<86>Feb 21 14:00:57 userdel[2766135]: delete user 'rooter' <86>Feb 21 14:00:57 userdel[2766135]: removed group 'rooter' owned by 'rooter' <86>Feb 21 14:00:57 userdel[2766135]: removed shadow group 'rooter' owned by 'rooter' <86>Feb 21 14:00:57 groupadd[2766141]: group added to /etc/group: name=rooter, GID=531 <86>Feb 21 14:00:57 groupadd[2766141]: group added to /etc/gshadow: name=rooter <86>Feb 21 14:00:57 groupadd[2766141]: new group: name=rooter, GID=531 <86>Feb 21 14:00:57 useradd[2766147]: new user: name=rooter, UID=531, GID=531, home=/root, shell=/bin/bash <86>Feb 21 14:00:57 userdel[2766160]: delete user 'builder' <86>Feb 21 14:00:57 userdel[2766160]: removed group 'builder' owned by 'builder' <86>Feb 21 14:00:57 userdel[2766160]: removed shadow group 'builder' owned by 'builder' <86>Feb 21 14:00:57 groupadd[2766167]: group added to /etc/group: name=builder, GID=532 <86>Feb 21 14:00:57 groupadd[2766167]: group added to /etc/gshadow: name=builder <86>Feb 21 14:00:57 groupadd[2766167]: new group: name=builder, GID=532 <86>Feb 21 14:00:57 useradd[2766175]: new user: name=builder, UID=532, GID=532, home=/usr/src, shell=/bin/bash <13>Feb 21 14:01:01 rpmi: libruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Feb 21 14:01:01 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Feb 21 14:01:01 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Feb 21 14:01:01 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Feb 21 14:01:01 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Feb 21 14:01:01 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Feb 21 14:01:01 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Feb 21 14:01:01 rpmi: ca-certificates-2020.01.23-alt1 sisyphus+244791.300.2.1 1580285500 installed <13>Feb 21 14:01:01 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Feb 21 14:01:01 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>Feb 21 14:01:01 rpmi: libcrypto1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Feb 21 14:01:01 rpmi: libssl1.1-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Feb 21 14:01:01 rpmi: openssl-1.1.1d-alt1.1 sisyphus+237931.100.2.1 1569235729 installed <13>Feb 21 14:01:01 rpmi: ruby-rubygems-update-3.0.4-alt1 sisyphus+231621.240.57.1 1567243682 installed <13>Feb 21 14:01:01 rpmi: gem-did-you-mean-1.3.0-alt2.1 sisyphus+237310.1100.2.1 1568211939 installed <13>Feb 21 14:01:01 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Feb 21 14:01:01 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Feb 21 14:01:01 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>Feb 21 14:01:01 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>Feb 21 14:01:01 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Feb 21 14:01:01 rpmi: gem-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Feb 21 14:01:01 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Feb 21 14:01:01 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Feb 21 14:01:01 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Feb 21 14:01:01 rpmi: erb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Feb 21 14:01:01 rpmi: irb-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211289 installed <13>Feb 21 14:01:01 rpmi: rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Feb 21 14:01:01 rpmi: ruby-rake-12.3.3-alt1 sisyphus+238087.3100.11.1 1569616589 installed <13>Feb 21 14:01:02 rpmi: ruby-stdlibs-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Feb 21 14:01:02 rpmi: bundle-2.0.2-alt2 sisyphus+237310.400.2.1 1568211679 installed <13>Feb 21 14:01:02 rpmi: ruby-2.5.5-alt4.1 sisyphus+237310.40.2.1 1568211319 installed <13>Feb 21 14:01:04 rpmi: ruby-bundler-2.0.2-alt2 sisyphus+237310.400.2.1 1568211679 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.21513 + 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.21513 + 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.51722 + 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.69733 + 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: 0.996797 / Test error: 0.997296 / Layer sizes: 10 3 1 Training error: 0.994731 / Test error: 0.996441 / Layer sizes: 10 3 1 Training error: 0.983940 / Test error: 0.986143 / Layer sizes: 10 7 1 Training error: 0.981817 / Test error: 0.984192 / Layer sizes: 10 9 4 1 Training error: 0.978236 / Test error: 0.981131 / Layer sizes: 10 7 1 Training error: 0.968772 / Test error: 0.972816 / Layer sizes: 10 9 4 1 Training error: 0.970635 / Test error: 0.969354 / Layer sizes: 10 7 1 Training error: 0.955468 / Test error: 0.951806 / Layer sizes: 10 7 1 Training error: 0.940154 / Test error: 0.939945 / Layer sizes: 10 7 1 Training error: 0.926445 / Test error: 0.930086 / Layer sizes: 10 7 1 Training error: 0.918324 / Test error: 0.928752 / Layer sizes: 10 7 1 Training error: 0.905673 / Test error: 0.927182 / Layer sizes: 10 10 1 Training error: 0.902018 / Test error: 0.919775 / Layer sizes: 10 10 1 Training error: 0.873798 / Test error: 0.916997 / Layer sizes: 10 1 Training error: 0.893564 / Test error: 0.909743 / Layer sizes: 10 10 1 Training error: 0.885406 / Test error: 0.905981 / Layer sizes: 10 10 1 Training error: 0.840571 / Test error: 0.900054 / Layer sizes: 10 1 Training error: 0.866027 / Test error: 0.894905 / Layer sizes: 10 7 1 Training error: 0.827396 / Test error: 0.888223 / Layer sizes: 10 1 Training error: 0.861913 / Test error: 0.882411 / Layer sizes: 10 7 1 Training error: 0.823966 / Test error: 0.878427 / Layer sizes: 10 1 Training error: 0.851931 / Test error: 0.862271 / Layer sizes: 10 7 1 Training error: 0.799938 / Test error: 0.856699 / Layer sizes: 10 1 Training error: 0.786903 / Test error: 0.852249 / Layer sizes: 10 1 Training error: 0.836273 / Test error: 0.842610 / Layer sizes: 10 7 1 Training error: 0.820197 / Test error: 0.828543 / Layer sizes: 10 7 1 Training error: 0.815366 / Test error: 0.817506 / Layer sizes: 10 7 1 Training error: 0.734280 / Test error: 0.793237 / Layer sizes: 10 1 Training error: 0.731567 / Test error: 0.783206 / Layer sizes: 10 1 Training error: 0.722939 / Test error: 0.766051 / Layer sizes: 10 1 Training error: 0.707478 / Test error: 0.755478 / Layer sizes: 10 1 Training error: 0.696235 / Test error: 0.749535 / Layer sizes: 10 1 Training error: 0.689412 / Test error: 0.742683 / Layer sizes: 10 1 Training error: 0.664493 / Test error: 0.724913 / Layer sizes: 10 1 Training error: 0.657017 / Test error: 0.713398 / Layer sizes: 10 1 Training error: 0.647517 / Test error: 0.705614 / Layer sizes: 10 1 Training error: 0.642206 / Test error: 0.702219 / Layer sizes: 10 1 Training error: 0.640678 / Test error: 0.701331 / Layer sizes: 10 1 Training error: 0.624947 / Test error: 0.681577 / Layer sizes: 10 1 Training error: 0.616034 / Test error: 0.678845 / Layer sizes: 10 1 Training error: 0.593480 / Test error: 0.677757 / Layer sizes: 10 1 Training error: 0.581682 / Test error: 0.670064 / Layer sizes: 10 1 Training error: 0.573239 / Test error: 0.663408 / Layer sizes: 10 1 Training error: 0.560045 / Test error: 0.634058 / Layer sizes: 10 1 Training error: 0.549072 / Test error: 0.629073 / Layer sizes: 10 1 Training error: 0.544680 / Test error: 0.627707 / Layer sizes: 10 1 Training error: 0.539664 / Test error: 0.618572 / Layer sizes: 10 1 Training error: 0.536066 / Test error: 0.610565 / Layer sizes: 10 1 Training error: 0.536043 / Test error: 0.598140 / Layer sizes: 10 1 Training error: 0.533766 / Test error: 0.584166 / Layer sizes: 10 1 Training error: 0.521881 / Test error: 0.577636 / Layer sizes: 10 1 Training error: 0.512272 / Test error: 0.555631 / Layer sizes: 10 1 Training error: 0.512080 / Test error: 0.553449 / Layer sizes: 10 1 Training error: 0.470582 / Test error: 0.545379 / Layer sizes: 10 1 Training error: 0.465711 / Test error: 0.543857 / Layer sizes: 10 1 Training error: 0.462738 / Test error: 0.533543 / Layer sizes: 10 1 Training error: 0.406859 / Test error: 0.524402 / Layer sizes: 10 7 1 Training error: 0.439082 / Test error: 0.523417 / Layer sizes: 10 10 1 Training error: 0.403925 / Test error: 0.514907 / Layer sizes: 10 7 1 Training error: 0.396691 / Test error: 0.514547 / Layer sizes: 10 7 1 Training error: 0.394546 / Test error: 0.505843 / Layer sizes: 10 7 1 Training error: 0.394163 / Test error: 0.491077 / Layer sizes: 10 7 1 Training error: 0.369128 / Test error: 0.491015 / Layer sizes: 10 7 1 Training error: 0.367111 / Test error: 0.485961 / Layer sizes: 10 7 1 Training error: 0.362860 / Test error: 0.485694 / Layer sizes: 10 7 1 Training error: 0.347722 / Test error: 0.482000 / Layer sizes: 10 7 1 Training error: 0.341192 / Test error: 0.481404 / Layer sizes: 10 7 1 Training error: 0.338840 / Test error: 0.478379 / Layer sizes: 10 7 1 Training error: 0.331240 / Test error: 0.475108 / Layer sizes: 10 7 1 Training error: 0.316611 / Test error: 0.470327 / Layer sizes: 10 7 1 Training error: 0.315304 / Test error: 0.465792 / Layer sizes: 10 7 1 Training error: 0.310387 / Test error: 0.462862 / Layer sizes: 10 7 1 Training error: 0.308114 / Test error: 0.459190 / Layer sizes: 10 7 1 Training error: 0.284873 / Test error: 0.453718 / Layer sizes: 10 7 1 Training error: 0.273207 / Test error: 0.447400 / Layer sizes: 10 7 1 Training error: 0.239095 / Test error: 0.447183 / Layer sizes: 10 7 1 Training error: 0.238435 / Test error: 0.446909 / Layer sizes: 10 7 1 Training error: 0.234454 / Test error: 0.446082 / Layer sizes: 10 7 1 Training error: 0.229855 / Test error: 0.437152 / Layer sizes: 10 7 1 Training error: 0.228813 / Test error: 0.432003 / Layer sizes: 10 7 1 Training error: 0.227823 / Test error: 0.425798 / Layer sizes: 10 7 1 Training error: 0.227505 / Test error: 0.419710 / Layer sizes: 10 7 1 Training error: 0.226337 / Test error: 0.417954 / Layer sizes: 10 7 1 Training error: 0.223518 / Test error: 0.414755 / Layer sizes: 10 7 1 Training error: 0.221640 / Test error: 0.411754 / Layer sizes: 10 7 1 Training error: 0.189273 / Test error: 0.410804 / Layer sizes: 10 7 1 Training error: 0.188108 / Test error: 0.402123 / Layer sizes: 10 7 1 Training error: 0.180792 / Test error: 0.392821 / Layer sizes: 10 7 1 Training error: 0.178961 / Test error: 0.390819 / Layer sizes: 10 7 1 Training error: 0.169680 / Test error: 0.389697 / Layer sizes: 10 7 1 Training error: 0.167468 / Test error: 0.381688 / Layer sizes: 10 7 1 Training error: 0.167304 / Test error: 0.361741 / Layer sizes: 10 7 1 Training error: 0.132766 / Test error: 0.354589 / Layer sizes: 10 7 1 Training error: 0.131242 / Test error: 0.349801 / Layer sizes: 10 7 1 Training error: 0.130655 / Test error: 0.349292 / Layer sizes: 10 7 1 Training error: 0.119234 / Test error: 0.343635 / Layer sizes: 10 7 1 Training error: 0.116343 / Test error: 0.336183 / Layer sizes: 10 7 1 Training error: 0.116330 / Test error: 0.328183 / Layer sizes: 10 7 1 Training error: 0.115007 / Test error: 0.327305 / Layer sizes: 10 7 1 Training error: 0.114699 / Test error: 0.323567 / Layer sizes: 10 7 1 Training error: 0.113602 / Test error: 0.315654 / Layer sizes: 10 7 1 Training error: 0.113425 / Test error: 0.302507 / Layer sizes: 10 7 1 Training error: 0.107057 / Test error: 0.295825 / Layer sizes: 10 7 1 Training error: 0.102666 / Test error: 0.293035 / Layer sizes: 10 7 1 Training error: 0.100288 / Test error: 0.291079 / Layer sizes: 10 7 1 Training error: 0.098190 / Test error: 0.272935 / Layer sizes: 10 7 1 Training error: 0.097417 / Test error: 0.267581 / Layer sizes: 10 7 1 Training error: 0.092689 / Test error: 0.258955 / Layer sizes: 10 7 1 Training error: 0.091783 / Test error: 0.257398 / Layer sizes: 10 7 1 Training error: 0.120538 / Test error: 0.256050 / Layer sizes: 10 3 3 1 Training error: 0.119885 / Test error: 0.240577 / Layer sizes: 10 3 3 1 Training error: 0.112069 / Test error: 0.239943 / Layer sizes: 10 3 1 Training error: 0.109700 / Test error: 0.225217 / Layer sizes: 10 3 1 Training error: 0.104629 / Test error: 0.214780 / Layer sizes: 10 3 1 Training error: 0.102665 / Test error: 0.206372 / Layer sizes: 10 3 1 Training error: 0.101932 / Test error: 0.201769 / Layer sizes: 10 3 1 Training error: 0.100548 / Test error: 0.192232 / Layer sizes: 10 3 1 Training error: 0.089810 / Test error: 0.187484 / Layer sizes: 10 3 1 Training error: 0.065060 / Test error: 0.185640 / Layer sizes: 10 3 1 Training error: 0.063198 / Test error: 0.185394 / Layer sizes: 10 3 1 Training error: 0.062986 / Test error: 0.182616 / Layer sizes: 10 3 1 Training error: 0.061108 / Test error: 0.165683 / Layer sizes: 10 3 1 Training error: 0.007384 / Test error: 0.164226 / Layer sizes: 10 3 1 Training error: 0.007266 / Test error: 0.160980 / Layer sizes: 10 3 1 Training error: 0.007200 / Test error: 0.156098 / Layer sizes: 10 3 1 Training error: 0.005110 / Test error: 0.154789 / Layer sizes: 10 3 1 Training error: 0.005103 / Test error: 0.152846 / Layer sizes: 10 3 1 Training error: 0.008239 / Test error: 0.149723 / Layer sizes: 10 7 1 Training error: 0.003841 / Test error: 0.139214 / Layer sizes: 10 9 4 1 Training error: 0.001209 / Test error: 0.125362 / Layer sizes: 10 3 3 1 Training error: 0.001203 / Test error: 0.124101 / Layer sizes: 10 3 3 1 Training error: 0.001157 / Test error: 0.121911 / Layer sizes: 10 3 3 1 Training error: 0.001153 / Test error: 0.121693 / Layer sizes: 10 3 3 1 Training error: 0.001139 / Test error: 0.121472 / Layer sizes: 10 3 3 1 Training error: 0.001125 / Test error: 0.121389 / Layer sizes: 10 3 3 1 Training error: 0.001123 / Test error: 0.121209 / Layer sizes: 10 3 3 1 Training error: 0.001119 / Test error: 0.120855 / Layer sizes: 10 3 3 1 Training error: 0.000647 / Test error: 0.117952 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.083333 / 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. 88.09 % correct. 11.91 % wrong. Limit: 17.99 %. 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.35463 + 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.GRTQDs 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.ULmMKv 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.Som81r 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.uNfQTs find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.mkhhnr 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 94.65user 1.00system 1:40.77elapsed 94%CPU (0avgtext+0avgdata 35868maxresident)k 0inputs+0outputs (0major+161338minor)pagefaults 0swaps 104.48user 7.15system 1:56.83elapsed 95%CPU (0avgtext+0avgdata 108804maxresident)k 0inputs+0outputs (0major+482828minor)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 2020-02-21 14:02:50.117622220 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)