<86>May 9 12:08:54 userdel[1060088]: delete user 'rooter' <86>May 9 12:08:54 userdel[1060088]: removed group 'rooter' owned by 'rooter' <86>May 9 12:08:54 userdel[1060088]: removed shadow group 'rooter' owned by 'rooter' <86>May 9 12:08:54 groupadd[1060110]: group added to /etc/group: name=rooter, GID=696 <86>May 9 12:08:54 groupadd[1060110]: group added to /etc/gshadow: name=rooter <86>May 9 12:08:54 groupadd[1060110]: new group: name=rooter, GID=696 <86>May 9 12:08:54 useradd[1060125]: new user: name=rooter, UID=696, GID=696, home=/root, shell=/bin/bash <86>May 9 12:08:54 userdel[1060140]: delete user 'builder' <86>May 9 12:08:54 userdel[1060140]: removed group 'builder' owned by 'builder' <86>May 9 12:08:54 userdel[1060140]: removed shadow group 'builder' owned by 'builder' <86>May 9 12:08:54 groupadd[1060151]: group added to /etc/group: name=builder, GID=697 <86>May 9 12:08:54 groupadd[1060151]: group added to /etc/gshadow: name=builder <86>May 9 12:08:54 groupadd[1060151]: new group: name=builder, GID=697 <86>May 9 12:08:54 useradd[1060162]: new user: name=builder, UID=697, GID=697, home=/usr/src, shell=/bin/bash <13>May 9 12:08:56 rpmi: libruby-2.5.9-alt1 p9+261867.500.5.1 1606313968 installed <13>May 9 12:08:56 rpmi: libp11-kit-0.23.15-alt2 p9+254920.2400.19.1 1601385903 installed <13>May 9 12:08:56 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed <13>May 9 12:08:56 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>May 9 12:08:56 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>May 9 12:08:56 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 9 12:08:56 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 9 12:08:56 rpmi: ca-certificates-2020.06.29-alt1 p9+258899.100.3.1 1601998604 installed <13>May 9 12:08:56 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed <13>May 9 12:08:56 rpmi: p11-kit-trust-0.23.15-alt2 p9+254920.2400.19.1 1601385903 installed <13>May 9 12:08:56 rpmi: libcrypto1.1-1.1.1k-alt1 p9+268376.100.3.1 1616721011 installed <13>May 9 12:08:56 rpmi: libssl1.1-1.1.1k-alt1 p9+268376.100.3.1 1616721011 installed <13>May 9 12:08:56 rpmi: openssl-1.1.1k-alt1 p9+268376.100.3.1 1616721011 installed <13>May 9 12:08:57 rpmi: ruby-rubygems-update-3.0.4-alt1 p9+247371.35300.135.1 1590436206 installed <13>May 9 12:08:57 rpmi: gem-did-you-mean-1.3.0-alt2.1 p9+247371.40400.161.1 1591376055 installed <13>May 9 12:08:57 rpmi: gem-minitest-5.14.0-alt1.1 p9+247371.67710.170.1 1592235999 installed <13>May 9 12:08:57 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>May 9 12:08:57 rpmi: gem-rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>May 9 12:08:57 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>May 9 12:08:57 rpmi: gem-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>May 9 12:08:57 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 9 12:08:57 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 9 12:08:57 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 9 12:08:57 rpmi: rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>May 9 12:08:57 rpmi: erb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>May 9 12:08:57 rpmi: irb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>May 9 12:08:58 rpmi: gem-bundler-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>May 9 12:08:58 rpmi: gem-test-unit-3.3.5-alt0.1 p9+247371.60440.162.1 1591424158 installed <13>May 9 12:08:58 rpmi: gem-power-assert-1.1.7-alt1 p9+247371.60200.162.1 1591424056 installed <13>May 9 12:08:59 rpmi: ruby-stdlibs-2.5.9-alt1 p9+261867.500.5.1 1606313968 installed <13>May 9 12:08:59 rpmi: bundle-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>May 9 12:08:59 rpmi: ruby-2.5.9-alt1 p9+261867.500.5.1 1606313968 installed Building target platforms: i586 Building for target i586 Wrote: /usr/src/in/nosrpm/auto-nng-1.7-alt2_3.1.nosrc.rpm (w1.gzdio) 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.86352 + 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/tar -xf - + /bin/gzip -dc /usr/src/RPM/SOURCES/auto-nng.v1.7.tar.gz + 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.86352 + 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.81772 + 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 + PATH=/usr/libexec/rpm-build:/usr/src/bin:/bin:/usr/bin:/usr/X11R6/bin:/usr/games + 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,gnuconfig) 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.69069 + 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: 0.969359 / Test error: 0.957119 / Layer sizes: 10 1 Training error: 0.934192 / Test error: 0.947533 / Layer sizes: 10 1 Training error: 0.924607 / Test error: 0.935596 / Layer sizes: 10 1 Training error: 0.885806 / Test error: 0.905556 / Layer sizes: 10 1 Training error: 0.880439 / Test error: 0.898033 / Layer sizes: 10 1 Training error: 0.856263 / Test error: 0.866695 / Layer sizes: 10 1 Training error: 0.839930 / Test error: 0.863037 / Layer sizes: 10 1 Training error: 0.826726 / Test error: 0.851643 / Layer sizes: 10 1 Training error: 0.821188 / Test error: 0.829497 / Layer sizes: 10 1 Training error: 0.788514 / Test error: 0.800099 / Layer sizes: 10 1 Training error: 0.786451 / Test error: 0.793790 / Layer sizes: 10 1 Training error: 0.767057 / Test error: 0.774273 / Layer sizes: 10 1 Training error: 0.746170 / Test error: 0.749991 / Layer sizes: 10 1 Training error: 0.724147 / Test error: 0.723414 / Layer sizes: 10 1 Training error: 0.714348 / Test error: 0.711505 / Layer sizes: 10 1 Training error: 0.695404 / Test error: 0.702042 / Layer sizes: 10 1 Training error: 0.689603 / Test error: 0.700939 / Layer sizes: 10 1 Training error: 0.678203 / Test error: 0.692344 / Layer sizes: 10 1 Training error: 0.675640 / Test error: 0.690786 / Layer sizes: 10 1 Training error: 0.656130 / Test error: 0.688874 / Layer sizes: 10 1 Training error: 0.633878 / Test error: 0.677679 / Layer sizes: 10 1 Training error: 0.619699 / Test error: 0.660582 / Layer sizes: 10 1 Training error: 0.606800 / Test error: 0.649702 / Layer sizes: 10 1 Training error: 0.603016 / Test error: 0.643532 / Layer sizes: 10 1 Training error: 0.601267 / Test error: 0.624747 / Layer sizes: 10 1 Training error: 0.583569 / Test error: 0.616025 / Layer sizes: 10 1 Training error: 0.580905 / Test error: 0.613612 / Layer sizes: 10 1 Training error: 0.565326 / Test error: 0.603068 / Layer sizes: 10 1 Training error: 0.551244 / Test error: 0.596949 / Layer sizes: 10 1 Training error: 0.547825 / Test error: 0.593362 / Layer sizes: 10 1 Training error: 0.542335 / Test error: 0.591177 / Layer sizes: 10 1 Training error: 0.530769 / Test error: 0.587197 / Layer sizes: 10 1 Training error: 0.530575 / Test error: 0.581746 / Layer sizes: 10 1 Training error: 0.527262 / Test error: 0.564955 / Layer sizes: 10 1 Training error: 0.524572 / Test error: 0.555537 / Layer sizes: 10 1 Training error: 0.517914 / Test error: 0.540964 / Layer sizes: 10 1 Training error: 0.511353 / Test error: 0.539211 / Layer sizes: 10 1 Training error: 0.503380 / Test error: 0.533146 / Layer sizes: 10 1 Training error: 0.503291 / Test error: 0.527652 / Layer sizes: 10 1 Training error: 0.498878 / Test error: 0.517049 / Layer sizes: 10 1 Training error: 0.491610 / Test error: 0.503785 / Layer sizes: 10 1 Training error: 0.490010 / Test error: 0.496065 / Layer sizes: 10 1 Training error: 0.488975 / Test error: 0.495277 / Layer sizes: 10 1 Training error: 0.488137 / Test error: 0.479213 / Layer sizes: 10 1 Training error: 0.482169 / Test error: 0.470802 / Layer sizes: 10 1 Training error: 0.459757 / Test error: 0.468239 / Layer sizes: 10 1 Training error: 0.459050 / Test error: 0.462360 / Layer sizes: 10 1 Training error: 0.455975 / Test error: 0.460502 / Layer sizes: 10 1 Training error: 0.455444 / Test error: 0.455192 / Layer sizes: 10 1 Training error: 0.453749 / Test error: 0.447188 / Layer sizes: 10 1 Training error: 0.453693 / Test error: 0.433546 / Layer sizes: 10 1 Training error: 0.436484 / Test error: 0.430605 / Layer sizes: 10 1 Training error: 0.435194 / Test error: 0.420646 / Layer sizes: 10 1 Training error: 0.431963 / Test error: 0.414842 / Layer sizes: 10 3 3 1 Training error: 0.421884 / Test error: 0.412779 / Layer sizes: 10 3 3 1 Training error: 0.422227 / Test error: 0.410969 / Layer sizes: 10 1 Training error: 0.401166 / Test error: 0.404533 / Layer sizes: 10 3 3 1 Training error: 0.390875 / Test error: 0.398774 / Layer sizes: 10 3 3 1 Training error: 0.390717 / Test error: 0.380717 / Layer sizes: 10 3 3 1 Training error: 0.379834 / Test error: 0.380098 / Layer sizes: 10 3 3 1 Training error: 0.374963 / Test error: 0.379040 / Layer sizes: 10 3 3 1 Training error: 0.370624 / Test error: 0.372433 / Layer sizes: 10 3 3 1 Training error: 0.360043 / Test error: 0.368428 / Layer sizes: 10 3 3 1 Training error: 0.359040 / Test error: 0.361119 / Layer sizes: 10 3 3 1 Training error: 0.357168 / Test error: 0.350923 / Layer sizes: 10 3 3 1 Training error: 0.351944 / Test error: 0.348234 / Layer sizes: 10 3 3 1 Training error: 0.349157 / Test error: 0.339771 / Layer sizes: 10 3 3 1 Training error: 0.348634 / Test error: 0.337178 / Layer sizes: 10 3 3 1 Training error: 0.345562 / Test error: 0.327671 / Layer sizes: 10 3 3 1 Training error: 0.338401 / Test error: 0.327560 / Layer sizes: 10 3 3 1 Training error: 0.337564 / Test error: 0.322462 / Layer sizes: 10 3 3 1 Training error: 0.291078 / Test error: 0.320807 / Layer sizes: 10 10 10 1 Training error: 0.332719 / Test error: 0.318274 / Layer sizes: 10 3 3 1 Training error: 0.289817 / Test error: 0.305176 / Layer sizes: 10 10 10 1 Training error: 0.314622 / Test error: 0.302053 / Layer sizes: 10 9 4 1 Training error: 0.260267 / Test error: 0.296066 / Layer sizes: 10 10 10 1 Training error: 0.258709 / Test error: 0.277742 / Layer sizes: 10 10 10 1 Training error: 0.250976 / Test error: 0.275684 / Layer sizes: 10 10 10 1 Training error: 0.254750 / Test error: 0.259369 / Layer sizes: 10 9 4 1 Training error: 0.254683 / Test error: 0.244598 / Layer sizes: 10 9 4 1 Training error: 0.252096 / Test error: 0.236728 / Layer sizes: 10 9 4 1 Training error: 0.235946 / Test error: 0.233778 / Layer sizes: 10 9 4 1 Training error: 0.228288 / Test error: 0.221220 / Layer sizes: 10 9 4 1 Training error: 0.226803 / Test error: 0.219274 / Layer sizes: 10 9 4 1 Training error: 0.164677 / Test error: 0.213965 / Layer sizes: 10 10 10 1 Training error: 0.160524 / Test error: 0.212532 / Layer sizes: 10 10 10 1 Training error: 0.159026 / Test error: 0.210829 / Layer sizes: 10 10 10 1 Training error: 0.158938 / Test error: 0.207519 / Layer sizes: 10 10 10 1 Training error: 0.158624 / Test error: 0.206373 / Layer sizes: 10 10 10 1 Training error: 0.169386 / Test error: 0.202241 / Layer sizes: 10 7 1 Training error: 0.168988 / Test error: 0.200415 / Layer sizes: 10 7 1 Training error: 0.166110 / Test error: 0.195093 / Layer sizes: 10 7 1 Training error: 0.158929 / Test error: 0.186669 / Layer sizes: 10 7 1 Training error: 0.158692 / Test error: 0.185887 / Layer sizes: 10 7 1 Training error: 0.064849 / Test error: 0.182268 / Layer sizes: 10 9 4 1 Training error: 0.098853 / Test error: 0.180695 / Layer sizes: 10 7 1 Training error: 0.056328 / Test error: 0.173794 / Layer sizes: 10 9 4 1 Training error: 0.098267 / Test error: 0.160555 / Layer sizes: 10 7 1 Training error: 0.036091 / Test error: 0.152110 / Layer sizes: 10 9 4 1 Training error: 0.035502 / Test error: 0.138296 / Layer sizes: 10 9 4 1 Training error: 0.035180 / Test error: 0.134205 / Layer sizes: 10 9 4 1 Training error: 0.034977 / Test error: 0.128457 / Layer sizes: 10 9 4 1 Training error: 0.009679 / Test error: 0.108594 / Layer sizes: 10 9 4 1 Training error: 0.000107 / Test error: 0.082472 / Layer sizes: 10 9 4 1 Training error: 0.000102 / Test error: 0.082146 / Layer sizes: 10 9 4 1 Training error: 0.000099 / Test error: 0.081271 / Layer sizes: 10 9 4 1 Training error: 0.000099 / Test error: 0.080726 / Layer sizes: 10 9 4 1 Training error: 0.000097 / Test error: 0.080424 / Layer sizes: 10 9 4 1 Training error: 0.000096 / Test error: 0.041329 / Layer sizes: 10 9 4 1 Training error: 0.000095 / Test error: 0.041316 / Layer sizes: 10 9 4 1 Training error: 0.000085 / Test error: 0.041303 / Layer sizes: 10 3 3 1 Training error: 0.000069 / Test error: 0.041294 / Layer sizes: 10 10 10 1 Training error: 0.000024 / Test error: 0.033930 / Layer sizes: 10 10 10 1 Training error: 0.000007 / Test error: 0.000039 / 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 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 9 4 1 Training error: 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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 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 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 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 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. 87.57 % correct. 12.43 % wrong. Limit: 18.09 %. 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.83171 + 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.wQNYti 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.Lq6y5M 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), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.TsPLJy 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.ORdGND find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.tTQbd3 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 (w2.lzdio) Wrote: /usr/src/RPM/RPMS/i586/auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm (w2.lzdio) 89.70user 0.49system 1:39.28elapsed 90%CPU (0avgtext+0avgdata 37476maxresident)k 0inputs+0outputs (0major+169307minor)pagefaults 0swaps 96.34user 3.18system 1:49.66elapsed 90%CPU (0avgtext+0avgdata 115008maxresident)k 0inputs+0outputs (0major+486215minor)pagefaults 0swaps