test error: 0.990533 / Layer sizes: 10 7 1 Training error: 0.954055 / Test error: 0.946799 / Layer sizes: 10 1 Training error: 0.937152 / Test error: 0.940074 / Layer sizes: 10 1 Training error: 0.911109 / Test error: 0.914334 / Layer sizes: 10 1 Training error: 0.892248 / Test error: 0.911316 / Layer sizes: 10 1 Training error: 0.876075 / Test error: 0.886542 / Layer sizes: 10 1 Training error: 0.866562 / Test error: 0.858385 / Layer sizes: 10 1 Training error: 0.864771 / Test error: 0.857441 / Layer sizes: 10 1 Training error: 0.807908 / Test error: 0.856316 / Layer sizes: 10 1 Training error: 0.727959 / Test error: 0.836886 / Layer sizes: 10 1 Training error: 0.721710 / Test error: 0.810397 / Layer sizes: 10 1 Training error: 0.719890 / Test error: 0.800871 / Layer sizes: 10 1 Training error: 0.700872 / Test error: 0.752521 / Layer sizes: 10 1 Training error: 0.690199 / Test error: 0.736362 / Layer sizes: 10 1 Training error: 0.682073 / Test error: 0.698631 / Layer sizes: 10 1 Training error: 0.659030 / Test error: 0.682442 / Layer sizes: 10 1 Training error: 0.653572 / Test error: 0.670838 / Layer sizes: 10 1 Training error: 0.650997 / Test error: 0.654892 / Layer sizes: 10 1 Training error: 0.644698 / Test error: 0.654458 / Layer sizes: 10 1 Training error: 0.644247 / Test error: 0.635484 / Layer sizes: 10 1 Training error: 0.640903 / Test error: 0.632648 / Layer sizes: 10 1 Training error: 0.634531 / Test error: 0.627051 / Layer sizes: 10 1 Training error: 0.627661 / Test error: 0.613797 / Layer sizes: 10 1 Training error: 0.624892 / Test error: 0.602542 / Layer sizes: 10 1 Training error: 0.611386 / Test error: 0.594417 / Layer sizes: 10 1 Training error: 0.603443 / Test error: 0.581556 / Layer sizes: 10 1 Training error: 0.596147 / Test error: 0.564305 / Layer sizes: 10 1 Training error: 0.591905 / Test error: 0.557403 / Layer sizes: 10 1 Training error: 0.590751 / Test error: 0.549050 / Layer sizes: 10 1 Training error: 0.588080 / Test error: 0.541395 / Layer sizes: 10 1 Training error: 0.585932 / Test error: 0.539785 / Layer sizes: 10 1 Training error: 0.582086 / Test error: 0.538533 / Layer sizes: 10 1 Training error: 0.581711 / Test error: 0.538398 / Layer sizes: 10 1 Training error: 0.570896 / Test error: 0.511943 / Layer sizes: 10 1 Training error: 0.560777 / Test error: 0.511331 / Layer sizes: 10 1 Training error: 0.559761 / Test error: 0.495107 / Layer sizes: 10 1 Training error: 0.554206 / Test error: 0.483921 / Layer sizes: 10 1 Training error: 0.551679 / Test error: 0.481142 / Layer sizes: 10 1 Training error: 0.550660 / Test error: 0.468631 / Layer sizes: 10 1 Training error: 0.549513 / Test error: 0.454450 / Layer sizes: 10 1 Training error: 0.540107 / Test error: 0.448818 / Layer sizes: 10 1 Training error: 0.538964 / Test error: 0.443071 / Layer sizes: 10 1 Training error: 0.538843 / Test error: 0.434980 / Layer sizes: 10 1 Training error: 0.512382 / Test error: 0.404693 / Layer sizes: 10 9 4 1 Training error: 0.506056 / Test error: 0.400569 / Layer sizes: 10 9 4 1 Training error: 0.480813 / Test error: 0.379562 / Layer sizes: 10 9 4 1 Training error: 0.446416 / Test error: 0.378404 / Layer sizes: 10 9 4 1 Training error: 0.440062 / Test error: 0.357204 / Layer sizes: 10 9 4 1 Training error: 0.438930 / Test error: 0.343612 / Layer sizes: 10 9 4 1 Training error: 0.437697 / Test error: 0.343494 / Layer sizes: 10 9 4 1 Training error: 0.435269 / Test error: 0.340944 / Layer sizes: 10 9 4 1 Training error: 0.434578 / Test error: 0.326705 / Layer sizes: 10 9 4 1 Training error: 0.391987 / Test error: 0.326379 / Layer sizes: 10 9 4 1 Training error: 0.372670 / Test error: 0.313652 / Layer sizes: 10 9 4 1 Training error: 0.366362 / Test error: 0.305358 / Layer sizes: 10 9 4 1 Training error: 0.363471 / Test error: 0.304791 / Layer sizes: 10 9 4 1 Training error: 0.363041 / Test error: 0.299310 / Layer sizes: 10 9 4 1 Training error: 0.351381 / Test error: 0.298387 / Layer sizes: 10 9 4 1 Training error: 0.346036 / Test error: 0.288030 / Layer sizes: 10 9 4 1 Training error: 0.343321 / Test error: 0.280435 / Layer sizes: 10 9 4 1 Training error: 0.273845 / Test error: 0.279108 / Layer sizes: 10 9 4 1 Training error: 0.270864 / Test error: 0.278756 / Layer sizes: 10 9 4 1 Training error: 0.268696 / Test error: 0.273828 / Layer sizes: 10 9 4 1 Training error: 0.263464 / Test error: 0.265734 / Layer sizes: 10 9 4 1 Training error: 0.238155 / Test error: 0.260886 / Layer sizes: 10 9 4 1 Training error: 0.234502 / Test error: 0.255713 / Layer sizes: 10 9 4 1 Training error: 0.194716 / Test error: 0.255443 / Layer sizes: 10 9 4 1 Training error: 0.190507 / Test error: 0.252832 / Layer sizes: 10 9 4 1 Training error: 0.189879 / Test error: 0.248611 / Layer sizes: 10 9 4 1 Training error: 0.185600 / Test error: 0.243161 / Layer sizes: 10 9 4 1 Training error: 0.142725 / Test error: 0.234589 / Layer sizes: 10 9 4 1 Training error: 0.134008 / Test error: 0.231412 / Layer sizes: 10 9 4 1 Training error: 0.133112 / Test error: 0.225472 / Layer sizes: 10 9 4 1 Training error: 0.132640 / Test error: 0.223317 / Layer sizes: 10 9 4 1 Training error: 0.130458 / Test error: 0.221795 / Layer sizes: 10 9 4 1 Training error: 0.128195 / Test error: 0.221625 / Layer sizes: 10 9 4 1 Training error: 0.057068 / Test error: 0.219566 / Layer sizes: 10 9 4 1 Training error: 0.034291 / Test error: 0.216908 / Layer sizes: 10 9 4 1 Training error: 0.027336 / Test error: 0.214074 / Layer sizes: 10 9 4 1 Training error: 0.026102 / Test error: 0.206673 / Layer sizes: 10 9 4 1 Training error: 0.023139 / Test error: 0.203760 / Layer sizes: 10 9 4 1 Training error: 0.022056 / Test error: 0.197701 / Layer sizes: 10 9 4 1 Training error: 0.021247 / Test error: 0.196363 / Layer sizes: 10 9 4 1 Training error: 0.021096 / Test error: 0.182039 / Layer sizes: 10 9 4 1 Training error: 0.020596 / Test error: 0.176195 / Layer sizes: 10 9 4 1 Training error: 0.020414 / Test error: 0.157403 / Layer sizes: 10 9 4 1 Training error: 0.020217 / Test error: 0.146977 / Layer sizes: 10 9 4 1 Training error: 0.018447 / Test error: 0.141614 / Layer sizes: 10 9 4 1 Training error: 0.018407 / Test error: 0.133895 / Layer sizes: 10 9 4 1 Training error: 0.017940 / Test error: 0.130131 / Layer sizes: 10 9 4 1 Training error: 0.017842 / Test error: 0.128005 / Layer sizes: 10 9 4 1 Training error: 0.006875 / Test error: 0.126444 / Layer sizes: 10 9 4 1 Training error: 0.006760 / Test error: 0.121944 / Layer sizes: 10 9 4 1 Training error: 0.006684 / Test error: 0.112634 / Layer sizes: 10 9 4 1 Training error: 0.000827 / Test error: 0.112017 / Layer sizes: 10 9 4 1 Training error: 0.000821 / Test error: 0.076818 / Layer sizes: 10 9 4 1 Training error: 0.000658 / Test error: 0.061023 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.041662 / 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 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. 90.45 % correct. 9.55 % wrong. Limit: 17.41 %. 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.34583 + 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.wj39PS 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.QIXhS5 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.CfvJnw 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.XoCjhu find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.M8eoYg 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 36.07user 0.43system 1:45.03elapsed 34%CPU (0avgtext+0avgdata 37488maxresident)k 0inputs+0outputs (0major+162744minor)pagefaults 0swaps 42.63user 2.86system 2:02.03elapsed 37%CPU (0avgtext+0avgdata 113568maxresident)k 0inputs+0outputs (0major+485638minor)pagefaults 0swaps