<86>Aug 14 12:00:07 userdel[2710914]: delete user 'rooter' <86>Aug 14 12:00:07 groupadd[2710919]: group added to /etc/group: name=rooter, GID=699 <86>Aug 14 12:00:07 groupadd[2710919]: group added to /etc/gshadow: name=rooter <86>Aug 14 12:00:07 groupadd[2710919]: new group: name=rooter, GID=699 <86>Aug 14 12:00:07 useradd[2710925]: new user: name=rooter, UID=699, GID=699, home=/root, shell=/bin/bash <86>Aug 14 12:00:07 userdel[2710933]: delete user 'builder' <86>Aug 14 12:00:07 userdel[2710933]: removed group 'builder' owned by 'builder' <86>Aug 14 12:00:07 userdel[2710933]: removed shadow group 'builder' owned by 'builder' <86>Aug 14 12:00:07 groupadd[2710940]: group added to /etc/group: name=builder, GID=700 <86>Aug 14 12:00:07 groupadd[2710940]: group added to /etc/gshadow: name=builder <86>Aug 14 12:00:07 groupadd[2710940]: new group: name=builder, GID=700 <86>Aug 14 12:00:07 useradd[2710944]: new user: name=builder, UID=700, GID=700, home=/usr/src, shell=/bin/bash <13>Aug 14 12:00:09 rpmi: libruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Aug 14 12:00:09 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Aug 14 12:00:09 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Aug 14 12:00:09 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Aug 14 12:00:09 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Aug 14 12:00:09 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 14 12:00:09 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 14 12:00:09 rpmi: ca-certificates-2020.06.29-alt1 sisyphus+254237.300.1.1 1593450881 installed <13>Aug 14 12:00:09 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Aug 14 12:00:09 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Aug 14 12:00:09 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Aug 14 12:00:09 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Aug 14 12:00:09 rpmi: erb-0:2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 14 12:00:09 rpmi: irb-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 14 12:00:09 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Aug 14 12:00:09 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Aug 14 12:00:09 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Aug 14 12:00:09 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 14 12:00:10 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 14 12:00:10 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Aug 14 12:00:10 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Aug 14 12:00:10 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 14 12:00:10 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 14 12:00:10 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 14 12:00:10 rpmi: gem-1:3.1.2-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 14 12:00:10 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 14 12:00:11 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 14 12:00:11 rpmi: ruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Aug 14 12:00:12 rpmi: ruby-stdlibs-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 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.39571 + 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.39571 + 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: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: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: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.68259 + 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.82791 + 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: 0.980762 / Test error: 0.984892 / Layer sizes: 10 7 1 Training error: 0.980955 / Test error: 0.983652 / Layer sizes: 10 10 1 Training error: 0.963510 / Test error: 0.968484 / Layer sizes: 10 10 1 Training error: 0.954677 / Test error: 0.964425 / Layer sizes: 10 7 1 Training error: 0.951491 / Test error: 0.962478 / Layer sizes: 10 3 3 1 Training error: 0.949429 / Test error: 0.959463 / Layer sizes: 10 7 1 Training error: 0.946288 / Test error: 0.958416 / Layer sizes: 10 3 3 1 Training error: 0.940759 / Test error: 0.954252 / Layer sizes: 10 3 3 1 Training error: 0.938959 / Test error: 0.952684 / Layer sizes: 10 3 3 1 Training error: 0.927037 / Test error: 0.942935 / Layer sizes: 10 7 1 Training error: 0.912478 / Test error: 0.932817 / Layer sizes: 10 1 Training error: 0.903586 / Test error: 0.919421 / Layer sizes: 10 1 Training error: 0.887065 / Test error: 0.913761 / Layer sizes: 10 10 1 Training error: 0.846182 / Test error: 0.880616 / Layer sizes: 10 1 Training error: 0.843689 / Test error: 0.874930 / Layer sizes: 10 10 1 Training error: 0.837619 / Test error: 0.870647 / Layer sizes: 10 10 1 Training error: 0.831265 / Test error: 0.856682 / Layer sizes: 10 1 Training error: 0.823739 / Test error: 0.854190 / Layer sizes: 10 1 Training error: 0.821990 / Test error: 0.851935 / Layer sizes: 10 1 Training error: 0.800027 / Test error: 0.840914 / Layer sizes: 10 1 Training error: 0.776736 / Test error: 0.797448 / Layer sizes: 10 1 Training error: 0.739563 / Test error: 0.778293 / Layer sizes: 10 1 Training error: 0.719145 / Test error: 0.764583 / Layer sizes: 10 1 Training error: 0.715760 / Test error: 0.762610 / Layer sizes: 10 1 Training error: 0.690996 / Test error: 0.738970 / Layer sizes: 10 1 Training error: 0.684153 / Test error: 0.719790 / Layer sizes: 10 1 Training error: 0.670913 / Test error: 0.713401 / Layer sizes: 10 1 Training error: 0.653490 / Test error: 0.687509 / Layer sizes: 10 1 Training error: 0.636058 / Test error: 0.680295 / Layer sizes: 10 1 Training error: 0.615923 / Test error: 0.654566 / Layer sizes: 10 1 Training error: 0.610769 / Test error: 0.647542 / Layer sizes: 10 1 Training error: 0.608603 / Test error: 0.643084 / Layer sizes: 10 1 Training error: 0.597694 / Test error: 0.625591 / Layer sizes: 10 1 Training error: 0.585604 / Test error: 0.602961 / Layer sizes: 10 1 Training error: 0.575126 / Test error: 0.594641 / Layer sizes: 10 1 Training error: 0.573903 / Test error: 0.591310 / Layer sizes: 10 1 Training error: 0.572605 / Test error: 0.590926 / Layer sizes: 10 1 Training error: 0.558412 / Test error: 0.571031 / Layer sizes: 10 1 Training error: 0.540440 / Test error: 0.555812 / Layer sizes: 10 1 Training error: 0.540160 / Test error: 0.554884 / Layer sizes: 10 1 Training error: 0.529090 / Test error: 0.553115 / Layer sizes: 10 1 Training error: 0.500724 / Test error: 0.546444 / Layer sizes: 10 1 Training error: 0.472620 / Test error: 0.544463 / Layer sizes: 10 1 Training error: 0.471048 / Test error: 0.532671 / Layer sizes: 10 1 Training error: 0.456262 / Test error: 0.529675 / Layer sizes: 10 1 Training error: 0.451516 / Test error: 0.511065 / Layer sizes: 10 1 Training error: 0.434864 / Test error: 0.505047 / Layer sizes: 10 1 Training error: 0.419695 / Test error: 0.502000 / Layer sizes: 10 1 Training error: 0.407242 / Test error: 0.501774 / Layer sizes: 10 1 Training error: 0.402040 / Test error: 0.494933 / Layer sizes: 10 1 Training error: 0.400881 / Test error: 0.485169 / Layer sizes: 10 1 Training error: 0.413784 / Test error: 0.484702 / Layer sizes: 10 10 1 Training error: 0.409897 / Test error: 0.466776 / Layer sizes: 10 10 1 Training error: 0.383809 / Test error: 0.459807 / Layer sizes: 10 10 1 Training error: 0.376997 / Test error: 0.456445 / Layer sizes: 10 10 1 Training error: 0.324729 / Test error: 0.443537 / Layer sizes: 10 10 1 Training error: 0.353443 / Test error: 0.439373 / Layer sizes: 10 7 1 Training error: 0.328919 / Test error: 0.429534 / Layer sizes: 10 10 10 1 Training error: 0.326288 / Test error: 0.411125 / Layer sizes: 10 10 10 1 Training error: 0.283198 / Test error: 0.407947 / Layer sizes: 10 10 10 1 Training error: 0.281032 / Test error: 0.390825 / Layer sizes: 10 10 10 1 Training error: 0.279131 / Test error: 0.370867 / Layer sizes: 10 10 10 1 Training error: 0.259875 / Test error: 0.362735 / Layer sizes: 10 10 10 1 Training error: 0.185023 / Test error: 0.355607 / Layer sizes: 10 10 10 1 Training error: 0.184332 / Test error: 0.344089 / Layer sizes: 10 10 10 1 Training error: 0.183379 / Test error: 0.338600 / Layer sizes: 10 10 10 1 Training error: 0.172901 / Test error: 0.325167 / Layer sizes: 10 10 10 1 Training error: 0.163808 / Test error: 0.311050 / Layer sizes: 10 10 10 1 Training error: 0.107126 / Test error: 0.309933 / Layer sizes: 10 10 10 1 Training error: 0.106177 / Test error: 0.302483 / Layer sizes: 10 10 10 1 Training error: 0.104853 / Test error: 0.284128 / Layer sizes: 10 10 10 1 Training error: 0.102970 / Test error: 0.280495 / Layer sizes: 10 10 10 1 Training error: 0.102213 / Test error: 0.278228 / Layer sizes: 10 10 10 1 Training error: 0.102176 / Test error: 0.274507 / Layer sizes: 10 10 10 1 Training error: 0.062622 / Test error: 0.258132 / Layer sizes: 10 10 10 1 Training error: 0.060007 / Test error: 0.243910 / Layer sizes: 10 10 10 1 Training error: 0.024842 / Test error: 0.235841 / Layer sizes: 10 10 10 1 Training error: 0.021484 / Test error: 0.213989 / Layer sizes: 10 10 10 1 Training error: 0.017898 / Test error: 0.203228 / Layer sizes: 10 10 10 1 Training error: 0.017628 / Test error: 0.198421 / Layer sizes: 10 10 10 1 Training error: 0.047851 / Test error: 0.198145 / Layer sizes: 10 10 1 Training error: 0.047719 / Test error: 0.191796 / Layer sizes: 10 10 1 Training error: 0.047680 / Test error: 0.191668 / Layer sizes: 10 10 1 Training error: 0.047555 / Test error: 0.187923 / Layer sizes: 10 10 1 Training error: 0.047233 / Test error: 0.187082 / Layer sizes: 10 10 1 Training error: 0.047229 / Test error: 0.184946 / Layer sizes: 10 10 1 Training error: 0.047143 / Test error: 0.176130 / Layer sizes: 10 10 1 Training error: 0.042009 / Test error: 0.169560 / Layer sizes: 10 10 1 Training error: 0.039628 / Test error: 0.168916 / Layer sizes: 10 10 1 Training error: 0.039098 / Test error: 0.164399 / Layer sizes: 10 10 1 Training error: 0.036339 / Test error: 0.158735 / Layer sizes: 10 10 1 Training error: 0.033891 / Test error: 0.158490 / Layer sizes: 10 10 1 Training error: 0.031226 / Test error: 0.156469 / Layer sizes: 10 10 1 Training error: 0.029584 / Test error: 0.155253 / Layer sizes: 10 10 1 Training error: 0.027864 / Test error: 0.152686 / Layer sizes: 10 10 1 Training error: 0.025935 / Test error: 0.150943 / Layer sizes: 10 10 1 Training error: 0.025764 / Test error: 0.145290 / Layer sizes: 10 10 1 Training error: 0.022164 / Test error: 0.144813 / Layer sizes: 10 10 1 Training error: 0.022157 / Test error: 0.143811 / Layer sizes: 10 10 1 Training error: 0.022087 / Test error: 0.139170 / Layer sizes: 10 10 1 Training error: 0.021848 / Test error: 0.138358 / Layer sizes: 10 10 1 Training error: 0.021672 / Test error: 0.135820 / Layer sizes: 10 10 1 Training error: 0.021478 / Test error: 0.132598 / Layer sizes: 10 10 1 Training error: 0.001550 / Test error: 0.119322 / Layer sizes: 10 10 10 1 Training error: 0.001512 / Test error: 0.096729 / Layer sizes: 10 10 10 1 Training error: 0.001482 / Test error: 0.072477 / Layer sizes: 10 10 10 1 Training error: 0.001317 / Test error: 0.058490 / Layer sizes: 10 10 10 1 Training error: 0.001275 / Test error: 0.047007 / Layer sizes: 10 10 10 1 Training error: 0.001266 / Test error: 0.043400 / Layer sizes: 10 10 10 1 Training error: 0.001221 / Test error: 0.042673 / Layer sizes: 10 10 10 1 Training error: 0.001166 / Test error: 0.035105 / Layer sizes: 10 10 10 1 Training error: 0.001096 / Test error: 0.029721 / Layer sizes: 10 10 10 1 Training error: 0.000982 / Test error: 0.012927 / Layer sizes: 10 10 10 1 Training error: 0.000430 / Test error: 0.005798 / Layer sizes: 10 10 10 1 Training error: 0.000417 / Test error: 0.002330 / Layer sizes: 10 10 10 1 Training error: 0.000385 / Test error: 0.001018 / Layer sizes: 10 10 10 1 Training error: 0.000180 / Test error: 0.000406 / Layer sizes: 10 10 10 1 Training error: 0.000166 / Test error: 0.000336 / Layer sizes: 10 10 10 1 Training error: 0.000082 / Test error: 0.000212 / Layer sizes: 10 10 10 1 Training error: 0.000069 / Test error: 0.000175 / Layer sizes: 10 10 10 1 Training error: 0.000069 / Test error: 0.000143 / Layer sizes: 10 10 10 1 Training error: 0.000068 / Test error: 0.000133 / Layer sizes: 10 10 10 1 Training error: 0.000068 / Test error: 0.000117 / Layer sizes: 10 10 10 1 Training error: 0.000066 / Test error: 0.000108 / Layer sizes: 10 10 10 1 Training error: 0.000066 / Test error: 0.000103 / Layer sizes: 10 10 10 1 Training error: 0.000064 / Test error: 0.000099 / Layer sizes: 10 10 10 1 Training error: 0.000064 / Test error: 0.000098 / Layer sizes: 10 10 10 1 Training error: 0.000063 / Test error: 0.000093 / Layer sizes: 10 10 10 1 Training error: 0.000063 / Test error: 0.000092 / Layer sizes: 10 10 10 1 Training error: 0.000063 / Test error: 0.000089 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000001 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000001 / 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. 88.31 % correct. 11.69 % wrong. Limit: 17.16 %. 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.60991 + 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.r7KeEJ 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.dAyduM 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), 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.rpi6qN 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.dtQfbK find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.DxlTqJ 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 92.52user 0.52system 1:41.13elapsed 92%CPU (0avgtext+0avgdata 35972maxresident)k 0inputs+0outputs (0major+164402minor)pagefaults 0swaps 99.33user 3.41system 1:51.86elapsed 91%CPU (0avgtext+0avgdata 110196maxresident)k 0inputs+0outputs (0major+483543minor)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 2020-08-14 12:01:57.746547101 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)