<86>Dec 28 13:14:02 userdel[1052241]: delete user 'rooter' <86>Dec 28 13:14:02 userdel[1052241]: removed group 'rooter' owned by 'rooter' <86>Dec 28 13:14:02 userdel[1052241]: removed shadow group 'rooter' owned by 'rooter' <86>Dec 28 13:14:02 groupadd[1052258]: group added to /etc/group: name=rooter, GID=675 <86>Dec 28 13:14:02 groupadd[1052258]: group added to /etc/gshadow: name=rooter <86>Dec 28 13:14:02 groupadd[1052258]: new group: name=rooter, GID=675 <86>Dec 28 13:14:02 useradd[1052273]: new user: name=rooter, UID=675, GID=675, home=/root, shell=/bin/bash <86>Dec 28 13:14:02 userdel[1052298]: delete user 'builder' <86>Dec 28 13:14:02 userdel[1052298]: removed group 'builder' owned by 'builder' <86>Dec 28 13:14:02 userdel[1052298]: removed shadow group 'builder' owned by 'builder' <86>Dec 28 13:14:02 groupadd[1052316]: group added to /etc/group: name=builder, GID=676 <86>Dec 28 13:14:02 groupadd[1052316]: group added to /etc/gshadow: name=builder <86>Dec 28 13:14:02 groupadd[1052316]: new group: name=builder, GID=676 <86>Dec 28 13:14:02 useradd[1052325]: new user: name=builder, UID=676, GID=676, home=/usr/src, shell=/bin/bash <13>Dec 28 13:14:04 rpmi: libruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Dec 28 13:14:04 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Dec 28 13:14:04 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Dec 28 13:14:04 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Dec 28 13:14:04 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Dec 28 13:14:04 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Dec 28 13:14:04 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Dec 28 13:14:04 rpmi: ca-certificates-2020.10.22-alt1 sisyphus+260224.300.2.1 1603549301 installed <13>Dec 28 13:14:04 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Dec 28 13:14:04 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Dec 28 13:14:05 rpmi: libcrypto1.1-1.1.1i-alt1 sisyphus+263103.100.1.1 1607445576 installed <13>Dec 28 13:14:05 rpmi: libssl1.1-1.1.1i-alt1 sisyphus+263103.100.1.1 1607445576 installed <13>Dec 28 13:14:05 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Dec 28 13:14:05 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Dec 28 13:14:05 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Dec 28 13:14:05 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Dec 28 13:14:05 rpmi: gem-2:3.1.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Dec 28 13:14:05 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 28 13:14:05 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 28 13:14:05 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Dec 28 13:14:05 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Dec 28 13:14:05 rpmi: erb-0:2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Dec 28 13:14:05 rpmi: irb-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192116 installed <13>Dec 28 13:14:05 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Dec 28 13:14:05 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Dec 28 13:14:05 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Dec 28 13:14:06 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Dec 28 13:14:06 rpmi: ruby-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed <13>Dec 28 13:14:07 rpmi: ruby-stdlibs-2.7.2-alt1.1 sisyphus+262971.100.1.1 1607192190 installed Building target platforms: i586 Building for target i586 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: i586 Building for target i586 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.88208 + 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.88208 + 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: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: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: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.13446 + 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) 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.11709 + 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: 0.998101 / Test error: 0.996935 / Layer sizes: 10 3 1 Training error: 0.991829 / Test error: 0.984950 / Layer sizes: 10 3 3 1 Training error: 0.991586 / Test error: 0.984629 / Layer sizes: 10 3 1 Training error: 0.983568 / Test error: 0.968514 / Layer sizes: 10 10 10 1 Training error: 0.982111 / Test error: 0.965554 / Layer sizes: 10 10 10 1 Training error: 0.980942 / Test error: 0.961250 / Layer sizes: 10 3 1 Training error: 0.977313 / Test error: 0.955961 / Layer sizes: 10 3 3 1 Training error: 0.977660 / Test error: 0.955356 / Layer sizes: 10 10 10 1 Training error: 0.963629 / Test error: 0.941834 / Layer sizes: 10 10 1 Training error: 0.967072 / Test error: 0.932102 / Layer sizes: 10 3 3 1 Training error: 0.951821 / Test error: 0.931163 / Layer sizes: 10 10 1 Training error: 0.966263 / Test error: 0.929190 / Layer sizes: 10 3 3 1 Training error: 0.965342 / Test error: 0.921240 / Layer sizes: 10 10 10 1 Training error: 0.964083 / Test error: 0.916674 / Layer sizes: 10 10 10 1 Training error: 0.962692 / Test error: 0.916607 / Layer sizes: 10 10 10 1 Training error: 0.935028 / Test error: 0.906648 / Layer sizes: 10 10 1 Training error: 0.887564 / Test error: 0.902842 / Layer sizes: 10 1 Training error: 0.855392 / Test error: 0.872501 / Layer sizes: 10 1 Training error: 0.854691 / Test error: 0.871294 / Layer sizes: 10 1 Training error: 0.849277 / Test error: 0.863191 / Layer sizes: 10 1 Training error: 0.830824 / Test error: 0.851117 / Layer sizes: 10 1 Training error: 0.796108 / Test error: 0.841223 / Layer sizes: 10 1 Training error: 0.763727 / Test error: 0.792204 / Layer sizes: 10 1 Training error: 0.745673 / Test error: 0.785294 / Layer sizes: 10 1 Training error: 0.687663 / Test error: 0.760701 / Layer sizes: 10 1 Training error: 0.677625 / Test error: 0.746451 / Layer sizes: 10 1 Training error: 0.672762 / Test error: 0.738617 / Layer sizes: 10 1 Training error: 0.660488 / Test error: 0.701225 / Layer sizes: 10 1 Training error: 0.655480 / Test error: 0.684231 / Layer sizes: 10 1 Training error: 0.649337 / Test error: 0.674788 / Layer sizes: 10 1 Training error: 0.649206 / Test error: 0.656118 / Layer sizes: 10 1 Training error: 0.644287 / Test error: 0.648218 / Layer sizes: 10 1 Training error: 0.635795 / Test error: 0.640164 / Layer sizes: 10 1 Training error: 0.604532 / Test error: 0.634876 / Layer sizes: 10 1 Training error: 0.601197 / Test error: 0.622188 / Layer sizes: 10 1 Training error: 0.591346 / Test error: 0.595880 / Layer sizes: 10 1 Training error: 0.585059 / Test error: 0.577668 / Layer sizes: 10 1 Training error: 0.570468 / Test error: 0.550395 / Layer sizes: 10 1 Training error: 0.551192 / Test error: 0.539491 / Layer sizes: 10 1 Training error: 0.533699 / Test error: 0.517079 / Layer sizes: 10 1 Training error: 0.526666 / Test error: 0.509333 / Layer sizes: 10 1 Training error: 0.513561 / Test error: 0.506694 / Layer sizes: 10 1 Training error: 0.506540 / Test error: 0.495146 / Layer sizes: 10 1 Training error: 0.489516 / Test error: 0.492792 / Layer sizes: 10 1 Training error: 0.468291 / Test error: 0.489635 / Layer sizes: 10 1 Training error: 0.463117 / Test error: 0.475365 / Layer sizes: 10 1 Training error: 0.461981 / Test error: 0.472729 / Layer sizes: 10 1 Training error: 0.457259 / Test error: 0.460244 / Layer sizes: 10 1 Training error: 0.448205 / Test error: 0.445289 / Layer sizes: 10 1 Training error: 0.426664 / Test error: 0.440345 / Layer sizes: 10 1 Training error: 0.420049 / Test error: 0.435263 / Layer sizes: 10 1 Training error: 0.419356 / Test error: 0.425530 / Layer sizes: 10 1 Training error: 0.415594 / Test error: 0.417484 / Layer sizes: 10 1 Training error: 0.413568 / Test error: 0.410618 / Layer sizes: 10 1 Training error: 0.410063 / Test error: 0.404303 / Layer sizes: 10 1 Training error: 0.406999 / Test error: 0.399143 / Layer sizes: 10 1 Training error: 0.402189 / Test error: 0.397913 / Layer sizes: 10 1 Training error: 0.386631 / Test error: 0.395012 / Layer sizes: 10 7 1 Training error: 0.384994 / Test error: 0.393553 / Layer sizes: 10 7 1 Training error: 0.392116 / Test error: 0.390230 / Layer sizes: 10 1 Training error: 0.377334 / Test error: 0.385454 / Layer sizes: 10 1 Training error: 0.375436 / Test error: 0.385288 / Layer sizes: 10 1 Training error: 0.373471 / Test error: 0.381901 / Layer sizes: 10 1 Training error: 0.372494 / Test error: 0.371653 / Layer sizes: 10 1 Training error: 0.367827 / Test error: 0.366240 / Layer sizes: 10 1 Training error: 0.326959 / Test error: 0.355646 / Layer sizes: 10 9 4 1 Training error: 0.322066 / Test error: 0.346314 / Layer sizes: 10 9 4 1 Training error: 0.311739 / Test error: 0.345804 / Layer sizes: 10 9 4 1 Training error: 0.310257 / Test error: 0.344338 / Layer sizes: 10 9 4 1 Training error: 0.247835 / Test error: 0.339583 / Layer sizes: 10 10 1 Training error: 0.244626 / Test error: 0.339491 / Layer sizes: 10 10 1 Training error: 0.241193 / Test error: 0.325602 / Layer sizes: 10 10 1 Training error: 0.240315 / Test error: 0.319507 / Layer sizes: 10 10 1 Training error: 0.237090 / Test error: 0.319210 / Layer sizes: 10 10 1 Training error: 0.208513 / Test error: 0.317991 / Layer sizes: 10 3 3 1 Training error: 0.095842 / Test error: 0.314316 / Layer sizes: 10 9 4 1 Training error: 0.095753 / Test error: 0.313011 / Layer sizes: 10 9 4 1 Training error: 0.232050 / Test error: 0.309056 / Layer sizes: 10 3 1 Training error: 0.224727 / Test error: 0.308120 / Layer sizes: 10 3 1 Training error: 0.224127 / Test error: 0.307299 / Layer sizes: 10 3 1 Training error: 0.223525 / Test error: 0.306522 / Layer sizes: 10 3 1 Training error: 0.223445 / Test error: 0.299690 / Layer sizes: 10 3 1 Training error: 0.021477 / Test error: 0.294883 / Layer sizes: 10 9 4 1 Training error: 0.214515 / Test error: 0.294340 / Layer sizes: 10 3 1 Training error: 0.214339 / Test error: 0.290910 / Layer sizes: 10 3 1 Training error: 0.020360 / Test error: 0.282846 / Layer sizes: 10 9 4 1 Training error: 0.018444 / Test error: 0.270615 / Layer sizes: 10 9 4 1 Training error: 0.016893 / Test error: 0.269096 / Layer sizes: 10 9 4 1 Training error: 0.015630 / Test error: 0.261696 / Layer sizes: 10 9 4 1 Training error: 0.015487 / Test error: 0.257718 / Layer sizes: 10 9 4 1 Training error: 0.015291 / Test error: 0.255390 / Layer sizes: 10 9 4 1 Training error: 0.013722 / Test error: 0.250363 / Layer sizes: 10 9 4 1 Training error: 0.013590 / Test error: 0.247259 / Layer sizes: 10 9 4 1 Training error: 0.013236 / Test error: 0.242451 / Layer sizes: 10 9 4 1 Training error: 0.012914 / Test error: 0.236916 / Layer sizes: 10 9 4 1 Training error: 0.009995 / Test error: 0.235822 / Layer sizes: 10 9 4 1 Training error: 0.008332 / Test error: 0.233222 / Layer sizes: 10 9 4 1 Training error: 0.008305 / Test error: 0.225768 / Layer sizes: 10 9 4 1 Training error: 0.008149 / Test error: 0.224310 / Layer sizes: 10 9 4 1 Training error: 0.008123 / Test error: 0.222512 / Layer sizes: 10 9 4 1 Training error: 0.006716 / Test error: 0.219998 / Layer sizes: 10 9 4 1 Training error: 0.197247 / Test error: 0.218546 / Layer sizes: 10 3 1 Training error: 0.197180 / Test error: 0.211554 / Layer sizes: 10 3 1 Training error: 0.197098 / Test error: 0.209193 / Layer sizes: 10 3 1 Training error: 0.001435 / Test error: 0.206469 / Layer sizes: 10 9 4 1 Training error: 0.031176 / Test error: 0.204780 / Layer sizes: 10 3 1 Training error: 0.030886 / Test error: 0.203868 / Layer sizes: 10 3 1 Training error: 0.030535 / Test error: 0.202355 / Layer sizes: 10 3 1 Training error: 0.030082 / Test error: 0.201595 / Layer sizes: 10 3 1 Training error: 0.028932 / Test error: 0.199927 / Layer sizes: 10 3 1 Training error: 0.028788 / Test error: 0.199869 / Layer sizes: 10 3 1 Training error: 0.028495 / Test error: 0.199058 / Layer sizes: 10 3 1 Training error: 0.026907 / Test error: 0.198620 / Layer sizes: 10 3 1 Training error: 0.026641 / Test error: 0.196578 / Layer sizes: 10 3 1 Training error: 0.026133 / Test error: 0.195456 / Layer sizes: 10 3 1 Training error: 0.025967 / Test error: 0.194822 / Layer sizes: 10 3 1 Training error: 0.025636 / Test error: 0.187870 / Layer sizes: 10 3 1 Training error: 0.025543 / Test error: 0.187476 / Layer sizes: 10 3 1 Training error: 0.025351 / Test error: 0.186813 / Layer sizes: 10 3 1 Training error: 0.023843 / Test error: 0.185070 / Layer sizes: 10 3 1 Training error: 0.023043 / Test error: 0.184369 / Layer sizes: 10 3 1 Training error: 0.023012 / Test error: 0.180955 / Layer sizes: 10 3 1 Training error: 0.022898 / Test error: 0.177458 / Layer sizes: 10 3 1 Training error: 0.022345 / Test error: 0.175824 / Layer sizes: 10 3 1 Training error: 0.022187 / Test error: 0.173961 / Layer sizes: 10 3 1 Training error: 0.022129 / Test error: 0.171598 / Layer sizes: 10 3 1 Training error: 0.021663 / Test error: 0.170967 / Layer sizes: 10 3 1 Training error: 0.014196 / Test error: 0.168015 / Layer sizes: 10 3 1 Training error: 0.014174 / Test error: 0.167746 / Layer sizes: 10 3 1 Training error: 0.001808 / Test error: 0.164574 / Layer sizes: 10 3 1 Training error: 0.001380 / Test error: 0.163166 / Layer sizes: 10 3 1 Training error: 0.000069 / Test error: 0.162976 / Layer sizes: 10 3 3 1 Training error: 0.000069 / Test error: 0.124109 / Layer sizes: 10 3 3 1 Training error: 0.000068 / Test error: 0.124050 / Layer sizes: 10 3 3 1 Training error: 0.000000 / Test error: 0.041659 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.041659 / 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. 85.45 % correct. 14.55 % wrong. Limit: 18.03 %. 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.41363 + 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.l4TP5p 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.9tmqEo 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_2.1.3), 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.4YKHBp 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.Sf30Np find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.AVgacr 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 (w2.lzdio) Wrote: /usr/src/RPM/RPMS/i586/auto-nng-debuginfo-1.7-alt2_3.1.i586.rpm (w2.lzdio) 85.43user 0.34system 1:39.91elapsed 85%CPU (0avgtext+0avgdata 36368maxresident)k 0inputs+0outputs (0major+172214minor)pagefaults 0swaps 92.56user 4.53system 1:52.28elapsed 86%CPU (0avgtext+0avgdata 107292maxresident)k 0inputs+0outputs (0major+501805minor)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 2020-12-28 13:15:51.162034816 +0000 @@ -7,2 +7,3 @@ Requires: libc.so.6(GLIBC_2.1) +Requires: libc.so.6(GLIBC_2.1.3) Requires: libc.so.6(GLIBC_2.3.4) @@ -11,2 +12,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)