<86>Aug 24 04:54:18 userdel[3153725]: delete user 'rooter' <86>Aug 24 04:54:18 groupadd[3153782]: group added to /etc/group: name=rooter, GID=585 <86>Aug 24 04:54:18 groupadd[3153782]: group added to /etc/gshadow: name=rooter <86>Aug 24 04:54:18 groupadd[3153782]: new group: name=rooter, GID=585 <86>Aug 24 04:54:18 useradd[3153825]: new user: name=rooter, UID=585, GID=585, home=/root, shell=/bin/bash <86>Aug 24 04:54:18 userdel[3153960]: delete user 'builder' <86>Aug 24 04:54:18 userdel[3153960]: removed group 'builder' owned by 'builder' <86>Aug 24 04:54:18 userdel[3153960]: removed shadow group 'builder' owned by 'builder' <86>Aug 24 04:54:18 groupadd[3154045]: group added to /etc/group: name=builder, GID=586 <86>Aug 24 04:54:18 groupadd[3154045]: new group: name=builder, GID=586 <86>Aug 24 04:54:18 useradd[3154050]: new user: name=builder, UID=586, GID=586, home=/usr/src, shell=/bin/bash <13>Aug 24 04:54:22 rpmi: libruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Aug 24 04:54:22 rpmi: libp11-kit-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Aug 24 04:54:22 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>Aug 24 04:54:22 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Aug 24 04:54:22 rpmi: libyaml2-0.2.5-alt1 sisyphus+253672.100.1.1 1592583137 installed <13>Aug 24 04:54:22 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 24 04:54:22 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Aug 24 04:54:22 rpmi: ca-certificates-2020.06.29-alt1 sisyphus+254237.300.1.1 1593450881 installed <13>Aug 24 04:54:22 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>Aug 24 04:54:22 rpmi: p11-kit-trust-0.23.15-alt2 sisyphus+252784.100.2.2 1591274901 installed <13>Aug 24 04:54:22 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Aug 24 04:54:22 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>Aug 24 04:54:22 rpmi: erb-0:2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 24 04:54:22 rpmi: irb-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 24 04:54:22 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>Aug 24 04:54:22 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Aug 24 04:54:22 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>Aug 24 04:54:22 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 24 04:54:23 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>Aug 24 04:54:23 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>Aug 24 04:54:23 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Aug 24 04:54:23 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 24 04:54:23 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 24 04:54:23 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Aug 24 04:54:23 rpmi: gem-1:3.1.2-alt2.1 sisyphus+255293.40.2.1 1595536976 installed <13>Aug 24 04:54:23 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 24 04:54:26 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>Aug 24 04:54:26 rpmi: ruby-2.7.1-alt2.1 sisyphus+255293.40.2.1 1595537052 installed <13>Aug 24 04:54:26 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.56712 + 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/tar -xf - + /bin/gzip -dc /usr/src/RPM/SOURCES/auto-nng.v1.7.tar.gz + 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.56712 + 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.66068 + 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.97365 + 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: 0.986261 / Test error: 0.981329 / Layer sizes: 10 3 1 Training error: 0.976529 / Test error: 0.968437 / Layer sizes: 10 10 1 Training error: 0.969762 / Test error: 0.960108 / Layer sizes: 10 10 1 Training error: 0.956211 / Test error: 0.939656 / Layer sizes: 10 10 1 Training error: 0.949705 / Test error: 0.931461 / Layer sizes: 10 10 1 Training error: 0.942305 / Test error: 0.921828 / Layer sizes: 10 10 1 Training error: 0.939702 / Test error: 0.920459 / Layer sizes: 10 10 1 Training error: 0.941621 / Test error: 0.916956 / Layer sizes: 10 3 3 1 Training error: 0.930893 / Test error: 0.914673 / Layer sizes: 10 10 1 Training error: 0.922600 / Test error: 0.909138 / Layer sizes: 10 10 1 Training error: 0.905750 / Test error: 0.891133 / Layer sizes: 10 10 1 Training error: 0.902046 / Test error: 0.886462 / Layer sizes: 10 10 1 Training error: 0.856099 / Test error: 0.877029 / Layer sizes: 10 1 Training error: 0.889173 / Test error: 0.868857 / Layer sizes: 10 10 1 Training error: 0.886588 / Test error: 0.860871 / Layer sizes: 10 10 1 Training error: 0.834285 / Test error: 0.852738 / Layer sizes: 10 1 Training error: 0.815084 / Test error: 0.827322 / Layer sizes: 10 1 Training error: 0.800143 / Test error: 0.802529 / Layer sizes: 10 1 Training error: 0.795200 / Test error: 0.792306 / Layer sizes: 10 1 Training error: 0.767345 / Test error: 0.786198 / Layer sizes: 10 1 Training error: 0.763156 / Test error: 0.781335 / Layer sizes: 10 1 Training error: 0.746270 / Test error: 0.761816 / Layer sizes: 10 1 Training error: 0.714173 / Test error: 0.734074 / Layer sizes: 10 1 Training error: 0.709648 / Test error: 0.725438 / Layer sizes: 10 1 Training error: 0.675464 / Test error: 0.703278 / Layer sizes: 10 1 Training error: 0.669904 / Test error: 0.689912 / Layer sizes: 10 1 Training error: 0.663422 / Test error: 0.684953 / Layer sizes: 10 1 Training error: 0.649878 / Test error: 0.682355 / Layer sizes: 10 1 Training error: 0.638777 / Test error: 0.676719 / Layer sizes: 10 1 Training error: 0.630118 / Test error: 0.675504 / Layer sizes: 10 1 Training error: 0.622713 / Test error: 0.673314 / Layer sizes: 10 1 Training error: 0.607673 / Test error: 0.660206 / Layer sizes: 10 1 Training error: 0.595190 / Test error: 0.644674 / Layer sizes: 10 1 Training error: 0.585461 / Test error: 0.643665 / Layer sizes: 10 1 Training error: 0.580982 / Test error: 0.636156 / Layer sizes: 10 1 Training error: 0.572261 / Test error: 0.625097 / Layer sizes: 10 1 Training error: 0.565285 / Test error: 0.609490 / Layer sizes: 10 1 Training error: 0.559510 / Test error: 0.597045 / Layer sizes: 10 1 Training error: 0.553298 / Test error: 0.587186 / Layer sizes: 10 1 Training error: 0.539027 / Test error: 0.576481 / Layer sizes: 10 1 Training error: 0.524608 / Test error: 0.574166 / Layer sizes: 10 1 Training error: 0.520918 / Test error: 0.571903 / Layer sizes: 10 1 Training error: 0.503980 / Test error: 0.563715 / Layer sizes: 10 1 Training error: 0.495771 / Test error: 0.561674 / Layer sizes: 10 1 Training error: 0.490298 / Test error: 0.559962 / Layer sizes: 10 1 Training error: 0.550396 / Test error: 0.559809 / Layer sizes: 10 3 1 Training error: 0.467507 / Test error: 0.552759 / Layer sizes: 10 1 Training error: 0.466144 / Test error: 0.551547 / Layer sizes: 10 1 Training error: 0.544427 / Test error: 0.547992 / Layer sizes: 10 3 1 Training error: 0.542843 / Test error: 0.544791 / Layer sizes: 10 3 1 Training error: 0.519676 / Test error: 0.543384 / Layer sizes: 10 3 1 Training error: 0.512685 / Test error: 0.530135 / Layer sizes: 10 3 1 Training error: 0.511008 / Test error: 0.521756 / Layer sizes: 10 3 1 Training error: 0.509480 / Test error: 0.515366 / Layer sizes: 10 3 1 Training error: 0.503699 / Test error: 0.511637 / Layer sizes: 10 3 1 Training error: 0.494561 / Test error: 0.502730 / Layer sizes: 10 3 1 Training error: 0.469600 / Test error: 0.482724 / Layer sizes: 10 3 1 Training error: 0.442584 / Test error: 0.479717 / Layer sizes: 10 3 1 Training error: 0.424415 / Test error: 0.475017 / Layer sizes: 10 3 1 Training error: 0.411930 / Test error: 0.469662 / Layer sizes: 10 3 1 Training error: 0.407882 / Test error: 0.455798 / Layer sizes: 10 3 1 Training error: 0.404651 / Test error: 0.449706 / Layer sizes: 10 3 1 Training error: 0.385547 / Test error: 0.441298 / Layer sizes: 10 3 1 Training error: 0.364706 / Test error: 0.441286 / Layer sizes: 10 10 1 Training error: 0.353115 / Test error: 0.438965 / Layer sizes: 10 10 1 Training error: 0.350888 / Test error: 0.427440 / Layer sizes: 10 10 1 Training error: 0.326922 / Test error: 0.417075 / Layer sizes: 10 10 1 Training error: 0.301130 / Test error: 0.413303 / Layer sizes: 10 10 1 Training error: 0.278576 / Test error: 0.405645 / Layer sizes: 10 10 1 Training error: 0.237631 / Test error: 0.403315 / Layer sizes: 10 10 1 Training error: 0.236194 / Test error: 0.393942 / Layer sizes: 10 10 1 Training error: 0.226032 / Test error: 0.381464 / Layer sizes: 10 10 1 Training error: 0.212651 / Test error: 0.379008 / Layer sizes: 10 10 1 Training error: 0.210433 / Test error: 0.372704 / Layer sizes: 10 10 1 Training error: 0.200372 / Test error: 0.367295 / Layer sizes: 10 10 1 Training error: 0.195562 / Test error: 0.359273 / Layer sizes: 10 10 1 Training error: 0.192517 / Test error: 0.344828 / Layer sizes: 10 10 1 Training error: 0.191168 / Test error: 0.337665 / Layer sizes: 10 10 1 Training error: 0.173820 / Test error: 0.328585 / Layer sizes: 10 10 1 Training error: 0.169717 / Test error: 0.325413 / Layer sizes: 10 10 1 Training error: 0.168948 / Test error: 0.313430 / Layer sizes: 10 10 1 Training error: 0.135591 / Test error: 0.312408 / Layer sizes: 10 10 1 Training error: 0.134688 / Test error: 0.312072 / Layer sizes: 10 10 1 Training error: 0.126658 / Test error: 0.310387 / Layer sizes: 10 10 1 Training error: 0.125602 / Test error: 0.306603 / Layer sizes: 10 10 1 Training error: 0.117704 / Test error: 0.305940 / Layer sizes: 10 10 1 Training error: 0.114496 / Test error: 0.304437 / Layer sizes: 10 10 1 Training error: 0.113512 / Test error: 0.301732 / Layer sizes: 10 10 1 Training error: 0.113153 / Test error: 0.298955 / Layer sizes: 10 10 1 Training error: 0.109538 / Test error: 0.294938 / Layer sizes: 10 10 1 Training error: 0.109400 / Test error: 0.290950 / Layer sizes: 10 10 1 Training error: 0.108161 / Test error: 0.286703 / Layer sizes: 10 10 1 Training error: 0.107971 / Test error: 0.283792 / Layer sizes: 10 10 1 Training error: 0.106077 / Test error: 0.280933 / Layer sizes: 10 10 1 Training error: 0.104216 / Test error: 0.278943 / Layer sizes: 10 10 1 Training error: 0.104077 / Test error: 0.272670 / Layer sizes: 10 10 1 Training error: 0.100527 / Test error: 0.271373 / Layer sizes: 10 10 1 Training error: 0.090030 / Test error: 0.268438 / Layer sizes: 10 10 1 Training error: 0.088488 / Test error: 0.267025 / Layer sizes: 10 10 1 Training error: 0.088047 / Test error: 0.261722 / Layer sizes: 10 10 1 Training error: 0.087967 / Test error: 0.256989 / Layer sizes: 10 10 1 Training error: 0.087740 / Test error: 0.248476 / Layer sizes: 10 10 1 Training error: 0.087452 / Test error: 0.246593 / Layer sizes: 10 10 1 Training error: 0.086236 / Test error: 0.243131 / Layer sizes: 10 10 1 Training error: 0.085870 / Test error: 0.242174 / Layer sizes: 10 10 1 Training error: 0.085774 / Test error: 0.234375 / Layer sizes: 10 10 1 Training error: 0.014574 / Test error: 0.232912 / Layer sizes: 10 10 1 Training error: 0.014530 / Test error: 0.232512 / Layer sizes: 10 10 1 Training error: 0.014429 / Test error: 0.212679 / Layer sizes: 10 10 1 Training error: 0.010900 / Test error: 0.212321 / Layer sizes: 10 7 1 Training error: 0.010136 / Test error: 0.206423 / Layer sizes: 10 7 1 Training error: 0.010025 / Test error: 0.206080 / Layer sizes: 10 7 1 Training error: 0.009998 / Test error: 0.203379 / Layer sizes: 10 7 1 Training error: 0.009766 / Test error: 0.179274 / Layer sizes: 10 7 1 Training error: 0.009349 / Test error: 0.177878 / Layer sizes: 10 7 1 Training error: 0.009078 / Test error: 0.155347 / Layer sizes: 10 7 1 Training error: 0.009028 / Test error: 0.155128 / Layer sizes: 10 7 1 Training error: 0.009024 / Test error: 0.150762 / Layer sizes: 10 7 1 Training error: 0.008935 / Test error: 0.143306 / Layer sizes: 10 7 1 Training error: 0.008835 / Test error: 0.140326 / Layer sizes: 10 7 1 Training error: 0.008529 / Test error: 0.134002 / Layer sizes: 10 7 1 Training error: 0.008265 / Test error: 0.120975 / Layer sizes: 10 7 1 Training error: 0.008204 / Test error: 0.116620 / Layer sizes: 10 7 1 Training error: 0.008194 / Test error: 0.114490 / Layer sizes: 10 7 1 Training error: 0.008162 / Test error: 0.110659 / Layer sizes: 10 7 1 Training error: 0.007963 / Test error: 0.103299 / Layer sizes: 10 7 1 Training error: 0.007883 / Test error: 0.102410 / Layer sizes: 10 7 1 Training error: 0.007745 / Test error: 0.094513 / Layer sizes: 10 7 1 Training error: 0.007615 / Test error: 0.092124 / Layer sizes: 10 7 1 Training error: 0.007566 / Test error: 0.088925 / Layer sizes: 10 7 1 Training error: 0.000000 / Test error: 0.083333 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.083333 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041667 / Layer sizes: 10 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. 83.25 % correct. 16.75 % wrong. Limit: 18.16 %. 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.92119 + 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.q028LD 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.j2CqiG 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.989tfE 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.88tO6B find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.gDwDND 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 77.11user 0.45system 1:40.10elapsed 77%CPU (0avgtext+0avgdata 35844maxresident)k 0inputs+0outputs (0major+162027minor)pagefaults 0swaps 83.16user 2.98system 1:56.81elapsed 73%CPU (0avgtext+0avgdata 110196maxresident)k 0inputs+0outputs (0major+480499minor)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 2020-08-24 04:56:12.591437725 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)