<86>Sep 30 11:36:59 userdel[2565822]: delete user 'rooter' <86>Sep 30 11:36:59 userdel[2565822]: removed group 'rooter' owned by 'rooter' <86>Sep 30 11:36:59 userdel[2565822]: removed shadow group 'rooter' owned by 'rooter' <86>Sep 30 11:36:59 groupadd[2565835]: group added to /etc/group: name=rooter, GID=651 <86>Sep 30 11:36:59 groupadd[2565835]: group added to /etc/gshadow: name=rooter <86>Sep 30 11:36:59 groupadd[2565835]: new group: name=rooter, GID=651 <86>Sep 30 11:36:59 useradd[2565849]: new user: name=rooter, UID=651, GID=651, home=/root, shell=/bin/bash <86>Sep 30 11:36:59 userdel[2565874]: delete user 'builder' <86>Sep 30 11:36:59 userdel[2565874]: removed group 'builder' owned by 'builder' <86>Sep 30 11:36:59 userdel[2565874]: removed shadow group 'builder' owned by 'builder' <86>Sep 30 11:36:59 groupadd[2565891]: group added to /etc/group: name=builder, GID=652 <86>Sep 30 11:36:59 groupadd[2565891]: group added to /etc/gshadow: name=builder <86>Sep 30 11:36:59 groupadd[2565891]: new group: name=builder, GID=652 <86>Sep 30 11:36:59 useradd[2565904]: new user: name=builder, UID=652, GID=652, home=/usr/src, shell=/bin/bash <13>Sep 30 11:37:01 rpmi: libruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Sep 30 11:37:01 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Sep 30 11:37:01 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Sep 30 11:37:01 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Sep 30 11:37:01 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Sep 30 11:37:01 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Sep 30 11:37:01 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Sep 30 11:37:01 rpmi: ca-certificates-2020.06.29-alt1 sisyphus+254237.300.1.1 1593450881 installed <13>Sep 30 11:37:01 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Sep 30 11:37:01 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Sep 30 11:37:01 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Sep 30 11:37:01 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Sep 30 11:37:01 rpmi: erb-0:2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Sep 30 11:37:01 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Sep 30 11:37:01 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Sep 30 11:37:01 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Sep 30 11:37:01 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Sep 30 11:37:01 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Sep 30 11:37:01 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Sep 30 11:37:01 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Sep 30 11:37:01 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Sep 30 11:37:01 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Sep 30 11:37:01 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Sep 30 11:37:01 rpmi: gem-1:3.1.2-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Sep 30 11:37:01 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Sep 30 11:37:02 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Sep 30 11:37:02 rpmi: ruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Sep 30 11:37:03 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.92263 + 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.92263 + 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.2691 + 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.2691 + 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: 0.997670 / Test error: 0.991188 / Layer sizes: 10 3 1 Training error: 0.997825 / Test error: 0.989858 / Layer sizes: 10 7 1 Training error: 0.994703 / Test error: 0.984563 / Layer sizes: 10 10 1 Training error: 0.989771 / Test error: 0.975955 / Layer sizes: 10 1 Training error: 0.986014 / Test error: 0.964350 / Layer sizes: 10 10 1 Training error: 0.990026 / Test error: 0.955890 / Layer sizes: 10 3 3 1 Training error: 0.989051 / Test error: 0.941907 / Layer sizes: 10 3 3 1 Training error: 0.983770 / Test error: 0.927789 / Layer sizes: 10 7 1 Training error: 0.981125 / Test error: 0.919678 / Layer sizes: 10 7 1 Training error: 0.915156 / Test error: 0.889644 / Layer sizes: 10 1 Training error: 0.894666 / Test error: 0.872906 / Layer sizes: 10 1 Training error: 0.859046 / Test error: 0.863905 / Layer sizes: 10 1 Training error: 0.843789 / Test error: 0.861039 / Layer sizes: 10 1 Training error: 0.823054 / Test error: 0.851814 / Layer sizes: 10 1 Training error: 0.806602 / Test error: 0.840405 / Layer sizes: 10 1 Training error: 0.785853 / Test error: 0.816471 / Layer sizes: 10 1 Training error: 0.767053 / Test error: 0.805614 / Layer sizes: 10 1 Training error: 0.744056 / Test error: 0.790001 / Layer sizes: 10 1 Training error: 0.718871 / Test error: 0.767433 / Layer sizes: 10 1 Training error: 0.712213 / Test error: 0.757329 / Layer sizes: 10 1 Training error: 0.708828 / Test error: 0.744243 / Layer sizes: 10 1 Training error: 0.703124 / Test error: 0.730209 / Layer sizes: 10 1 Training error: 0.693857 / Test error: 0.713741 / Layer sizes: 10 1 Training error: 0.686998 / Test error: 0.683284 / Layer sizes: 10 1 Training error: 0.678928 / Test error: 0.672759 / Layer sizes: 10 1 Training error: 0.677111 / Test error: 0.660119 / Layer sizes: 10 1 Training error: 0.672012 / Test error: 0.652633 / Layer sizes: 10 1 Training error: 0.663842 / Test error: 0.648081 / Layer sizes: 10 1 Training error: 0.645700 / Test error: 0.636675 / Layer sizes: 10 1 Training error: 0.634706 / Test error: 0.615731 / Layer sizes: 10 1 Training error: 0.631183 / Test error: 0.611913 / Layer sizes: 10 1 Training error: 0.622429 / Test error: 0.602360 / Layer sizes: 10 1 Training error: 0.616992 / Test error: 0.599732 / Layer sizes: 10 1 Training error: 0.615070 / Test error: 0.595073 / Layer sizes: 10 1 Training error: 0.611628 / Test error: 0.585850 / Layer sizes: 10 1 Training error: 0.605925 / Test error: 0.584018 / Layer sizes: 10 1 Training error: 0.600337 / Test error: 0.577150 / Layer sizes: 10 1 Training error: 0.587268 / Test error: 0.548847 / Layer sizes: 10 1 Training error: 0.584279 / Test error: 0.548051 / Layer sizes: 10 1 Training error: 0.575727 / Test error: 0.541238 / Layer sizes: 10 1 Training error: 0.573696 / Test error: 0.530967 / Layer sizes: 10 1 Training error: 0.571418 / Test error: 0.517319 / Layer sizes: 10 1 Training error: 0.563813 / Test error: 0.510158 / Layer sizes: 10 1 Training error: 0.555769 / Test error: 0.491153 / Layer sizes: 10 1 Training error: 0.546474 / Test error: 0.484243 / Layer sizes: 10 1 Training error: 0.533208 / Test error: 0.464352 / Layer sizes: 10 1 Training error: 0.526283 / Test error: 0.462656 / Layer sizes: 10 1 Training error: 0.515012 / Test error: 0.450641 / Layer sizes: 10 1 Training error: 0.508395 / Test error: 0.444690 / Layer sizes: 10 1 Training error: 0.498752 / Test error: 0.442649 / Layer sizes: 10 1 Training error: 0.493358 / Test error: 0.436037 / Layer sizes: 10 1 Training error: 0.489206 / Test error: 0.422314 / Layer sizes: 10 1 Training error: 0.476326 / Test error: 0.418030 / Layer sizes: 10 1 Training error: 0.464586 / Test error: 0.411538 / Layer sizes: 10 1 Training error: 0.460714 / Test error: 0.401841 / Layer sizes: 10 1 Training error: 0.453852 / Test error: 0.396446 / Layer sizes: 10 1 Training error: 0.452291 / Test error: 0.384933 / Layer sizes: 10 1 Training error: 0.448785 / Test error: 0.379584 / Layer sizes: 10 1 Training error: 0.448216 / Test error: 0.374964 / Layer sizes: 10 1 Training error: 0.448016 / Test error: 0.369124 / Layer sizes: 10 1 Training error: 0.445307 / Test error: 0.363652 / Layer sizes: 10 1 Training error: 0.441321 / Test error: 0.362580 / Layer sizes: 10 1 Training error: 0.439104 / Test error: 0.354385 / Layer sizes: 10 1 Training error: 0.438715 / Test error: 0.346970 / Layer sizes: 10 1 Training error: 0.437402 / Test error: 0.342687 / Layer sizes: 10 1 Training error: 0.420202 / Test error: 0.332376 / Layer sizes: 10 7 1 Training error: 0.411777 / Test error: 0.321093 / Layer sizes: 10 7 1 Training error: 0.410798 / Test error: 0.319894 / Layer sizes: 10 7 1 Training error: 0.401850 / Test error: 0.315706 / Layer sizes: 10 7 1 Training error: 0.396264 / Test error: 0.313619 / Layer sizes: 10 1 Training error: 0.393806 / Test error: 0.312254 / Layer sizes: 10 1 Training error: 0.393433 / Test error: 0.304170 / Layer sizes: 10 1 Training error: 0.389769 / Test error: 0.302377 / Layer sizes: 10 1 Training error: 0.388704 / Test error: 0.301611 / Layer sizes: 10 1 Training error: 0.386884 / Test error: 0.294261 / Layer sizes: 10 1 Training error: 0.385853 / Test error: 0.280320 / Layer sizes: 10 1 Training error: 0.379531 / Test error: 0.279550 / Layer sizes: 10 1 Training error: 0.373477 / Test error: 0.273427 / Layer sizes: 10 1 Training error: 0.368690 / Test error: 0.273024 / Layer sizes: 10 1 Training error: 0.360925 / Test error: 0.272407 / Layer sizes: 10 1 Training error: 0.357801 / Test error: 0.268590 / Layer sizes: 10 1 Training error: 0.355842 / Test error: 0.264083 / Layer sizes: 10 1 Training error: 0.355044 / Test error: 0.264059 / Layer sizes: 10 1 Training error: 0.354030 / Test error: 0.249783 / Layer sizes: 10 1 Training error: 0.345997 / Test error: 0.246516 / Layer sizes: 10 1 Training error: 0.344831 / Test error: 0.241551 / Layer sizes: 10 1 Training error: 0.342560 / Test error: 0.238171 / Layer sizes: 10 1 Training error: 0.339556 / Test error: 0.236547 / Layer sizes: 10 1 Training error: 0.336180 / Test error: 0.234197 / Layer sizes: 10 1 Training error: 0.332984 / Test error: 0.231420 / Layer sizes: 10 1 Training error: 0.331599 / Test error: 0.230826 / Layer sizes: 10 1 Training error: 0.331352 / Test error: 0.228807 / Layer sizes: 10 1 Training error: 0.323922 / Test error: 0.224487 / Layer sizes: 10 1 Training error: 0.323052 / Test error: 0.222980 / Layer sizes: 10 1 Training error: 0.322860 / Test error: 0.218754 / Layer sizes: 10 1 Training error: 0.312947 / Test error: 0.216268 / Layer sizes: 10 1 Training error: 0.296438 / Test error: 0.213717 / Layer sizes: 10 1 Training error: 0.235426 / Test error: 0.212610 / Layer sizes: 10 7 1 Training error: 0.292950 / Test error: 0.210664 / Layer sizes: 10 1 Training error: 0.230841 / Test error: 0.210257 / Layer sizes: 10 7 1 Training error: 0.229529 / Test error: 0.209736 / Layer sizes: 10 7 1 Training error: 0.177760 / Test error: 0.208372 / Layer sizes: 10 10 1 Training error: 0.177247 / Test error: 0.200443 / Layer sizes: 10 10 1 Training error: 0.174932 / Test error: 0.190339 / Layer sizes: 10 10 1 Training error: 0.213615 / Test error: 0.184505 / Layer sizes: 10 7 1 Training error: 0.211819 / Test error: 0.178757 / Layer sizes: 10 7 1 Training error: 0.211188 / Test error: 0.169479 / Layer sizes: 10 7 1 Training error: 0.209582 / Test error: 0.165346 / Layer sizes: 10 7 1 Training error: 0.209389 / Test error: 0.164930 / Layer sizes: 10 7 1 Training error: 0.208444 / Test error: 0.158673 / Layer sizes: 10 7 1 Training error: 0.207748 / Test error: 0.156219 / Layer sizes: 10 7 1 Training error: 0.205142 / Test error: 0.152472 / Layer sizes: 10 7 1 Training error: 0.186641 / Test error: 0.150685 / Layer sizes: 10 7 1 Training error: 0.173980 / Test error: 0.150103 / Layer sizes: 10 7 1 Training error: 0.168118 / Test error: 0.148105 / Layer sizes: 10 7 1 Training error: 0.164301 / Test error: 0.144859 / Layer sizes: 10 7 1 Training error: 0.162081 / Test error: 0.143852 / Layer sizes: 10 7 1 Training error: 0.162007 / Test error: 0.140529 / Layer sizes: 10 7 1 Training error: 0.148893 / Test error: 0.137168 / Layer sizes: 10 7 1 Training error: 0.145679 / Test error: 0.130809 / Layer sizes: 10 7 1 Training error: 0.145485 / Test error: 0.128527 / Layer sizes: 10 7 1 Training error: 0.093535 / Test error: 0.122425 / Layer sizes: 10 7 1 Training error: 0.092336 / Test error: 0.117499 / Layer sizes: 10 7 1 Training error: 0.092022 / Test error: 0.115026 / Layer sizes: 10 7 1 Training error: 0.090699 / Test error: 0.113080 / Layer sizes: 10 7 1 Training error: 0.089981 / Test error: 0.111194 / Layer sizes: 10 7 1 Training error: 0.088545 / Test error: 0.109966 / Layer sizes: 10 7 1 Training error: 0.086574 / Test error: 0.105753 / Layer sizes: 10 7 1 Training error: 0.084835 / Test error: 0.104746 / Layer sizes: 10 7 1 Training error: 0.074690 / Test error: 0.102382 / Layer sizes: 10 7 1 Training error: 0.025480 / Test error: 0.100106 / Layer sizes: 10 10 1 Training error: 0.025475 / Test error: 0.095809 / Layer sizes: 10 10 1 Training error: 0.005694 / Test error: 0.093405 / Layer sizes: 10 10 1 Training error: 0.005652 / Test error: 0.093197 / Layer sizes: 10 10 1 Training error: 0.005598 / Test error: 0.091091 / Layer sizes: 10 10 1 Training error: 0.005576 / Test error: 0.078501 / Layer sizes: 10 10 1 Training error: 0.008347 / Test error: 0.075595 / Layer sizes: 10 9 4 1 Training error: 0.008341 / Test error: 0.070808 / Layer sizes: 10 9 4 1 Training error: 0.008317 / Test error: 0.070546 / Layer sizes: 10 9 4 1 Training error: 0.008307 / Test error: 0.055633 / Layer sizes: 10 9 4 1 Training error: 0.006334 / Test error: 0.053531 / Layer sizes: 10 9 4 1 Training error: 0.003627 / Test error: 0.046948 / Layer sizes: 10 9 4 1 Training error: 0.002717 / Test error: 0.045134 / Layer sizes: 10 9 4 1 Training error: 0.002661 / Test error: 0.043392 / Layer sizes: 10 9 4 1 Training error: 0.002646 / Test error: 0.041246 / Layer sizes: 10 9 4 1 Training error: 0.002224 / Test error: 0.041133 / Layer sizes: 10 9 4 1 Training error: 0.001845 / Test error: 0.040373 / Layer sizes: 10 9 4 1 Training error: 0.000990 / Test error: 0.040136 / 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. 87.57 % correct. 12.43 % wrong. Limit: 17.98 %. 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.47449 + 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.d4euOS 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.am925V 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.Wd4imT 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.SiRvbU find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.YeaQNV 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 85.76user 0.50system 1:38.27elapsed 87%CPU (0avgtext+0avgdata 35792maxresident)k 0inputs+0outputs (0major+164190minor)pagefaults 0swaps 91.87user 3.39system 1:47.10elapsed 88%CPU (0avgtext+0avgdata 110296maxresident)k 0inputs+0outputs (0major+482404minor)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 2020-09-30 11:38:44.348784337 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)