<86>Dec 12 08:38:35 userdel[54805]: delete user 'rooter' <86>Dec 12 08:38:35 userdel[54805]: removed group 'rooter' owned by 'rooter' <86>Dec 12 08:38:35 userdel[54805]: removed shadow group 'rooter' owned by 'rooter' <86>Dec 12 08:38:35 groupadd[54834]: group added to /etc/group: name=rooter, GID=672 <86>Dec 12 08:38:35 groupadd[54834]: group added to /etc/gshadow: name=rooter <86>Dec 12 08:38:35 groupadd[54834]: new group: name=rooter, GID=672 <86>Dec 12 08:38:35 useradd[54870]: new user: name=rooter, UID=672, GID=672, home=/root, shell=/bin/bash <86>Dec 12 08:38:35 userdel[54937]: delete user 'builder' <86>Dec 12 08:38:35 userdel[54937]: removed group 'builder' owned by 'builder' <86>Dec 12 08:38:35 userdel[54937]: removed shadow group 'builder' owned by 'builder' <86>Dec 12 08:38:35 groupadd[54980]: group added to /etc/group: name=builder, GID=673 <86>Dec 12 08:38:35 groupadd[54980]: group added to /etc/gshadow: name=builder <86>Dec 12 08:38:35 groupadd[54980]: new group: name=builder, GID=673 <86>Dec 12 08:38:35 useradd[55011]: new user: name=builder, UID=673, GID=673, home=/usr/src, shell=/bin/bash <13>Dec 12 08:38:38 rpmi: libyaml2-0.2.1-alt1 sisyphus.214707.100 1539464411 installed <13>Dec 12 08:38:38 rpmi: libverto-0.3.0-alt1_5 1525957714 installed <13>Dec 12 08:38:38 rpmi: libruby-2.5.1-alt4 sisyphus.209945.120 1537061465 installed <13>Dec 12 08:38:38 rpmi: libkeyutils-1.6-alt2 sisyphus.217337.100 1544003161 installed <13>Dec 12 08:38:38 rpmi: libcom_err-1.44.3-alt1 1532134732 installed <13>Dec 12 08:38:38 rpmi: libtasn1-4.13-alt2 1521133850 installed <13>Dec 12 08:38:38 rpmi: libp11-kit-0.23.9-alt5 1525798298 installed <13>Dec 12 08:38:38 rpmi: alternatives-0.4.5-alt1.1 1404382149 installed <13>Dec 12 08:38:38 rpmi: ca-certificates-2018.11.12-alt1 sisyphus.216395.300 1542114035 installed <13>Dec 12 08:38:38 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Dec 12 08:38:38 rpmi: p11-kit-trust-0.23.9-alt5 1525798298 installed <13>Dec 12 08:38:39 rpmi: libcrypto1.1-1.1.0j-alt1 sisyphus.216647.100 1542743878 installed <13>Dec 12 08:38:39 rpmi: libcrypto10-1.0.2p-alt2 1535474186 installed <13>Dec 12 08:38:39 rpmi: libssl1.1-1.1.0j-alt1 sisyphus.216647.100 1542743878 installed <86>Dec 12 08:38:39 groupadd[69101]: group added to /etc/group: name=_keytab, GID=499 <86>Dec 12 08:38:39 groupadd[69101]: group added to /etc/gshadow: name=_keytab <13>Dec 12 08:38:39 rpmi: libkrb5-1.16.2-alt2 sisyphus.216877.200 1543483297 installed <13>Dec 12 08:38:39 rpmi: libssl10-1.0.2p-alt2 1535474186 installed <13>Dec 12 08:38:39 rpmi: ruby-stdlibs-2.5.1-alt4 sisyphus.209945.120 1537061465 installed <13>Dec 12 08:38:39 rpmi: ruby-2.5.1-alt4 sisyphus.209945.120 1537061465 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.5092 + 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.5092 + 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.35592 + 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.30872 + 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: 0.984608 / Test error: 0.982996 / Layer sizes: 10 7 1 Training error: 0.983118 / Test error: 0.980768 / Layer sizes: 10 3 3 1 Training error: 0.975444 / Test error: 0.971631 / Layer sizes: 10 10 10 1 Training error: 0.968326 / Test error: 0.968751 / Layer sizes: 10 10 1 Training error: 0.965582 / Test error: 0.960509 / Layer sizes: 10 3 3 1 Training error: 0.951691 / Test error: 0.943923 / Layer sizes: 10 3 3 1 Training error: 0.943893 / Test error: 0.934724 / Layer sizes: 10 3 3 1 Training error: 0.939730 / Test error: 0.929843 / Layer sizes: 10 3 3 1 Training error: 0.933396 / Test error: 0.921781 / Layer sizes: 10 3 3 1 Training error: 0.932233 / Test error: 0.920193 / Layer sizes: 10 3 3 1 Training error: 0.925306 / Test error: 0.910763 / Layer sizes: 10 3 3 1 Training error: 0.910025 / Test error: 0.907018 / Layer sizes: 10 10 1 Training error: 0.917382 / Test error: 0.900688 / Layer sizes: 10 3 3 1 Training error: 0.916234 / Test error: 0.899267 / Layer sizes: 10 3 3 1 Training error: 0.909360 / Test error: 0.889695 / Layer sizes: 10 3 3 1 Training error: 0.860215 / Test error: 0.872636 / Layer sizes: 10 1 Training error: 0.829328 / Test error: 0.867047 / Layer sizes: 10 1 Training error: 0.857714 / Test error: 0.861215 / Layer sizes: 10 10 1 Training error: 0.765969 / Test error: 0.841628 / Layer sizes: 10 1 Training error: 0.845873 / Test error: 0.836978 / Layer sizes: 10 10 1 Training error: 0.740388 / Test error: 0.808215 / Layer sizes: 10 1 Training error: 0.695992 / Test error: 0.789672 / Layer sizes: 10 1 Training error: 0.688251 / Test error: 0.757327 / Layer sizes: 10 1 Training error: 0.643312 / Test error: 0.747575 / Layer sizes: 10 1 Training error: 0.629575 / Test error: 0.741384 / Layer sizes: 10 1 Training error: 0.627706 / Test error: 0.737261 / Layer sizes: 10 1 Training error: 0.651277 / Test error: 0.722824 / Layer sizes: 10 10 1 Training error: 0.639990 / Test error: 0.721529 / Layer sizes: 10 10 1 Training error: 0.620972 / Test error: 0.708889 / Layer sizes: 10 10 1 Training error: 0.617926 / Test error: 0.707103 / Layer sizes: 10 10 1 Training error: 0.603999 / Test error: 0.703566 / Layer sizes: 10 10 1 Training error: 0.594229 / Test error: 0.697152 / Layer sizes: 10 10 1 Training error: 0.579660 / Test error: 0.694351 / Layer sizes: 10 10 1 Training error: 0.575918 / Test error: 0.689716 / Layer sizes: 10 10 1 Training error: 0.574430 / Test error: 0.683031 / Layer sizes: 10 10 1 Training error: 0.574273 / Test error: 0.682846 / Layer sizes: 10 10 1 Training error: 0.554452 / Test error: 0.679829 / Layer sizes: 10 10 1 Training error: 0.553947 / Test error: 0.676076 / Layer sizes: 10 10 1 Training error: 0.529064 / Test error: 0.653575 / Layer sizes: 10 10 1 Training error: 0.495271 / Test error: 0.638631 / Layer sizes: 10 10 1 Training error: 0.431243 / Test error: 0.623393 / Layer sizes: 10 10 1 Training error: 0.426159 / Test error: 0.620892 / Layer sizes: 10 10 1 Training error: 0.422229 / Test error: 0.611999 / Layer sizes: 10 10 1 Training error: 0.421439 / Test error: 0.575163 / Layer sizes: 10 10 1 Training error: 0.372603 / Test error: 0.542203 / Layer sizes: 10 10 1 Training error: 0.364888 / Test error: 0.537643 / Layer sizes: 10 10 1 Training error: 0.436642 / Test error: 0.536657 / Layer sizes: 10 7 1 Training error: 0.348972 / Test error: 0.531022 / Layer sizes: 10 10 1 Training error: 0.345873 / Test error: 0.521914 / Layer sizes: 10 10 1 Training error: 0.341059 / Test error: 0.493671 / Layer sizes: 10 10 1 Training error: 0.338677 / Test error: 0.493371 / Layer sizes: 10 10 1 Training error: 0.343901 / Test error: 0.492571 / Layer sizes: 10 1 Training error: 0.436093 / Test error: 0.487025 / Layer sizes: 10 3 3 1 Training error: 0.307787 / Test error: 0.477199 / Layer sizes: 10 10 10 1 Training error: 0.413795 / Test error: 0.472157 / Layer sizes: 10 3 3 1 Training error: 0.412157 / Test error: 0.466632 / Layer sizes: 10 3 3 1 Training error: 0.274964 / Test error: 0.449871 / Layer sizes: 10 10 10 1 Training error: 0.403337 / Test error: 0.447736 / Layer sizes: 10 3 3 1 Training error: 0.274276 / Test error: 0.431593 / Layer sizes: 10 10 10 1 Training error: 0.260263 / Test error: 0.416905 / Layer sizes: 10 10 10 1 Training error: 0.227506 / Test error: 0.400028 / Layer sizes: 10 10 10 1 Training error: 0.223833 / Test error: 0.386295 / Layer sizes: 10 10 10 1 Training error: 0.177644 / Test error: 0.382627 / Layer sizes: 10 9 4 1 Training error: 0.175004 / Test error: 0.380192 / Layer sizes: 10 9 4 1 Training error: 0.172729 / Test error: 0.373809 / Layer sizes: 10 9 4 1 Training error: 0.171140 / Test error: 0.364695 / Layer sizes: 10 9 4 1 Training error: 0.170346 / Test error: 0.355492 / Layer sizes: 10 9 4 1 Training error: 0.168977 / Test error: 0.345602 / Layer sizes: 10 9 4 1 Training error: 0.168263 / Test error: 0.327271 / Layer sizes: 10 9 4 1 Training error: 0.154970 / Test error: 0.305815 / Layer sizes: 10 9 4 1 Training error: 0.133360 / Test error: 0.303826 / Layer sizes: 10 9 4 1 Training error: 0.132305 / Test error: 0.289283 / Layer sizes: 10 9 4 1 Training error: 0.131012 / Test error: 0.277382 / Layer sizes: 10 9 4 1 Training error: 0.129472 / Test error: 0.254327 / Layer sizes: 10 9 4 1 Training error: 0.125720 / Test error: 0.249346 / Layer sizes: 10 9 4 1 Training error: 0.119036 / Test error: 0.245534 / Layer sizes: 10 9 4 1 Training error: 0.118943 / Test error: 0.243123 / Layer sizes: 10 9 4 1 Training error: 0.114458 / Test error: 0.238249 / Layer sizes: 10 9 4 1 Training error: 0.057398 / Test error: 0.231397 / Layer sizes: 10 10 1 Training error: 0.055546 / Test error: 0.230647 / Layer sizes: 10 10 1 Training error: 0.053766 / Test error: 0.229131 / Layer sizes: 10 10 1 Training error: 0.047300 / Test error: 0.226626 / Layer sizes: 10 10 1 Training error: 0.045179 / Test error: 0.225656 / Layer sizes: 10 10 1 Training error: 0.042467 / Test error: 0.223462 / Layer sizes: 10 10 1 Training error: 0.041925 / Test error: 0.216244 / Layer sizes: 10 10 1 Training error: 0.041433 / Test error: 0.210095 / Layer sizes: 10 10 1 Training error: 0.033644 / Test error: 0.200024 / Layer sizes: 10 10 1 Training error: 0.028244 / Test error: 0.196697 / Layer sizes: 10 10 1 Training error: 0.027361 / Test error: 0.188829 / Layer sizes: 10 10 1 Training error: 0.025726 / Test error: 0.178920 / Layer sizes: 10 10 1 Training error: 0.024032 / Test error: 0.178891 / Layer sizes: 10 10 1 Training error: 0.016489 / Test error: 0.176631 / Layer sizes: 10 10 1 Training error: 0.015584 / Test error: 0.175290 / Layer sizes: 10 10 1 Training error: 0.015451 / Test error: 0.172209 / Layer sizes: 10 10 1 Training error: 0.015113 / Test error: 0.169041 / Layer sizes: 10 10 1 Training error: 0.015044 / Test error: 0.162837 / Layer sizes: 10 10 1 Training error: 0.015011 / Test error: 0.161183 / Layer sizes: 10 10 1 Training error: 0.014975 / Test error: 0.160573 / Layer sizes: 10 10 1 Training error: 0.000752 / Test error: 0.156678 / Layer sizes: 10 10 1 Training error: 0.000606 / Test error: 0.142093 / Layer sizes: 10 10 1 Training error: 0.000606 / Test error: 0.139832 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.125000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.125000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.125000 / Layer sizes: 10 10 1 Training error: 0.000000 / Test error: 0.125000 / Layer sizes: 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. 85.30 % correct. 14.70 % wrong. Limit: 17.60 %. 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.52782 + 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.2CL5Lw 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.h8iqxk 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.qXIIgr 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.w39wu4 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.tdiwzb 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 66.88user 0.42system 1:40.14elapsed 67%CPU (0avgtext+0avgdata 36820maxresident)k 0inputs+0outputs (0major+148507minor)pagefaults 0swaps 76.71user 3.17system 1:57.39elapsed 68%CPU (0avgtext+0avgdata 122508maxresident)k 0inputs+0outputs (0major+567320minor)pagefaults 0swaps