<86>Jan 10 11:07:36 userdel[251787]: delete user 'rooter' <86>Jan 10 11:07:36 userdel[251787]: removed group 'rooter' owned by 'rooter' <86>Jan 10 11:07:36 userdel[251787]: removed shadow group 'rooter' owned by 'rooter' <86>Jan 10 11:07:36 groupadd[251905]: group added to /etc/group: name=rooter, GID=627 <86>Jan 10 11:07:36 groupadd[251905]: new group: name=rooter, GID=627 <86>Jan 10 11:07:36 useradd[251960]: new user: name=rooter, UID=627, GID=627, home=/root, shell=/bin/bash <86>Jan 10 11:07:36 userdel[252056]: delete user 'builder' <86>Jan 10 11:07:36 groupadd[252136]: group added to /etc/group: name=builder, GID=628 <86>Jan 10 11:07:36 groupadd[252136]: new group: name=builder, GID=628 <86>Jan 10 11:07:36 useradd[252173]: new user: name=builder, UID=628, GID=628, home=/usr/src, shell=/bin/bash <13>Jan 10 11:07:40 rpmi: libruby-2.5.9-alt1 p9+261867.500.5.1 1606313968 installed <13>Jan 10 11:07:40 rpmi: libp11-kit-0.23.15-alt2 p9+254920.2400.19.1 1601385903 installed <13>Jan 10 11:07:40 rpmi: libtasn1-4.14-alt1 p9+235792.100.2.1 1565425233 installed <13>Jan 10 11:07:40 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Jan 10 11:07:40 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>Jan 10 11:07:40 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jan 10 11:07:40 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>Jan 10 11:07:40 rpmi: ca-certificates-2020.06.29-alt1 p9+258899.100.3.1 1601998604 installed <13>Jan 10 11:07:40 rpmi: ca-trust-0.1.2-alt1 p9+233349.100.1.1 1561655062 installed <13>Jan 10 11:07:40 rpmi: p11-kit-trust-0.23.15-alt2 p9+254920.2400.19.1 1601385903 installed <13>Jan 10 11:07:40 rpmi: libcrypto1.1-1.1.1i-alt1 p9+263105.100.1.1 1607446292 installed <13>Jan 10 11:07:40 rpmi: libssl1.1-1.1.1i-alt1 p9+263105.100.1.1 1607446292 installed <13>Jan 10 11:07:40 rpmi: openssl-1.1.1i-alt1 p9+263105.100.1.1 1607446292 installed <13>Jan 10 11:07:41 rpmi: ruby-rubygems-update-3.0.4-alt1 p9+247371.35300.135.1 1590436206 installed <13>Jan 10 11:07:41 rpmi: gem-did-you-mean-1.3.0-alt2.1 p9+247371.40400.161.1 1591376055 installed <13>Jan 10 11:07:41 rpmi: gem-minitest-5.14.0-alt1.1 p9+247371.67710.170.1 1592235999 installed <13>Jan 10 11:07:41 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Jan 10 11:07:41 rpmi: gem-rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Jan 10 11:07:41 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Jan 10 11:07:41 rpmi: gem-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Jan 10 11:07:41 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jan 10 11:07:41 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jan 10 11:07:41 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>Jan 10 11:07:41 rpmi: rake-13.0.1-alt1 p9+247371.77140.170.1 1592237858 installed <13>Jan 10 11:07:41 rpmi: erb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Jan 10 11:07:41 rpmi: irb-2.5.9-alt1 p9+261867.500.5.1 1606313941 installed <13>Jan 10 11:07:42 rpmi: gem-bundler-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Jan 10 11:07:42 rpmi: gem-test-unit-3.3.5-alt0.1 p9+247371.60440.162.1 1591424158 installed <13>Jan 10 11:07:42 rpmi: gem-power-assert-1.1.7-alt1 p9+247371.60200.162.1 1591424056 installed <13>Jan 10 11:07:42 rpmi: ruby-stdlibs-2.5.9-alt1 p9+261867.500.5.1 1606313968 installed <13>Jan 10 11:07:42 rpmi: bundle-2.1.4-alt1 p9+247371.33100.135.1 1590435793 installed <13>Jan 10 11:07:42 rpmi: ruby-2.5.9-alt1 p9+261867.500.5.1 1606313968 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.2838 + 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.22263 + 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] 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] 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] double *continuous_input_stats; ^~~~~~~~~~~~~~~~~~~~~~ auto-nng.c:910:107: warning: 'continuous_output_stats' may be used uninitialized in this function [-Wmaybe-uninitialized] 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] if (continuous_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:897:33: warning: 'binary_output_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (binary_output_cols[j] == i) { ~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:890:36: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] if (continuous_input_cols[j] == i) { ~~~~~~~~~~~~~~~~~~~~~^~~ auto-nng.c:883:32: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] 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.37111 + 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.96216 + 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: 0.993667 / Test error: 0.988102 / Layer sizes: 10 3 1 Training error: 0.993406 / Test error: 0.986488 / Layer sizes: 10 7 1 Training error: 0.986991 / Test error: 0.978283 / Layer sizes: 10 7 1 Training error: 0.984474 / Test error: 0.971069 / Layer sizes: 10 7 1 Training error: 0.980330 / Test error: 0.959560 / Layer sizes: 10 7 1 Training error: 0.961097 / Test error: 0.957729 / Layer sizes: 10 1 Training error: 0.927413 / Test error: 0.930658 / Layer sizes: 10 1 Training error: 0.892487 / Test error: 0.893154 / Layer sizes: 10 1 Training error: 0.876446 / Test error: 0.882932 / Layer sizes: 10 1 Training error: 0.817376 / Test error: 0.854579 / Layer sizes: 10 1 Training error: 0.790488 / Test error: 0.838711 / Layer sizes: 10 1 Training error: 0.761076 / Test error: 0.812956 / Layer sizes: 10 1 Training error: 0.759697 / Test error: 0.805984 / Layer sizes: 10 1 Training error: 0.734213 / Test error: 0.792702 / Layer sizes: 10 1 Training error: 0.704959 / Test error: 0.762576 / Layer sizes: 10 1 Training error: 0.693369 / Test error: 0.731808 / Layer sizes: 10 1 Training error: 0.661175 / Test error: 0.725292 / Layer sizes: 10 1 Training error: 0.637938 / Test error: 0.703901 / Layer sizes: 10 1 Training error: 0.632967 / Test error: 0.687256 / Layer sizes: 10 1 Training error: 0.615812 / Test error: 0.667155 / Layer sizes: 10 1 Training error: 0.582626 / Test error: 0.664440 / Layer sizes: 10 1 Training error: 0.542680 / Test error: 0.655853 / Layer sizes: 10 1 Training error: 0.535807 / Test error: 0.638069 / Layer sizes: 10 1 Training error: 0.526946 / Test error: 0.619405 / Layer sizes: 10 1 Training error: 0.526578 / Test error: 0.618307 / Layer sizes: 10 1 Training error: 0.518808 / Test error: 0.610508 / Layer sizes: 10 1 Training error: 0.517256 / Test error: 0.603075 / Layer sizes: 10 1 Training error: 0.504825 / Test error: 0.596710 / Layer sizes: 10 1 Training error: 0.481903 / Test error: 0.568215 / Layer sizes: 10 1 Training error: 0.478248 / Test error: 0.558695 / Layer sizes: 10 1 Training error: 0.478062 / Test error: 0.558656 / Layer sizes: 10 1 Training error: 0.458867 / Test error: 0.552663 / Layer sizes: 10 1 Training error: 0.457774 / Test error: 0.548814 / Layer sizes: 10 1 Training error: 0.454083 / Test error: 0.546859 / Layer sizes: 10 1 Training error: 0.442941 / Test error: 0.536526 / Layer sizes: 10 1 Training error: 0.442702 / Test error: 0.528074 / Layer sizes: 10 1 Training error: 0.436824 / Test error: 0.525068 / Layer sizes: 10 1 Training error: 0.424912 / Test error: 0.518726 / Layer sizes: 10 1 Training error: 0.421588 / Test error: 0.517183 / Layer sizes: 10 1 Training error: 0.420501 / Test error: 0.514385 / Layer sizes: 10 1 Training error: 0.413943 / Test error: 0.512660 / Layer sizes: 10 1 Training error: 0.400544 / Test error: 0.509872 / Layer sizes: 10 1 Training error: 0.393763 / Test error: 0.490563 / Layer sizes: 10 1 Training error: 0.389037 / Test error: 0.474762 / Layer sizes: 10 1 Training error: 0.385581 / Test error: 0.473091 / Layer sizes: 10 1 Training error: 0.380863 / Test error: 0.464492 / Layer sizes: 10 1 Training error: 0.378879 / Test error: 0.450963 / Layer sizes: 10 1 Training error: 0.374172 / Test error: 0.446650 / Layer sizes: 10 1 Training error: 0.339731 / Test error: 0.446083 / Layer sizes: 10 1 Training error: 0.334889 / Test error: 0.440333 / Layer sizes: 10 1 Training error: 0.328790 / Test error: 0.431118 / Layer sizes: 10 1 Training error: 0.321481 / Test error: 0.429322 / Layer sizes: 10 1 Training error: 0.317551 / Test error: 0.428328 / Layer sizes: 10 1 Training error: 0.313008 / Test error: 0.427683 / Layer sizes: 10 1 Training error: 0.332179 / Test error: 0.424559 / Layer sizes: 10 10 1 Training error: 0.326305 / Test error: 0.416000 / Layer sizes: 10 10 1 Training error: 0.320804 / Test error: 0.415913 / Layer sizes: 10 10 1 Training error: 0.301031 / Test error: 0.414099 / Layer sizes: 10 1 Training error: 0.297668 / Test error: 0.412217 / Layer sizes: 10 1 Training error: 0.297469 / Test error: 0.411184 / Layer sizes: 10 1 Training error: 0.296384 / Test error: 0.409487 / Layer sizes: 10 1 Training error: 0.292546 / Test error: 0.407950 / Layer sizes: 10 1 Training error: 0.291945 / Test error: 0.407122 / Layer sizes: 10 1 Training error: 0.291706 / Test error: 0.401676 / Layer sizes: 10 1 Training error: 0.290976 / Test error: 0.400666 / Layer sizes: 10 1 Training error: 0.268018 / Test error: 0.400455 / Layer sizes: 10 10 1 Training error: 0.265827 / Test error: 0.395467 / Layer sizes: 10 10 1 Training error: 0.259946 / Test error: 0.394644 / Layer sizes: 10 10 1 Training error: 0.250611 / Test error: 0.392918 / Layer sizes: 10 10 1 Training error: 0.239566 / Test error: 0.386603 / Layer sizes: 10 10 1 Training error: 0.301670 / Test error: 0.384444 / Layer sizes: 10 10 10 1 Training error: 0.286088 / Test error: 0.373743 / Layer sizes: 10 10 10 1 Training error: 0.248221 / Test error: 0.371783 / Layer sizes: 10 10 10 1 Training error: 0.247488 / Test error: 0.364059 / Layer sizes: 10 10 10 1 Training error: 0.242591 / Test error: 0.362659 / Layer sizes: 10 10 10 1 Training error: 0.225432 / Test error: 0.352010 / Layer sizes: 10 10 10 1 Training error: 0.216399 / Test error: 0.340267 / Layer sizes: 10 10 10 1 Training error: 0.211845 / Test error: 0.338554 / Layer sizes: 10 10 10 1 Training error: 0.209712 / Test error: 0.337913 / Layer sizes: 10 10 10 1 Training error: 0.208319 / Test error: 0.337744 / Layer sizes: 10 10 10 1 Training error: 0.180102 / Test error: 0.332951 / Layer sizes: 10 10 10 1 Training error: 0.177626 / Test error: 0.327654 / Layer sizes: 10 10 10 1 Training error: 0.163657 / Test error: 0.322548 / Layer sizes: 10 10 10 1 Training error: 0.156138 / Test error: 0.317790 / Layer sizes: 10 10 10 1 Training error: 0.141165 / Test error: 0.314072 / Layer sizes: 10 10 10 1 Training error: 0.116429 / Test error: 0.311702 / Layer sizes: 10 10 10 1 Training error: 0.113088 / Test error: 0.302870 / Layer sizes: 10 10 10 1 Training error: 0.113004 / Test error: 0.300290 / Layer sizes: 10 10 10 1 Training error: 0.110307 / Test error: 0.292848 / Layer sizes: 10 10 10 1 Training error: 0.109512 / Test error: 0.289963 / Layer sizes: 10 10 10 1 Training error: 0.108946 / Test error: 0.289935 / Layer sizes: 10 10 10 1 Training error: 0.108844 / Test error: 0.283468 / Layer sizes: 10 10 10 1 Training error: 0.104881 / Test error: 0.280918 / Layer sizes: 10 10 10 1 Training error: 0.103248 / Test error: 0.275921 / Layer sizes: 10 10 10 1 Training error: 0.103064 / Test error: 0.272578 / Layer sizes: 10 10 10 1 Training error: 0.102605 / Test error: 0.270406 / Layer sizes: 10 10 10 1 Training error: 0.100468 / Test error: 0.267443 / Layer sizes: 10 10 10 1 Training error: 0.098374 / Test error: 0.262018 / Layer sizes: 10 10 10 1 Training error: 0.098049 / Test error: 0.260942 / Layer sizes: 10 10 10 1 Training error: 0.098032 / Test error: 0.254914 / Layer sizes: 10 10 10 1 Training error: 0.092961 / Test error: 0.252057 / Layer sizes: 10 10 10 1 Training error: 0.092522 / Test error: 0.247218 / Layer sizes: 10 10 10 1 Training error: 0.089593 / Test error: 0.245390 / Layer sizes: 10 10 10 1 Training error: 0.089326 / Test error: 0.243362 / Layer sizes: 10 10 10 1 Training error: 0.088646 / Test error: 0.241848 / Layer sizes: 10 10 10 1 Training error: 0.086154 / Test error: 0.229029 / Layer sizes: 10 10 10 1 Training error: 0.086020 / Test error: 0.226085 / Layer sizes: 10 10 10 1 Training error: 0.000132 / Test error: 0.203945 / Layer sizes: 10 10 10 1 Training error: 0.000131 / Test error: 0.203175 / Layer sizes: 10 10 10 1 Training error: 0.000001 / Test error: 0.166450 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.166351 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.124995 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.083330 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.041666 / 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. 88.21 % correct. 11.79 % wrong. Limit: 17.15 %. 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.4396 + 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.bbbQDP 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.wdSNIX 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), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.ON7Vw2 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.uLrDdK find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.sZng90 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 48.72user 0.32system 1:43.27elapsed 47%CPU (0avgtext+0avgdata 37456maxresident)k 0inputs+0outputs (0major+165954minor)pagefaults 0swaps 55.14user 2.55system 2:01.40elapsed 47%CPU (0avgtext+0avgdata 117032maxresident)k 0inputs+0outputs (0major+482090minor)pagefaults 0swaps