<86>Dec 22 02:58:20 userdel[67666]: delete user 'rooter' <86>Dec 22 02:58:20 userdel[67666]: removed group 'rooter' owned by 'rooter' <86>Dec 22 02:58:20 userdel[67666]: removed shadow group 'rooter' owned by 'rooter' <86>Dec 22 02:58:20 groupadd[67680]: group added to /etc/group: name=rooter, GID=573 <86>Dec 22 02:58:20 groupadd[67680]: group added to /etc/gshadow: name=rooter <86>Dec 22 02:58:20 groupadd[67680]: new group: name=rooter, GID=573 <86>Dec 22 02:58:20 useradd[67689]: new user: name=rooter, UID=573, GID=573, home=/root, shell=/bin/bash <86>Dec 22 02:58:20 userdel[67707]: delete user 'builder' <86>Dec 22 02:58:20 userdel[67707]: removed group 'builder' owned by 'builder' <86>Dec 22 02:58:20 userdel[67707]: removed shadow group 'builder' owned by 'builder' <86>Dec 22 02:58:20 groupadd[67715]: group added to /etc/group: name=builder, GID=574 <86>Dec 22 02:58:20 groupadd[67715]: group added to /etc/gshadow: name=builder <86>Dec 22 02:58:20 groupadd[67715]: new group: name=builder, GID=574 <86>Dec 22 02:58:20 useradd[67726]: new user: name=builder, UID=574, GID=574, home=/usr/src, shell=/bin/bash <13>Dec 22 02:58:22 rpmi: libyaml2-0.2.1-alt1 sisyphus.214707.100 1539464409 installed <13>Dec 22 02:58:23 rpmi: libruby-2.5.1-alt4 sisyphus.209945.120 1537061429 installed <13>Dec 22 02:58:23 rpmi: libgdbm-1.8.3-alt10 1454943313 installed <13>Dec 22 02:58:23 rpmi: libtasn1-4.13-alt2 1521133848 installed <13>Dec 22 02:58:23 rpmi: libp11-kit-0.23.9-alt5 1525798241 installed <13>Dec 22 02:58:23 rpmi: ed-1:0.2-alt10 1449768441 installed <13>Dec 22 02:58:23 rpmi: rpm-macros-alternatives-0.4.5-alt1.1 1404382149 installed <13>Dec 22 02:58:23 rpmi: alternatives-0.4.5-alt1.1 1404382149 installed <13>Dec 22 02:58:23 rpmi: ca-certificates-2018.11.12-alt1 sisyphus.216395.300 1542114035 installed <13>Dec 22 02:58:23 rpmi: ca-trust-0.1.1-alt2 1515595785 installed <13>Dec 22 02:58:23 rpmi: p11-kit-trust-0.23.9-alt5 1525798241 installed <13>Dec 22 02:58:23 rpmi: libcrypto10-1.0.2q-alt1 sisyphus.218116.300 1545346590 installed <13>Dec 22 02:58:23 rpmi: libssl10-1.0.2q-alt1 sisyphus.218116.300 1545346590 installed <13>Dec 22 02:58:23 rpmi: ruby-stdlibs-2.5.1-alt4 sisyphus.209945.120 1537061429 installed <13>Dec 22 02:58:23 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.42230 + 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.42230 + 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.93283 + 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.47356 + 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: 0.998150 / Test error: 0.997680 / Layer sizes: 10 9 4 1 Training error: 0.947747 / Test error: 0.964362 / Layer sizes: 10 1 Training error: 0.938418 / Test error: 0.947642 / Layer sizes: 10 1 Training error: 0.960023 / Test error: 0.947385 / Layer sizes: 10 7 1 Training error: 0.923594 / Test error: 0.939612 / Layer sizes: 10 1 Training error: 0.953270 / Test error: 0.934811 / Layer sizes: 10 7 1 Training error: 0.948738 / Test error: 0.932964 / Layer sizes: 10 3 1 Training error: 0.950146 / Test error: 0.928345 / Layer sizes: 10 7 1 Training error: 0.941363 / Test error: 0.923920 / Layer sizes: 10 3 3 1 Training error: 0.942149 / Test error: 0.922132 / Layer sizes: 10 3 1 Training error: 0.941603 / Test error: 0.921664 / Layer sizes: 10 7 1 Training error: 0.938849 / Test error: 0.920594 / Layer sizes: 10 3 3 1 Training error: 0.860078 / Test error: 0.911336 / Layer sizes: 10 1 Training error: 0.851690 / Test error: 0.896145 / Layer sizes: 10 1 Training error: 0.827575 / Test error: 0.887010 / Layer sizes: 10 1 Training error: 0.826243 / Test error: 0.878447 / Layer sizes: 10 1 Training error: 0.899353 / Test error: 0.870674 / Layer sizes: 10 7 1 Training error: 0.822793 / Test error: 0.870186 / Layer sizes: 10 1 Training error: 0.897548 / Test error: 0.869733 / Layer sizes: 10 7 1 Training error: 0.891448 / Test error: 0.861938 / Layer sizes: 10 7 1 Training error: 0.800179 / Test error: 0.854442 / Layer sizes: 10 1 Training error: 0.866473 / Test error: 0.842010 / Layer sizes: 10 7 1 Training error: 0.785762 / Test error: 0.829928 / Layer sizes: 10 1 Training error: 0.758764 / Test error: 0.800995 / Layer sizes: 10 1 Training error: 0.750744 / Test error: 0.789830 / Layer sizes: 10 1 Training error: 0.748914 / Test error: 0.782697 / Layer sizes: 10 1 Training error: 0.732370 / Test error: 0.766203 / Layer sizes: 10 1 Training error: 0.712504 / Test error: 0.739156 / Layer sizes: 10 1 Training error: 0.668594 / Test error: 0.701404 / Layer sizes: 10 1 Training error: 0.656313 / Test error: 0.672473 / Layer sizes: 10 1 Training error: 0.651117 / Test error: 0.658095 / Layer sizes: 10 1 Training error: 0.620816 / Test error: 0.647547 / Layer sizes: 10 1 Training error: 0.599749 / Test error: 0.634426 / Layer sizes: 10 1 Training error: 0.582492 / Test error: 0.621541 / Layer sizes: 10 1 Training error: 0.575520 / Test error: 0.621440 / Layer sizes: 10 1 Training error: 0.558043 / Test error: 0.612168 / Layer sizes: 10 1 Training error: 0.546166 / Test error: 0.584601 / Layer sizes: 10 1 Training error: 0.534123 / Test error: 0.569451 / Layer sizes: 10 1 Training error: 0.531703 / Test error: 0.556591 / Layer sizes: 10 1 Training error: 0.524704 / Test error: 0.537954 / Layer sizes: 10 1 Training error: 0.489033 / Test error: 0.513825 / Layer sizes: 10 1 Training error: 0.477638 / Test error: 0.500287 / Layer sizes: 10 1 Training error: 0.476316 / Test error: 0.497810 / Layer sizes: 10 1 Training error: 0.446737 / Test error: 0.491178 / Layer sizes: 10 1 Training error: 0.400731 / Test error: 0.483661 / Layer sizes: 10 1 Training error: 0.396491 / Test error: 0.476923 / Layer sizes: 10 1 Training error: 0.389624 / Test error: 0.459185 / Layer sizes: 10 1 Training error: 0.382487 / Test error: 0.452844 / Layer sizes: 10 1 Training error: 0.380263 / Test error: 0.432022 / Layer sizes: 10 1 Training error: 0.376753 / Test error: 0.416103 / Layer sizes: 10 1 Training error: 0.379972 / Test error: 0.406837 / Layer sizes: 10 10 1 Training error: 0.373556 / Test error: 0.404062 / Layer sizes: 10 10 1 Training error: 0.398465 / Test error: 0.397359 / Layer sizes: 10 10 10 1 Training error: 0.391812 / Test error: 0.381719 / Layer sizes: 10 10 10 1 Training error: 0.382489 / Test error: 0.376127 / Layer sizes: 10 10 10 1 Training error: 0.323336 / Test error: 0.364277 / Layer sizes: 10 10 10 1 Training error: 0.312379 / Test error: 0.362984 / Layer sizes: 10 10 10 1 Training error: 0.299126 / Test error: 0.349797 / Layer sizes: 10 7 1 Training error: 0.294349 / Test error: 0.339685 / Layer sizes: 10 7 1 Training error: 0.299686 / Test error: 0.338781 / Layer sizes: 10 10 10 1 Training error: 0.293426 / Test error: 0.338660 / Layer sizes: 10 10 10 1 Training error: 0.282970 / Test error: 0.337384 / Layer sizes: 10 10 10 1 Training error: 0.276878 / Test error: 0.333117 / Layer sizes: 10 10 10 1 Training error: 0.247786 / Test error: 0.320562 / Layer sizes: 10 10 10 1 Training error: 0.234363 / Test error: 0.318003 / Layer sizes: 10 10 10 1 Training error: 0.234133 / Test error: 0.297968 / Layer sizes: 10 10 10 1 Training error: 0.199594 / Test error: 0.287524 / Layer sizes: 10 10 10 1 Training error: 0.184717 / Test error: 0.278215 / Layer sizes: 10 10 10 1 Training error: 0.172105 / Test error: 0.265476 / Layer sizes: 10 10 10 1 Training error: 0.114842 / Test error: 0.263729 / Layer sizes: 10 10 10 1 Training error: 0.114093 / Test error: 0.248127 / Layer sizes: 10 10 10 1 Training error: 0.112806 / Test error: 0.246300 / Layer sizes: 10 10 10 1 Training error: 0.087198 / Test error: 0.233850 / Layer sizes: 10 10 10 1 Training error: 0.077081 / Test error: 0.227019 / Layer sizes: 10 10 10 1 Training error: 0.072281 / Test error: 0.210288 / Layer sizes: 10 10 10 1 Training error: 0.070963 / Test error: 0.193569 / Layer sizes: 10 10 10 1 Training error: 0.068812 / Test error: 0.185101 / Layer sizes: 10 10 10 1 Training error: 0.063230 / Test error: 0.183947 / Layer sizes: 10 10 10 1 Training error: 0.059345 / Test error: 0.177369 / Layer sizes: 10 10 10 1 Training error: 0.054013 / Test error: 0.175508 / Layer sizes: 10 10 10 1 Training error: 0.053794 / Test error: 0.166121 / Layer sizes: 10 10 10 1 Training error: 0.021888 / Test error: 0.122750 / Layer sizes: 10 10 10 1 Training error: 0.021663 / Test error: 0.118190 / Layer sizes: 10 10 10 1 Training error: 0.020141 / Test error: 0.115142 / Layer sizes: 10 10 10 1 Training error: 0.020005 / Test error: 0.114721 / Layer sizes: 10 10 10 1 Training error: 0.017214 / Test error: 0.112722 / Layer sizes: 10 10 10 1 Training error: 0.017188 / Test error: 0.100085 / Layer sizes: 10 10 10 1 Training error: 0.016234 / Test error: 0.078657 / Layer sizes: 10 10 10 1 Training error: 0.014556 / Test error: 0.078358 / Layer sizes: 10 10 10 1 Training error: 0.014471 / Test error: 0.069400 / Layer sizes: 10 10 10 1 Training error: 0.014236 / Test error: 0.064139 / Layer sizes: 10 10 10 1 Training error: 0.013946 / Test error: 0.063429 / Layer sizes: 10 10 10 1 Training error: 0.006309 / Test error: 0.062046 / Layer sizes: 10 10 10 1 Training error: 0.006067 / Test error: 0.060197 / Layer sizes: 10 10 10 1 Training error: 0.006034 / Test error: 0.058462 / Layer sizes: 10 10 10 1 Training error: 0.005828 / Test error: 0.052590 / Layer sizes: 10 10 10 1 Training error: 0.000218 / Test error: 0.040621 / Layer sizes: 10 7 1 Training error: 0.000183 / Test error: 0.039589 / Layer sizes: 10 7 1 Training error: 0.000182 / Test error: 0.039468 / Layer sizes: 10 7 1 Training error: 0.000181 / Test error: 0.039317 / Layer sizes: 10 7 1 Training error: 0.000140 / Test error: 0.039267 / Layer sizes: 10 7 1 Training error: 0.000138 / Test error: 0.038907 / Layer sizes: 10 7 1 Training error: 0.000137 / Test error: 0.038592 / Layer sizes: 10 7 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. 86.79 % correct. 13.21 % wrong. Limit: 17.48 %. 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.60643 + 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.bRqZXi 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.GWmSZu 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.H2Co9J 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.0rIww2 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.ROdu0n 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 75.17user 0.47system 1:38.67elapsed 76%CPU (0avgtext+0avgdata 45680maxresident)k 0inputs+0outputs (0major+193993minor)pagefaults 0swaps 84.75user 3.28system 1:52.96elapsed 77%CPU (0avgtext+0avgdata 122304maxresident)k 0inputs+0outputs (0major+645069minor)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 2018-12-22 03:00:05.853554789 +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)