<86>Feb 11 12:15:50 userdel[687142]: delete user 'rooter' <86>Feb 11 12:15:50 userdel[687142]: removed group 'rooter' owned by 'rooter' <86>Feb 11 12:15:50 userdel[687142]: removed shadow group 'rooter' owned by 'rooter' <86>Feb 11 12:15:50 groupadd[687152]: group added to /etc/group: name=rooter, GID=699 <86>Feb 11 12:15:50 groupadd[687152]: group added to /etc/gshadow: name=rooter <86>Feb 11 12:15:50 groupadd[687152]: new group: name=rooter, GID=699 <86>Feb 11 12:15:50 useradd[687157]: new user: name=rooter, UID=699, GID=699, home=/root, shell=/bin/bash <86>Feb 11 12:15:50 userdel[687173]: delete user 'builder' <86>Feb 11 12:15:50 userdel[687173]: removed group 'builder' owned by 'builder' <86>Feb 11 12:15:50 userdel[687173]: removed shadow group 'builder' owned by 'builder' <86>Feb 11 12:15:50 groupadd[687184]: group added to /etc/group: name=builder, GID=700 <86>Feb 11 12:15:50 groupadd[687184]: group added to /etc/gshadow: name=builder <86>Feb 11 12:15:50 groupadd[687184]: new group: name=builder, GID=700 <86>Feb 11 12:15:50 useradd[687190]: new user: name=builder, UID=700, GID=700, home=/usr/src, shell=/bin/bash <13>Feb 11 12:15:52 rpmi: libruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Feb 11 12:15:52 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Feb 11 12:15:52 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Feb 11 12:15:52 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Feb 11 12:15:52 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Feb 11 12:15:52 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Feb 11 12:15:52 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Feb 11 12:15:52 rpmi: ca-certificates-2021.01.27-alt1 sisyphus+265371.200.1.1 1611759824 installed <13>Feb 11 12:15:52 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Feb 11 12:15:52 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Feb 11 12:15:52 rpmi: libcrypto1.1-1.1.1i-alt3 sisyphus+265605.200.2.1 1612202596 installed <13>Feb 11 12:15:52 rpmi: libssl1.1-1.1.1i-alt3 sisyphus+265605.200.2.1 1612202596 installed <13>Feb 11 12:15:52 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Feb 11 12:15:52 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Feb 11 12:15:52 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Feb 11 12:15:52 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Feb 11 12:15:52 rpmi: gem-2:3.1.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Feb 11 12:15:52 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Feb 11 12:15:52 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Feb 11 12:15:52 rpmi: erb-0:2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Feb 11 12:15:52 rpmi: irb-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Feb 11 12:15:52 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Feb 11 12:15:52 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Feb 11 12:15:52 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Feb 11 12:15:53 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Feb 11 12:15:53 rpmi: ruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Feb 11 12:15:54 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.53929 + 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.53929 + 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.17362 + 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.17362 + 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: 0.993074 / Test error: 0.996795 / Layer sizes: 10 1 Training error: 0.994064 / Test error: 0.988656 / Layer sizes: 10 9 4 1 Training error: 0.985307 / Test error: 0.970853 / Layer sizes: 10 3 3 1 Training error: 0.974459 / Test error: 0.947378 / Layer sizes: 10 3 3 1 Training error: 0.969614 / Test error: 0.936121 / Layer sizes: 10 3 3 1 Training error: 0.968826 / Test error: 0.934187 / Layer sizes: 10 3 3 1 Training error: 0.968185 / Test error: 0.932129 / Layer sizes: 10 9 4 1 Training error: 0.913986 / Test error: 0.916452 / Layer sizes: 10 1 Training error: 0.911885 / Test error: 0.915775 / Layer sizes: 10 1 Training error: 0.894812 / Test error: 0.896282 / Layer sizes: 10 1 Training error: 0.955583 / Test error: 0.894962 / Layer sizes: 10 3 3 1 Training error: 0.863744 / Test error: 0.856136 / Layer sizes: 10 1 Training error: 0.814214 / Test error: 0.838279 / Layer sizes: 10 1 Training error: 0.812016 / Test error: 0.836107 / Layer sizes: 10 1 Training error: 0.783687 / Test error: 0.802646 / Layer sizes: 10 1 Training error: 0.766449 / Test error: 0.784820 / Layer sizes: 10 1 Training error: 0.763674 / Test error: 0.782058 / Layer sizes: 10 1 Training error: 0.760526 / Test error: 0.757666 / Layer sizes: 10 1 Training error: 0.753158 / Test error: 0.747228 / Layer sizes: 10 1 Training error: 0.733186 / Test error: 0.714901 / Layer sizes: 10 1 Training error: 0.719561 / Test error: 0.700534 / Layer sizes: 10 1 Training error: 0.698973 / Test error: 0.682676 / Layer sizes: 10 1 Training error: 0.690422 / Test error: 0.670998 / Layer sizes: 10 1 Training error: 0.677795 / Test error: 0.663641 / Layer sizes: 10 1 Training error: 0.674392 / Test error: 0.659768 / Layer sizes: 10 1 Training error: 0.643480 / Test error: 0.638300 / Layer sizes: 10 1 Training error: 0.627621 / Test error: 0.634224 / Layer sizes: 10 1 Training error: 0.627102 / Test error: 0.623484 / Layer sizes: 10 1 Training error: 0.616302 / Test error: 0.618927 / Layer sizes: 10 1 Training error: 0.612223 / Test error: 0.615653 / Layer sizes: 10 1 Training error: 0.598898 / Test error: 0.600064 / Layer sizes: 10 1 Training error: 0.596246 / Test error: 0.591212 / Layer sizes: 10 1 Training error: 0.571813 / Test error: 0.576591 / Layer sizes: 10 1 Training error: 0.559738 / Test error: 0.557072 / Layer sizes: 10 1 Training error: 0.541173 / Test error: 0.530569 / Layer sizes: 10 1 Training error: 0.538926 / Test error: 0.528298 / Layer sizes: 10 1 Training error: 0.529253 / Test error: 0.514985 / Layer sizes: 10 1 Training error: 0.519550 / Test error: 0.507746 / Layer sizes: 10 1 Training error: 0.509571 / Test error: 0.501967 / Layer sizes: 10 1 Training error: 0.500990 / Test error: 0.496740 / Layer sizes: 10 1 Training error: 0.493767 / Test error: 0.493843 / Layer sizes: 10 1 Training error: 0.479831 / Test error: 0.489287 / Layer sizes: 10 1 Training error: 0.478353 / Test error: 0.487597 / Layer sizes: 10 1 Training error: 0.476090 / Test error: 0.487375 / Layer sizes: 10 1 Training error: 0.470517 / Test error: 0.476571 / Layer sizes: 10 1 Training error: 0.460056 / Test error: 0.473132 / Layer sizes: 10 1 Training error: 0.456206 / Test error: 0.469500 / Layer sizes: 10 1 Training error: 0.446907 / Test error: 0.465837 / Layer sizes: 10 1 Training error: 0.444721 / Test error: 0.458811 / Layer sizes: 10 1 Training error: 0.433739 / Test error: 0.453848 / Layer sizes: 10 1 Training error: 0.400864 / Test error: 0.452399 / Layer sizes: 10 1 Training error: 0.392471 / Test error: 0.449442 / Layer sizes: 10 1 Training error: 0.373079 / Test error: 0.447840 / Layer sizes: 10 1 Training error: 0.372847 / Test error: 0.441034 / Layer sizes: 10 1 Training error: 0.367090 / Test error: 0.440550 / Layer sizes: 10 1 Training error: 0.355143 / Test error: 0.431905 / Layer sizes: 10 1 Training error: 0.435219 / Test error: 0.428857 / Layer sizes: 10 10 10 1 Training error: 0.348693 / Test error: 0.423072 / Layer sizes: 10 1 Training error: 0.432127 / Test error: 0.422275 / Layer sizes: 10 10 10 1 Training error: 0.428380 / Test error: 0.422250 / Layer sizes: 10 10 10 1 Training error: 0.348653 / Test error: 0.421114 / Layer sizes: 10 1 Training error: 0.347167 / Test error: 0.416553 / Layer sizes: 10 1 Training error: 0.343359 / Test error: 0.414932 / Layer sizes: 10 1 Training error: 0.342326 / Test error: 0.414145 / Layer sizes: 10 1 Training error: 0.349913 / Test error: 0.414034 / Layer sizes: 10 3 1 Training error: 0.341653 / Test error: 0.410807 / Layer sizes: 10 1 Training error: 0.332692 / Test error: 0.407804 / Layer sizes: 10 1 Training error: 0.330021 / Test error: 0.402812 / Layer sizes: 10 1 Training error: 0.326792 / Test error: 0.402129 / Layer sizes: 10 1 Training error: 0.325865 / Test error: 0.399058 / Layer sizes: 10 1 Training error: 0.325381 / Test error: 0.398517 / Layer sizes: 10 1 Training error: 0.321492 / Test error: 0.397169 / Layer sizes: 10 1 Training error: 0.313207 / Test error: 0.396528 / Layer sizes: 10 1 Training error: 0.312472 / Test error: 0.394354 / Layer sizes: 10 1 Training error: 0.312827 / Test error: 0.391746 / Layer sizes: 10 3 3 1 Training error: 0.295541 / Test error: 0.391139 / Layer sizes: 10 3 3 1 Training error: 0.293908 / Test error: 0.389727 / Layer sizes: 10 3 3 1 Training error: 0.265643 / Test error: 0.380411 / Layer sizes: 10 3 3 1 Training error: 0.263220 / Test error: 0.374491 / Layer sizes: 10 3 3 1 Training error: 0.261619 / Test error: 0.370873 / Layer sizes: 10 3 3 1 Training error: 0.245371 / Test error: 0.369098 / Layer sizes: 10 3 1 Training error: 0.231972 / Test error: 0.363148 / Layer sizes: 10 3 3 1 Training error: 0.231515 / Test error: 0.354975 / Layer sizes: 10 3 3 1 Training error: 0.227635 / Test error: 0.334741 / Layer sizes: 10 7 1 Training error: 0.201407 / Test error: 0.333971 / Layer sizes: 10 7 1 Training error: 0.196902 / Test error: 0.329507 / Layer sizes: 10 3 1 Training error: 0.183298 / Test error: 0.328329 / Layer sizes: 10 3 1 Training error: 0.182544 / Test error: 0.326374 / Layer sizes: 10 3 1 Training error: 0.182112 / Test error: 0.322799 / Layer sizes: 10 3 1 Training error: 0.139041 / Test error: 0.321358 / Layer sizes: 10 9 4 1 Training error: 0.137754 / Test error: 0.321074 / Layer sizes: 10 9 4 1 Training error: 0.169662 / Test error: 0.316810 / Layer sizes: 10 3 3 1 Training error: 0.168825 / Test error: 0.316165 / Layer sizes: 10 3 3 1 Training error: 0.168407 / Test error: 0.315894 / Layer sizes: 10 3 3 1 Training error: 0.168212 / Test error: 0.313556 / Layer sizes: 10 3 3 1 Training error: 0.123561 / Test error: 0.309295 / Layer sizes: 10 9 4 1 Training error: 0.121118 / Test error: 0.308765 / Layer sizes: 10 9 4 1 Training error: 0.086357 / Test error: 0.307646 / Layer sizes: 10 9 4 1 Training error: 0.080516 / Test error: 0.288405 / Layer sizes: 10 9 4 1 Training error: 0.077752 / Test error: 0.281965 / Layer sizes: 10 9 4 1 Training error: 0.074877 / Test error: 0.280007 / Layer sizes: 10 9 4 1 Training error: 0.073083 / Test error: 0.275733 / Layer sizes: 10 9 4 1 Training error: 0.071836 / Test error: 0.265760 / Layer sizes: 10 9 4 1 Training error: 0.063126 / Test error: 0.262044 / Layer sizes: 10 9 4 1 Training error: 0.062902 / Test error: 0.251283 / Layer sizes: 10 9 4 1 Training error: 0.058232 / Test error: 0.244789 / Layer sizes: 10 9 4 1 Training error: 0.054730 / Test error: 0.241583 / Layer sizes: 10 9 4 1 Training error: 0.054471 / Test error: 0.240250 / Layer sizes: 10 9 4 1 Training error: 0.055558 / Test error: 0.236252 / Layer sizes: 10 10 10 1 Training error: 0.055432 / Test error: 0.229452 / Layer sizes: 10 10 10 1 Training error: 0.054795 / Test error: 0.228927 / Layer sizes: 10 10 10 1 Training error: 0.054129 / Test error: 0.217495 / Layer sizes: 10 10 10 1 Training error: 0.053455 / Test error: 0.213987 / Layer sizes: 10 10 10 1 Training error: 0.053454 / Test error: 0.211839 / Layer sizes: 10 10 10 1 Training error: 0.053326 / Test error: 0.207961 / Layer sizes: 10 10 10 1 Training error: 0.051816 / Test error: 0.207029 / Layer sizes: 10 10 10 1 Training error: 0.051133 / Test error: 0.199216 / Layer sizes: 10 10 10 1 Training error: 0.051065 / Test error: 0.196201 / Layer sizes: 10 10 10 1 Training error: 0.045520 / Test error: 0.185389 / Layer sizes: 10 10 10 1 Training error: 0.044672 / Test error: 0.183251 / Layer sizes: 10 10 10 1 Training error: 0.036985 / Test error: 0.168691 / Layer sizes: 10 10 10 1 Training error: 0.035753 / Test error: 0.167786 / Layer sizes: 10 10 10 1 Training error: 0.021301 / Test error: 0.163255 / Layer sizes: 10 10 10 1 Training error: 0.021126 / Test error: 0.156740 / Layer sizes: 10 10 10 1 Training error: 0.018661 / Test error: 0.155337 / Layer sizes: 10 10 10 1 Training error: 0.018386 / Test error: 0.143904 / Layer sizes: 10 10 10 1 Training error: 0.018268 / Test error: 0.141059 / Layer sizes: 10 10 10 1 Training error: 0.017623 / Test error: 0.129168 / Layer sizes: 10 10 10 1 Training error: 0.041952 / Test error: 0.125945 / Layer sizes: 10 3 1 Training error: 0.041945 / Test error: 0.121577 / Layer sizes: 10 3 1 Training error: 0.000649 / Test error: 0.121531 / Layer sizes: 10 7 1 Training error: 0.000647 / Test error: 0.121214 / Layer sizes: 10 7 1 Training error: 0.000636 / Test error: 0.120557 / Layer sizes: 10 7 1 Training error: 0.000635 / Test error: 0.120475 / Layer sizes: 10 7 1 Training error: 0.000633 / Test error: 0.120067 / Layer sizes: 10 7 1 Training error: 0.000631 / Test error: 0.119825 / Layer sizes: 10 7 1 Training error: 0.000628 / Test error: 0.119675 / Layer sizes: 10 7 1 Training error: 0.000601 / Test error: 0.119656 / Layer sizes: 10 7 1 Training error: 0.000592 / Test error: 0.119509 / Layer sizes: 10 7 1 Training error: 0.000579 / Test error: 0.119122 / Layer sizes: 10 7 1 Training error: 0.000564 / Test error: 0.118946 / Layer sizes: 10 7 1 Training error: 0.000003 / Test error: 0.083172 / Layer sizes: 10 10 10 1 Training error: 0.000001 / Test error: 0.080483 / Layer sizes: 10 9 4 1 Training error: 0.000001 / Test error: 0.041630 / 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. 86.62 % correct. 13.38 % wrong. Limit: 17.86 %. 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.38023 + 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.jiW0ax 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.thvXXv 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.JqI9pA 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.7Joi2w find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.A3RDcy 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) 84.07user 0.52system 1:38.37elapsed 85%CPU (0avgtext+0avgdata 36480maxresident)k 0inputs+0outputs (0major+172208minor)pagefaults 0swaps 89.94user 3.30system 1:46.76elapsed 87%CPU (0avgtext+0avgdata 108640maxresident)k 0inputs+0outputs (0major+490328minor)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 2021-02-11 12:17:35.224991698 +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)