<86>Dec 4 19:50:07 userdel[2179570]: delete user 'rooter' <86>Dec 4 19:50:07 userdel[2179570]: removed group 'rooter' owned by 'rooter' <86>Dec 4 19:50:07 userdel[2179570]: removed shadow group 'rooter' owned by 'rooter' <86>Dec 4 19:50:07 groupadd[2179590]: group added to /etc/group: name=rooter, GID=627 <86>Dec 4 19:50:07 groupadd[2179590]: group added to /etc/gshadow: name=rooter <86>Dec 4 19:50:07 groupadd[2179590]: new group: name=rooter, GID=627 <86>Dec 4 19:50:07 useradd[2179598]: new user: name=rooter, UID=627, GID=627, home=/root, shell=/bin/bash <86>Dec 4 19:50:07 userdel[2179610]: delete user 'builder' <86>Dec 4 19:50:07 userdel[2179610]: removed group 'builder' owned by 'builder' <86>Dec 4 19:50:07 userdel[2179610]: removed shadow group 'builder' owned by 'builder' <86>Dec 4 19:50:07 groupadd[2179626]: group added to /etc/group: name=builder, GID=628 <86>Dec 4 19:50:07 groupadd[2179626]: group added to /etc/gshadow: name=builder <86>Dec 4 19:50:07 groupadd[2179626]: new group: name=builder, GID=628 <86>Dec 4 19:50:07 useradd[2179640]: new user: name=builder, UID=628, GID=628, home=/usr/src, shell=/bin/bash <13>Dec 4 19:50:10 rpmi: libruby-2.7.2-alt1 sisyphus+261875.40.2.1 1605716658 installed <13>Dec 4 19:50:10 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Dec 4 19:50:10 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Dec 4 19:50:10 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Dec 4 19:50:10 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Dec 4 19:50:10 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Dec 4 19:50:10 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Dec 4 19:50:10 rpmi: ca-certificates-2020.10.22-alt1 sisyphus+260224.300.2.1 1603549301 installed <13>Dec 4 19:50:10 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Dec 4 19:50:10 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Dec 4 19:50:10 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Dec 4 19:50:10 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Dec 4 19:50:10 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Dec 4 19:50:10 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Dec 4 19:50:10 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Dec 4 19:50:10 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Dec 4 19:50:10 rpmi: gem-2:3.1.2-alt1 sisyphus+261875.40.2.1 1605716587 installed <13>Dec 4 19:50:10 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 4 19:50:10 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 4 19:50:10 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 4 19:50:10 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Dec 4 19:50:10 rpmi: erb-0:2.7.2-alt1 sisyphus+261875.40.2.1 1605716587 installed <13>Dec 4 19:50:10 rpmi: irb-2.7.2-alt1 sisyphus+261875.40.2.1 1605716587 installed <13>Dec 4 19:50:10 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Dec 4 19:50:10 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Dec 4 19:50:10 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Dec 4 19:50:12 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Dec 4 19:50:12 rpmi: ruby-2.7.2-alt1 sisyphus+261875.40.2.1 1605716658 installed <13>Dec 4 19:50:13 rpmi: ruby-stdlibs-2.7.2-alt1 sisyphus+261875.40.2.1 1605716658 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.29155 + 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.29155 + 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] 681 | 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] 686 | 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:904:37: warning: 'continuous_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 904 | if (continuous_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:771:11: warning: 'continuous_input_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 771 | double *continuous_input_stats; | ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:140: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 910 | printf(DOUBLE_FORMAT, read_indicators(low_indicator, high_indicator) * continuous_output_stats[2*j+1] + continuous_output_stats[2*j]); | ^ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 897 | if (binary_output_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 890 | if (continuous_input_cols[j] == i) { | ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 883 | 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.3128 + 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.97627 + 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: 0.982913 / Test error: 0.988806 / Layer sizes: 10 10 1 Training error: 0.962999 / Test error: 0.976606 / Layer sizes: 10 10 1 Training error: 0.961646 / Test error: 0.976291 / Layer sizes: 10 10 1 Training error: 0.964387 / Test error: 0.971094 / Layer sizes: 10 1 Training error: 0.925599 / Test error: 0.957947 / Layer sizes: 10 1 Training error: 0.924644 / Test error: 0.955926 / Layer sizes: 10 1 Training error: 0.910245 / Test error: 0.950892 / Layer sizes: 10 7 1 Training error: 0.895371 / Test error: 0.935468 / Layer sizes: 10 1 Training error: 0.870288 / Test error: 0.928146 / Layer sizes: 10 1 Training error: 0.863722 / Test error: 0.917562 / Layer sizes: 10 1 Training error: 0.862894 / Test error: 0.906793 / Layer sizes: 10 1 Training error: 0.842660 / Test error: 0.900990 / Layer sizes: 10 1 Training error: 0.827742 / Test error: 0.891896 / Layer sizes: 10 1 Training error: 0.814001 / Test error: 0.873949 / Layer sizes: 10 1 Training error: 0.805577 / Test error: 0.863423 / Layer sizes: 10 1 Training error: 0.792359 / Test error: 0.860053 / Layer sizes: 10 1 Training error: 0.722472 / Test error: 0.827769 / Layer sizes: 10 1 Training error: 0.712518 / Test error: 0.802017 / Layer sizes: 10 1 Training error: 0.677522 / Test error: 0.776197 / Layer sizes: 10 1 Training error: 0.664826 / Test error: 0.765199 / Layer sizes: 10 1 Training error: 0.636109 / Test error: 0.733554 / Layer sizes: 10 1 Training error: 0.634958 / Test error: 0.719204 / Layer sizes: 10 1 Training error: 0.603764 / Test error: 0.689362 / Layer sizes: 10 1 Training error: 0.570752 / Test error: 0.670292 / Layer sizes: 10 1 Training error: 0.563693 / Test error: 0.656361 / Layer sizes: 10 1 Training error: 0.562277 / Test error: 0.640273 / Layer sizes: 10 1 Training error: 0.552433 / Test error: 0.622642 / Layer sizes: 10 1 Training error: 0.519516 / Test error: 0.616125 / Layer sizes: 10 1 Training error: 0.506939 / Test error: 0.585821 / Layer sizes: 10 1 Training error: 0.501842 / Test error: 0.581890 / Layer sizes: 10 1 Training error: 0.500498 / Test error: 0.578966 / Layer sizes: 10 1 Training error: 0.495325 / Test error: 0.576996 / Layer sizes: 10 1 Training error: 0.494185 / Test error: 0.573762 / Layer sizes: 10 1 Training error: 0.489174 / Test error: 0.558702 / Layer sizes: 10 1 Training error: 0.487386 / Test error: 0.552587 / Layer sizes: 10 1 Training error: 0.483737 / Test error: 0.528461 / Layer sizes: 10 1 Training error: 0.481467 / Test error: 0.527370 / Layer sizes: 10 1 Training error: 0.470513 / Test error: 0.527065 / Layer sizes: 10 1 Training error: 0.466080 / Test error: 0.519994 / Layer sizes: 10 1 Training error: 0.464657 / Test error: 0.498136 / Layer sizes: 10 1 Training error: 0.461230 / Test error: 0.490763 / Layer sizes: 10 1 Training error: 0.450918 / Test error: 0.489188 / Layer sizes: 10 1 Training error: 0.449142 / Test error: 0.481733 / Layer sizes: 10 1 Training error: 0.446713 / Test error: 0.480409 / Layer sizes: 10 1 Training error: 0.436943 / Test error: 0.479439 / Layer sizes: 10 1 Training error: 0.433279 / Test error: 0.467682 / Layer sizes: 10 1 Training error: 0.427705 / Test error: 0.464517 / Layer sizes: 10 1 Training error: 0.427344 / Test error: 0.464338 / Layer sizes: 10 1 Training error: 0.438359 / Test error: 0.459693 / Layer sizes: 10 7 1 Training error: 0.412905 / Test error: 0.447409 / Layer sizes: 10 3 1 Training error: 0.401904 / Test error: 0.447266 / Layer sizes: 10 1 Training error: 0.398905 / Test error: 0.444798 / Layer sizes: 10 1 Training error: 0.396662 / Test error: 0.438682 / Layer sizes: 10 1 Training error: 0.383350 / Test error: 0.437504 / Layer sizes: 10 3 1 Training error: 0.379278 / Test error: 0.435565 / Layer sizes: 10 3 1 Training error: 0.375926 / Test error: 0.432867 / Layer sizes: 10 3 1 Training error: 0.372601 / Test error: 0.431390 / Layer sizes: 10 3 1 Training error: 0.371515 / Test error: 0.424763 / Layer sizes: 10 3 1 Training error: 0.370673 / Test error: 0.416212 / Layer sizes: 10 3 1 Training error: 0.369796 / Test error: 0.413338 / Layer sizes: 10 3 1 Training error: 0.366118 / Test error: 0.412731 / Layer sizes: 10 3 1 Training error: 0.285028 / Test error: 0.411021 / Layer sizes: 10 9 4 1 Training error: 0.283078 / Test error: 0.392416 / Layer sizes: 10 9 4 1 Training error: 0.281038 / Test error: 0.375880 / Layer sizes: 10 9 4 1 Training error: 0.275148 / Test error: 0.374836 / Layer sizes: 10 9 4 1 Training error: 0.275132 / Test error: 0.362759 / Layer sizes: 10 9 4 1 Training error: 0.243240 / Test error: 0.342934 / Layer sizes: 10 9 4 1 Training error: 0.173073 / Test error: 0.338610 / Layer sizes: 10 10 10 1 Training error: 0.122395 / Test error: 0.330877 / Layer sizes: 10 10 10 1 Training error: 0.115266 / Test error: 0.312730 / Layer sizes: 10 10 10 1 Training error: 0.185256 / Test error: 0.311402 / Layer sizes: 10 3 1 Training error: 0.184599 / Test error: 0.305598 / Layer sizes: 10 3 1 Training error: 0.183843 / Test error: 0.296174 / Layer sizes: 10 3 1 Training error: 0.183470 / Test error: 0.295079 / Layer sizes: 10 3 1 Training error: 0.179023 / Test error: 0.289284 / Layer sizes: 10 3 1 Training error: 0.173527 / Test error: 0.279326 / Layer sizes: 10 3 1 Training error: 0.170901 / Test error: 0.275760 / Layer sizes: 10 3 1 Training error: 0.168958 / Test error: 0.274124 / Layer sizes: 10 3 1 Training error: 0.168753 / Test error: 0.270976 / Layer sizes: 10 3 1 Training error: 0.156772 / Test error: 0.266815 / Layer sizes: 10 3 1 Training error: 0.156073 / Test error: 0.260049 / Layer sizes: 10 3 1 Training error: 0.153628 / Test error: 0.257683 / Layer sizes: 10 3 1 Training error: 0.152465 / Test error: 0.257350 / Layer sizes: 10 3 1 Training error: 0.150603 / Test error: 0.257184 / Layer sizes: 10 3 1 Training error: 0.148033 / Test error: 0.251991 / Layer sizes: 10 3 1 Training error: 0.143810 / Test error: 0.249187 / Layer sizes: 10 3 1 Training error: 0.138115 / Test error: 0.239770 / Layer sizes: 10 3 1 Training error: 0.135453 / Test error: 0.238700 / Layer sizes: 10 3 1 Training error: 0.135235 / Test error: 0.234059 / Layer sizes: 10 3 1 Training error: 0.126049 / Test error: 0.228866 / Layer sizes: 10 3 1 Training error: 0.123242 / Test error: 0.226481 / Layer sizes: 10 3 1 Training error: 0.119489 / Test error: 0.224145 / Layer sizes: 10 3 1 Training error: 0.118872 / Test error: 0.215256 / Layer sizes: 10 3 1 Training error: 0.115443 / Test error: 0.212891 / Layer sizes: 10 3 1 Training error: 0.111760 / Test error: 0.210459 / Layer sizes: 10 3 1 Training error: 0.108220 / Test error: 0.207237 / Layer sizes: 10 3 1 Training error: 0.107641 / Test error: 0.200311 / Layer sizes: 10 3 1 Training error: 0.105111 / Test error: 0.198569 / Layer sizes: 10 3 1 Training error: 0.101461 / Test error: 0.190798 / Layer sizes: 10 3 1 Training error: 0.100176 / Test error: 0.181089 / Layer sizes: 10 3 1 Training error: 0.099958 / Test error: 0.178749 / Layer sizes: 10 3 1 Training error: 0.099590 / Test error: 0.175515 / Layer sizes: 10 3 1 Training error: 0.099169 / Test error: 0.173127 / Layer sizes: 10 3 1 Training error: 0.095580 / Test error: 0.171609 / Layer sizes: 10 3 1 Training error: 0.080671 / Test error: 0.164840 / Layer sizes: 10 3 1 Training error: 0.080569 / Test error: 0.164624 / Layer sizes: 10 3 1 Training error: 0.078097 / Test error: 0.163334 / Layer sizes: 10 3 1 Training error: 0.078010 / Test error: 0.161091 / Layer sizes: 10 3 1 Training error: 0.065818 / Test error: 0.156069 / Layer sizes: 10 3 1 Training error: 0.061588 / Test error: 0.155767 / Layer sizes: 10 3 1 Training error: 0.060201 / Test error: 0.155363 / Layer sizes: 10 3 1 Training error: 0.059071 / Test error: 0.144629 / Layer sizes: 10 3 1 Training error: 0.058961 / Test error: 0.142156 / Layer sizes: 10 3 1 Training error: 0.058206 / Test error: 0.137723 / Layer sizes: 10 3 1 Training error: 0.054154 / Test error: 0.129256 / Layer sizes: 10 3 1 Training error: 0.041321 / Test error: 0.124142 / Layer sizes: 10 3 1 Training error: 0.041001 / Test error: 0.118368 / Layer sizes: 10 3 1 Training error: 0.037133 / Test error: 0.116209 / Layer sizes: 10 3 1 Training error: 0.036972 / Test error: 0.113956 / Layer sizes: 10 3 1 Training error: 0.036334 / Test error: 0.110369 / Layer sizes: 10 3 1 Training error: 0.034944 / Test error: 0.107202 / Layer sizes: 10 3 1 Training error: 0.034758 / Test error: 0.103560 / Layer sizes: 10 3 1 Training error: 0.034584 / Test error: 0.096624 / Layer sizes: 10 3 1 Training error: 0.018852 / Test error: 0.084967 / Layer sizes: 10 3 1 Training error: 0.018732 / Test error: 0.084619 / Layer sizes: 10 3 1 Training error: 0.014085 / Test error: 0.083059 / Layer sizes: 10 3 1 Training error: 0.014042 / Test error: 0.081728 / Layer sizes: 10 3 1 Training error: 0.013769 / Test error: 0.081259 / Layer sizes: 10 3 1 Training error: 0.013763 / Test error: 0.077194 / Layer sizes: 10 3 1 Training error: 0.013572 / Test error: 0.067330 / Layer sizes: 10 3 1 Training error: 0.013163 / Test error: 0.066755 / Layer sizes: 10 3 1 Training error: 0.013115 / Test error: 0.063018 / Layer sizes: 10 3 1 Training error: 0.010973 / Test error: 0.057576 / Layer sizes: 10 3 1 Training error: 0.010971 / Test error: 0.053093 / Layer sizes: 10 3 1 Training error: 0.010957 / Test error: 0.052741 / Layer sizes: 10 3 1 Training error: 0.010879 / Test error: 0.048515 / Layer sizes: 10 3 1 Training error: 0.010657 / Test error: 0.046350 / Layer sizes: 10 3 1 Training error: 0.009850 / Test error: 0.045905 / Layer sizes: 10 3 1 Training error: 0.009714 / Test error: 0.045589 / Layer sizes: 10 3 1 Training error: 0.009522 / Test error: 0.045389 / Layer sizes: 10 3 1 Training error: 0.008768 / Test error: 0.040490 / Layer sizes: 10 3 1 Training error: 0.006964 / Test error: 0.038318 / Layer sizes: 10 3 1 Training error: 0.005692 / Test error: 0.036952 / Layer sizes: 10 3 1 Training error: 0.005692 / Test error: 0.030163 / Layer sizes: 10 3 1 Training error: 0.005689 / Test error: 0.021996 / Layer sizes: 10 3 1 Training error: 0.005654 / Test error: 0.021049 / Layer sizes: 10 3 1 Training error: 0.003056 / Test error: 0.019029 / Layer sizes: 10 3 1 Training error: 0.002245 / Test error: 0.016013 / Layer sizes: 10 3 1 Training error: 0.001626 / Test error: 0.007169 / Layer sizes: 10 3 1 Training error: 0.001552 / Test error: 0.006822 / Layer sizes: 10 3 1 Training error: 0.000946 / Test error: 0.002715 / Layer sizes: 10 3 1 Training error: 0.000914 / Test error: 0.002703 / Layer sizes: 10 3 1 Training error: 0.000692 / Test error: 0.002228 / Layer sizes: 10 3 1 Training error: 0.000688 / Test error: 0.001547 / Layer sizes: 10 3 1 Training error: 0.000668 / Test error: 0.001326 / Layer sizes: 10 3 1 Training error: 0.000554 / Test error: 0.001258 / Layer sizes: 10 3 1 Training error: 0.000552 / Test error: 0.000902 / Layer sizes: 10 3 1 Training error: 0.000542 / Test error: 0.000881 / Layer sizes: 10 3 1 Training error: 0.000205 / Test error: 0.000770 / Layer sizes: 10 3 1 Training error: 0.000093 / Test error: 0.000431 / Layer sizes: 10 3 1 Training error: 0.000092 / Test error: 0.000341 / Layer sizes: 10 3 1 Training error: 0.000029 / Test error: 0.000053 / Layer sizes: 10 3 1 Training error: 0.000029 / Test error: 0.000051 / Layer sizes: 10 3 1 Training error: 0.000028 / Test error: 0.000049 / Layer sizes: 10 3 1 Training error: 0.000015 / Test error: 0.000021 / Layer sizes: 10 10 10 1 Training error: 0.000015 / Test error: 0.000021 / Layer sizes: 10 10 10 1 Training error: 0.000015 / Test error: 0.000021 / Layer sizes: 10 10 10 1 Training error: 0.000015 / Test error: 0.000020 / Layer sizes: 10 10 10 1 Training error: 0.000014 / Test error: 0.000019 / Layer sizes: 10 10 10 1 Training error: 0.000012 / Test error: 0.000016 / Layer sizes: 10 3 1 Training error: 0.000012 / Test error: 0.000015 / Layer sizes: 10 3 1 Training error: 0.000003 / Test error: 0.000005 / Layer sizes: 10 10 10 1 Training error: 0.000003 / Test error: 0.000004 / 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 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 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 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. 91.06 % correct. 8.94 % wrong. Limit: 18.18 %. 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.88864 + 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.rfkIYh 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.lJlQyi 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_2.1.3), 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), libm.so.6(GLIBC_2.29), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.yyKjFh 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.e4UrDh find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.ajABsi 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 93.62user 0.54system 1:39.17elapsed 94%CPU (0avgtext+0avgdata 37992maxresident)k 0inputs+0outputs (0major+170292minor)pagefaults 0swaps 102.19user 7.54system 1:54.02elapsed 96%CPU (0avgtext+0avgdata 109132maxresident)k 0inputs+0outputs (0major+500685minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.i586.rpm.repo 2013-04-03 05:20:58.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.i586.rpm.hasher 2020-12-04 19:51:55.633255064 +0000 @@ -7,2 +7,3 @@ Requires: libc.so.6(GLIBC_2.1) +Requires: libc.so.6(GLIBC_2.1.3) Requires: libc.so.6(GLIBC_2.3.4) @@ -11,2 +12,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)