<86>May 17 13:14:16 userdel[1783950]: delete user 'rooter' <86>May 17 13:14:16 userdel[1783950]: removed group 'rooter' owned by 'rooter' <86>May 17 13:14:16 userdel[1783950]: removed shadow group 'rooter' owned by 'rooter' <86>May 17 13:14:16 groupadd[1783958]: group added to /etc/group: name=rooter, GID=543 <86>May 17 13:14:16 groupadd[1783958]: group added to /etc/gshadow: name=rooter <86>May 17 13:14:16 groupadd[1783958]: new group: name=rooter, GID=543 <86>May 17 13:14:16 useradd[1783965]: new user: name=rooter, UID=543, GID=543, home=/root, shell=/bin/bash <86>May 17 13:14:16 userdel[1783978]: delete user 'builder' <86>May 17 13:14:16 userdel[1783978]: removed group 'builder' owned by 'builder' <86>May 17 13:14:16 userdel[1783978]: removed shadow group 'builder' owned by 'builder' <86>May 17 13:14:16 groupadd[1783984]: group added to /etc/group: name=builder, GID=544 <86>May 17 13:14:16 groupadd[1783984]: group added to /etc/gshadow: name=builder <86>May 17 13:14:16 groupadd[1783984]: new group: name=builder, GID=544 <86>May 17 13:14:16 useradd[1783990]: new user: name=builder, UID=544, GID=544, home=/usr/src, shell=/bin/bash <13>May 17 13:14:21 rpmi: libruby-2.5.5-alt3 p9+231429.100.1.1 1559580214 installed <13>May 17 13:14:21 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 17 13:14:21 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed <13>May 17 13:14:21 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>May 17 13:14:21 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>May 17 13:14:21 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 17 13:14:21 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 17 13:14:21 rpmi: ca-certificates-2020.01.23-alt1 p9+245253.100.3.1 1580749631 installed <13>May 17 13:14:21 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed <13>May 17 13:14:21 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 17 13:14:21 rpmi: libcrypto1.1-1.1.1g-alt1 p9+250580.100.5.1 1588175266 installed <13>May 17 13:14:21 rpmi: libssl1.1-1.1.1g-alt1 p9+250580.100.5.1 1588175266 installed <13>May 17 13:14:21 rpmi: ruby-rubygems-update-3.0.3-alt1 sisyphus+226411.5400.6.1 1554381326 installed <13>May 17 13:14:21 rpmi: gem-did-you-mean-1.3.0-alt1 sisyphus+219587.100.1.1 1547808061 installed <13>May 17 13:14:21 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>May 17 13:14:21 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>May 17 13:14:21 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>May 17 13:14:21 rpmi: rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>May 17 13:14:21 rpmi: ruby-rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>May 17 13:14:21 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>May 17 13:14:21 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>May 17 13:14:21 rpmi: gem-2.5.5-alt3 p9+231429.100.1.1 1559580197 installed <13>May 17 13:14:21 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 17 13:14:21 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 17 13:14:21 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 17 13:14:22 rpmi: ruby-stdlibs-2.5.5-alt3 p9+231429.100.1.1 1559580214 installed <13>May 17 13:14:22 rpmi: erb-2.5.5-alt3 p9+231429.100.1.1 1559580197 installed <13>May 17 13:14:22 rpmi: irb-2.5.5-alt3 p9+231429.100.1.1 1559580197 installed <13>May 17 13:14:22 rpmi: ruby-bundler-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>May 17 13:14:22 rpmi: bundle-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>May 17 13:14:22 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.28825 + 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.77125 + 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.60840 + 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.76821 + 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: 0.976470 / Test error: 0.952185 / Layer sizes: 10 1 Training error: 0.961857 / Test error: 0.908272 / Layer sizes: 10 1 Training error: 0.957408 / Test error: 0.903241 / Layer sizes: 10 1 Training error: 0.945061 / Test error: 0.877606 / Layer sizes: 10 1 Training error: 0.920323 / Test error: 0.849072 / Layer sizes: 10 1 Training error: 0.903272 / Test error: 0.830775 / Layer sizes: 10 1 Training error: 0.887561 / Test error: 0.823382 / Layer sizes: 10 1 Training error: 0.876751 / Test error: 0.799142 / Layer sizes: 10 1 Training error: 0.875518 / Test error: 0.791712 / Layer sizes: 10 1 Training error: 0.866076 / Test error: 0.765770 / Layer sizes: 10 1 Training error: 0.818633 / Test error: 0.722341 / Layer sizes: 10 1 Training error: 0.807091 / Test error: 0.699393 / Layer sizes: 10 1 Training error: 0.801081 / Test error: 0.677876 / Layer sizes: 10 1 Training error: 0.772568 / Test error: 0.653824 / Layer sizes: 10 1 Training error: 0.758528 / Test error: 0.650765 / Layer sizes: 10 1 Training error: 0.746328 / Test error: 0.626945 / Layer sizes: 10 1 Training error: 0.742102 / Test error: 0.622944 / Layer sizes: 10 1 Training error: 0.727210 / Test error: 0.610568 / Layer sizes: 10 1 Training error: 0.701520 / Test error: 0.609928 / Layer sizes: 10 1 Training error: 0.690187 / Test error: 0.609529 / Layer sizes: 10 1 Training error: 0.648131 / Test error: 0.606942 / Layer sizes: 10 1 Training error: 0.636676 / Test error: 0.592953 / Layer sizes: 10 1 Training error: 0.628407 / Test error: 0.585311 / Layer sizes: 10 1 Training error: 0.586402 / Test error: 0.568828 / Layer sizes: 10 1 Training error: 0.577710 / Test error: 0.561177 / Layer sizes: 10 1 Training error: 0.575890 / Test error: 0.556635 / Layer sizes: 10 1 Training error: 0.565053 / Test error: 0.556444 / Layer sizes: 10 1 Training error: 0.554026 / Test error: 0.554344 / Layer sizes: 10 1 Training error: 0.549390 / Test error: 0.550905 / Layer sizes: 10 1 Training error: 0.543571 / Test error: 0.546725 / Layer sizes: 10 1 Training error: 0.542695 / Test error: 0.539306 / Layer sizes: 10 1 Training error: 0.533573 / Test error: 0.534566 / Layer sizes: 10 1 Training error: 0.526200 / Test error: 0.528438 / Layer sizes: 10 1 Training error: 0.524510 / Test error: 0.524008 / Layer sizes: 10 1 Training error: 0.519837 / Test error: 0.523264 / Layer sizes: 10 1 Training error: 0.506333 / Test error: 0.513605 / Layer sizes: 10 1 Training error: 0.504189 / Test error: 0.507199 / Layer sizes: 10 1 Training error: 0.498100 / Test error: 0.506310 / Layer sizes: 10 1 Training error: 0.497159 / Test error: 0.502175 / Layer sizes: 10 1 Training error: 0.464778 / Test error: 0.501906 / Layer sizes: 10 1 Training error: 0.461491 / Test error: 0.498981 / Layer sizes: 10 1 Training error: 0.461119 / Test error: 0.498517 / Layer sizes: 10 1 Training error: 0.541467 / Test error: 0.494834 / Layer sizes: 10 3 1 Training error: 0.531422 / Test error: 0.482659 / Layer sizes: 10 3 1 Training error: 0.530071 / Test error: 0.475255 / Layer sizes: 10 3 1 Training error: 0.519129 / Test error: 0.461761 / Layer sizes: 10 3 1 Training error: 0.518867 / Test error: 0.458396 / Layer sizes: 10 3 1 Training error: 0.517043 / Test error: 0.450130 / Layer sizes: 10 3 1 Training error: 0.512759 / Test error: 0.450074 / Layer sizes: 10 3 1 Training error: 0.501795 / Test error: 0.446620 / Layer sizes: 10 3 1 Training error: 0.486154 / Test error: 0.444777 / Layer sizes: 10 3 1 Training error: 0.477774 / Test error: 0.443128 / Layer sizes: 10 3 1 Training error: 0.450192 / Test error: 0.442986 / Layer sizes: 10 7 1 Training error: 0.433370 / Test error: 0.441030 / Layer sizes: 10 3 1 Training error: 0.428568 / Test error: 0.432476 / Layer sizes: 10 3 1 Training error: 0.419861 / Test error: 0.427807 / Layer sizes: 10 3 1 Training error: 0.446503 / Test error: 0.425263 / Layer sizes: 10 10 10 1 Training error: 0.435301 / Test error: 0.423227 / Layer sizes: 10 10 10 1 Training error: 0.427362 / Test error: 0.421839 / Layer sizes: 10 10 10 1 Training error: 0.427125 / Test error: 0.421411 / Layer sizes: 10 10 10 1 Training error: 0.425237 / Test error: 0.419313 / Layer sizes: 10 10 10 1 Training error: 0.382097 / Test error: 0.409097 / Layer sizes: 10 10 10 1 Training error: 0.352364 / Test error: 0.407967 / Layer sizes: 10 7 1 Training error: 0.261304 / Test error: 0.406987 / Layer sizes: 10 7 1 Training error: 0.329030 / Test error: 0.401816 / Layer sizes: 10 10 10 1 Training error: 0.324046 / Test error: 0.399130 / Layer sizes: 10 10 10 1 Training error: 0.322215 / Test error: 0.393539 / Layer sizes: 10 10 10 1 Training error: 0.311121 / Test error: 0.389389 / Layer sizes: 10 10 10 1 Training error: 0.296402 / Test error: 0.382701 / Layer sizes: 10 10 10 1 Training error: 0.293187 / Test error: 0.373093 / Layer sizes: 10 10 10 1 Training error: 0.290008 / Test error: 0.371217 / Layer sizes: 10 10 10 1 Training error: 0.284678 / Test error: 0.366746 / Layer sizes: 10 10 10 1 Training error: 0.189669 / Test error: 0.366537 / Layer sizes: 10 7 1 Training error: 0.225665 / Test error: 0.363383 / Layer sizes: 10 10 10 1 Training error: 0.223476 / Test error: 0.361277 / Layer sizes: 10 10 10 1 Training error: 0.207020 / Test error: 0.356209 / Layer sizes: 10 10 1 Training error: 0.174662 / Test error: 0.351506 / Layer sizes: 10 10 10 1 Training error: 0.173326 / Test error: 0.341229 / Layer sizes: 10 10 10 1 Training error: 0.160362 / Test error: 0.341179 / Layer sizes: 10 10 10 1 Training error: 0.158809 / Test error: 0.336047 / Layer sizes: 10 10 10 1 Training error: 0.153109 / Test error: 0.334310 / Layer sizes: 10 10 10 1 Training error: 0.136047 / Test error: 0.322143 / Layer sizes: 10 10 10 1 Training error: 0.136000 / Test error: 0.307633 / Layer sizes: 10 10 10 1 Training error: 0.132989 / Test error: 0.294032 / Layer sizes: 10 10 10 1 Training error: 0.060440 / Test error: 0.287940 / Layer sizes: 10 7 1 Training error: 0.059875 / Test error: 0.279845 / Layer sizes: 10 7 1 Training error: 0.058867 / Test error: 0.268080 / Layer sizes: 10 7 1 Training error: 0.058178 / Test error: 0.266467 / Layer sizes: 10 7 1 Training error: 0.056112 / Test error: 0.260329 / Layer sizes: 10 7 1 Training error: 0.050131 / Test error: 0.258473 / Layer sizes: 10 7 1 Training error: 0.048766 / Test error: 0.249916 / Layer sizes: 10 7 1 Training error: 0.038215 / Test error: 0.248666 / Layer sizes: 10 7 1 Training error: 0.044610 / Test error: 0.240125 / Layer sizes: 10 10 10 1 Training error: 0.043671 / Test error: 0.221452 / Layer sizes: 10 10 10 1 Training error: 0.031777 / Test error: 0.215862 / Layer sizes: 10 7 1 Training error: 0.031725 / Test error: 0.208349 / Layer sizes: 10 7 1 Training error: 0.031633 / Test error: 0.207682 / Layer sizes: 10 7 1 Training error: 0.031444 / Test error: 0.200186 / Layer sizes: 10 7 1 Training error: 0.030990 / Test error: 0.184460 / Layer sizes: 10 7 1 Training error: 0.020630 / Test error: 0.181850 / Layer sizes: 10 7 1 Training error: 0.020601 / Test error: 0.156089 / Layer sizes: 10 7 1 Training error: 0.020220 / Test error: 0.147608 / Layer sizes: 10 7 1 Training error: 0.015627 / Test error: 0.145990 / Layer sizes: 10 7 1 Training error: 0.014911 / Test error: 0.135799 / Layer sizes: 10 7 1 Training error: 0.014766 / Test error: 0.133373 / Layer sizes: 10 7 1 Training error: 0.014759 / Test error: 0.124489 / Layer sizes: 10 7 1 Training error: 0.014752 / Test error: 0.123947 / Layer sizes: 10 7 1 Training error: 0.013572 / Test error: 0.105998 / Layer sizes: 10 7 1 Training error: 0.013403 / Test error: 0.105585 / Layer sizes: 10 7 1 Training error: 0.012954 / Test error: 0.104032 / Layer sizes: 10 7 1 Training error: 0.012593 / Test error: 0.083322 / Layer sizes: 10 7 1 Training error: 0.012194 / Test error: 0.077878 / Layer sizes: 10 7 1 Training error: 0.012152 / Test error: 0.076737 / Layer sizes: 10 7 1 Training error: 0.000352 / Test error: 0.043623 / Layer sizes: 10 9 4 1 Training error: 0.000349 / Test error: 0.041690 / Layer sizes: 10 9 4 1 Training error: 0.000343 / Test error: 0.041485 / Layer sizes: 10 9 4 1 Training error: 0.000338 / Test error: 0.041325 / Layer sizes: 10 9 4 1 Training error: 0.000322 / Test error: 0.041245 / Layer sizes: 10 9 4 1 Training error: 0.000313 / Test error: 0.041238 / Layer sizes: 10 9 4 1 Training error: 0.000311 / Test error: 0.041178 / Layer sizes: 10 9 4 1 Training error: 0.000311 / Test error: 0.041116 / Layer sizes: 10 9 4 1 Training error: 0.000285 / Test error: 0.041053 / Layer sizes: 10 9 4 1 Training error: 0.000166 / Test error: 0.040551 / Layer sizes: 10 9 4 1 Training error: 0.000156 / Test error: 0.039760 / Layer sizes: 10 9 4 1 Training error: 0.000156 / Test error: 0.031980 / Layer sizes: 10 9 4 1 Training error: 0.000021 / Test error: 0.020611 / Layer sizes: 10 9 4 1 Training error: 0.000021 / Test error: 0.000266 / Layer sizes: 10 9 4 1 Training error: 0.000021 / Test error: 0.000041 / Layer sizes: 10 9 4 1 Training error: 0.000021 / Test error: 0.000039 / Layer sizes: 10 9 4 1 Training error: 0.000020 / Test error: 0.000025 / Layer sizes: 10 9 4 1 Training error: 0.000001 / Test error: 0.000003 / Layer sizes: 10 9 4 1 Training error: 0.000001 / Test error: 0.000001 / Layer sizes: 10 9 4 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 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 3 3 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 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. 95.70 % correct. 4.30 % wrong. Limit: 17.77 %. 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.31118 + 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.KHzCCm 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.OVchNy 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.2hzWyL 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.hHCVBt find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.MtBksw 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 77.00user 1.13system 1:43.81elapsed 75%CPU (0avgtext+0avgdata 37468maxresident)k 0inputs+0outputs (0major+163936minor)pagefaults 0swaps 84.82user 6.52system 1:57.84elapsed 77%CPU (0avgtext+0avgdata 115476maxresident)k 0inputs+0outputs (0major+476969minor)pagefaults 0swaps