<86>Jun 5 05:23:11 userdel[119004]: delete user 'rooter' <86>Jun 5 05:23:11 userdel[119004]: removed group 'rooter' owned by 'rooter' <86>Jun 5 05:23:11 userdel[119004]: removed shadow group 'rooter' owned by 'rooter' <86>Jun 5 05:23:11 groupadd[119021]: group added to /etc/group: name=rooter, GID=615 <86>Jun 5 05:23:11 groupadd[119021]: group added to /etc/gshadow: name=rooter <86>Jun 5 05:23:11 groupadd[119021]: new group: name=rooter, GID=615 <86>Jun 5 05:23:12 useradd[119029]: new user: name=rooter, UID=615, GID=615, home=/root, shell=/bin/bash <86>Jun 5 05:23:12 userdel[119059]: delete user 'builder' <86>Jun 5 05:23:12 userdel[119059]: removed group 'builder' owned by 'builder' <86>Jun 5 05:23:12 userdel[119059]: removed shadow group 'builder' owned by 'builder' <86>Jun 5 05:23:12 groupadd[119084]: group added to /etc/group: name=builder, GID=616 <86>Jun 5 05:23:12 groupadd[119084]: group added to /etc/gshadow: name=builder <86>Jun 5 05:23:12 groupadd[119084]: new group: name=builder, GID=616 <86>Jun 5 05:23:12 useradd[119096]: new user: name=builder, UID=616, GID=616, home=/usr/src, shell=/bin/bash <13>Jun 5 05:23:14 rpmi: libruby-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jun 5 05:23:14 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288187 installed <13>Jun 5 05:23:14 rpmi: libtasn1-4.13-alt2 1521133848 installed <13>Jun 5 05:23:14 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Jun 5 05:23:14 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342720 installed <13>Jun 5 05:23:14 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jun 5 05:23:14 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jun 5 05:23:14 rpmi: ca-certificates-2019.03.31-alt1 sisyphus+226302.100.1.1 1554055265 installed <13>Jun 5 05:23:14 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Jun 5 05:23:14 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288187 installed <13>Jun 5 05:23:14 rpmi: libcrypto1.1-1.1.1b-alt2 sisyphus+227249.100.2.1 1555667802 installed <13>Jun 5 05:23:15 rpmi: libssl1.1-1.1.1b-alt2 sisyphus+227249.100.2.1 1555667802 installed <13>Jun 5 05:23:15 rpmi: ruby-rubygems-update-3.0.3-alt1 sisyphus+226411.5400.6.1 1554381326 installed <13>Jun 5 05:23:15 rpmi: gem-did-you-mean-1.3.0-alt1 sisyphus+219587.100.1.1 1547808061 installed <13>Jun 5 05:23:15 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Jun 5 05:23:15 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Jun 5 05:23:15 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Jun 5 05:23:15 rpmi: rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Jun 5 05:23:15 rpmi: ruby-rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Jun 5 05:23:15 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Jun 5 05:23:15 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Jun 5 05:23:15 rpmi: gem-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jun 5 05:23:15 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 5 05:23:15 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 5 05:23:15 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jun 5 05:23:15 rpmi: ruby-stdlibs-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jun 5 05:23:15 rpmi: erb-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jun 5 05:23:15 rpmi: irb-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed <13>Jun 5 05:23:15 rpmi: ruby-bundler-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Jun 5 05:23:15 rpmi: bundle-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Jun 5 05:23:15 rpmi: ruby-2.5.5-alt3 sisyphus+231428.100.1.1 1559580112 installed Building target platforms: x86_64 Building for target x86_64 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: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.84960 + 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.84960 + 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' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -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] 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] 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] double *continuous_input_stats; ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:107: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 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] if (continuous_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (binary_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:770:8: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] int *continuous_input_cols; ^~~~~~~~~~~~~~~~~~~~~ auto-nng.c:872:91: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] for (i = 0; i < binary_input_count; i++) input_values[i] = values[binary_input_cols[i]]; ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.12743 + 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) Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.87645 + 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: 0.983011 / Test error: 0.962618 / Layer sizes: 10 1 Training error: 0.960895 / Test error: 0.943117 / Layer sizes: 10 1 Training error: 0.900606 / Test error: 0.902179 / Layer sizes: 10 1 Training error: 0.880475 / Test error: 0.885195 / Layer sizes: 10 1 Training error: 0.844983 / Test error: 0.876496 / Layer sizes: 10 1 Training error: 0.835400 / Test error: 0.853258 / Layer sizes: 10 1 Training error: 0.831387 / Test error: 0.845346 / Layer sizes: 10 1 Training error: 0.775805 / Test error: 0.837571 / Layer sizes: 10 1 Training error: 0.748902 / Test error: 0.819304 / Layer sizes: 10 1 Training error: 0.745609 / Test error: 0.808690 / Layer sizes: 10 1 Training error: 0.695306 / Test error: 0.771132 / Layer sizes: 10 1 Training error: 0.685224 / Test error: 0.765594 / Layer sizes: 10 1 Training error: 0.668728 / Test error: 0.732495 / Layer sizes: 10 1 Training error: 0.631569 / Test error: 0.699387 / Layer sizes: 10 1 Training error: 0.626965 / Test error: 0.689367 / Layer sizes: 10 1 Training error: 0.622968 / Test error: 0.674671 / Layer sizes: 10 1 Training error: 0.616423 / Test error: 0.658292 / Layer sizes: 10 1 Training error: 0.603474 / Test error: 0.651103 / Layer sizes: 10 1 Training error: 0.595579 / Test error: 0.649007 / Layer sizes: 10 1 Training error: 0.585498 / Test error: 0.646778 / Layer sizes: 10 1 Training error: 0.566767 / Test error: 0.638066 / Layer sizes: 10 1 Training error: 0.532043 / Test error: 0.606180 / Layer sizes: 10 1 Training error: 0.524001 / Test error: 0.602178 / Layer sizes: 10 1 Training error: 0.503659 / Test error: 0.587956 / Layer sizes: 10 1 Training error: 0.498509 / Test error: 0.577407 / Layer sizes: 10 1 Training error: 0.489059 / Test error: 0.576438 / Layer sizes: 10 1 Training error: 0.487417 / Test error: 0.576210 / Layer sizes: 10 1 Training error: 0.480551 / Test error: 0.573677 / Layer sizes: 10 1 Training error: 0.476288 / Test error: 0.572396 / Layer sizes: 10 1 Training error: 0.465080 / Test error: 0.561057 / Layer sizes: 10 1 Training error: 0.463175 / Test error: 0.558716 / Layer sizes: 10 1 Training error: 0.528540 / Test error: 0.556693 / Layer sizes: 10 10 1 Training error: 0.456571 / Test error: 0.556231 / Layer sizes: 10 1 Training error: 0.510361 / Test error: 0.542016 / Layer sizes: 10 10 1 Training error: 0.491105 / Test error: 0.533882 / Layer sizes: 10 10 1 Training error: 0.486890 / Test error: 0.528716 / Layer sizes: 10 10 1 Training error: 0.349775 / Test error: 0.513744 / Layer sizes: 10 10 1 Training error: 0.346392 / Test error: 0.507634 / Layer sizes: 10 10 1 Training error: 0.332803 / Test error: 0.489277 / Layer sizes: 10 10 1 Training error: 0.331968 / Test error: 0.481788 / Layer sizes: 10 10 1 Training error: 0.323534 / Test error: 0.480253 / Layer sizes: 10 10 1 Training error: 0.313218 / Test error: 0.473035 / Layer sizes: 10 10 1 Training error: 0.311632 / Test error: 0.472399 / Layer sizes: 10 10 1 Training error: 0.308420 / Test error: 0.472386 / Layer sizes: 10 10 1 Training error: 0.300087 / Test error: 0.470705 / Layer sizes: 10 10 1 Training error: 0.258772 / Test error: 0.462108 / Layer sizes: 10 9 4 1 Training error: 0.258481 / Test error: 0.455393 / Layer sizes: 10 9 4 1 Training error: 0.233572 / Test error: 0.447500 / Layer sizes: 10 9 4 1 Training error: 0.212301 / Test error: 0.441308 / Layer sizes: 10 10 1 Training error: 0.226748 / Test error: 0.441152 / Layer sizes: 10 9 4 1 Training error: 0.224955 / Test error: 0.427711 / Layer sizes: 10 9 4 1 Training error: 0.223965 / Test error: 0.423983 / Layer sizes: 10 9 4 1 Training error: 0.223236 / Test error: 0.417850 / Layer sizes: 10 9 4 1 Training error: 0.222789 / Test error: 0.415637 / Layer sizes: 10 9 4 1 Training error: 0.176440 / Test error: 0.412314 / Layer sizes: 10 10 1 Training error: 0.176204 / Test error: 0.397964 / Layer sizes: 10 10 1 Training error: 0.175779 / Test error: 0.394131 / Layer sizes: 10 10 1 Training error: 0.172843 / Test error: 0.389070 / Layer sizes: 10 10 1 Training error: 0.172146 / Test error: 0.388477 / Layer sizes: 10 10 1 Training error: 0.170667 / Test error: 0.384914 / Layer sizes: 10 10 1 Training error: 0.169215 / Test error: 0.384697 / Layer sizes: 10 10 1 Training error: 0.167307 / Test error: 0.375497 / Layer sizes: 10 10 1 Training error: 0.167161 / Test error: 0.372898 / Layer sizes: 10 10 1 Training error: 0.166504 / Test error: 0.371750 / Layer sizes: 10 10 1 Training error: 0.165743 / Test error: 0.365356 / Layer sizes: 10 10 1 Training error: 0.162007 / Test error: 0.364094 / Layer sizes: 10 10 1 Training error: 0.159143 / Test error: 0.363081 / Layer sizes: 10 10 1 Training error: 0.159029 / Test error: 0.355362 / Layer sizes: 10 10 1 Training error: 0.157615 / Test error: 0.349886 / Layer sizes: 10 10 1 Training error: 0.136188 / Test error: 0.347864 / Layer sizes: 10 10 1 Training error: 0.134652 / Test error: 0.344554 / Layer sizes: 10 10 1 Training error: 0.133525 / Test error: 0.340230 / Layer sizes: 10 10 1 Training error: 0.128770 / Test error: 0.339499 / Layer sizes: 10 10 1 Training error: 0.126589 / Test error: 0.330679 / Layer sizes: 10 10 1 Training error: 0.098372 / Test error: 0.323309 / Layer sizes: 10 10 1 Training error: 0.098052 / Test error: 0.318898 / Layer sizes: 10 10 1 Training error: 0.093686 / Test error: 0.315777 / Layer sizes: 10 10 1 Training error: 0.090071 / Test error: 0.315363 / Layer sizes: 10 10 1 Training error: 0.089201 / Test error: 0.312973 / Layer sizes: 10 10 1 Training error: 0.087695 / Test error: 0.303386 / Layer sizes: 10 10 1 Training error: 0.055999 / Test error: 0.298054 / Layer sizes: 10 10 1 Training error: 0.054844 / Test error: 0.298018 / Layer sizes: 10 10 1 Training error: 0.054016 / Test error: 0.287033 / Layer sizes: 10 10 1 Training error: 0.052150 / Test error: 0.284037 / Layer sizes: 10 10 1 Training error: 0.051823 / Test error: 0.283280 / Layer sizes: 10 10 1 Training error: 0.016800 / Test error: 0.268333 / Layer sizes: 10 10 1 Training error: 0.016599 / Test error: 0.266225 / Layer sizes: 10 10 1 Training error: 0.016541 / Test error: 0.264268 / Layer sizes: 10 10 1 Training error: 0.016207 / Test error: 0.263490 / Layer sizes: 10 10 1 Training error: 0.015186 / Test error: 0.262482 / Layer sizes: 10 10 1 Training error: 0.014986 / Test error: 0.257587 / Layer sizes: 10 10 1 Training error: 0.014799 / Test error: 0.253655 / Layer sizes: 10 10 1 Training error: 0.013048 / Test error: 0.249316 / Layer sizes: 10 10 1 Training error: 0.012996 / Test error: 0.243149 / Layer sizes: 10 10 1 Training error: 0.012988 / Test error: 0.238592 / Layer sizes: 10 10 1 Training error: 0.011891 / Test error: 0.235511 / Layer sizes: 10 10 1 Training error: 0.011639 / Test error: 0.227866 / Layer sizes: 10 10 1 Training error: 0.011544 / Test error: 0.222651 / Layer sizes: 10 10 1 Training error: 0.011504 / Test error: 0.216866 / Layer sizes: 10 10 1 Training error: 0.011474 / Test error: 0.216263 / Layer sizes: 10 10 1 Training error: 0.010361 / Test error: 0.214565 / Layer sizes: 10 10 1 Training error: 0.010340 / Test error: 0.213552 / Layer sizes: 10 10 1 Training error: 0.010258 / Test error: 0.211136 / Layer sizes: 10 10 1 Training error: 0.010201 / Test error: 0.203913 / Layer sizes: 10 10 1 Training error: 0.010113 / Test error: 0.198801 / Layer sizes: 10 10 1 Training error: 0.010067 / Test error: 0.195199 / Layer sizes: 10 10 1 Training error: 0.009582 / Test error: 0.190052 / Layer sizes: 10 10 1 Training error: 0.008927 / Test error: 0.185021 / Layer sizes: 10 10 1 Training error: 0.008761 / Test error: 0.176205 / Layer sizes: 10 10 1 Training error: 0.008698 / Test error: 0.174504 / Layer sizes: 10 10 1 Training error: 0.008671 / Test error: 0.168179 / Layer sizes: 10 10 1 Training error: 0.000003 / Test error: 0.166197 / Layer sizes: 10 9 4 1 Training error: 0.000003 / Test error: 0.165182 / Layer sizes: 10 9 4 1 Training error: 0.000003 / Test error: 0.155506 / Layer sizes: 10 9 4 1 Training error: 0.000003 / Test error: 0.124677 / Layer sizes: 10 9 4 1 Training error: 0.000002 / Test error: 0.122350 / Layer sizes: 10 9 4 1 Training error: 0.000002 / Test error: 0.082823 / Layer sizes: 10 9 4 1 Training error: 0.000002 / Test error: 0.041603 / 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 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. 87.96 % correct. 12.04 % wrong. Limit: 17.19 %. 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.4675 + 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.LZZSRh 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.UTDJCk find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) Requires: /lib64/ld-linux-x86-64.so.2, libc.so.6(GLIBC_2.14)(64bit), libc.so.6(GLIBC_2.2.5)(64bit), libc.so.6(GLIBC_2.3.4)(64bit), libc.so.6(GLIBC_2.4)(64bit), libm.so.6(GLIBC_2.2.5)(64bit), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.vgxstq 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.mtxiqz find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.XP01tL find-requires: running scripts (debuginfo) Requires: auto-nng = 1.7-alt2_3.1, /usr/lib/debug/lib64/ld-linux-x86-64.so.2.debug, debug64(libc.so.6), debug64(libm.so.6) Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-1.7-alt2_3.1.x86_64.rpm Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-debuginfo-1.7-alt2_3.1.x86_64.rpm 71.90user 0.43system 1:38.78elapsed 73%CPU (0avgtext+0avgdata 47168maxresident)k 0inputs+0outputs (0major+194673minor)pagefaults 0swaps 76.36user 2.64system 1:50.82elapsed 71%CPU (0avgtext+0avgdata 113556maxresident)k 0inputs+0outputs (0major+523091minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.x86_64.rpm.repo 2013-04-03 05:20:55.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.x86_64.rpm.hasher 2019-06-05 05:25:00.783116785 +0000 @@ -5,2 +5,3 @@ Requires: /lib64/ld-linux-x86-64.so.2 +Requires: libc.so.6(GLIBC_2.14)(64bit) Requires: libc.so.6(GLIBC_2.2.5)(64bit)