<86>Jan 1 02:44:11 userdel[58438]: delete user 'rooter' <86>Jan 1 02:44:11 groupadd[58506]: group added to /etc/group: name=rooter, GID=561 <86>Jan 1 02:44:11 groupadd[58506]: group added to /etc/gshadow: name=rooter <86>Jan 1 02:44:11 groupadd[58506]: new group: name=rooter, GID=561 <86>Jan 1 02:44:11 useradd[58525]: new user: name=rooter, UID=561, GID=561, home=/root, shell=/bin/bash <86>Jan 1 02:44:11 userdel[58557]: delete user 'builder' <86>Jan 1 02:44:11 userdel[58557]: removed group 'builder' owned by 'builder' <86>Jan 1 02:44:11 userdel[58557]: removed shadow group 'builder' owned by 'builder' <86>Jan 1 02:44:11 groupadd[58593]: group added to /etc/group: name=builder, GID=562 <86>Jan 1 02:44:11 groupadd[58593]: group added to /etc/gshadow: name=builder <86>Jan 1 02:44:11 groupadd[58593]: new group: name=builder, GID=562 <86>Jan 1 02:44:11 useradd[58609]: new user: name=builder, UID=562, GID=562, home=/usr/src, shell=/bin/bash <13>Jan 1 02:44:14 rpmi: libyaml2-0.2.1-alt1 sisyphus.214707.100 1539464409 installed <13>Jan 1 02:44:14 rpmi: libruby-2.5.1-alt4 sisyphus.209945.120 1537061429 installed <13>Jan 1 02:44:14 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Jan 1 02:44:14 rpmi: libtasn1-4.13-alt2 1521133848 installed <13>Jan 1 02:44:14 rpmi: libp11-kit-0.23.9-alt5 1525798241 installed <13>Jan 1 02:44:14 rpmi: ed-1:0.2-alt10 1449768441 installed <13>Jan 1 02:44:14 rpmi: rpm-macros-alternatives-0.4.5-alt1.1 1404382149 installed <13>Jan 1 02:44:14 rpmi: alternatives-0.4.5-alt1.1 1404382149 installed <13>Jan 1 02:44:14 rpmi: ca-certificates-2018.11.12-alt1 sisyphus.216395.300 1542114035 installed <13>Jan 1 02:44:14 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Jan 1 02:44:14 rpmi: p11-kit-trust-0.23.9-alt5 1525798241 installed <13>Jan 1 02:44:14 rpmi: libcrypto10-1.0.2q-alt1 sisyphus.218116.300 1545346590 installed <13>Jan 1 02:44:14 rpmi: libssl10-1.0.2q-alt1 sisyphus.218116.300 1545346590 installed <13>Jan 1 02:44:14 rpmi: ruby-stdlibs-2.5.1-alt4 sisyphus.209945.120 1537061429 installed <13>Jan 1 02:44:14 rpmi: ruby-2.5.1-alt4 sisyphus.209945.120 1537061429 installed Building target platforms: x86_64 Building for target x86_64 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: x86_64 Building for target x86_64 Executing(%prep): /bin/sh -e /usr/src/tmp/rpm-tmp.31253 + 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.31253 + 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' make: Entering directory '/usr/src/RPM/BUILD/auto-nng.v1.7' cc -pipe -frecord-gcc-switches -Wall -g -O2 -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:770:8: warning: 'continuous_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] int *continuous_input_cols; ^~~~~~~~~~~~~~~~~~~~~ auto-nng.c:872:91: warning: 'binary_input_cols' may be used uninitialized in this function [-Wmaybe-uninitialized] for (i = 0; i < binary_input_count; i++) input_values[i] = values[binary_input_cols[i]]; ~~~~~~~~~~~~~~~~~^~~ make: Leaving directory '/usr/src/RPM/BUILD/auto-nng.v1.7' + exit 0 Executing(%install): /bin/sh -e /usr/src/tmp/rpm-tmp.99198 + 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) Hardlinking identical .pyc and .pyo files Executing(%check): /bin/sh -e /usr/src/tmp/rpm-tmp.99198 + 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: 0.989823 / Test error: 0.981934 / Layer sizes: 10 1 Training error: 0.972261 / Test error: 0.979151 / Layer sizes: 10 1 Training error: 0.991216 / Test error: 0.972200 / Layer sizes: 10 3 3 1 Training error: 0.967960 / Test error: 0.960707 / Layer sizes: 10 1 Training error: 0.988065 / Test error: 0.960412 / Layer sizes: 10 3 3 1 Training error: 0.986289 / Test error: 0.949444 / Layer sizes: 10 10 1 Training error: 0.984112 / Test error: 0.944674 / Layer sizes: 10 9 4 1 Training error: 0.935354 / Test error: 0.930540 / Layer sizes: 10 1 Training error: 0.979022 / Test error: 0.928951 / Layer sizes: 10 10 1 Training error: 0.935259 / Test error: 0.918221 / Layer sizes: 10 1 Training error: 0.974891 / Test error: 0.914848 / Layer sizes: 10 10 1 Training error: 0.921856 / Test error: 0.874539 / Layer sizes: 10 1 Training error: 0.888871 / Test error: 0.821374 / Layer sizes: 10 1 Training error: 0.866169 / Test error: 0.790776 / Layer sizes: 10 1 Training error: 0.805817 / Test error: 0.790303 / Layer sizes: 10 1 Training error: 0.797532 / Test error: 0.773440 / Layer sizes: 10 1 Training error: 0.788068 / Test error: 0.732361 / Layer sizes: 10 1 Training error: 0.745992 / Test error: 0.681770 / Layer sizes: 10 1 Training error: 0.708715 / Test error: 0.648465 / Layer sizes: 10 1 Training error: 0.680596 / Test error: 0.643427 / Layer sizes: 10 1 Training error: 0.670323 / Test error: 0.625647 / Layer sizes: 10 1 Training error: 0.649836 / Test error: 0.616014 / Layer sizes: 10 1 Training error: 0.634154 / Test error: 0.595199 / Layer sizes: 10 1 Training error: 0.625295 / Test error: 0.591603 / Layer sizes: 10 1 Training error: 0.618934 / Test error: 0.574189 / Layer sizes: 10 1 Training error: 0.611577 / Test error: 0.573514 / Layer sizes: 10 1 Training error: 0.603429 / Test error: 0.566926 / Layer sizes: 10 1 Training error: 0.556388 / Test error: 0.542162 / Layer sizes: 10 1 Training error: 0.548977 / Test error: 0.533674 / Layer sizes: 10 1 Training error: 0.542835 / Test error: 0.512490 / Layer sizes: 10 1 Training error: 0.529093 / Test error: 0.500673 / Layer sizes: 10 1 Training error: 0.525314 / Test error: 0.499344 / Layer sizes: 10 1 Training error: 0.511984 / Test error: 0.478482 / Layer sizes: 10 1 Training error: 0.509709 / Test error: 0.471285 / Layer sizes: 10 1 Training error: 0.498727 / Test error: 0.468435 / Layer sizes: 10 1 Training error: 0.493406 / Test error: 0.461321 / Layer sizes: 10 1 Training error: 0.479847 / Test error: 0.455555 / Layer sizes: 10 1 Training error: 0.475774 / Test error: 0.441543 / Layer sizes: 10 3 1 Training error: 0.469247 / Test error: 0.430158 / Layer sizes: 10 3 1 Training error: 0.441898 / Test error: 0.429436 / Layer sizes: 10 3 1 Training error: 0.441891 / Test error: 0.424343 / Layer sizes: 10 3 1 Training error: 0.435889 / Test error: 0.418943 / Layer sizes: 10 3 1 Training error: 0.442425 / Test error: 0.414966 / Layer sizes: 10 1 Training error: 0.440774 / Test error: 0.412111 / Layer sizes: 10 1 Training error: 0.434950 / Test error: 0.406704 / Layer sizes: 10 1 Training error: 0.430133 / Test error: 0.402039 / Layer sizes: 10 1 Training error: 0.422493 / Test error: 0.394664 / Layer sizes: 10 1 Training error: 0.421929 / Test error: 0.391075 / Layer sizes: 10 1 Training error: 0.418737 / Test error: 0.384220 / Layer sizes: 10 1 Training error: 0.415377 / Test error: 0.381617 / Layer sizes: 10 1 Training error: 0.274395 / Test error: 0.370361 / Layer sizes: 10 3 1 Training error: 0.270434 / Test error: 0.364458 / Layer sizes: 10 3 1 Training error: 0.269186 / Test error: 0.361991 / Layer sizes: 10 3 1 Training error: 0.267515 / Test error: 0.355704 / Layer sizes: 10 3 1 Training error: 0.267219 / Test error: 0.353856 / Layer sizes: 10 3 1 Training error: 0.264782 / Test error: 0.352311 / Layer sizes: 10 3 1 Training error: 0.262865 / Test error: 0.347776 / Layer sizes: 10 3 1 Training error: 0.262243 / Test error: 0.340606 / Layer sizes: 10 3 1 Training error: 0.261683 / Test error: 0.326423 / Layer sizes: 10 3 1 Training error: 0.259333 / Test error: 0.323699 / Layer sizes: 10 3 1 Training error: 0.257627 / Test error: 0.314408 / Layer sizes: 10 3 1 Training error: 0.257301 / Test error: 0.310369 / Layer sizes: 10 3 1 Training error: 0.115801 / Test error: 0.280350 / Layer sizes: 10 10 1 Training error: 0.111957 / Test error: 0.254901 / Layer sizes: 10 10 1 Training error: 0.109722 / Test error: 0.241461 / Layer sizes: 10 10 1 Training error: 0.104442 / Test error: 0.240155 / Layer sizes: 10 10 1 Training error: 0.100918 / Test error: 0.229204 / Layer sizes: 10 10 1 Training error: 0.080191 / Test error: 0.226721 / Layer sizes: 10 10 1 Training error: 0.079638 / Test error: 0.225379 / Layer sizes: 10 10 1 Training error: 0.033915 / Test error: 0.222419 / Layer sizes: 10 10 1 Training error: 0.033616 / Test error: 0.211321 / Layer sizes: 10 10 1 Training error: 0.028601 / Test error: 0.210575 / Layer sizes: 10 10 1 Training error: 0.028554 / Test error: 0.183851 / Layer sizes: 10 10 1 Training error: 0.028330 / Test error: 0.174533 / Layer sizes: 10 10 1 Training error: 0.028184 / Test error: 0.170695 / Layer sizes: 10 10 1 Training error: 0.028026 / Test error: 0.167702 / Layer sizes: 10 10 1 Training error: 0.027712 / Test error: 0.166723 / Layer sizes: 10 10 1 Training error: 0.021269 / Test error: 0.166412 / Layer sizes: 10 10 1 Training error: 0.021033 / Test error: 0.165119 / Layer sizes: 10 10 1 Training error: 0.020389 / Test error: 0.163544 / Layer sizes: 10 10 1 Training error: 0.006395 / Test error: 0.152425 / Layer sizes: 10 10 1 Training error: 0.000589 / Test error: 0.149002 / Layer sizes: 10 3 1 Training error: 0.000071 / Test error: 0.125115 / Layer sizes: 10 3 1 Training error: 0.000065 / Test error: 0.121272 / Layer sizes: 10 3 1 Training error: 0.000059 / Test error: 0.082544 / Layer sizes: 10 3 1 Training error: 0.000035 / Test error: 0.081279 / Layer sizes: 10 3 1 Training error: 0.000035 / Test error: 0.078462 / Layer sizes: 10 3 1 Training error: 0.000035 / Test error: 0.065761 / Layer sizes: 10 3 1 Training error: 0.000032 / Test error: 0.041417 / Layer sizes: 10 3 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 3 3 1 Training error: 0.000000 / Test error: 0.000000 / Layer sizes: 10 3 3 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. 91.63 % correct. 8.37 % wrong. Limit: 17.13 %. 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.63787 + 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.JJuuey 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.U3tZnQ find-requires: running scripts (cpp,debuginfo,files,lib,pam,perl,pkgconfig,pkgconfiglib,python,rpmlib,shebang,shell,static,symlinks) Requires: /lib64/ld-linux-x86-64.so.2, libc.so.6(GLIBC_2.14)(64bit), libc.so.6(GLIBC_2.2.5)(64bit), libc.so.6(GLIBC_2.3.4)(64bit), libc.so.6(GLIBC_2.4)(64bit), libm.so.6(GLIBC_2.2.5)(64bit), rtld(GNU_HASH) Finding debuginfo files (using /usr/lib/rpm/find-debuginfo-files) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.RcHGMc 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.aznb4D find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.Dy9Ucb find-requires: running scripts (debuginfo) Requires: auto-nng = 1.7-alt2_3.1, /usr/lib/debug/lib64/ld-linux-x86-64.so.2.debug, debug64(libc.so.6), debug64(libm.so.6) Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-1.7-alt2_3.1.x86_64.rpm Wrote: /usr/src/RPM/RPMS/x86_64/auto-nng-debuginfo-1.7-alt2_3.1.x86_64.rpm 53.61user 1.31system 1:42.72elapsed 53%CPU (0avgtext+0avgdata 45784maxresident)k 0inputs+0outputs (0major+194422minor)pagefaults 0swaps 64.27user 5.28system 2:00.09elapsed 57%CPU (0avgtext+0avgdata 122332maxresident)k 0inputs+0outputs (0major+673273minor)pagefaults 0swaps --- auto-nng-1.7-alt2_3.1.x86_64.rpm.repo 2013-04-03 05:20:55.000000000 +0000 +++ auto-nng-1.7-alt2_3.1.x86_64.rpm.hasher 2019-01-01 02:46:02.745629183 +0000 @@ -5,2 +5,3 @@ Requires: /lib64/ld-linux-x86-64.so.2 +Requires: libc.so.6(GLIBC_2.14)(64bit) Requires: libc.so.6(GLIBC_2.2.5)(64bit)