<86>Feb 10 08:01:29 userdel[362]: delete user 'rooter' <86>Feb 10 08:01:29 userdel[362]: removed shadow group 'rooter' owned by 'rooter' <86>Feb 10 08:01:29 groupadd[382]: group added to /etc/group: name=rooter, GID=585 <86>Feb 10 08:01:29 groupadd[382]: group added to /etc/gshadow: name=rooter <86>Feb 10 08:01:29 groupadd[382]: new group: name=rooter, GID=585 <86>Feb 10 08:01:29 useradd[394]: new user: name=rooter, UID=585, GID=585, home=/root, shell=/bin/bash <86>Feb 10 08:01:29 userdel[413]: delete user 'builder' <86>Feb 10 08:01:29 userdel[413]: removed group 'builder' owned by 'builder' <86>Feb 10 08:01:29 userdel[413]: removed shadow group 'builder' owned by 'builder' <86>Feb 10 08:01:29 groupadd[426]: group added to /etc/group: name=builder, GID=586 <86>Feb 10 08:01:29 groupadd[426]: group added to /etc/gshadow: name=builder <86>Feb 10 08:01:29 groupadd[426]: new group: name=builder, GID=586 <86>Feb 10 08:01:29 useradd[438]: new user: name=builder, UID=586, GID=586, home=/usr/src, shell=/bin/bash <13>Feb 10 08:01:36 rpmi: libruby-2.5.1-alt0.M80P.1 1525659728 installed <13>Feb 10 08:01:36 rpmi: libyaml2-0.1.6-alt1 1397147705 installed <13>Feb 10 08:01:36 rpmi: libverto-0.2.6-alt1_6 1455633232 installed <13>Feb 10 08:01:36 rpmi: libkeyutils-1.5.10-alt0.M80P.2 p8+216694.100.6.1 1547827915 installed <13>Feb 10 08:01:36 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Feb 10 08:01:36 rpmi: libcom_err-1.42.13-alt2 1449075923 installed <13>Feb 10 08:01:36 rpmi: ca-certificates-2016.02.25-alt1 1462368370 installed <13>Feb 10 08:01:36 rpmi: libcrypto10-1.0.2n-alt0.M80P.1 1512766170 installed <13>Feb 10 08:01:36 rpmi: ruby-2.5.1-alt0.M80P.1 1525659728 installed <13>Feb 10 08:01:36 rpmi: libssl10-1.0.2n-alt0.M80P.1 1512766170 installed <86>Feb 10 08:01:36 groupadd[6304]: group added to /etc/group: name=_keytab, GID=499 <86>Feb 10 08:01:36 groupadd[6304]: group added to /etc/gshadow: name=_keytab <86>Feb 10 08:01:36 groupadd[6304]: new group: name=_keytab, GID=499 <13>Feb 10 08:01:36 rpmi: libkrb5-1.14.6-alt1.M80P.1 1525355764 installed <13>Feb 10 08:01:37 rpmi: ruby-stdlibs-2.5.1-alt0.M80P.1 1525659728 installed 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.81714 + 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.81714 + umask 022 + /bin/mkdir -p /usr/src/RPM/BUILD + cd /usr/src/RPM/BUILD + cd auto-nng.v1.7 + make 'CFLAGS=-pipe -Wall -g -O2 -march=i586 -mtune=generic' make: Entering directory `/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -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:910:140: 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.74448 + 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) 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.74448 + 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: 0.951749 / Test error: 0.951644 / Layer sizes: 10 1 Training error: 0.964710 / Test error: 0.935796 / Layer sizes: 10 10 1 Training error: 0.961559 / Test error: 0.924796 / Layer sizes: 10 10 1 Training error: 0.961135 / Test error: 0.917683 / Layer sizes: 10 10 1 Training error: 0.958403 / Test error: 0.915547 / Layer sizes: 10 10 1 Training error: 0.955250 / Test error: 0.911188 / Layer sizes: 10 10 1 Training error: 0.952178 / Test error: 0.909764 / Layer sizes: 10 10 1 Training error: 0.946271 / Test error: 0.908354 / Layer sizes: 10 3 1 Training error: 0.949181 / Test error: 0.904619 / Layer sizes: 10 10 1 Training error: 0.948908 / Test error: 0.900638 / Layer sizes: 10 10 1 Training error: 0.945580 / Test error: 0.892254 / Layer sizes: 10 10 1 Training error: 0.937277 / Test error: 0.880562 / Layer sizes: 10 10 1 Training error: 0.868890 / Test error: 0.875925 / Layer sizes: 10 1 Training error: 0.935892 / Test error: 0.874407 / Layer sizes: 10 7 1 Training error: 0.927914 / Test error: 0.873486 / Layer sizes: 10 3 1 Training error: 0.922565 / Test error: 0.863123 / Layer sizes: 10 3 1 Training error: 0.829459 / Test error: 0.850325 / Layer sizes: 10 1 Training error: 0.795337 / Test error: 0.812203 / Layer sizes: 10 1 Training error: 0.779594 / Test error: 0.800974 / Layer sizes: 10 1 Training error: 0.775186 / Test error: 0.796632 / Layer sizes: 10 1 Training error: 0.771449 / Test error: 0.782834 / Layer sizes: 10 1 Training error: 0.758744 / Test error: 0.777201 / Layer sizes: 10 1 Training error: 0.754414 / Test error: 0.771112 / Layer sizes: 10 1 Training error: 0.744580 / Test error: 0.767097 / Layer sizes: 10 1 Training error: 0.726921 / Test error: 0.734437 / Layer sizes: 10 1 Training error: 0.711349 / Test error: 0.704982 / Layer sizes: 10 1 Training error: 0.705101 / Test error: 0.693943 / Layer sizes: 10 1 Training error: 0.695721 / Test error: 0.692782 / Layer sizes: 10 1 Training error: 0.666287 / Test error: 0.668245 / Layer sizes: 10 1 Training error: 0.645124 / Test error: 0.646100 / Layer sizes: 10 1 Training error: 0.637904 / Test error: 0.632106 / Layer sizes: 10 1 Training error: 0.628636 / Test error: 0.606485 / Layer sizes: 10 1 Training error: 0.614888 / Test error: 0.593586 / Layer sizes: 10 1 Training error: 0.609316 / Test error: 0.586214 / Layer sizes: 10 1 Training error: 0.596090 / Test error: 0.573539 / Layer sizes: 10 1 Training error: 0.582596 / Test error: 0.571933 / Layer sizes: 10 1 Training error: 0.576532 / Test error: 0.567704 / Layer sizes: 10 1 Training error: 0.553924 / Test error: 0.552198 / Layer sizes: 10 1 Training error: 0.546849 / Test error: 0.549361 / Layer sizes: 10 1 Training error: 0.546323 / Test error: 0.546536 / Layer sizes: 10 1 Training error: 0.535416 / Test error: 0.525602 / Layer sizes: 10 1 Training error: 0.529073 / Test error: 0.510097 / Layer sizes: 10 1 Training error: 0.520047 / Test error: 0.503940 / Layer sizes: 10 1 Training error: 0.515420 / Test error: 0.492148 / Layer sizes: 10 1 Training error: 0.514049 / Test error: 0.483702 / Layer sizes: 10 1 Training error: 0.503501 / Test error: 0.477099 / Layer sizes: 10 1 Training error: 0.503153 / Test error: 0.472792 / Layer sizes: 10 1 Training error: 0.501546 / Test error: 0.466558 / Layer sizes: 10 1 Training error: 0.498963 / Test error: 0.460842 / Layer sizes: 10 1 Training error: 0.493648 / Test error: 0.451647 / Layer sizes: 10 1 Training error: 0.491790 / Test error: 0.451599 / Layer sizes: 10 1 Training error: 0.475661 / Test error: 0.438909 / Layer sizes: 10 1 Training error: 0.475048 / Test error: 0.434527 / Layer sizes: 10 1 Training error: 0.464566 / Test error: 0.427469 / Layer sizes: 10 1 Training error: 0.459866 / Test error: 0.417128 / Layer sizes: 10 1 Training error: 0.458005 / Test error: 0.408402 / Layer sizes: 10 1 Training error: 0.451490 / Test error: 0.399630 / Layer sizes: 10 1 Training error: 0.445537 / Test error: 0.399143 / Layer sizes: 10 1 Training error: 0.435846 / Test error: 0.396220 / Layer sizes: 10 1 Training error: 0.431964 / Test error: 0.390526 / Layer sizes: 10 1 Training error: 0.429234 / Test error: 0.381512 / Layer sizes: 10 1 Training error: 0.423752 / Test error: 0.375692 / Layer sizes: 10 1 Training error: 0.421268 / Test error: 0.371069 / Layer sizes: 10 1 Training error: 0.420390 / Test error: 0.370854 / Layer sizes: 10 1 Training error: 0.416777 / Test error: 0.363775 / Layer sizes: 10 7 1 Training error: 0.415894 / Test error: 0.360199 / Layer sizes: 10 7 1 Training error: 0.397586 / Test error: 0.357109 / Layer sizes: 10 7 1 Training error: 0.389228 / Test error: 0.351500 / Layer sizes: 10 7 1 Training error: 0.318502 / Test error: 0.344753 / Layer sizes: 10 10 10 1 Training error: 0.317739 / Test error: 0.340888 / Layer sizes: 10 10 10 1 Training error: 0.314655 / Test error: 0.330504 / Layer sizes: 10 10 10 1 Training error: 0.308218 / Test error: 0.325518 / Layer sizes: 10 10 10 1 Training error: 0.297788 / Test error: 0.320069 / Layer sizes: 10 10 10 1 Training error: 0.222251 / Test error: 0.311263 / Layer sizes: 10 9 4 1 Training error: 0.272741 / Test error: 0.299922 / Layer sizes: 10 10 10 1 Training error: 0.270607 / Test error: 0.283102 / Layer sizes: 10 10 10 1 Training error: 0.265575 / Test error: 0.278015 / Layer sizes: 10 10 10 1 Training error: 0.244385 / Test error: 0.273080 / Layer sizes: 10 10 10 1 Training error: 0.243538 / Test error: 0.267946 / Layer sizes: 10 10 10 1 Training error: 0.237215 / Test error: 0.267055 / Layer sizes: 10 10 10 1 Training error: 0.200588 / Test error: 0.266899 / Layer sizes: 10 10 10 1 Training error: 0.198625 / Test error: 0.263161 / Layer sizes: 10 10 10 1 Training error: 0.187152 / Test error: 0.254243 / Layer sizes: 10 10 10 1 Training error: 0.186035 / Test error: 0.251912 / Layer sizes: 10 10 10 1 Training error: 0.185372 / Test error: 0.245349 / Layer sizes: 10 10 10 1 Training error: 0.182469 / Test error: 0.230946 / Layer sizes: 10 10 10 1 Training error: 0.180131 / Test error: 0.223694 / Layer sizes: 10 10 10 1 Training error: 0.183453 / Test error: 0.222184 / Layer sizes: 10 3 3 1 Training error: 0.179654 / Test error: 0.219768 / Layer sizes: 10 3 3 1 Training error: 0.158071 / Test error: 0.218702 / Layer sizes: 10 3 3 1 Training error: 0.158025 / Test error: 0.217176 / Layer sizes: 10 3 3 1 Training error: 0.157087 / Test error: 0.216104 / Layer sizes: 10 3 3 1 Training error: 0.143663 / Test error: 0.211754 / Layer sizes: 10 3 3 1 Training error: 0.143598 / Test error: 0.210743 / Layer sizes: 10 3 3 1 Training error: 0.141641 / Test error: 0.210713 / Layer sizes: 10 3 3 1 Training error: 0.140722 / Test error: 0.210413 / Layer sizes: 10 3 3 1 Training error: 0.103338 / Test error: 0.207832 / Layer sizes: 10 3 3 1 Training error: 0.103131 / Test error: 0.206785 / Layer sizes: 10 3 3 1 Training error: 0.102762 / Test error: 0.206053 / Layer sizes: 10 3 3 1 Training error: 0.102426 / Test error: 0.193258 / Layer sizes: 10 3 3 1 Training error: 0.101758 / Test error: 0.186508 / Layer sizes: 10 3 3 1 Training error: 0.100163 / Test error: 0.184233 / Layer sizes: 10 3 3 1 Training error: 0.100157 / Test error: 0.182096 / Layer sizes: 10 3 3 1 Training error: 0.096197 / Test error: 0.179253 / Layer sizes: 10 3 3 1 Training error: 0.095631 / Test error: 0.174358 / Layer sizes: 10 3 3 1 Training error: 0.095600 / Test error: 0.172228 / Layer sizes: 10 3 3 1 Training error: 0.095356 / Test error: 0.171900 / Layer sizes: 10 3 3 1 Training error: 0.093196 / Test error: 0.168618 / Layer sizes: 10 3 3 1 Training error: 0.092965 / Test error: 0.168154 / Layer sizes: 10 3 3 1 Training error: 0.092846 / Test error: 0.158029 / Layer sizes: 10 3 3 1 Training error: 0.092608 / Test error: 0.151217 / Layer sizes: 10 3 3 1 Training error: 0.092295 / Test error: 0.145553 / Layer sizes: 10 3 3 1 Training error: 0.092152 / Test error: 0.140839 / Layer sizes: 10 3 3 1 Training error: 0.091372 / Test error: 0.139369 / Layer sizes: 10 3 3 1 Training error: 0.091277 / Test error: 0.135453 / Layer sizes: 10 3 3 1 Training error: 0.091091 / Test error: 0.134113 / Layer sizes: 10 3 3 1 Training error: 0.091040 / Test error: 0.132474 / Layer sizes: 10 3 3 1 Training error: 0.090831 / Test error: 0.130365 / Layer sizes: 10 3 3 1 Training error: 0.090581 / Test error: 0.130320 / Layer sizes: 10 3 3 1 Training error: 0.090456 / Test error: 0.129655 / Layer sizes: 10 3 3 1 Training error: 0.090255 / Test error: 0.129490 / Layer sizes: 10 3 3 1 Training error: 0.089086 / Test error: 0.129392 / Layer sizes: 10 3 3 1 Training error: 0.088847 / Test error: 0.129369 / Layer sizes: 10 3 3 1 Training error: 0.088569 / Test error: 0.129292 / Layer sizes: 10 3 3 1 Training error: 0.088247 / Test error: 0.128587 / Layer sizes: 10 3 3 1 Training error: 0.058652 / Test error: 0.127918 / Layer sizes: 10 3 3 1 Training error: 0.055011 / Test error: 0.127114 / Layer sizes: 10 3 3 1 Training error: 0.051218 / Test error: 0.125995 / Layer sizes: 10 3 3 1 Training error: 0.051145 / Test error: 0.125279 / Layer sizes: 10 3 3 1 Training error: 0.050862 / Test error: 0.125055 / Layer sizes: 10 3 3 1 Training error: 0.048182 / Test error: 0.124977 / Layer sizes: 10 3 3 1 Training error: 0.000991 / Test error: 0.122060 / Layer sizes: 10 9 4 1 Training error: 0.000977 / Test error: 0.121893 / Layer sizes: 10 9 4 1 Training error: 0.000745 / Test error: 0.120899 / Layer sizes: 10 9 4 1 Training error: 0.000625 / Test error: 0.082876 / Layer sizes: 10 9 4 1 Training error: 0.000025 / Test error: 0.082829 / Layer sizes: 10 3 1 Training error: 0.000000 / Test error: 0.041667 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 9 4 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. 87.70 % correct. 12.30 % wrong. Limit: 17.38 %. 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.43574 + 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.jyGI7u 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.dDeDwT 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.Ka2sQp 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.s47PY2 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.lyi7sJ 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 83.04user 0.81system 1:38.01elapsed 85%CPU (0avgtext+0avgdata 34528maxresident)k 0inputs+0outputs (0major+125431minor)pagefaults 0swaps 95.82user 6.14system 2:01.54elapsed 83%CPU (0avgtext+0avgdata 125124maxresident)k 0inputs+0outputs (0major+465789minor)pagefaults 0swaps