<86>May 28 12:17:57 userdel[3591]: delete user 'rooter' <86>May 28 12:17:57 userdel[3591]: removed group 'rooter' owned by 'rooter' <86>May 28 12:17:57 userdel[3591]: removed shadow group 'rooter' owned by 'rooter' <86>May 28 12:17:57 groupadd[3596]: group added to /etc/group: name=rooter, GID=579 <86>May 28 12:17:57 groupadd[3596]: group added to /etc/gshadow: name=rooter <86>May 28 12:17:57 groupadd[3596]: new group: name=rooter, GID=579 <86>May 28 12:17:57 useradd[3600]: new user: name=rooter, UID=579, GID=579, home=/root, shell=/bin/bash <86>May 28 12:17:57 userdel[3607]: delete user 'builder' <86>May 28 12:17:57 userdel[3607]: removed group 'builder' owned by 'builder' <86>May 28 12:17:57 userdel[3607]: removed shadow group 'builder' owned by 'builder' <86>May 28 12:17:57 groupadd[3612]: group added to /etc/group: name=builder, GID=580 <86>May 28 12:17:57 groupadd[3612]: group added to /etc/gshadow: name=builder <86>May 28 12:17:57 groupadd[3612]: new group: name=builder, GID=580 <86>May 28 12:17:57 useradd[3616]: new user: name=builder, UID=580, GID=580, home=/usr/src, shell=/bin/bash <13>May 28 12:18:02 rpmi: libruby-2.5.5-alt2 sisyphus+228904.100.1.1 1556919098 installed <13>May 28 12:18:02 rpmi: libp11-kit-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 28 12:18:02 rpmi: libtasn1-4.13-alt2 1521133850 installed <13>May 28 12:18:02 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>May 28 12:18:02 rpmi: libyaml2-0.2.2-alt1 sisyphus+229134.100.1.1 1557342721 installed <13>May 28 12:18:02 rpmi: rpm-macros-alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 28 12:18:02 rpmi: alternatives-0.5.1-alt1 sisyphus+226946.100.1.1 1554830426 installed <13>May 28 12:18:02 rpmi: ca-certificates-2019.03.31-alt1 sisyphus+226302.100.1.1 1554055265 installed <13>May 28 12:18:02 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>May 28 12:18:02 rpmi: p11-kit-trust-0.23.15-alt1 sisyphus+226408.100.2.1 1554288204 installed <13>May 28 12:18:02 rpmi: libcrypto1.1-1.1.1b-alt2 sisyphus+227249.100.2.1 1555667822 installed <13>May 28 12:18:02 rpmi: libssl1.1-1.1.1b-alt2 sisyphus+227249.100.2.1 1555667822 installed <13>May 28 12:18:02 rpmi: ruby-rubygems-update-3.0.3-alt1 sisyphus+226411.5400.6.1 1554381326 installed <13>May 28 12:18:02 rpmi: gem-did-you-mean-1.3.0-alt1 sisyphus+219587.100.1.1 1547808061 installed <13>May 28 12:18:02 rpmi: ruby-minitest-5.11.3-alt1 sisyphus+219345.3500.8.1 1547631954 installed <13>May 28 12:18:02 rpmi: ruby-net-telnet-0.2.0-alt1 sisyphus+219345.2700.8.1 1547631566 installed <13>May 28 12:18:02 rpmi: gem-power-assert-1.1.4-alt1 sisyphus+226411.3200.6.1 1554380195 installed <13>May 28 12:18:02 rpmi: rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>May 28 12:18:02 rpmi: ruby-rake-12.3.2-alt2 sisyphus+218713.60.1.1 1547734935 installed <13>May 28 12:18:02 rpmi: ruby-test-unit-1:3.3.1-alt1 sisyphus+226411.5300.6.1 1554381151 installed <13>May 28 12:18:02 rpmi: ruby-xmlrpc-0.3.0-alt1 sisyphus+219345.3300.8.1 1547631818 installed <13>May 28 12:18:02 rpmi: gem-2.5.5-alt2 sisyphus+228904.100.1.1 1556919063 installed <13>May 28 12:18:02 rpmi: ri-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 28 12:18:02 rpmi: rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 28 12:18:02 rpmi: ruby-rdoc-6.1.1-alt3 sisyphus+220149.7500.44.1 1552167568 installed <13>May 28 12:18:02 rpmi: ruby-stdlibs-2.5.5-alt2 sisyphus+228904.100.1.1 1556919098 installed <13>May 28 12:18:02 rpmi: erb-2.5.5-alt2 sisyphus+228904.100.1.1 1556919063 installed <13>May 28 12:18:02 rpmi: irb-2.5.5-alt2 sisyphus+228904.100.1.1 1556919063 installed <13>May 28 12:18:02 rpmi: ruby-bundler-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>May 28 12:18:02 rpmi: bundle-2.0.1-alt1 sisyphus+218713.700.2.1 1547736109 installed <13>May 28 12:18:02 rpmi: ruby-2.5.5-alt2 sisyphus+228904.100.1.1 1556919098 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.20826 + 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.20826 + 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.88341 + 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.15089 + 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: 0.972831 / Test error: 0.951256 / Layer sizes: 10 1 Training error: 0.938463 / Test error: 0.924373 / Layer sizes: 10 1 Training error: 0.918494 / Test error: 0.890008 / Layer sizes: 10 1 Training error: 0.911675 / Test error: 0.885454 / Layer sizes: 10 1 Training error: 0.909868 / Test error: 0.882123 / Layer sizes: 10 1 Training error: 0.890520 / Test error: 0.848981 / Layer sizes: 10 1 Training error: 0.876498 / Test error: 0.840999 / Layer sizes: 10 1 Training error: 0.844056 / Test error: 0.810016 / Layer sizes: 10 1 Training error: 0.827228 / Test error: 0.808702 / Layer sizes: 10 1 Training error: 0.818740 / Test error: 0.793845 / Layer sizes: 10 1 Training error: 0.788982 / Test error: 0.775973 / Layer sizes: 10 1 Training error: 0.782812 / Test error: 0.757244 / Layer sizes: 10 1 Training error: 0.769316 / Test error: 0.743619 / Layer sizes: 10 1 Training error: 0.749274 / Test error: 0.733403 / Layer sizes: 10 1 Training error: 0.738787 / Test error: 0.704490 / Layer sizes: 10 1 Training error: 0.726931 / Test error: 0.697100 / Layer sizes: 10 1 Training error: 0.721303 / Test error: 0.692166 / Layer sizes: 10 1 Training error: 0.707450 / Test error: 0.685096 / Layer sizes: 10 1 Training error: 0.693081 / Test error: 0.670961 / Layer sizes: 10 1 Training error: 0.673111 / Test error: 0.653862 / Layer sizes: 10 1 Training error: 0.656570 / Test error: 0.639350 / Layer sizes: 10 1 Training error: 0.635496 / Test error: 0.610976 / Layer sizes: 10 1 Training error: 0.628522 / Test error: 0.602143 / Layer sizes: 10 1 Training error: 0.625923 / Test error: 0.587337 / Layer sizes: 10 1 Training error: 0.618988 / Test error: 0.571130 / Layer sizes: 10 1 Training error: 0.616502 / Test error: 0.562664 / Layer sizes: 10 1 Training error: 0.614230 / Test error: 0.547841 / Layer sizes: 10 1 Training error: 0.602540 / Test error: 0.534841 / Layer sizes: 10 1 Training error: 0.580351 / Test error: 0.505221 / Layer sizes: 10 1 Training error: 0.578111 / Test error: 0.499480 / Layer sizes: 10 1 Training error: 0.570833 / Test error: 0.495113 / Layer sizes: 10 1 Training error: 0.565549 / Test error: 0.479306 / Layer sizes: 10 1 Training error: 0.556608 / Test error: 0.477753 / Layer sizes: 10 1 Training error: 0.547812 / Test error: 0.469778 / Layer sizes: 10 1 Training error: 0.546366 / Test error: 0.463330 / Layer sizes: 10 1 Training error: 0.543116 / Test error: 0.459023 / Layer sizes: 10 1 Training error: 0.537668 / Test error: 0.458724 / Layer sizes: 10 1 Training error: 0.536473 / Test error: 0.455561 / Layer sizes: 10 1 Training error: 0.532080 / Test error: 0.453410 / Layer sizes: 10 1 Training error: 0.521148 / Test error: 0.446941 / Layer sizes: 10 1 Training error: 0.504683 / Test error: 0.434030 / Layer sizes: 10 1 Training error: 0.491419 / Test error: 0.410921 / Layer sizes: 10 1 Training error: 0.491209 / Test error: 0.402340 / Layer sizes: 10 1 Training error: 0.474096 / Test error: 0.391855 / Layer sizes: 10 1 Training error: 0.466614 / Test error: 0.380671 / Layer sizes: 10 1 Training error: 0.458459 / Test error: 0.377501 / Layer sizes: 10 1 Training error: 0.454485 / Test error: 0.377140 / Layer sizes: 10 1 Training error: 0.446676 / Test error: 0.373333 / Layer sizes: 10 1 Training error: 0.446250 / Test error: 0.369448 / Layer sizes: 10 1 Training error: 0.443926 / Test error: 0.366293 / Layer sizes: 10 1 Training error: 0.438602 / Test error: 0.358514 / Layer sizes: 10 1 Training error: 0.433246 / Test error: 0.356161 / Layer sizes: 10 1 Training error: 0.427966 / Test error: 0.353950 / Layer sizes: 10 1 Training error: 0.427279 / Test error: 0.351089 / Layer sizes: 10 1 Training error: 0.426434 / Test error: 0.345089 / Layer sizes: 10 1 Training error: 0.425579 / Test error: 0.332710 / Layer sizes: 10 1 Training error: 0.423943 / Test error: 0.321928 / Layer sizes: 10 1 Training error: 0.412828 / Test error: 0.317031 / Layer sizes: 10 1 Training error: 0.412224 / Test error: 0.312016 / Layer sizes: 10 1 Training error: 0.410728 / Test error: 0.309601 / Layer sizes: 10 1 Training error: 0.408748 / Test error: 0.299595 / Layer sizes: 10 1 Training error: 0.399753 / Test error: 0.296501 / Layer sizes: 10 1 Training error: 0.399232 / Test error: 0.280667 / Layer sizes: 10 1 Training error: 0.357555 / Test error: 0.272902 / Layer sizes: 10 7 1 Training error: 0.318456 / Test error: 0.265212 / Layer sizes: 10 10 1 Training error: 0.310196 / Test error: 0.264590 / Layer sizes: 10 10 1 Training error: 0.308338 / Test error: 0.253275 / Layer sizes: 10 10 1 Training error: 0.329047 / Test error: 0.251903 / Layer sizes: 10 7 1 Training error: 0.369792 / Test error: 0.248827 / Layer sizes: 10 1 Training error: 0.327162 / Test error: 0.246536 / Layer sizes: 10 7 1 Training error: 0.368795 / Test error: 0.241226 / Layer sizes: 10 1 Training error: 0.328419 / Test error: 0.239226 / Layer sizes: 10 3 1 Training error: 0.273068 / Test error: 0.238008 / Layer sizes: 10 7 1 Training error: 0.272547 / Test error: 0.234312 / Layer sizes: 10 7 1 Training error: 0.312431 / Test error: 0.228111 / Layer sizes: 10 3 1 Training error: 0.309481 / Test error: 0.227266 / Layer sizes: 10 3 1 Training error: 0.306442 / Test error: 0.227017 / Layer sizes: 10 3 1 Training error: 0.212246 / Test error: 0.214864 / Layer sizes: 10 7 1 Training error: 0.210864 / Test error: 0.205752 / Layer sizes: 10 7 1 Training error: 0.167356 / Test error: 0.191019 / Layer sizes: 10 7 1 Training error: 0.130939 / Test error: 0.187019 / Layer sizes: 10 7 1 Training error: 0.128451 / Test error: 0.186106 / Layer sizes: 10 7 1 Training error: 0.108156 / Test error: 0.182510 / Layer sizes: 10 7 1 Training error: 0.106261 / Test error: 0.180405 / Layer sizes: 10 7 1 Training error: 0.102515 / Test error: 0.179717 / Layer sizes: 10 7 1 Training error: 0.095673 / Test error: 0.178471 / Layer sizes: 10 7 1 Training error: 0.094829 / Test error: 0.176985 / Layer sizes: 10 7 1 Training error: 0.091580 / Test error: 0.175209 / Layer sizes: 10 7 1 Training error: 0.091164 / Test error: 0.162821 / Layer sizes: 10 7 1 Training error: 0.090411 / Test error: 0.157329 / Layer sizes: 10 7 1 Training error: 0.089348 / Test error: 0.153222 / Layer sizes: 10 7 1 Training error: 0.079198 / Test error: 0.145069 / Layer sizes: 10 7 1 Training error: 0.043015 / Test error: 0.142511 / Layer sizes: 10 7 1 Training error: 0.032270 / Test error: 0.142426 / Layer sizes: 10 7 1 Training error: 0.032073 / Test error: 0.140169 / Layer sizes: 10 7 1 Training error: 0.026198 / Test error: 0.135667 / Layer sizes: 10 7 1 Training error: 0.025826 / Test error: 0.133329 / Layer sizes: 10 7 1 Training error: 0.025732 / Test error: 0.131104 / Layer sizes: 10 7 1 Training error: 0.023736 / Test error: 0.125436 / Layer sizes: 10 7 1 Training error: 0.023731 / Test error: 0.118052 / Layer sizes: 10 7 1 Training error: 0.023558 / Test error: 0.113630 / Layer sizes: 10 7 1 Training error: 0.023463 / Test error: 0.110524 / Layer sizes: 10 7 1 Training error: 0.023426 / Test error: 0.109481 / Layer sizes: 10 7 1 Training error: 0.022475 / Test error: 0.106193 / Layer sizes: 10 7 1 Training error: 0.022368 / Test error: 0.105284 / Layer sizes: 10 7 1 Training error: 0.020817 / Test error: 0.105027 / Layer sizes: 10 7 1 Training error: 0.020607 / Test error: 0.096190 / Layer sizes: 10 7 1 Training error: 0.018158 / Test error: 0.095487 / Layer sizes: 10 7 1 Training error: 0.018134 / Test error: 0.088887 / Layer sizes: 10 7 1 Training error: 0.012860 / Test error: 0.080124 / Layer sizes: 10 7 1 Training error: 0.012797 / Test error: 0.070119 / Layer sizes: 10 7 1 Training error: 0.012762 / Test error: 0.069808 / Layer sizes: 10 7 1 Training error: 0.012463 / Test error: 0.068231 / Layer sizes: 10 7 1 Training error: 0.012395 / Test error: 0.066869 / Layer sizes: 10 7 1 Training error: 0.012371 / Test error: 0.059866 / Layer sizes: 10 7 1 Training error: 0.012328 / Test error: 0.059714 / Layer sizes: 10 7 1 Training error: 0.012308 / Test error: 0.050532 / Layer sizes: 10 7 1 Training error: 0.011422 / Test error: 0.046604 / Layer sizes: 10 7 1 Training error: 0.009644 / Test error: 0.043180 / Layer sizes: 10 7 1 Training error: 0.009484 / Test error: 0.040217 / Layer sizes: 10 7 1 Training error: 0.009318 / Test error: 0.034999 / Layer sizes: 10 7 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 10 10 1 Training error: 0.000000 / Test error: 0.000000 / 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. 85.42 % correct. 14.58 % wrong. Limit: 17.74 %. 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.91798 + 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.S6pFE6 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.Gjl2Hp 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.nOFugj 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.QsbIOy find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.wrO9fd 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 80.37user 1.12system 1:41.71elapsed 80%CPU (0avgtext+0avgdata 37452maxresident)k 0inputs+0outputs (0major+163698minor)pagefaults 0swaps 88.06user 6.33system 1:55.49elapsed 81%CPU (0avgtext+0avgdata 113432maxresident)k 13528inputs+0outputs (0major+477232minor)pagefaults 0swaps