<86>May 29 13:56:22 userdel[1478500]: delete user 'rooter' <86>May 29 13:56:22 userdel[1478500]: removed group 'rooter' owned by 'rooter' <86>May 29 13:56:22 userdel[1478500]: removed shadow group 'rooter' owned by 'rooter' <86>May 29 13:56:22 groupadd[1478514]: group added to /etc/group: name=rooter, GID=633 <86>May 29 13:56:23 groupadd[1478514]: group added to /etc/gshadow: name=rooter <86>May 29 13:56:23 groupadd[1478514]: new group: name=rooter, GID=633 <86>May 29 13:56:23 useradd[1478520]: new user: name=rooter, UID=633, GID=633, home=/root, shell=/bin/bash <86>May 29 13:56:23 userdel[1478529]: delete user 'builder' <86>May 29 13:56:23 userdel[1478529]: removed group 'builder' owned by 'builder' <86>May 29 13:56:23 userdel[1478529]: removed shadow group 'builder' owned by 'builder' <86>May 29 13:56:23 groupadd[1478536]: group added to /etc/group: name=builder, GID=634 <86>May 29 13:56:23 groupadd[1478536]: group added to /etc/gshadow: name=builder <86>May 29 13:56:23 groupadd[1478536]: new group: name=builder, GID=634 <86>May 29 13:56:23 useradd[1478540]: new user: name=builder, UID=634, GID=634, home=/usr/src, shell=/bin/bash <13>May 29 13:56:26 rpmi: libruby-2.7.1-alt1 sisyphus+252252.40.2.1 1590439668 installed <13>May 29 13:56:26 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 29 13:56:26 rpmi: libtasn1-4.16.0-alt1 sisyphus+245480.100.1.1 1580825062 installed <13>May 29 13:56:26 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>May 29 13:56:26 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>May 29 13:56:26 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 29 13:56:26 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 29 13:56:26 rpmi: ca-certificates-2020.01.23-alt1 sisyphus+244791.300.2.1 1580285500 installed <13>May 29 13:56:26 rpmi: ca-trust-0.1.2-alt1 sisyphus+233348.100.1.1 1561653823 installed <13>May 29 13:56:26 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 29 13:56:26 rpmi: libcrypto1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>May 29 13:56:26 rpmi: libssl1.1-1.1.1g-alt1 sisyphus+249982.60.8.1 1587743711 installed <13>May 29 13:56:26 rpmi: erb-0:2.7.1-alt1 sisyphus+252252.40.2.1 1590439564 installed <13>May 29 13:56:26 rpmi: irb-2.7.1-alt1 sisyphus+252252.40.2.1 1590439564 installed <13>May 29 13:56:26 rpmi: gem-minitest-5.14.1-alt0.1 sisyphus+249637.100.1.1 1586421683 installed <13>May 29 13:56:26 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>May 29 13:56:26 rpmi: gem-power-assert-1.1.7-alt1 sisyphus+248971.220.47.1 1586259894 installed <13>May 29 13:56:26 rpmi: rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>May 29 13:56:26 rpmi: gem-rake-13.0.1-alt1 sisyphus+248971.320.47.1 1586259947 installed <13>May 29 13:56:26 rpmi: gem-test-unit-3.3.5-alt1 sisyphus+248971.620.47.1 1586260035 installed <13>May 29 13:56:26 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>May 29 13:56:26 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 29 13:56:26 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 29 13:56:26 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 29 13:56:26 rpmi: gem-1:3.1.2-alt1 sisyphus+252252.40.2.1 1590439564 installed <13>May 29 13:56:26 rpmi: bundle-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>May 29 13:56:28 rpmi: gem-bundler-2.1.4-alt1 sisyphus+247301.1100.3.2 1583840910 installed <13>May 29 13:56:28 rpmi: ruby-2.7.1-alt1 sisyphus+252252.40.2.1 1590439668 installed <13>May 29 13:56:29 rpmi: ruby-stdlibs-2.7.1-alt1 sisyphus+252252.40.2.1 1590439668 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.7176 + 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.7176 + 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.57450 + 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.89071 + 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: 0.991527 / Test error: 0.988747 / Layer sizes: 10 3 1 Training error: 0.989044 / Test error: 0.985653 / Layer sizes: 10 10 1 Training error: 0.971295 / Test error: 0.937972 / Layer sizes: 10 1 Training error: 0.963526 / Test error: 0.931729 / Layer sizes: 10 1 Training error: 0.934486 / Test error: 0.902582 / Layer sizes: 10 1 Training error: 0.919433 / Test error: 0.895946 / Layer sizes: 10 1 Training error: 0.890017 / Test error: 0.868676 / Layer sizes: 10 1 Training error: 0.867853 / Test error: 0.852217 / Layer sizes: 10 1 Training error: 0.866071 / Test error: 0.842974 / Layer sizes: 10 1 Training error: 0.849312 / Test error: 0.817157 / Layer sizes: 10 1 Training error: 0.821883 / Test error: 0.805183 / Layer sizes: 10 1 Training error: 0.799773 / Test error: 0.777536 / Layer sizes: 10 1 Training error: 0.781161 / Test error: 0.731360 / Layer sizes: 10 1 Training error: 0.764172 / Test error: 0.721875 / Layer sizes: 10 1 Training error: 0.745712 / Test error: 0.694026 / Layer sizes: 10 1 Training error: 0.738875 / Test error: 0.691547 / Layer sizes: 10 1 Training error: 0.729699 / Test error: 0.685009 / Layer sizes: 10 1 Training error: 0.729330 / Test error: 0.666310 / Layer sizes: 10 1 Training error: 0.712649 / Test error: 0.652841 / Layer sizes: 10 1 Training error: 0.712279 / Test error: 0.649180 / Layer sizes: 10 1 Training error: 0.690780 / Test error: 0.608565 / Layer sizes: 10 1 Training error: 0.684780 / Test error: 0.606233 / Layer sizes: 10 1 Training error: 0.665986 / Test error: 0.595214 / Layer sizes: 10 1 Training error: 0.643297 / Test error: 0.589342 / Layer sizes: 10 1 Training error: 0.639702 / Test error: 0.576883 / Layer sizes: 10 1 Training error: 0.626705 / Test error: 0.566881 / Layer sizes: 10 1 Training error: 0.619698 / Test error: 0.549416 / Layer sizes: 10 1 Training error: 0.606434 / Test error: 0.546742 / Layer sizes: 10 1 Training error: 0.604922 / Test error: 0.538258 / Layer sizes: 10 1 Training error: 0.597815 / Test error: 0.511224 / Layer sizes: 10 1 Training error: 0.581566 / Test error: 0.506755 / Layer sizes: 10 1 Training error: 0.580964 / Test error: 0.506669 / Layer sizes: 10 1 Training error: 0.577306 / Test error: 0.491655 / Layer sizes: 10 1 Training error: 0.568147 / Test error: 0.490396 / Layer sizes: 10 1 Training error: 0.560068 / Test error: 0.488792 / Layer sizes: 10 1 Training error: 0.532962 / Test error: 0.487419 / Layer sizes: 10 1 Training error: 0.531097 / Test error: 0.483222 / Layer sizes: 10 1 Training error: 0.527399 / Test error: 0.483058 / Layer sizes: 10 1 Training error: 0.525594 / Test error: 0.477981 / Layer sizes: 10 1 Training error: 0.523421 / Test error: 0.472411 / Layer sizes: 10 1 Training error: 0.522614 / Test error: 0.460877 / Layer sizes: 10 1 Training error: 0.516168 / Test error: 0.454427 / Layer sizes: 10 1 Training error: 0.484221 / Test error: 0.450548 / Layer sizes: 10 1 Training error: 0.480993 / Test error: 0.445237 / Layer sizes: 10 1 Training error: 0.525226 / Test error: 0.438060 / Layer sizes: 10 10 1 Training error: 0.473495 / Test error: 0.432886 / Layer sizes: 10 1 Training error: 0.460816 / Test error: 0.424557 / Layer sizes: 10 1 Training error: 0.457403 / Test error: 0.418425 / Layer sizes: 10 1 Training error: 0.449252 / Test error: 0.410135 / Layer sizes: 10 1 Training error: 0.445164 / Test error: 0.399043 / Layer sizes: 10 1 Training error: 0.444660 / Test error: 0.394926 / Layer sizes: 10 1 Training error: 0.433099 / Test error: 0.377440 / Layer sizes: 10 1 Training error: 0.424947 / Test error: 0.371864 / Layer sizes: 10 1 Training error: 0.423372 / Test error: 0.363640 / Layer sizes: 10 1 Training error: 0.401669 / Test error: 0.363596 / Layer sizes: 10 10 1 Training error: 0.395858 / Test error: 0.354933 / Layer sizes: 10 10 1 Training error: 0.393308 / Test error: 0.354933 / Layer sizes: 10 10 1 Training error: 0.390854 / Test error: 0.354454 / Layer sizes: 10 10 1 Training error: 0.392734 / Test error: 0.353676 / Layer sizes: 10 1 Training error: 0.391795 / Test error: 0.351168 / Layer sizes: 10 1 Training error: 0.375401 / Test error: 0.346023 / Layer sizes: 10 10 1 Training error: 0.373442 / Test error: 0.340607 / Layer sizes: 10 10 1 Training error: 0.389497 / Test error: 0.340565 / Layer sizes: 10 1 Training error: 0.381383 / Test error: 0.328773 / Layer sizes: 10 1 Training error: 0.376902 / Test error: 0.328310 / Layer sizes: 10 1 Training error: 0.342605 / Test error: 0.325601 / Layer sizes: 10 10 1 Training error: 0.341120 / Test error: 0.323197 / Layer sizes: 10 10 1 Training error: 0.339358 / Test error: 0.309696 / Layer sizes: 10 10 1 Training error: 0.339040 / Test error: 0.303194 / Layer sizes: 10 10 1 Training error: 0.319773 / Test error: 0.298281 / Layer sizes: 10 10 1 Training error: 0.316989 / Test error: 0.297036 / Layer sizes: 10 10 1 Training error: 0.311205 / Test error: 0.296262 / Layer sizes: 10 10 1 Training error: 0.309067 / Test error: 0.284830 / Layer sizes: 10 10 1 Training error: 0.306797 / Test error: 0.278805 / Layer sizes: 10 10 1 Training error: 0.305810 / Test error: 0.274637 / Layer sizes: 10 10 1 Training error: 0.149530 / Test error: 0.243410 / Layer sizes: 10 10 10 1 Training error: 0.124222 / Test error: 0.233578 / Layer sizes: 10 10 10 1 Training error: 0.089761 / Test error: 0.224309 / Layer sizes: 10 10 10 1 Training error: 0.089301 / Test error: 0.219446 / Layer sizes: 10 10 10 1 Training error: 0.074658 / Test error: 0.215034 / Layer sizes: 10 10 10 1 Training error: 0.252510 / Test error: 0.214122 / Layer sizes: 10 3 1 Training error: 0.251830 / Test error: 0.213350 / Layer sizes: 10 3 1 Training error: 0.026962 / Test error: 0.209782 / Layer sizes: 10 7 1 Training error: 0.026883 / Test error: 0.203371 / Layer sizes: 10 7 1 Training error: 0.244581 / Test error: 0.203098 / Layer sizes: 10 3 1 Training error: 0.244452 / Test error: 0.202392 / Layer sizes: 10 3 1 Training error: 0.244329 / Test error: 0.199600 / Layer sizes: 10 3 1 Training error: 0.243253 / Test error: 0.199034 / Layer sizes: 10 3 1 Training error: 0.243246 / Test error: 0.198154 / Layer sizes: 10 3 1 Training error: 0.243159 / Test error: 0.196412 / Layer sizes: 10 3 1 Training error: 0.242818 / Test error: 0.195229 / Layer sizes: 10 3 1 Training error: 0.016433 / Test error: 0.184198 / Layer sizes: 10 7 1 Training error: 0.016405 / Test error: 0.182618 / Layer sizes: 10 7 1 Training error: 0.015996 / Test error: 0.172230 / Layer sizes: 10 7 1 Training error: 0.015603 / Test error: 0.171572 / Layer sizes: 10 7 1 Training error: 0.015494 / Test error: 0.170908 / Layer sizes: 10 7 1 Training error: 0.015493 / Test error: 0.169453 / Layer sizes: 10 7 1 Training error: 0.015311 / Test error: 0.168037 / Layer sizes: 10 7 1 Training error: 0.015155 / Test error: 0.162106 / Layer sizes: 10 7 1 Training error: 0.015047 / Test error: 0.161927 / Layer sizes: 10 7 1 Training error: 0.226826 / Test error: 0.161649 / Layer sizes: 10 3 1 Training error: 0.117914 / Test error: 0.159810 / Layer sizes: 10 3 1 Training error: 0.114740 / Test error: 0.157442 / Layer sizes: 10 3 1 Training error: 0.113674 / Test error: 0.156751 / Layer sizes: 10 3 1 Training error: 0.113426 / Test error: 0.154409 / Layer sizes: 10 3 1 Training error: 0.111734 / Test error: 0.152262 / Layer sizes: 10 3 1 Training error: 0.111451 / Test error: 0.149043 / Layer sizes: 10 3 1 Training error: 0.107038 / Test error: 0.145605 / Layer sizes: 10 3 1 Training error: 0.103656 / Test error: 0.142491 / Layer sizes: 10 3 1 Training error: 0.101346 / Test error: 0.140903 / Layer sizes: 10 3 1 Training error: 0.098841 / Test error: 0.138221 / Layer sizes: 10 3 1 Training error: 0.098447 / Test error: 0.137078 / Layer sizes: 10 3 1 Training error: 0.068778 / Test error: 0.135176 / Layer sizes: 10 3 1 Training error: 0.068713 / Test error: 0.133177 / Layer sizes: 10 3 1 Training error: 0.068444 / Test error: 0.132492 / Layer sizes: 10 3 1 Training error: 0.068392 / Test error: 0.130979 / Layer sizes: 10 3 1 Training error: 0.068344 / Test error: 0.130456 / Layer sizes: 10 3 1 Training error: 0.061129 / Test error: 0.130389 / Layer sizes: 10 3 1 Training error: 0.060848 / Test error: 0.128994 / Layer sizes: 10 3 1 Training error: 0.050536 / Test error: 0.127685 / Layer sizes: 10 3 1 Training error: 0.049231 / Test error: 0.123730 / Layer sizes: 10 3 1 Training error: 0.045173 / Test error: 0.122463 / Layer sizes: 10 3 1 Training error: 0.000001 / Test error: 0.083165 / Layer sizes: 10 10 10 1 Training error: 0.000001 / Test error: 0.082942 / 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. 80.47 % correct. 19.53 % wrong. Limit: 17.98 %. Test failed, please try again. 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.25591 + 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.PYZFdj 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.aovHWh 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.xycEAi 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.YpcqJk find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.adOVxj 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 67.33user 0.70system 1:45.10elapsed 64%CPU (0avgtext+0avgdata 35808maxresident)k 0inputs+0outputs (0major+162823minor)pagefaults 0swaps 74.68user 3.47system 2:02.18elapsed 63%CPU (0avgtext+0avgdata 108856maxresident)k 42256inputs+0outputs (0major+483970minor)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 2020-05-29 13:58:22.982221965 +0000 @@ -11,2 +11,3 @@ Requires: libm.so.6(GLIBC_2.1) +Requires: libm.so.6(GLIBC_2.29) Requires: rtld(GNU_HASH)