<86>Apr 20 15:34:24 userdel[1799387]: delete user 'rooter' <86>Apr 20 15:34:24 userdel[1799387]: removed group 'rooter' owned by 'rooter' <86>Apr 20 15:34:24 groupadd[1799398]: group added to /etc/group: name=rooter, GID=651 <86>Apr 20 15:34:24 groupadd[1799398]: group added to /etc/gshadow: name=rooter <86>Apr 20 15:34:24 groupadd[1799398]: new group: name=rooter, GID=651 <86>Apr 20 15:34:24 useradd[1799410]: new user: name=rooter, UID=651, GID=651, home=/root, shell=/bin/bash <86>Apr 20 15:34:24 userdel[1799425]: delete user 'builder' <86>Apr 20 15:34:24 userdel[1799425]: removed group 'builder' owned by 'builder' <86>Apr 20 15:34:24 userdel[1799425]: removed shadow group 'builder' owned by 'builder' <86>Apr 20 15:34:24 groupadd[1799445]: group added to /etc/group: name=builder, GID=652 <86>Apr 20 15:34:24 groupadd[1799445]: group added to /etc/gshadow: name=builder <86>Apr 20 15:34:24 groupadd[1799445]: new group: name=builder, GID=652 <86>Apr 20 15:34:24 useradd[1799458]: new user: name=builder, UID=652, GID=652, home=/usr/src, shell=/bin/bash <13>Apr 20 15:34:26 rpmi: libruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Apr 20 15:34:27 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Apr 20 15:34:27 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Apr 20 15:34:27 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Apr 20 15:34:27 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Apr 20 15:34:27 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Apr 20 15:34:27 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Apr 20 15:34:27 rpmi: ca-certificates-2021.03.24-alt1 sisyphus+268304.300.1.1 1616591829 installed <13>Apr 20 15:34:27 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Apr 20 15:34:27 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Apr 20 15:34:27 rpmi: libcrypto1.1-1.1.1k-alt1 sisyphus+268375.100.1.1 1616684255 installed <13>Apr 20 15:34:27 rpmi: libssl1.1-1.1.1k-alt1 sisyphus+268375.100.1.1 1616684255 installed <13>Apr 20 15:34:27 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Apr 20 15:34:27 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Apr 20 15:34:27 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Apr 20 15:34:27 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Apr 20 15:34:27 rpmi: gem-2:3.1.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Apr 20 15:34:27 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 20 15:34:27 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 20 15:34:27 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Apr 20 15:34:27 rpmi: erb-0:2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Apr 20 15:34:27 rpmi: irb-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Apr 20 15:34:27 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Apr 20 15:34:27 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Apr 20 15:34:27 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Apr 20 15:34:28 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Apr 20 15:34:28 rpmi: ruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Apr 20 15:34:29 rpmi: ruby-stdlibs-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 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.478 + 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.478 + 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.4345 + 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.53001 + 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: 0.998141 / Test error: 0.998462 / Layer sizes: 10 3 1 Training error: 0.996569 / Test error: 0.996876 / Layer sizes: 10 7 1 Training error: 0.986320 / Test error: 0.981247 / Layer sizes: 10 10 1 Training error: 0.972819 / Test error: 0.977293 / Layer sizes: 10 7 1 Training error: 0.971582 / Test error: 0.965406 / Layer sizes: 10 1 Training error: 0.963138 / Test error: 0.951960 / Layer sizes: 10 1 Training error: 0.916985 / Test error: 0.940448 / Layer sizes: 10 1 Training error: 0.897048 / Test error: 0.930141 / Layer sizes: 10 1 Training error: 0.836165 / Test error: 0.863141 / Layer sizes: 10 1 Training error: 0.814722 / Test error: 0.808687 / Layer sizes: 10 1 Training error: 0.796985 / Test error: 0.798169 / Layer sizes: 10 1 Training error: 0.762638 / Test error: 0.790121 / Layer sizes: 10 1 Training error: 0.740411 / Test error: 0.773135 / Layer sizes: 10 1 Training error: 0.738152 / Test error: 0.763281 / Layer sizes: 10 1 Training error: 0.728801 / Test error: 0.762020 / Layer sizes: 10 1 Training error: 0.717938 / Test error: 0.754914 / Layer sizes: 10 1 Training error: 0.706181 / Test error: 0.754113 / Layer sizes: 10 1 Training error: 0.690889 / Test error: 0.725740 / Layer sizes: 10 1 Training error: 0.664860 / Test error: 0.699671 / Layer sizes: 10 1 Training error: 0.653572 / Test error: 0.694695 / Layer sizes: 10 1 Training error: 0.632191 / Test error: 0.649314 / Layer sizes: 10 1 Training error: 0.624598 / Test error: 0.648592 / Layer sizes: 10 1 Training error: 0.614492 / Test error: 0.630372 / Layer sizes: 10 1 Training error: 0.599794 / Test error: 0.616934 / Layer sizes: 10 1 Training error: 0.596654 / Test error: 0.613297 / Layer sizes: 10 1 Training error: 0.591882 / Test error: 0.612359 / Layer sizes: 10 1 Training error: 0.584468 / Test error: 0.586140 / Layer sizes: 10 1 Training error: 0.552995 / Test error: 0.562366 / Layer sizes: 10 1 Training error: 0.550585 / Test error: 0.541103 / Layer sizes: 10 1 Training error: 0.536225 / Test error: 0.526302 / Layer sizes: 10 1 Training error: 0.513965 / Test error: 0.501417 / Layer sizes: 10 1 Training error: 0.509567 / Test error: 0.495053 / Layer sizes: 10 1 Training error: 0.509366 / Test error: 0.489235 / Layer sizes: 10 1 Training error: 0.536004 / Test error: 0.476049 / Layer sizes: 10 10 1 Training error: 0.526824 / Test error: 0.457137 / Layer sizes: 10 10 1 Training error: 0.492654 / Test error: 0.456901 / Layer sizes: 10 1 Training error: 0.521175 / Test error: 0.453109 / Layer sizes: 10 10 1 Training error: 0.492434 / Test error: 0.449086 / Layer sizes: 10 1 Training error: 0.507037 / Test error: 0.446352 / Layer sizes: 10 10 1 Training error: 0.494873 / Test error: 0.443204 / Layer sizes: 10 10 1 Training error: 0.494711 / Test error: 0.436408 / Layer sizes: 10 10 1 Training error: 0.494369 / Test error: 0.435792 / Layer sizes: 10 10 1 Training error: 0.490839 / Test error: 0.429658 / Layer sizes: 10 10 1 Training error: 0.485869 / Test error: 0.417976 / Layer sizes: 10 10 1 Training error: 0.475481 / Test error: 0.396923 / Layer sizes: 10 10 1 Training error: 0.458961 / Test error: 0.390905 / Layer sizes: 10 10 1 Training error: 0.453607 / Test error: 0.387968 / Layer sizes: 10 10 1 Training error: 0.455847 / Test error: 0.385316 / Layer sizes: 10 1 Training error: 0.451029 / Test error: 0.383714 / Layer sizes: 10 1 Training error: 0.449824 / Test error: 0.378500 / Layer sizes: 10 1 Training error: 0.447776 / Test error: 0.374952 / Layer sizes: 10 1 Training error: 0.442355 / Test error: 0.374358 / Layer sizes: 10 1 Training error: 0.439998 / Test error: 0.370738 / Layer sizes: 10 1 Training error: 0.431271 / Test error: 0.363533 / Layer sizes: 10 1 Training error: 0.424731 / Test error: 0.363433 / Layer sizes: 10 10 1 Training error: 0.421178 / Test error: 0.356442 / Layer sizes: 10 10 1 Training error: 0.419619 / Test error: 0.348324 / Layer sizes: 10 10 1 Training error: 0.414693 / Test error: 0.346340 / Layer sizes: 10 10 1 Training error: 0.409359 / Test error: 0.337221 / Layer sizes: 10 10 1 Training error: 0.405659 / Test error: 0.335534 / Layer sizes: 10 10 1 Training error: 0.403761 / Test error: 0.327371 / Layer sizes: 10 10 1 Training error: 0.401054 / Test error: 0.324115 / Layer sizes: 10 10 1 Training error: 0.399103 / Test error: 0.323764 / Layer sizes: 10 10 1 Training error: 0.394481 / Test error: 0.322466 / Layer sizes: 10 10 1 Training error: 0.391230 / Test error: 0.314862 / Layer sizes: 10 10 1 Training error: 0.388443 / Test error: 0.312645 / Layer sizes: 10 10 1 Training error: 0.387073 / Test error: 0.312035 / Layer sizes: 10 1 Training error: 0.353757 / Test error: 0.309291 / Layer sizes: 10 10 1 Training error: 0.381649 / Test error: 0.303321 / Layer sizes: 10 1 Training error: 0.380939 / Test error: 0.302268 / Layer sizes: 10 1 Training error: 0.379894 / Test error: 0.302240 / Layer sizes: 10 1 Training error: 0.379502 / Test error: 0.301159 / Layer sizes: 10 1 Training error: 0.360071 / Test error: 0.293994 / Layer sizes: 10 3 1 Training error: 0.339043 / Test error: 0.293169 / Layer sizes: 10 10 1 Training error: 0.350437 / Test error: 0.281631 / Layer sizes: 10 3 1 Training error: 0.350232 / Test error: 0.272944 / Layer sizes: 10 3 1 Training error: 0.346685 / Test error: 0.269091 / Layer sizes: 10 3 1 Training error: 0.343627 / Test error: 0.257279 / Layer sizes: 10 3 1 Training error: 0.342475 / Test error: 0.253629 / Layer sizes: 10 3 1 Training error: 0.336481 / Test error: 0.251604 / Layer sizes: 10 3 1 Training error: 0.334245 / Test error: 0.249181 / Layer sizes: 10 3 1 Training error: 0.333372 / Test error: 0.247388 / Layer sizes: 10 3 1 Training error: 0.290684 / Test error: 0.236689 / Layer sizes: 10 9 4 1 Training error: 0.288417 / Test error: 0.228822 / Layer sizes: 10 9 4 1 Training error: 0.283622 / Test error: 0.224291 / Layer sizes: 10 9 4 1 Training error: 0.265623 / Test error: 0.207391 / Layer sizes: 10 9 4 1 Training error: 0.263960 / Test error: 0.202001 / Layer sizes: 10 9 4 1 Training error: 0.263331 / Test error: 0.199908 / Layer sizes: 10 9 4 1 Training error: 0.253463 / Test error: 0.194320 / Layer sizes: 10 9 4 1 Training error: 0.253117 / Test error: 0.193448 / Layer sizes: 10 9 4 1 Training error: 0.248359 / Test error: 0.190999 / Layer sizes: 10 9 4 1 Training error: 0.247872 / Test error: 0.180234 / Layer sizes: 10 9 4 1 Training error: 0.083681 / Test error: 0.173263 / Layer sizes: 10 3 3 1 Training error: 0.077293 / Test error: 0.170624 / Layer sizes: 10 3 3 1 Training error: 0.076880 / Test error: 0.163420 / Layer sizes: 10 3 3 1 Training error: 0.076359 / Test error: 0.161662 / Layer sizes: 10 3 3 1 Training error: 0.075788 / Test error: 0.159861 / Layer sizes: 10 3 3 1 Training error: 0.072720 / Test error: 0.156100 / Layer sizes: 10 3 3 1 Training error: 0.036886 / Test error: 0.146734 / Layer sizes: 10 3 3 1 Training error: 0.036286 / Test error: 0.140543 / Layer sizes: 10 3 3 1 Training error: 0.034181 / Test error: 0.137017 / Layer sizes: 10 3 3 1 Training error: 0.030724 / Test error: 0.135324 / Layer sizes: 10 3 3 1 Training error: 0.026326 / Test error: 0.134453 / Layer sizes: 10 3 3 1 Training error: 0.025951 / Test error: 0.131280 / Layer sizes: 10 3 3 1 Training error: 0.025812 / Test error: 0.128939 / Layer sizes: 10 3 3 1 Training error: 0.025250 / Test error: 0.127909 / Layer sizes: 10 3 3 1 Training error: 0.024415 / Test error: 0.125410 / Layer sizes: 10 3 3 1 Training error: 0.019573 / Test error: 0.122186 / Layer sizes: 10 3 3 1 Training error: 0.017600 / Test error: 0.120199 / Layer sizes: 10 3 3 1 Training error: 0.017418 / Test error: 0.106800 / Layer sizes: 10 3 3 1 Training error: 0.008126 / Test error: 0.090070 / Layer sizes: 10 3 3 1 Training error: 0.008029 / Test error: 0.088680 / Layer sizes: 10 3 3 1 Training error: 0.007837 / Test error: 0.084946 / Layer sizes: 10 3 3 1 Training error: 0.007615 / Test error: 0.083953 / Layer sizes: 10 3 3 1 Training error: 0.002848 / Test error: 0.082541 / Layer sizes: 10 3 3 1 Training error: 0.001317 / Test error: 0.079813 / Layer sizes: 10 3 3 1 Training error: 0.001260 / Test error: 0.078952 / Layer sizes: 10 3 3 1 Training error: 0.001195 / Test error: 0.043867 / Layer sizes: 10 3 3 1 Training error: 0.000901 / Test error: 0.041371 / Layer sizes: 10 3 3 1 Training error: 0.000885 / Test error: 0.041327 / Layer sizes: 10 3 3 1 Training error: 0.000851 / Test error: 0.041263 / Layer sizes: 10 3 3 1 Training error: 0.000830 / Test error: 0.041252 / Layer sizes: 10 3 3 1 Training error: 0.000570 / Test error: 0.041229 / Layer sizes: 10 3 3 1 Training error: 0.000562 / Test error: 0.041175 / Layer sizes: 10 3 3 1 Training error: 0.000560 / Test error: 0.041127 / Layer sizes: 10 3 3 1 Training error: 0.000555 / Test error: 0.041083 / Layer sizes: 10 3 3 1 Training error: 0.000487 / Test error: 0.040957 / Layer sizes: 10 3 3 1 Training error: 0.000475 / Test error: 0.040940 / Layer sizes: 10 3 3 1 Training error: 0.000460 / Test error: 0.040866 / Layer sizes: 10 3 3 1 Training error: 0.000450 / Test error: 0.040704 / Layer sizes: 10 3 3 1 Training error: 0.000444 / Test error: 0.040682 / Layer sizes: 10 3 3 1 Training error: 0.000432 / Test error: 0.040225 / Layer sizes: 10 3 3 1 Training error: 0.000430 / Test error: 0.040117 / Layer sizes: 10 3 3 1 Training error: 0.000418 / Test error: 0.000745 / Layer sizes: 10 3 3 1 Training error: 0.000417 / Test error: 0.000561 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.000134 / 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 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 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 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 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 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. 92.60 % correct. 7.40 % wrong. Limit: 18.11 %. 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.9352 + 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.rNSP14 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.CA2sz6 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.qwYAJ4 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.SlVoy4 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.JEX0Z7 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) 89.38user 0.48system 1:41.60elapsed 88%CPU (0avgtext+0avgdata 36444maxresident)k 0inputs+0outputs (0major+171569minor)pagefaults 0swaps 95.89user 3.60system 1:55.05elapsed 86%CPU (0avgtext+0avgdata 106532maxresident)k 0inputs+0outputs (0major+497651minor)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 2021-04-20 15:36:17.731764097 +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)