<86>Apr 25 05:57:39 userdel[3833637]: delete user 'rooter' <86>Apr 25 05:57:39 userdel[3833637]: removed group 'rooter' owned by 'rooter' <86>Apr 25 05:57:39 groupadd[3833642]: group added to /etc/group: name=rooter, GID=705 <86>Apr 25 05:57:39 groupadd[3833642]: group added to /etc/gshadow: name=rooter <86>Apr 25 05:57:39 groupadd[3833642]: new group: name=rooter, GID=705 <86>Apr 25 05:57:39 useradd[3833651]: new user: name=rooter, UID=705, GID=705, home=/root, shell=/bin/bash <86>Apr 25 05:57:39 userdel[3833666]: delete user 'builder' <86>Apr 25 05:57:39 userdel[3833666]: removed group 'builder' owned by 'builder' <86>Apr 25 05:57:39 userdel[3833666]: removed shadow group 'builder' owned by 'builder' <86>Apr 25 05:57:39 groupadd[3833678]: group added to /etc/group: name=builder, GID=706 <86>Apr 25 05:57:39 groupadd[3833678]: group added to /etc/gshadow: name=builder <86>Apr 25 05:57:39 groupadd[3833678]: new group: name=builder, GID=706 <86>Apr 25 05:57:39 useradd[3833686]: new user: name=builder, UID=706, GID=706, home=/usr/src, shell=/bin/bash <13>Apr 25 05:57:41 rpmi: libruby-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Apr 25 05:57:41 rpmi: libp11-kit-0.23.15-alt2 p9+254920.2400.19.1 1601385869 installed <13>Apr 25 05:57:41 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed <13>Apr 25 05:57:41 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Apr 25 05:57:41 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342720 installed <13>Apr 25 05:57:41 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Apr 25 05:57:41 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Apr 25 05:57:41 rpmi: ca-certificates-2020.06.29-alt1 p9+258899.100.3.1 1601998604 installed <13>Apr 25 05:57:41 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed <13>Apr 25 05:57:41 rpmi: p11-kit-trust-0.23.15-alt2 p9+254920.2400.19.1 1601385869 installed <13>Apr 25 05:57:41 rpmi: libcrypto1.1-1.1.1k-alt1 p9+268376.100.3.1 1616720932 installed <13>Apr 25 05:57:41 rpmi: libssl1.1-1.1.1k-alt1 p9+268376.100.3.1 1616720932 installed <13>Apr 25 05:57:41 rpmi: openssl-1.1.1k-alt1 p9+268376.100.3.1 1616720932 installed <13>Apr 25 05:57:41 rpmi: ruby-rubygems-update-3.0.4-alt1 p9+247371.35300.135.1 1590436206 installed <13>Apr 25 05:57:41 rpmi: gem-did-you-mean-1.3.0-alt2.1 p9+247371.40400.161.1 1591376055 installed <13>Apr 25 05:57:41 rpmi: gem-minitest-5.14.0-alt1.1 p9+247371.67710.170.1 1592235999 installed <13>Apr 25 05:57:41 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Apr 25 05:57:41 rpmi: gem-rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Apr 25 05:57:41 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Apr 25 05:57:41 rpmi: gem-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Apr 25 05:57:41 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 25 05:57:41 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 25 05:57:41 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Apr 25 05:57:41 rpmi: rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Apr 25 05:57:41 rpmi: erb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Apr 25 05:57:41 rpmi: irb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Apr 25 05:57:43 rpmi: gem-bundler-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Apr 25 05:57:43 rpmi: gem-test-unit-3.3.5-alt0.1 p9+247371.60440.162.1 1591424158 installed <13>Apr 25 05:57:43 rpmi: gem-power-assert-1.1.7-alt1 p9+247371.60200.162.1 1591424056 installed <13>Apr 25 05:57:43 rpmi: ruby-stdlibs-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Apr 25 05:57:43 rpmi: bundle-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Apr 25 05:57:43 rpmi: ruby-2.5.9-alt1 p9+261867.500.5.1 1606313941 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 (w1.gzdio) 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.38974 + 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.38974 + 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.37952 + 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) Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.37952 + 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: 0.995391 / Test error: 0.998580 / Layer sizes: 10 7 1 Training error: 0.993368 / Test error: 0.998564 / Layer sizes: 10 10 10 1 Training error: 0.992877 / Test error: 0.996695 / Layer sizes: 10 7 1 Training error: 0.991757 / Test error: 0.993135 / Layer sizes: 10 10 1 Training error: 0.988327 / Test error: 0.989486 / Layer sizes: 10 10 1 Training error: 0.975825 / Test error: 0.985244 / Layer sizes: 10 1 Training error: 0.959530 / Test error: 0.952515 / Layer sizes: 10 1 Training error: 0.933489 / Test error: 0.931868 / Layer sizes: 10 1 Training error: 0.926025 / Test error: 0.928968 / Layer sizes: 10 1 Training error: 0.888732 / Test error: 0.903766 / Layer sizes: 10 1 Training error: 0.847058 / Test error: 0.850805 / Layer sizes: 10 1 Training error: 0.832139 / Test error: 0.826070 / Layer sizes: 10 1 Training error: 0.810535 / Test error: 0.808053 / Layer sizes: 10 1 Training error: 0.802760 / Test error: 0.807257 / Layer sizes: 10 1 Training error: 0.800369 / Test error: 0.807163 / Layer sizes: 10 1 Training error: 0.788143 / Test error: 0.802886 / Layer sizes: 10 1 Training error: 0.784400 / Test error: 0.790143 / Layer sizes: 10 1 Training error: 0.782812 / Test error: 0.788367 / Layer sizes: 10 1 Training error: 0.751440 / Test error: 0.749683 / Layer sizes: 10 1 Training error: 0.723768 / Test error: 0.704297 / Layer sizes: 10 1 Training error: 0.710577 / Test error: 0.701665 / Layer sizes: 10 1 Training error: 0.707205 / Test error: 0.695899 / Layer sizes: 10 1 Training error: 0.700491 / Test error: 0.689024 / Layer sizes: 10 1 Training error: 0.689085 / Test error: 0.674136 / Layer sizes: 10 1 Training error: 0.657363 / Test error: 0.659361 / Layer sizes: 10 1 Training error: 0.640945 / Test error: 0.643227 / Layer sizes: 10 1 Training error: 0.638344 / Test error: 0.627680 / Layer sizes: 10 1 Training error: 0.629807 / Test error: 0.620451 / Layer sizes: 10 1 Training error: 0.629465 / Test error: 0.616829 / Layer sizes: 10 1 Training error: 0.618576 / Test error: 0.604635 / Layer sizes: 10 1 Training error: 0.606206 / Test error: 0.589729 / Layer sizes: 10 1 Training error: 0.600841 / Test error: 0.584174 / Layer sizes: 10 1 Training error: 0.593400 / Test error: 0.558344 / Layer sizes: 10 1 Training error: 0.579228 / Test error: 0.550033 / Layer sizes: 10 10 1 Training error: 0.588319 / Test error: 0.524375 / Layer sizes: 10 1 Training error: 0.539847 / Test error: 0.513282 / Layer sizes: 10 10 1 Training error: 0.536341 / Test error: 0.510696 / Layer sizes: 10 10 1 Training error: 0.553698 / Test error: 0.496934 / Layer sizes: 10 1 Training error: 0.548131 / Test error: 0.492955 / Layer sizes: 10 1 Training error: 0.534845 / Test error: 0.480219 / Layer sizes: 10 1 Training error: 0.503580 / Test error: 0.465124 / Layer sizes: 10 10 1 Training error: 0.533899 / Test error: 0.463586 / Layer sizes: 10 1 Training error: 0.503084 / Test error: 0.456419 / Layer sizes: 10 10 1 Training error: 0.494894 / Test error: 0.432971 / Layer sizes: 10 10 1 Training error: 0.512419 / Test error: 0.431643 / Layer sizes: 10 1 Training error: 0.512389 / Test error: 0.426151 / Layer sizes: 10 1 Training error: 0.509344 / Test error: 0.423392 / Layer sizes: 10 1 Training error: 0.449703 / Test error: 0.417375 / Layer sizes: 10 10 1 Training error: 0.445158 / Test error: 0.408080 / Layer sizes: 10 10 1 Training error: 0.435755 / Test error: 0.394092 / Layer sizes: 10 10 1 Training error: 0.428057 / Test error: 0.377030 / Layer sizes: 10 10 1 Training error: 0.423064 / Test error: 0.356959 / Layer sizes: 10 10 1 Training error: 0.416215 / Test error: 0.350883 / Layer sizes: 10 10 1 Training error: 0.363750 / Test error: 0.346046 / Layer sizes: 10 10 1 Training error: 0.361910 / Test error: 0.343622 / Layer sizes: 10 10 1 Training error: 0.340319 / Test error: 0.325936 / Layer sizes: 10 10 1 Training error: 0.301313 / Test error: 0.323270 / Layer sizes: 10 10 1 Training error: 0.278169 / Test error: 0.318720 / Layer sizes: 10 10 1 Training error: 0.270381 / Test error: 0.313309 / Layer sizes: 10 10 1 Training error: 0.267898 / Test error: 0.304473 / Layer sizes: 10 10 1 Training error: 0.265569 / Test error: 0.298557 / Layer sizes: 10 10 1 Training error: 0.264680 / Test error: 0.289650 / Layer sizes: 10 10 1 Training error: 0.255796 / Test error: 0.285435 / Layer sizes: 10 10 1 Training error: 0.251210 / Test error: 0.284291 / Layer sizes: 10 10 1 Training error: 0.203053 / Test error: 0.279712 / Layer sizes: 10 10 1 Training error: 0.144645 / Test error: 0.277205 / Layer sizes: 10 10 1 Training error: 0.143353 / Test error: 0.256341 / Layer sizes: 10 10 1 Training error: 0.141108 / Test error: 0.247830 / Layer sizes: 10 10 1 Training error: 0.128659 / Test error: 0.246537 / Layer sizes: 10 10 1 Training error: 0.128504 / Test error: 0.236819 / Layer sizes: 10 10 1 Training error: 0.114949 / Test error: 0.227114 / Layer sizes: 10 10 1 Training error: 0.112072 / Test error: 0.226909 / Layer sizes: 10 10 1 Training error: 0.110092 / Test error: 0.216052 / Layer sizes: 10 10 1 Training error: 0.107058 / Test error: 0.208072 / Layer sizes: 10 10 1 Training error: 0.103666 / Test error: 0.206290 / Layer sizes: 10 10 1 Training error: 0.103285 / Test error: 0.202548 / Layer sizes: 10 10 1 Training error: 0.095393 / Test error: 0.191544 / Layer sizes: 10 10 1 Training error: 0.078798 / Test error: 0.189321 / Layer sizes: 10 10 1 Training error: 0.078781 / Test error: 0.171342 / Layer sizes: 10 10 1 Training error: 0.049277 / Test error: 0.158275 / Layer sizes: 10 10 1 Training error: 0.048992 / Test error: 0.154088 / Layer sizes: 10 10 1 Training error: 0.039388 / Test error: 0.151104 / Layer sizes: 10 10 1 Training error: 0.037887 / Test error: 0.148402 / Layer sizes: 10 10 1 Training error: 0.037512 / Test error: 0.141306 / Layer sizes: 10 10 1 Training error: 0.022200 / Test error: 0.141152 / Layer sizes: 10 10 1 Training error: 0.021859 / Test error: 0.138605 / Layer sizes: 10 10 1 Training error: 0.013069 / Test error: 0.137565 / Layer sizes: 10 10 1 Training error: 0.012913 / Test error: 0.137426 / Layer sizes: 10 10 1 Training error: 0.012753 / Test error: 0.116602 / Layer sizes: 10 10 1 Training error: 0.010532 / Test error: 0.108289 / Layer sizes: 10 10 1 Training error: 0.010426 / Test error: 0.094125 / Layer sizes: 10 10 1 Training error: 0.009828 / Test error: 0.078354 / Layer sizes: 10 10 1 Training error: 0.009758 / Test error: 0.077677 / Layer sizes: 10 10 1 Training error: 0.009549 / Test error: 0.077460 / Layer sizes: 10 10 1 Training error: 0.009462 / Test error: 0.077234 / Layer sizes: 10 10 1 Training error: 0.009212 / Test error: 0.065473 / Layer sizes: 10 10 1 Training error: 0.009092 / Test error: 0.062549 / Layer sizes: 10 10 1 Training error: 0.008876 / Test error: 0.061881 / Layer sizes: 10 10 1 Training error: 0.008822 / Test error: 0.058581 / Layer sizes: 10 10 1 Training error: 0.008779 / Test error: 0.053621 / Layer sizes: 10 10 1 Training error: 0.008231 / Test error: 0.052537 / Layer sizes: 10 10 1 Training error: 0.008217 / Test error: 0.052454 / Layer sizes: 10 10 1 Training error: 0.008167 / Test error: 0.052004 / Layer sizes: 10 10 1 Training error: 0.007965 / Test error: 0.046312 / Layer sizes: 10 10 1 Training error: 0.007837 / Test error: 0.045496 / Layer sizes: 10 10 1 Training error: 0.007731 / Test error: 0.045449 / Layer sizes: 10 10 1 Training error: 0.007679 / Test error: 0.043849 / Layer sizes: 10 10 1 Training error: 0.003148 / Test error: 0.043067 / Layer sizes: 10 10 1 Training error: 0.003137 / Test error: 0.040695 / Layer sizes: 10 10 1 Training error: 0.003051 / Test error: 0.038938 / Layer sizes: 10 10 1 Training error: 0.003005 / Test error: 0.036216 / Layer sizes: 10 10 1 Training error: 0.002081 / Test error: 0.035637 / Layer sizes: 10 10 1 Training error: 0.002028 / Test error: 0.032655 / Layer sizes: 10 10 1 Training error: 0.002021 / Test error: 0.027020 / Layer sizes: 10 10 1 Training error: 0.002020 / Test error: 0.021245 / Layer sizes: 10 10 1 Training error: 0.001691 / Test error: 0.019076 / Layer sizes: 10 10 1 Training error: 0.001664 / Test error: 0.016522 / Layer sizes: 10 10 1 Training error: 0.001655 / Test error: 0.009484 / Layer sizes: 10 10 1 Training error: 0.001416 / Test error: 0.009454 / Layer sizes: 10 10 1 Training error: 0.001406 / Test error: 0.007969 / Layer sizes: 10 10 1 Training error: 0.001404 / Test error: 0.007400 / Layer sizes: 10 10 1 Training error: 0.001403 / Test error: 0.005501 / Layer sizes: 10 10 1 Training error: 0.001403 / Test error: 0.004993 / Layer sizes: 10 10 1 Training error: 0.001391 / Test error: 0.004565 / Layer sizes: 10 10 1 Training error: 0.001313 / Test error: 0.004465 / Layer sizes: 10 10 1 Training error: 0.001131 / Test error: 0.003077 / Layer sizes: 10 10 1 Training error: 0.001123 / Test error: 0.002881 / Layer sizes: 10 10 1 Training error: 0.001116 / Test error: 0.002430 / Layer sizes: 10 10 1 Training error: 0.000761 / Test error: 0.002428 / Layer sizes: 10 10 1 Training error: 0.000761 / Test error: 0.002226 / Layer sizes: 10 10 1 Training error: 0.000753 / Test error: 0.002205 / Layer sizes: 10 10 1 Training error: 0.000746 / Test error: 0.002098 / Layer sizes: 10 10 1 Training error: 0.000744 / Test error: 0.001968 / Layer sizes: 10 10 1 Training error: 0.000717 / Test error: 0.001787 / Layer sizes: 10 10 1 Training error: 0.000703 / Test error: 0.001711 / Layer sizes: 10 10 1 Training error: 0.000701 / Test error: 0.001605 / Layer sizes: 10 10 1 Training error: 0.000687 / Test error: 0.001579 / Layer sizes: 10 10 1 Training error: 0.000158 / Test error: 0.000798 / Layer sizes: 10 10 1 Training error: 0.000157 / Test error: 0.000693 / Layer sizes: 10 10 1 Training error: 0.000157 / Test error: 0.000594 / Layer sizes: 10 10 1 Training error: 0.000006 / Test error: 0.000020 / Layer sizes: 10 10 1 Training error: 0.000005 / Test error: 0.000015 / 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. 91.19 % correct. 8.81 % wrong. Limit: 17.53 %. 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.42075 + 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.715l6l 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.lRu7jt find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks,systemd-services) 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.pRrHDD 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.ZLPD3Q find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.vyoez7 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 (w2.lzdio) Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-debuginfo-1.7-alt2_3.1.x86_64.rpm (w2.lzdio) 91.50user 0.55system 1:37.83elapsed 94%CPU (0avgtext+0avgdata 46848maxresident)k 0inputs+0outputs (0major+201097minor)pagefaults 0swaps 96.94user 3.10system 1:45.62elapsed 94%CPU (0avgtext+0avgdata 114860maxresident)k 0inputs+0outputs (0major+530478minor)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 2021-04-25 05:59:23.729973783 +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)