<86>May 8 13:35:54 userdel[2310651]: delete user 'rooter' <86>May 8 13:35:54 userdel[2310651]: removed group 'rooter' owned by 'rooter' <86>May 8 13:35:54 groupadd[2310689]: group added to /etc/group: name=rooter, GID=549 <86>May 8 13:35:54 groupadd[2310689]: group added to /etc/gshadow: name=rooter <86>May 8 13:35:54 groupadd[2310689]: new group: name=rooter, GID=549 <86>May 8 13:35:54 useradd[2310711]: new user: name=rooter, UID=549, GID=549, home=/root, shell=/bin/bash <86>May 8 13:35:54 userdel[2310750]: delete user 'builder' <86>May 8 13:35:54 userdel[2310750]: removed group 'builder' owned by 'builder' <86>May 8 13:35:54 userdel[2310750]: removed shadow group 'builder' owned by 'builder' <86>May 8 13:35:54 groupadd[2310780]: group added to /etc/group: name=builder, GID=550 <86>May 8 13:35:54 groupadd[2310780]: group added to /etc/gshadow: name=builder <86>May 8 13:35:54 groupadd[2310780]: new group: name=builder, GID=550 <86>May 8 13:35:54 useradd[2310800]: new user: name=builder, UID=550, GID=550, home=/usr/src, shell=/bin/bash <13>May 8 13:35:58 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 8 13:35:58 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>May 8 13:35:58 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>May 8 13:35:58 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>May 8 13:35:58 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 8 13:35:58 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 8 13:35:58 rpmi: ca-certificates-2020.01.23-alt1 sisyphus+244791.300.2.1 1580285500 installed <13>May 8 13:35:58 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>May 8 13:35:58 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 8 13:35:58 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>May 8 13:35:58 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>May 8 13:35:58 rpmi: libruby-2.7.0-alt1 sisyphus+248971.1120.47.1 1586260565 installed <13>May 8 13:35:58 rpmi: erb-0:2.7.0-alt1 sisyphus+248971.1120.47.1 1586260343 installed <13>May 8 13:35:58 rpmi: irb-2.7.0-alt1 sisyphus+248971.1120.47.1 1586260343 installed <13>May 8 13:35:58 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>May 8 13:35:58 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>May 8 13:35:58 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>May 8 13:35:58 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>May 8 13:35:58 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>May 8 13:35:58 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>May 8 13:35:58 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>May 8 13:35:58 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 8 13:35:58 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 8 13:35:58 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 8 13:35:58 rpmi: gem-1:3.1.2-alt1 sisyphus+248971.1120.47.1 1586260343 installed <13>May 8 13:35:58 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>May 8 13:36:00 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>May 8 13:36:00 rpmi: ruby-2.7.0-alt1 sisyphus+248971.1120.47.1 1586260565 installed <13>May 8 13:36:01 rpmi: ruby-stdlibs-2.7.0-alt1 sisyphus+248971.1120.47.1 1586260565 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.40796 + 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.40796 + 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.90238 + 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.16500 + 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: 0.979638 / Test error: 0.991456 / Layer sizes: 10 7 1 Training error: 0.976109 / Test error: 0.988973 / Layer sizes: 10 10 10 1 Training error: 0.968371 / Test error: 0.986000 / Layer sizes: 10 10 10 1 Training error: 0.957587 / Test error: 0.982264 / Layer sizes: 10 10 10 1 Training error: 0.950963 / Test error: 0.980662 / Layer sizes: 10 10 10 1 Training error: 0.975848 / Test error: 0.974957 / Layer sizes: 10 1 Training error: 0.945568 / Test error: 0.973959 / Layer sizes: 10 10 1 Training error: 0.935706 / Test error: 0.967327 / Layer sizes: 10 1 Training error: 0.893267 / Test error: 0.928327 / Layer sizes: 10 1 Training error: 0.872660 / Test error: 0.911671 / Layer sizes: 10 1 Training error: 0.843621 / Test error: 0.886815 / Layer sizes: 10 1 Training error: 0.830855 / Test error: 0.886150 / Layer sizes: 10 1 Training error: 0.815154 / Test error: 0.865984 / Layer sizes: 10 1 Training error: 0.797581 / Test error: 0.848477 / Layer sizes: 10 1 Training error: 0.776389 / Test error: 0.794895 / Layer sizes: 10 1 Training error: 0.768287 / Test error: 0.787166 / Layer sizes: 10 1 Training error: 0.740782 / Test error: 0.751678 / Layer sizes: 10 1 Training error: 0.663798 / Test error: 0.739586 / Layer sizes: 10 1 Training error: 0.640177 / Test error: 0.693997 / Layer sizes: 10 1 Training error: 0.616068 / Test error: 0.662768 / Layer sizes: 10 1 Training error: 0.607211 / Test error: 0.656550 / Layer sizes: 10 1 Training error: 0.574386 / Test error: 0.626507 / Layer sizes: 10 1 Training error: 0.565170 / Test error: 0.620798 / Layer sizes: 10 1 Training error: 0.563069 / Test error: 0.619050 / Layer sizes: 10 1 Training error: 0.559722 / Test error: 0.608444 / Layer sizes: 10 1 Training error: 0.552421 / Test error: 0.604257 / Layer sizes: 10 1 Training error: 0.550853 / Test error: 0.603124 / Layer sizes: 10 1 Training error: 0.546610 / Test error: 0.592109 / Layer sizes: 10 1 Training error: 0.536464 / Test error: 0.582070 / Layer sizes: 10 1 Training error: 0.535133 / Test error: 0.576560 / Layer sizes: 10 1 Training error: 0.510854 / Test error: 0.554863 / Layer sizes: 10 1 Training error: 0.508361 / Test error: 0.538213 / Layer sizes: 10 1 Training error: 0.508211 / Test error: 0.537293 / Layer sizes: 10 1 Training error: 0.505194 / Test error: 0.518708 / Layer sizes: 10 1 Training error: 0.502345 / Test error: 0.509358 / Layer sizes: 10 1 Training error: 0.496422 / Test error: 0.505188 / Layer sizes: 10 1 Training error: 0.492984 / Test error: 0.504880 / Layer sizes: 10 1 Training error: 0.486308 / Test error: 0.493210 / Layer sizes: 10 1 Training error: 0.457177 / Test error: 0.492972 / Layer sizes: 10 1 Training error: 0.452065 / Test error: 0.490310 / Layer sizes: 10 1 Training error: 0.450473 / Test error: 0.482247 / Layer sizes: 10 1 Training error: 0.446824 / Test error: 0.473611 / Layer sizes: 10 1 Training error: 0.444776 / Test error: 0.471125 / Layer sizes: 10 1 Training error: 0.438888 / Test error: 0.468035 / Layer sizes: 10 1 Training error: 0.433990 / Test error: 0.467453 / Layer sizes: 10 1 Training error: 0.454509 / Test error: 0.465059 / Layer sizes: 10 9 4 1 Training error: 0.448278 / Test error: 0.459725 / Layer sizes: 10 9 4 1 Training error: 0.422844 / Test error: 0.459458 / Layer sizes: 10 9 4 1 Training error: 0.401409 / Test error: 0.441948 / Layer sizes: 10 9 4 1 Training error: 0.398867 / Test error: 0.439964 / Layer sizes: 10 9 4 1 Training error: 0.386609 / Test error: 0.439048 / Layer sizes: 10 10 10 1 Training error: 0.380755 / Test error: 0.432436 / Layer sizes: 10 10 10 1 Training error: 0.371115 / Test error: 0.425027 / Layer sizes: 10 10 10 1 Training error: 0.368275 / Test error: 0.423441 / Layer sizes: 10 10 10 1 Training error: 0.361922 / Test error: 0.410059 / Layer sizes: 10 10 10 1 Training error: 0.358506 / Test error: 0.406737 / Layer sizes: 10 10 10 1 Training error: 0.350896 / Test error: 0.398837 / Layer sizes: 10 10 10 1 Training error: 0.334226 / Test error: 0.386641 / Layer sizes: 10 10 10 1 Training error: 0.164007 / Test error: 0.386608 / Layer sizes: 10 10 1 Training error: 0.118054 / Test error: 0.378978 / Layer sizes: 10 10 1 Training error: 0.117898 / Test error: 0.376001 / Layer sizes: 10 10 1 Training error: 0.115909 / Test error: 0.368484 / Layer sizes: 10 10 1 Training error: 0.112545 / Test error: 0.359951 / Layer sizes: 10 10 1 Training error: 0.112544 / Test error: 0.353091 / Layer sizes: 10 10 1 Training error: 0.112000 / Test error: 0.352186 / Layer sizes: 10 10 1 Training error: 0.108455 / Test error: 0.352180 / Layer sizes: 10 10 1 Training error: 0.160160 / Test error: 0.351906 / Layer sizes: 10 7 1 Training error: 0.107541 / Test error: 0.350867 / Layer sizes: 10 10 1 Training error: 0.106100 / Test error: 0.340836 / Layer sizes: 10 10 1 Training error: 0.154227 / Test error: 0.337538 / Layer sizes: 10 7 1 Training error: 0.105824 / Test error: 0.337138 / Layer sizes: 10 10 1 Training error: 0.105541 / Test error: 0.332479 / Layer sizes: 10 10 1 Training error: 0.153641 / Test error: 0.331179 / Layer sizes: 10 7 1 Training error: 0.151717 / Test error: 0.326904 / Layer sizes: 10 7 1 Training error: 0.141835 / Test error: 0.321674 / Layer sizes: 10 7 1 Training error: 0.139413 / Test error: 0.314387 / Layer sizes: 10 7 1 Training error: 0.137667 / Test error: 0.304078 / Layer sizes: 10 7 1 Training error: 0.137529 / Test error: 0.302755 / Layer sizes: 10 7 1 Training error: 0.137201 / Test error: 0.296082 / Layer sizes: 10 7 1 Training error: 0.134114 / Test error: 0.291961 / Layer sizes: 10 7 1 Training error: 0.133494 / Test error: 0.289261 / Layer sizes: 10 7 1 Training error: 0.133236 / Test error: 0.288565 / Layer sizes: 10 7 1 Training error: 0.132315 / Test error: 0.283550 / Layer sizes: 10 7 1 Training error: 0.127282 / Test error: 0.280569 / Layer sizes: 10 7 1 Training error: 0.127249 / Test error: 0.279450 / Layer sizes: 10 7 1 Training error: 0.117731 / Test error: 0.277504 / Layer sizes: 10 7 1 Training error: 0.117681 / Test error: 0.272534 / Layer sizes: 10 7 1 Training error: 0.114363 / Test error: 0.270351 / Layer sizes: 10 7 1 Training error: 0.113925 / Test error: 0.262141 / Layer sizes: 10 7 1 Training error: 0.113683 / Test error: 0.261967 / Layer sizes: 10 7 1 Training error: 0.112374 / Test error: 0.247851 / Layer sizes: 10 7 1 Training error: 0.110264 / Test error: 0.243152 / Layer sizes: 10 7 1 Training error: 0.108431 / Test error: 0.238868 / Layer sizes: 10 7 1 Training error: 0.062702 / Test error: 0.232176 / Layer sizes: 10 7 1 Training error: 0.062546 / Test error: 0.229579 / Layer sizes: 10 7 1 Training error: 0.092188 / Test error: 0.221776 / Layer sizes: 10 10 1 Training error: 0.091986 / Test error: 0.218090 / Layer sizes: 10 10 1 Training error: 0.091751 / Test error: 0.205361 / Layer sizes: 10 10 1 Training error: 0.082225 / Test error: 0.203183 / Layer sizes: 10 10 1 Training error: 0.043840 / Test error: 0.201242 / Layer sizes: 10 7 1 Training error: 0.043765 / Test error: 0.199444 / Layer sizes: 10 7 1 Training error: 0.043687 / Test error: 0.197605 / Layer sizes: 10 7 1 Training error: 0.042421 / Test error: 0.193927 / Layer sizes: 10 7 1 Training error: 0.041046 / Test error: 0.190827 / Layer sizes: 10 7 1 Training error: 0.040623 / Test error: 0.180554 / Layer sizes: 10 7 1 Training error: 0.040462 / Test error: 0.171334 / Layer sizes: 10 7 1 Training error: 0.040436 / Test error: 0.170721 / Layer sizes: 10 7 1 Training error: 0.039397 / Test error: 0.167887 / Layer sizes: 10 7 1 Training error: 0.039382 / Test error: 0.167780 / Layer sizes: 10 7 1 Training error: 0.039361 / Test error: 0.161039 / Layer sizes: 10 7 1 Training error: 0.034872 / Test error: 0.160891 / Layer sizes: 10 7 1 Training error: 0.034648 / Test error: 0.158299 / Layer sizes: 10 7 1 Training error: 0.034621 / Test error: 0.156601 / Layer sizes: 10 7 1 Training error: 0.033855 / Test error: 0.153386 / Layer sizes: 10 7 1 Training error: 0.033812 / Test error: 0.151005 / Layer sizes: 10 7 1 Training error: 0.018348 / Test error: 0.149710 / Layer sizes: 10 7 1 Training error: 0.018128 / Test error: 0.138308 / Layer sizes: 10 7 1 Training error: 0.019966 / Test error: 0.135619 / Layer sizes: 10 10 1 Training error: 0.014182 / Test error: 0.134110 / Layer sizes: 10 7 1 Training error: 0.013880 / Test error: 0.129115 / Layer sizes: 10 7 1 Training error: 0.013522 / Test error: 0.120777 / Layer sizes: 10 7 1 Training error: 0.013018 / Test error: 0.120399 / Layer sizes: 10 7 1 Training error: 0.012948 / Test error: 0.110463 / Layer sizes: 10 7 1 Training error: 0.008536 / Test error: 0.109222 / Layer sizes: 10 10 1 Training error: 0.008517 / Test error: 0.107023 / Layer sizes: 10 10 1 Training error: 0.008423 / Test error: 0.104244 / Layer sizes: 10 10 1 Training error: 0.003471 / Test error: 0.103337 / Layer sizes: 10 10 1 Training error: 0.003469 / Test error: 0.098398 / Layer sizes: 10 10 1 Training error: 0.003468 / Test error: 0.096301 / Layer sizes: 10 10 1 Training error: 0.003468 / Test error: 0.095350 / Layer sizes: 10 10 1 Training error: 0.003440 / Test error: 0.093476 / Layer sizes: 10 10 1 Training error: 0.003379 / Test error: 0.092400 / Layer sizes: 10 10 1 Training error: 0.003372 / Test error: 0.090000 / Layer sizes: 10 10 1 Training error: 0.003326 / Test error: 0.089769 / Layer sizes: 10 10 1 Training error: 0.003284 / Test error: 0.089420 / Layer sizes: 10 10 1 Training error: 0.002637 / Test error: 0.085391 / Layer sizes: 10 10 1 Training error: 0.002623 / Test error: 0.080815 / Layer sizes: 10 10 1 Training error: 0.002619 / Test error: 0.073007 / Layer sizes: 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. 83.52 % correct. 16.48 % wrong. Limit: 17.89 %. 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.49290 + 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.JEEE1Z 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.DQcJiZ 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.x2HfiX 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.1WWfpZ find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.ms42uY 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 65.50user 0.40system 1:41.68elapsed 64%CPU (0avgtext+0avgdata 35768maxresident)k 0inputs+0outputs (0major+160154minor)pagefaults 0swaps 71.64user 3.03system 1:58.33elapsed 63%CPU (0avgtext+0avgdata 108616maxresident)k 0inputs+0outputs (0major+477087minor)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 2020-05-08 13:37:50.687016333 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)