<86>Feb 15 07:41:46 userdel[41203]: delete user 'rooter' <86>Feb 15 07:41:46 groupadd[41306]: group added to /etc/group: name=rooter, GID=549 <86>Feb 15 07:41:46 groupadd[41306]: group added to /etc/gshadow: name=rooter <86>Feb 15 07:41:46 groupadd[41306]: new group: name=rooter, GID=549 <86>Feb 15 07:41:46 useradd[41403]: new user: name=rooter, UID=549, GID=549, home=/root, shell=/bin/bash <86>Feb 15 07:41:46 userdel[41713]: delete user 'builder' <86>Feb 15 07:41:46 groupadd[42288]: group added to /etc/group: name=builder, GID=550 <86>Feb 15 07:41:46 groupadd[42288]: group added to /etc/gshadow: name=builder <86>Feb 15 07:41:46 groupadd[42288]: new group: name=builder, GID=550 <86>Feb 15 07:41:46 useradd[42408]: new user: name=builder, UID=550, GID=550, home=/usr/src, shell=/bin/bash <13>Feb 15 07:41:50 rpmi: libruby-2.5.4-alt2 sisyphus+219587.400.1.1 1547808517 installed <13>Feb 15 07:41:50 rpmi: libtasn1-4.13-alt2 1521133850 installed <13>Feb 15 07:41:50 rpmi: libp11-kit-0.23.9-alt5 1525798298 installed <13>Feb 15 07:41:50 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Feb 15 07:41:50 rpmi: libyaml2-0.2.1-alt1 sisyphus.214707.100 1539464411 installed <13>Feb 15 07:41:50 rpmi: alternatives-0.5.0-alt1 sisyphus.219012.300 1546745004 installed <13>Feb 15 07:41:50 rpmi: ca-certificates-2019.02.01-alt1 sisyphus+220384.200.1.1 1549032756 installed <13>Feb 15 07:41:50 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Feb 15 07:41:50 rpmi: p11-kit-trust-0.23.9-alt5 1525798298 installed <13>Feb 15 07:41:50 rpmi: libcrypto1.1-1.1.0j-alt1 sisyphus.216647.100 1542743878 installed <13>Feb 15 07:41:50 rpmi: libssl1.1-1.1.0j-alt1 sisyphus.216647.100 1542743878 installed <13>Feb 15 07:41:50 rpmi: ruby-rubygems-update-3.0.1-alt1 sisyphus+218713.1100.2.1 1547736306 installed <13>Feb 15 07:41:50 rpmi: gem-did-you-mean-1.3.0-alt1 sisyphus+219587.100.1.1 1547808061 installed <13>Feb 15 07:41:50 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>Feb 15 07:41:50 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>Feb 15 07:41:50 rpmi: gem-power-assert-1.1.3-alt1 sisyphus+219345.3200.8.1 1547631761 installed <13>Feb 15 07:41:50 rpmi: ruby-rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>Feb 15 07:41:50 rpmi: ruby-test-unit-1:3.2.9-alt1 sisyphus+219345.3100.8.1 1547631703 installed <13>Feb 15 07:41:50 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>Feb 15 07:41:50 rpmi: gem-2.5.4-alt2 sisyphus+219587.400.1.1 1547808487 installed <13>Feb 15 07:41:50 rpmi: ruby-rdoc-6.1.1-alt2 sisyphus+219587.200.1.1 1547808132 installed <13>Feb 15 07:41:51 rpmi: ruby-stdlibs-2.5.4-alt2 sisyphus+219587.400.1.1 1547808517 installed <13>Feb 15 07:41:51 rpmi: ri-6.1.1-alt2 sisyphus+219587.200.1.1 1547808132 installed <13>Feb 15 07:41:51 rpmi: rdoc-6.1.1-alt2 sisyphus+219587.200.1.1 1547808132 installed <13>Feb 15 07:41:51 rpmi: erb-2.5.4-alt2 sisyphus+219587.400.1.1 1547808487 installed <13>Feb 15 07:41:51 rpmi: irb-2.5.4-alt2 sisyphus+219587.400.1.1 1547808487 installed <13>Feb 15 07:41:51 rpmi: ruby-bundler-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Feb 15 07:41:51 rpmi: bundle-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>Feb 15 07:41:51 rpmi: ruby-2.5.4-alt2 sisyphus+219587.400.1.1 1547808517 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.86674 + 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.47792 + 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.54196 + 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.75200 + 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: 0.985116 / Test error: 0.986055 / Layer sizes: 10 10 1 Training error: 0.994306 / Test error: 0.979064 / Layer sizes: 10 1 Training error: 0.975233 / Test error: 0.977879 / Layer sizes: 10 3 3 1 Training error: 0.969449 / Test error: 0.972969 / Layer sizes: 10 3 3 1 Training error: 0.967141 / Test error: 0.970646 / Layer sizes: 10 10 10 1 Training error: 0.969586 / Test error: 0.968984 / Layer sizes: 10 7 1 Training error: 0.963537 / Test error: 0.968070 / Layer sizes: 10 3 3 1 Training error: 0.918113 / Test error: 0.957247 / Layer sizes: 10 1 Training error: 0.907979 / Test error: 0.930122 / Layer sizes: 10 1 Training error: 0.907912 / Test error: 0.910978 / Layer sizes: 10 1 Training error: 0.860251 / Test error: 0.870439 / Layer sizes: 10 1 Training error: 0.855524 / Test error: 0.859946 / Layer sizes: 10 1 Training error: 0.844256 / Test error: 0.857024 / Layer sizes: 10 1 Training error: 0.822647 / Test error: 0.845377 / Layer sizes: 10 1 Training error: 0.795219 / Test error: 0.835947 / Layer sizes: 10 1 Training error: 0.766622 / Test error: 0.806868 / Layer sizes: 10 1 Training error: 0.711930 / Test error: 0.781320 / Layer sizes: 10 1 Training error: 0.700480 / Test error: 0.759499 / Layer sizes: 10 1 Training error: 0.693548 / Test error: 0.746724 / Layer sizes: 10 1 Training error: 0.668556 / Test error: 0.723152 / Layer sizes: 10 1 Training error: 0.644622 / Test error: 0.713711 / Layer sizes: 10 1 Training error: 0.627354 / Test error: 0.700374 / Layer sizes: 10 1 Training error: 0.618696 / Test error: 0.685003 / Layer sizes: 10 1 Training error: 0.606198 / Test error: 0.673034 / Layer sizes: 10 1 Training error: 0.595226 / Test error: 0.664161 / Layer sizes: 10 1 Training error: 0.586425 / Test error: 0.643800 / Layer sizes: 10 1 Training error: 0.568467 / Test error: 0.629960 / Layer sizes: 10 1 Training error: 0.567958 / Test error: 0.626992 / Layer sizes: 10 1 Training error: 0.557023 / Test error: 0.617830 / Layer sizes: 10 1 Training error: 0.542739 / Test error: 0.608631 / Layer sizes: 10 1 Training error: 0.539710 / Test error: 0.605216 / Layer sizes: 10 1 Training error: 0.539256 / Test error: 0.602917 / Layer sizes: 10 1 Training error: 0.527676 / Test error: 0.599840 / Layer sizes: 10 1 Training error: 0.514718 / Test error: 0.555305 / Layer sizes: 10 1 Training error: 0.495950 / Test error: 0.537343 / Layer sizes: 10 1 Training error: 0.494245 / Test error: 0.530407 / Layer sizes: 10 1 Training error: 0.466641 / Test error: 0.524053 / Layer sizes: 10 1 Training error: 0.464768 / Test error: 0.516122 / Layer sizes: 10 1 Training error: 0.447328 / Test error: 0.499775 / Layer sizes: 10 1 Training error: 0.436049 / Test error: 0.495725 / Layer sizes: 10 1 Training error: 0.431997 / Test error: 0.495269 / Layer sizes: 10 1 Training error: 0.428170 / Test error: 0.491636 / Layer sizes: 10 1 Training error: 0.427562 / Test error: 0.482295 / Layer sizes: 10 1 Training error: 0.415378 / Test error: 0.476953 / Layer sizes: 10 1 Training error: 0.407606 / Test error: 0.457866 / Layer sizes: 10 1 Training error: 0.399813 / Test error: 0.448964 / Layer sizes: 10 1 Training error: 0.398148 / Test error: 0.446798 / Layer sizes: 10 1 Training error: 0.354422 / Test error: 0.444390 / Layer sizes: 10 10 1 Training error: 0.351311 / Test error: 0.428364 / Layer sizes: 10 10 1 Training error: 0.350310 / Test error: 0.418004 / Layer sizes: 10 10 1 Training error: 0.343153 / Test error: 0.400459 / Layer sizes: 10 10 1 Training error: 0.337689 / Test error: 0.378203 / Layer sizes: 10 10 1 Training error: 0.334521 / Test error: 0.376841 / Layer sizes: 10 10 1 Training error: 0.331147 / Test error: 0.352149 / Layer sizes: 10 10 1 Training error: 0.322587 / Test error: 0.349393 / Layer sizes: 10 10 1 Training error: 0.312915 / Test error: 0.346210 / Layer sizes: 10 10 1 Training error: 0.309934 / Test error: 0.346182 / Layer sizes: 10 10 1 Training error: 0.304587 / Test error: 0.341114 / Layer sizes: 10 10 1 Training error: 0.298844 / Test error: 0.339161 / Layer sizes: 10 10 1 Training error: 0.308663 / Test error: 0.332522 / Layer sizes: 10 1 Training error: 0.307298 / Test error: 0.325348 / Layer sizes: 10 1 Training error: 0.304337 / Test error: 0.323582 / Layer sizes: 10 1 Training error: 0.296918 / Test error: 0.316166 / Layer sizes: 10 1 Training error: 0.292456 / Test error: 0.315042 / Layer sizes: 10 1 Training error: 0.290826 / Test error: 0.314301 / Layer sizes: 10 1 Training error: 0.285332 / Test error: 0.313591 / Layer sizes: 10 1 Training error: 0.284881 / Test error: 0.313395 / Layer sizes: 10 1 Training error: 0.245735 / Test error: 0.304619 / Layer sizes: 10 10 1 Training error: 0.244829 / Test error: 0.300894 / Layer sizes: 10 10 1 Training error: 0.255418 / Test error: 0.290993 / Layer sizes: 10 7 1 Training error: 0.253950 / Test error: 0.285302 / Layer sizes: 10 7 1 Training error: 0.222297 / Test error: 0.269156 / Layer sizes: 10 10 1 Training error: 0.233236 / Test error: 0.265865 / Layer sizes: 10 7 1 Training error: 0.254189 / Test error: 0.265469 / Layer sizes: 10 3 1 Training error: 0.243972 / Test error: 0.264565 / Layer sizes: 10 3 1 Training error: 0.204614 / Test error: 0.260082 / Layer sizes: 10 7 1 Training error: 0.199464 / Test error: 0.257246 / Layer sizes: 10 7 1 Training error: 0.203859 / Test error: 0.256665 / Layer sizes: 10 10 1 Training error: 0.203183 / Test error: 0.255278 / Layer sizes: 10 10 1 Training error: 0.217406 / Test error: 0.255246 / Layer sizes: 10 3 1 Training error: 0.182991 / Test error: 0.240078 / Layer sizes: 10 10 1 Training error: 0.155631 / Test error: 0.239862 / Layer sizes: 10 7 1 Training error: 0.148710 / Test error: 0.239355 / Layer sizes: 10 7 1 Training error: 0.139720 / Test error: 0.238117 / Layer sizes: 10 10 10 1 Training error: 0.144219 / Test error: 0.236130 / Layer sizes: 10 7 1 Training error: 0.141920 / Test error: 0.225287 / Layer sizes: 10 7 1 Training error: 0.137533 / Test error: 0.221824 / Layer sizes: 10 7 1 Training error: 0.137476 / Test error: 0.221120 / Layer sizes: 10 7 1 Training error: 0.136839 / Test error: 0.218636 / Layer sizes: 10 7 1 Training error: 0.132075 / Test error: 0.213465 / Layer sizes: 10 7 1 Training error: 0.131071 / Test error: 0.206861 / Layer sizes: 10 7 1 Training error: 0.128119 / Test error: 0.200105 / Layer sizes: 10 7 1 Training error: 0.122296 / Test error: 0.198553 / Layer sizes: 10 7 1 Training error: 0.121120 / Test error: 0.197302 / Layer sizes: 10 7 1 Training error: 0.119420 / Test error: 0.195681 / Layer sizes: 10 7 1 Training error: 0.118187 / Test error: 0.195011 / Layer sizes: 10 7 1 Training error: 0.116745 / Test error: 0.191021 / Layer sizes: 10 7 1 Training error: 0.115157 / Test error: 0.187639 / Layer sizes: 10 7 1 Training error: 0.114957 / Test error: 0.186040 / Layer sizes: 10 7 1 Training error: 0.097295 / Test error: 0.181639 / Layer sizes: 10 7 1 Training error: 0.096373 / Test error: 0.176932 / Layer sizes: 10 7 1 Training error: 0.085823 / Test error: 0.174550 / Layer sizes: 10 7 1 Training error: 0.084878 / Test error: 0.173382 / Layer sizes: 10 7 1 Training error: 0.084334 / Test error: 0.165669 / Layer sizes: 10 7 1 Training error: 0.083676 / Test error: 0.164192 / Layer sizes: 10 7 1 Training error: 0.082347 / Test error: 0.163265 / Layer sizes: 10 7 1 Training error: 0.081047 / Test error: 0.162721 / Layer sizes: 10 7 1 Training error: 0.080148 / Test error: 0.155117 / Layer sizes: 10 7 1 Training error: 0.079640 / Test error: 0.150650 / Layer sizes: 10 7 1 Training error: 0.078826 / Test error: 0.146823 / Layer sizes: 10 7 1 Training error: 0.066319 / Test error: 0.144250 / Layer sizes: 10 7 1 Training error: 0.065625 / Test error: 0.140651 / Layer sizes: 10 7 1 Training error: 0.065429 / Test error: 0.138011 / Layer sizes: 10 7 1 Training error: 0.060898 / Test error: 0.136517 / Layer sizes: 10 7 1 Training error: 0.058265 / Test error: 0.133787 / Layer sizes: 10 7 1 Training error: 0.034421 / Test error: 0.132974 / Layer sizes: 10 7 1 Training error: 0.033175 / Test error: 0.132756 / Layer sizes: 10 7 1 Training error: 0.029707 / Test error: 0.130176 / Layer sizes: 10 7 1 Training error: 0.024696 / Test error: 0.123177 / Layer sizes: 10 7 1 Training error: 0.024592 / Test error: 0.122387 / Layer sizes: 10 7 1 Training error: 0.023357 / Test error: 0.121902 / Layer sizes: 10 7 1 Training error: 0.023329 / Test error: 0.119229 / Layer sizes: 10 7 1 Training error: 0.020802 / Test error: 0.119006 / Layer sizes: 10 7 1 Training error: 0.020108 / Test error: 0.117002 / Layer sizes: 10 7 1 Training error: 0.019854 / Test error: 0.112110 / Layer sizes: 10 7 1 Training error: 0.019093 / Test error: 0.111781 / Layer sizes: 10 7 1 Training error: 0.017583 / Test error: 0.108082 / Layer sizes: 10 7 1 Training error: 0.015295 / Test error: 0.104129 / Layer sizes: 10 7 1 Training error: 0.015234 / Test error: 0.102913 / Layer sizes: 10 7 1 Training error: 0.014919 / Test error: 0.100794 / Layer sizes: 10 7 1 Training error: 0.014232 / Test error: 0.099256 / Layer sizes: 10 7 1 Training error: 0.014031 / Test error: 0.096405 / Layer sizes: 10 7 1 Training error: 0.009041 / Test error: 0.090538 / Layer sizes: 10 7 1 Training error: 0.008931 / Test error: 0.088491 / Layer sizes: 10 7 1 Training error: 0.008922 / Test error: 0.087346 / Layer sizes: 10 7 1 Training error: 0.008851 / Test error: 0.086189 / Layer sizes: 10 7 1 Training error: 0.008179 / Test error: 0.085559 / Layer sizes: 10 7 1 Training error: 0.003818 / Test error: 0.085324 / Layer sizes: 10 7 1 Training error: 0.003797 / Test error: 0.084356 / Layer sizes: 10 7 1 Training error: 0.003732 / Test error: 0.083544 / Layer sizes: 10 7 1 Training error: 0.002003 / Test error: 0.082272 / Layer sizes: 10 7 1 Training error: 0.001998 / Test error: 0.082235 / Layer sizes: 10 7 1 Training error: 0.001914 / Test error: 0.080862 / Layer sizes: 10 7 1 Training error: 0.001913 / Test error: 0.080564 / Layer sizes: 10 7 1 Training error: 0.001892 / Test error: 0.080259 / Layer sizes: 10 7 1 Training error: 0.001863 / Test error: 0.080096 / Layer sizes: 10 7 1 Training error: 0.001860 / Test error: 0.079721 / Layer sizes: 10 7 1 Training error: 0.001849 / Test error: 0.078654 / Layer sizes: 10 7 1 Training error: 0.001848 / Test error: 0.078048 / Layer sizes: 10 7 1 Training error: 0.001835 / Test error: 0.077573 / Layer sizes: 10 7 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. 80.37 % correct. 19.63 % wrong. Limit: 17.97 %. 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.51810 + 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.IJcX08 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.qBsJLD find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) 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.uXwnJE 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.ZhaPX8 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.jt1qL8 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 43.11user 0.40system 1:42.63elapsed 42%CPU (0avgtext+0avgdata 37032maxresident)k 0inputs+0outputs (0major+163378minor)pagefaults 0swaps 52.73user 3.09system 2:00.63elapsed 46%CPU (0avgtext+0avgdata 121664maxresident)k 0inputs+0outputs (0major+614920minor)pagefaults 0swaps