<86>Jul 18 11:36:38 userdel[21566]: delete user 'rooter' <86>Jul 18 11:36:38 userdel[21566]: removed group 'rooter' owned by 'rooter' <86>Jul 18 11:36:38 userdel[21566]: removed shadow group 'rooter' owned by 'rooter' <86>Jul 18 11:36:38 groupadd[21580]: group added to /etc/group: name=rooter, GID=597 <86>Jul 18 11:36:38 groupadd[21580]: group added to /etc/gshadow: name=rooter <86>Jul 18 11:36:38 groupadd[21580]: new group: name=rooter, GID=597 <86>Jul 18 11:36:38 useradd[21590]: new user: name=rooter, UID=597, GID=597, home=/root, shell=/bin/bash <86>Jul 18 11:36:38 userdel[21608]: delete user 'builder' <86>Jul 18 11:36:38 userdel[21608]: removed group 'builder' owned by 'builder' <86>Jul 18 11:36:38 userdel[21608]: removed shadow group 'builder' owned by 'builder' <86>Jul 18 11:36:38 groupadd[21621]: group added to /etc/group: name=builder, GID=598 <86>Jul 18 11:36:38 groupadd[21621]: group added to /etc/gshadow: name=builder <86>Jul 18 11:36:38 groupadd[21621]: new group: name=builder, GID=598 <86>Jul 18 11:36:38 useradd[21630]: new user: name=builder, UID=598, GID=598, home=/usr/src, shell=/bin/bash <13>Jul 18 11:36:42 rpmi: libruby-2.5.5-alt3 sisyphus+231428.100.1.1 1559580155 installed <13>Jul 18 11:36:42 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Jul 18 11:36:42 rpmi: libtasn1-4.13-alt2 1521133850 installed <13>Jul 18 11:36:42 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Jul 18 11:36:42 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Jul 18 11:36:42 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jul 18 11:36:42 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jul 18 11:36:42 rpmi: ca-certificates-2019.07.11-alt1 sisyphus+234280.200.1.1 1562839906 installed <13>Jul 18 11:36:42 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Jul 18 11:36:42 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Jul 18 11:36:43 rpmi: libcrypto1.1-1.1.1b-alt2 sisyphus+227249.100.2.1 1555667822 installed <13>Jul 18 11:36:43 rpmi: libssl1.1-1.1.1b-alt2 sisyphus+227249.100.2.1 1555667822 installed <13>Jul 18 11:36:43 rpmi: ruby-rubygems-update-3.0.3-alt1 sisyphus+226411.5400.6.1 1554381326 installed <13>Jul 18 11:36:43 rpmi: gem-did-you-mean-1.3.0-alt1 sisyphus+219587.100.1.1 1547808061 installed <13>Jul 18 11:36:43 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Jul 18 11:36:43 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Jul 18 11:36:43 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Jul 18 11:36:43 rpmi: rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Jul 18 11:36:43 rpmi: ruby-rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Jul 18 11:36:43 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Jul 18 11:36:43 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Jul 18 11:36:43 rpmi: gem-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jul 18 11:36:43 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jul 18 11:36:43 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jul 18 11:36:43 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jul 18 11:36:43 rpmi: ruby-stdlibs-2.5.5-alt3 sisyphus+231428.100.1.1 1559580155 installed <13>Jul 18 11:36:43 rpmi: erb-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jul 18 11:36:43 rpmi: irb-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jul 18 11:36:43 rpmi: ruby-bundler-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Jul 18 11:36:43 rpmi: bundle-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Jul 18 11:36:43 rpmi: ruby-2.5.5-alt3 sisyphus+231428.100.1.1 1559580155 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.79061 + 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.79061 + 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.7578 + 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.59834 + 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: 0.995983 / Test error: 0.987049 / Layer sizes: 10 10 1 Training error: 0.993294 / Test error: 0.983093 / Layer sizes: 10 10 1 Training error: 0.991871 / Test error: 0.980843 / Layer sizes: 10 9 4 1 Training error: 0.972460 / Test error: 0.958402 / Layer sizes: 10 1 Training error: 0.962214 / Test error: 0.946493 / Layer sizes: 10 1 Training error: 0.955964 / Test error: 0.932623 / Layer sizes: 10 1 Training error: 0.941704 / Test error: 0.890230 / Layer sizes: 10 1 Training error: 0.933545 / Test error: 0.881449 / Layer sizes: 10 1 Training error: 0.915714 / Test error: 0.861692 / Layer sizes: 10 1 Training error: 0.874338 / Test error: 0.857575 / Layer sizes: 10 1 Training error: 0.844947 / Test error: 0.801096 / Layer sizes: 10 1 Training error: 0.837619 / Test error: 0.774333 / Layer sizes: 10 1 Training error: 0.814102 / Test error: 0.748999 / Layer sizes: 10 1 Training error: 0.807512 / Test error: 0.733408 / Layer sizes: 10 1 Training error: 0.777423 / Test error: 0.726366 / Layer sizes: 10 1 Training error: 0.762670 / Test error: 0.724478 / Layer sizes: 10 1 Training error: 0.736273 / Test error: 0.688226 / Layer sizes: 10 1 Training error: 0.729102 / Test error: 0.677060 / Layer sizes: 10 1 Training error: 0.713283 / Test error: 0.649102 / Layer sizes: 10 1 Training error: 0.678947 / Test error: 0.621292 / Layer sizes: 10 1 Training error: 0.658901 / Test error: 0.609298 / Layer sizes: 10 1 Training error: 0.650186 / Test error: 0.577182 / Layer sizes: 10 1 Training error: 0.639724 / Test error: 0.538379 / Layer sizes: 10 1 Training error: 0.594918 / Test error: 0.535379 / Layer sizes: 10 1 Training error: 0.586376 / Test error: 0.515753 / Layer sizes: 10 1 Training error: 0.584328 / Test error: 0.512167 / Layer sizes: 10 1 Training error: 0.549736 / Test error: 0.504702 / Layer sizes: 10 1 Training error: 0.541212 / Test error: 0.472163 / Layer sizes: 10 1 Training error: 0.534329 / Test error: 0.449978 / Layer sizes: 10 1 Training error: 0.533731 / Test error: 0.441842 / Layer sizes: 10 1 Training error: 0.527697 / Test error: 0.425700 / Layer sizes: 10 1 Training error: 0.522813 / Test error: 0.420986 / Layer sizes: 10 1 Training error: 0.492703 / Test error: 0.413677 / Layer sizes: 10 1 Training error: 0.488128 / Test error: 0.397866 / Layer sizes: 10 1 Training error: 0.483675 / Test error: 0.386837 / Layer sizes: 10 1 Training error: 0.482243 / Test error: 0.386252 / Layer sizes: 10 1 Training error: 0.478891 / Test error: 0.374578 / Layer sizes: 10 1 Training error: 0.478179 / Test error: 0.365489 / Layer sizes: 10 1 Training error: 0.470998 / Test error: 0.345148 / Layer sizes: 10 1 Training error: 0.469930 / Test error: 0.341656 / Layer sizes: 10 1 Training error: 0.466483 / Test error: 0.328424 / Layer sizes: 10 1 Training error: 0.465478 / Test error: 0.321279 / Layer sizes: 10 1 Training error: 0.465205 / Test error: 0.311659 / Layer sizes: 10 1 Training error: 0.464930 / Test error: 0.306575 / Layer sizes: 10 1 Training error: 0.457759 / Test error: 0.296714 / Layer sizes: 10 1 Training error: 0.452698 / Test error: 0.289377 / Layer sizes: 10 1 Training error: 0.448262 / Test error: 0.283267 / Layer sizes: 10 1 Training error: 0.447264 / Test error: 0.283002 / Layer sizes: 10 1 Training error: 0.439588 / Test error: 0.279646 / Layer sizes: 10 1 Training error: 0.438919 / Test error: 0.279379 / Layer sizes: 10 1 Training error: 0.437392 / Test error: 0.272222 / Layer sizes: 10 1 Training error: 0.436479 / Test error: 0.270028 / Layer sizes: 10 1 Training error: 0.433672 / Test error: 0.269998 / Layer sizes: 10 1 Training error: 0.431782 / Test error: 0.266138 / Layer sizes: 10 1 Training error: 0.429611 / Test error: 0.264118 / Layer sizes: 10 1 Training error: 0.427504 / Test error: 0.261283 / Layer sizes: 10 1 Training error: 0.427420 / Test error: 0.259788 / Layer sizes: 10 1 Training error: 0.425398 / Test error: 0.256979 / Layer sizes: 10 1 Training error: 0.422346 / Test error: 0.249303 / Layer sizes: 10 1 Training error: 0.421273 / Test error: 0.248437 / Layer sizes: 10 1 Training error: 0.419239 / Test error: 0.246170 / Layer sizes: 10 1 Training error: 0.415152 / Test error: 0.241684 / Layer sizes: 10 1 Training error: 0.413708 / Test error: 0.237250 / Layer sizes: 10 1 Training error: 0.413642 / Test error: 0.237006 / Layer sizes: 10 1 Training error: 0.412347 / Test error: 0.233597 / Layer sizes: 10 1 Training error: 0.409191 / Test error: 0.232058 / Layer sizes: 10 1 Training error: 0.409128 / Test error: 0.230076 / Layer sizes: 10 1 Training error: 0.405435 / Test error: 0.225468 / Layer sizes: 10 1 Training error: 0.402678 / Test error: 0.219496 / Layer sizes: 10 1 Training error: 0.400622 / Test error: 0.215451 / Layer sizes: 10 1 Training error: 0.396023 / Test error: 0.212766 / Layer sizes: 10 1 Training error: 0.395256 / Test error: 0.212228 / Layer sizes: 10 1 Training error: 0.392487 / Test error: 0.206920 / Layer sizes: 10 1 Training error: 0.390285 / Test error: 0.205195 / Layer sizes: 10 1 Training error: 0.390234 / Test error: 0.205137 / Layer sizes: 10 1 Training error: 0.389998 / Test error: 0.204183 / Layer sizes: 10 1 Training error: 0.389185 / Test error: 0.202731 / Layer sizes: 10 1 Training error: 0.386874 / Test error: 0.201944 / Layer sizes: 10 1 Training error: 0.385953 / Test error: 0.199342 / Layer sizes: 10 1 Training error: 0.385694 / Test error: 0.196393 / Layer sizes: 10 1 Training error: 0.384629 / Test error: 0.195399 / Layer sizes: 10 1 Training error: 0.382236 / Test error: 0.195233 / Layer sizes: 10 1 Training error: 0.380750 / Test error: 0.192326 / Layer sizes: 10 1 Training error: 0.379864 / Test error: 0.191279 / Layer sizes: 10 1 Training error: 0.377135 / Test error: 0.191144 / Layer sizes: 10 1 Training error: 0.376804 / Test error: 0.188129 / Layer sizes: 10 1 Training error: 0.374952 / Test error: 0.184420 / Layer sizes: 10 1 Training error: 0.373247 / Test error: 0.183952 / Layer sizes: 10 1 Training error: 0.372481 / Test error: 0.181984 / Layer sizes: 10 1 Training error: 0.371505 / Test error: 0.179327 / Layer sizes: 10 1 Training error: 0.370943 / Test error: 0.178171 / Layer sizes: 10 1 Training error: 0.368641 / Test error: 0.177880 / Layer sizes: 10 1 Training error: 0.367480 / Test error: 0.174477 / Layer sizes: 10 1 Training error: 0.360746 / Test error: 0.169962 / Layer sizes: 10 1 Training error: 0.359726 / Test error: 0.169476 / Layer sizes: 10 1 Training error: 0.359638 / Test error: 0.167310 / Layer sizes: 10 1 Training error: 0.358106 / Test error: 0.164006 / Layer sizes: 10 1 Training error: 0.300413 / Test error: 0.163057 / Layer sizes: 10 9 4 1 Training error: 0.283752 / Test error: 0.152877 / Layer sizes: 10 9 4 1 Training error: 0.278309 / Test error: 0.150281 / Layer sizes: 10 9 4 1 Training error: 0.274803 / Test error: 0.147241 / Layer sizes: 10 9 4 1 Training error: 0.266786 / Test error: 0.145827 / Layer sizes: 10 9 4 1 Training error: 0.264826 / Test error: 0.142545 / Layer sizes: 10 9 4 1 Training error: 0.259313 / Test error: 0.136164 / Layer sizes: 10 9 4 1 Training error: 0.256368 / Test error: 0.130321 / Layer sizes: 10 9 4 1 Training error: 0.254367 / Test error: 0.126532 / Layer sizes: 10 9 4 1 Training error: 0.241755 / Test error: 0.121244 / Layer sizes: 10 9 4 1 Training error: 0.241341 / Test error: 0.119155 / Layer sizes: 10 9 4 1 Training error: 0.235848 / Test error: 0.116703 / Layer sizes: 10 9 4 1 Training error: 0.229984 / Test error: 0.116609 / Layer sizes: 10 9 4 1 Training error: 0.229416 / Test error: 0.114293 / Layer sizes: 10 9 4 1 Training error: 0.227960 / Test error: 0.111556 / Layer sizes: 10 9 4 1 Training error: 0.190836 / Test error: 0.111410 / Layer sizes: 10 10 10 1 Training error: 0.190363 / Test error: 0.106592 / Layer sizes: 10 10 10 1 Training error: 0.189203 / Test error: 0.104061 / Layer sizes: 10 10 10 1 Training error: 0.187227 / Test error: 0.099050 / Layer sizes: 10 10 10 1 Training error: 0.183805 / Test error: 0.098643 / Layer sizes: 10 10 10 1 Training error: 0.183547 / Test error: 0.097168 / Layer sizes: 10 10 10 1 Training error: 0.197219 / Test error: 0.095590 / Layer sizes: 10 7 1 Training error: 0.196547 / Test error: 0.094303 / Layer sizes: 10 7 1 Training error: 0.195719 / Test error: 0.092846 / Layer sizes: 10 7 1 Training error: 0.195143 / Test error: 0.092011 / Layer sizes: 10 7 1 Training error: 0.194246 / Test error: 0.091688 / Layer sizes: 10 7 1 Training error: 0.190454 / Test error: 0.090735 / Layer sizes: 10 7 1 Training error: 0.189668 / Test error: 0.087081 / Layer sizes: 10 7 1 Training error: 0.187658 / Test error: 0.085486 / Layer sizes: 10 7 1 Training error: 0.187301 / Test error: 0.084908 / Layer sizes: 10 7 1 Training error: 0.183118 / Test error: 0.084881 / Layer sizes: 10 7 1 Training error: 0.176536 / Test error: 0.076825 / Layer sizes: 10 7 1 Training error: 0.175631 / Test error: 0.076789 / Layer sizes: 10 7 1 Training error: 0.175595 / Test error: 0.072153 / Layer sizes: 10 7 1 Training error: 0.173192 / Test error: 0.068507 / Layer sizes: 10 7 1 Training error: 0.170677 / Test error: 0.066197 / Layer sizes: 10 7 1 Training error: 0.161983 / Test error: 0.063176 / Layer sizes: 10 7 1 Training error: 0.064355 / Test error: 0.061877 / Layer sizes: 10 9 4 1 Training error: 0.063702 / Test error: 0.060082 / Layer sizes: 10 9 4 1 Training error: 0.061232 / Test error: 0.059489 / Layer sizes: 10 9 4 1 Training error: 0.059776 / Test error: 0.058914 / Layer sizes: 10 9 4 1 Training error: 0.059650 / Test error: 0.057075 / Layer sizes: 10 9 4 1 Training error: 0.050518 / Test error: 0.055688 / Layer sizes: 10 9 4 1 Training error: 0.050389 / Test error: 0.053551 / Layer sizes: 10 9 4 1 Training error: 0.050267 / Test error: 0.050960 / Layer sizes: 10 9 4 1 Training error: 0.028247 / Test error: 0.050379 / Layer sizes: 10 7 1 Training error: 0.027195 / Test error: 0.049212 / Layer sizes: 10 7 1 Training error: 0.026850 / Test error: 0.047937 / Layer sizes: 10 7 1 Training error: 0.025834 / Test error: 0.046620 / Layer sizes: 10 7 1 Training error: 0.047010 / Test error: 0.042328 / Layer sizes: 10 9 4 1 Training error: 0.046903 / Test error: 0.042179 / Layer sizes: 10 9 4 1 Training error: 0.046465 / Test error: 0.033497 / 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 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 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. 86.99 % correct. 13.01 % wrong. Limit: 17.62 %. 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.46195 + 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.AJu7Oi 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.HvIa0b 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.ieEzwv 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.Y98zEs find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.qF3fnU 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 82.67user 1.01system 1:43.55elapsed 80%CPU (0avgtext+0avgdata 37448maxresident)k 0inputs+0outputs (0major+163791minor)pagefaults 0swaps 90.62user 6.15system 1:57.04elapsed 82%CPU (0avgtext+0avgdata 114540maxresident)k 0inputs+0outputs (0major+478343minor)pagefaults 0swaps