<86>Jan 6 07:36:45 userdel[64629]: delete user 'rooter' <86>Jan 6 07:36:45 userdel[64629]: removed group 'rooter' owned by 'rooter' <86>Jan 6 07:36:45 groupadd[64693]: group added to /etc/group: name=rooter, GID=567 <86>Jan 6 07:36:45 groupadd[64693]: group added to /etc/gshadow: name=rooter <86>Jan 6 07:36:45 groupadd[64693]: new group: name=rooter, GID=567 <86>Jan 6 07:36:45 useradd[64745]: new user: name=rooter, UID=567, GID=567, home=/root, shell=/bin/bash <86>Jan 6 07:36:45 userdel[64804]: delete user 'builder' <86>Jan 6 07:36:45 userdel[64804]: removed group 'builder' owned by 'builder' <86>Jan 6 07:36:45 userdel[64804]: removed shadow group 'builder' owned by 'builder' <86>Jan 6 07:36:45 groupadd[64839]: group added to /etc/group: name=builder, GID=568 <86>Jan 6 07:36:45 groupadd[64839]: group added to /etc/gshadow: name=builder <86>Jan 6 07:36:45 groupadd[64839]: new group: name=builder, GID=568 <86>Jan 6 07:36:45 useradd[64871]: new user: name=builder, UID=568, GID=568, home=/usr/src, shell=/bin/bash <13>Jan 6 07:36:47 rpmi: libruby-2.5.1-alt0.M80P.1 1525659728 installed <13>Jan 6 07:36:47 rpmi: libyaml2-0.1.6-alt1 1397147705 installed <13>Jan 6 07:36:47 rpmi: libverto-0.2.6-alt1_6 1455633232 installed <13>Jan 6 07:36:47 rpmi: libkeyutils-1.5.10-alt0.M80P.1 1490025499 installed <13>Jan 6 07:36:47 rpmi: libgdbm-1.8.3-alt10 1454943334 installed <13>Jan 6 07:36:47 rpmi: libcom_err-1.42.13-alt2 1449075923 installed <13>Jan 6 07:36:47 rpmi: ca-certificates-2016.02.25-alt1 1462368370 installed <13>Jan 6 07:36:47 rpmi: libcrypto10-1.0.2n-alt0.M80P.1 1512766170 installed <13>Jan 6 07:36:47 rpmi: ruby-2.5.1-alt0.M80P.1 1525659728 installed <13>Jan 6 07:36:47 rpmi: libssl10-1.0.2n-alt0.M80P.1 1512766170 installed <86>Jan 6 07:36:47 groupadd[76793]: group added to /etc/group: name=_keytab, GID=499 <86>Jan 6 07:36:47 groupadd[76793]: group added to /etc/gshadow: name=_keytab <86>Jan 6 07:36:47 groupadd[76793]: new group: name=_keytab, GID=499 <13>Jan 6 07:36:48 rpmi: libkrb5-1.14.6-alt1.M80P.1 1525355764 installed <13>Jan 6 07:36:48 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.64979 + 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.16726 + 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.16726 + 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.72440 + 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: 0.994463 / Test error: 0.993120 / Layer sizes: 10 3 1 Training error: 0.993495 / Test error: 0.990181 / Layer sizes: 10 9 4 1 Training error: 0.985600 / Test error: 0.979794 / Layer sizes: 10 3 1 Training error: 0.985951 / Test error: 0.975599 / Layer sizes: 10 10 1 Training error: 0.964627 / Test error: 0.962910 / Layer sizes: 10 1 Training error: 0.974142 / Test error: 0.958578 / Layer sizes: 10 10 1 Training error: 0.965104 / Test error: 0.946329 / Layer sizes: 10 10 1 Training error: 0.966281 / Test error: 0.944674 / Layer sizes: 10 3 1 Training error: 0.959363 / Test error: 0.931718 / Layer sizes: 10 10 1 Training error: 0.928717 / Test error: 0.918041 / Layer sizes: 10 1 Training error: 0.945051 / Test error: 0.914708 / Layer sizes: 10 10 1 Training error: 0.933399 / Test error: 0.906221 / Layer sizes: 10 10 1 Training error: 0.933321 / Test error: 0.900479 / Layer sizes: 10 10 1 Training error: 0.900475 / Test error: 0.898099 / Layer sizes: 10 1 Training error: 0.916316 / Test error: 0.894489 / Layer sizes: 10 10 1 Training error: 0.907329 / Test error: 0.892525 / Layer sizes: 10 10 1 Training error: 0.852757 / Test error: 0.874990 / Layer sizes: 10 1 Training error: 0.831312 / Test error: 0.852023 / Layer sizes: 10 1 Training error: 0.872564 / Test error: 0.837970 / Layer sizes: 10 10 1 Training error: 0.867139 / Test error: 0.835780 / Layer sizes: 10 10 1 Training error: 0.852325 / Test error: 0.823329 / Layer sizes: 10 10 1 Training error: 0.822618 / Test error: 0.810212 / Layer sizes: 10 10 1 Training error: 0.742031 / Test error: 0.800091 / Layer sizes: 10 1 Training error: 0.739791 / Test error: 0.785850 / Layer sizes: 10 1 Training error: 0.717209 / Test error: 0.784001 / Layer sizes: 10 1 Training error: 0.696619 / Test error: 0.772099 / Layer sizes: 10 1 Training error: 0.760738 / Test error: 0.766759 / Layer sizes: 10 10 1 Training error: 0.692258 / Test error: 0.755540 / Layer sizes: 10 1 Training error: 0.732298 / Test error: 0.740037 / Layer sizes: 10 10 1 Training error: 0.687367 / Test error: 0.721760 / Layer sizes: 10 1 Training error: 0.684276 / Test error: 0.698368 / Layer sizes: 10 1 Training error: 0.642735 / Test error: 0.674587 / Layer sizes: 10 1 Training error: 0.629006 / Test error: 0.660810 / Layer sizes: 10 1 Training error: 0.596550 / Test error: 0.645496 / Layer sizes: 10 1 Training error: 0.554349 / Test error: 0.628888 / Layer sizes: 10 1 Training error: 0.526131 / Test error: 0.603293 / Layer sizes: 10 1 Training error: 0.515351 / Test error: 0.586295 / Layer sizes: 10 1 Training error: 0.508936 / Test error: 0.572987 / Layer sizes: 10 1 Training error: 0.506378 / Test error: 0.568844 / Layer sizes: 10 1 Training error: 0.493277 / Test error: 0.558382 / Layer sizes: 10 1 Training error: 0.489145 / Test error: 0.539610 / Layer sizes: 10 1 Training error: 0.480591 / Test error: 0.527414 / Layer sizes: 10 1 Training error: 0.470556 / Test error: 0.511046 / Layer sizes: 10 1 Training error: 0.459745 / Test error: 0.507206 / Layer sizes: 10 1 Training error: 0.456010 / Test error: 0.502911 / Layer sizes: 10 1 Training error: 0.437184 / Test error: 0.501304 / Layer sizes: 10 1 Training error: 0.436128 / Test error: 0.493249 / Layer sizes: 10 1 Training error: 0.403719 / Test error: 0.483019 / Layer sizes: 10 1 Training error: 0.399859 / Test error: 0.481309 / Layer sizes: 10 1 Training error: 0.393660 / Test error: 0.479780 / Layer sizes: 10 1 Training error: 0.389737 / Test error: 0.471016 / Layer sizes: 10 1 Training error: 0.350988 / Test error: 0.459442 / Layer sizes: 10 1 Training error: 0.344528 / Test error: 0.451165 / Layer sizes: 10 1 Training error: 0.342566 / Test error: 0.448179 / Layer sizes: 10 1 Training error: 0.337591 / Test error: 0.446322 / Layer sizes: 10 1 Training error: 0.320834 / Test error: 0.446282 / Layer sizes: 10 1 Training error: 0.318798 / Test error: 0.431300 / Layer sizes: 10 1 Training error: 0.314248 / Test error: 0.431292 / Layer sizes: 10 1 Training error: 0.311851 / Test error: 0.423490 / Layer sizes: 10 1 Training error: 0.308387 / Test error: 0.403083 / Layer sizes: 10 1 Training error: 0.243406 / Test error: 0.396831 / Layer sizes: 10 1 Training error: 0.281725 / Test error: 0.396477 / Layer sizes: 10 7 1 Training error: 0.241772 / Test error: 0.391996 / Layer sizes: 10 1 Training error: 0.206509 / Test error: 0.376785 / Layer sizes: 10 10 10 1 Training error: 0.179443 / Test error: 0.372310 / Layer sizes: 10 3 1 Training error: 0.174141 / Test error: 0.368715 / Layer sizes: 10 3 1 Training error: 0.172503 / Test error: 0.364464 / Layer sizes: 10 3 1 Training error: 0.172400 / Test error: 0.355565 / Layer sizes: 10 3 1 Training error: 0.158611 / Test error: 0.340681 / Layer sizes: 10 3 1 Training error: 0.158427 / Test error: 0.333747 / Layer sizes: 10 3 1 Training error: 0.156632 / Test error: 0.327180 / Layer sizes: 10 3 1 Training error: 0.155509 / Test error: 0.319918 / Layer sizes: 10 3 1 Training error: 0.150443 / Test error: 0.317744 / Layer sizes: 10 3 1 Training error: 0.149549 / Test error: 0.310432 / Layer sizes: 10 3 1 Training error: 0.146959 / Test error: 0.303515 / Layer sizes: 10 3 1 Training error: 0.133372 / Test error: 0.291881 / Layer sizes: 10 3 1 Training error: 0.091254 / Test error: 0.282770 / Layer sizes: 10 3 1 Training error: 0.091201 / Test error: 0.266994 / Layer sizes: 10 3 1 Training error: 0.087096 / Test error: 0.247481 / Layer sizes: 10 3 1 Training error: 0.041721 / Test error: 0.245097 / Layer sizes: 10 10 1 Training error: 0.041693 / Test error: 0.236444 / Layer sizes: 10 10 1 Training error: 0.041661 / Test error: 0.204842 / Layer sizes: 10 10 1 Training error: 0.041432 / Test error: 0.196163 / Layer sizes: 10 10 1 Training error: 0.041423 / Test error: 0.185841 / Layer sizes: 10 10 1 Training error: 0.041402 / Test error: 0.183757 / Layer sizes: 10 10 1 Training error: 0.041399 / Test error: 0.174848 / Layer sizes: 10 10 1 Training error: 0.041235 / Test error: 0.172621 / Layer sizes: 10 10 1 Training error: 0.041206 / Test error: 0.165293 / Layer sizes: 10 10 1 Training error: 0.041204 / Test error: 0.146139 / Layer sizes: 10 10 1 Training error: 0.041199 / Test error: 0.142301 / Layer sizes: 10 10 1 Training error: 0.041096 / Test error: 0.126372 / Layer sizes: 10 10 1 Training error: 0.041090 / Test error: 0.125451 / Layer sizes: 10 10 1 Training error: 0.002681 / Test error: 0.114992 / Layer sizes: 10 10 1 Training error: 0.002662 / Test error: 0.098004 / Layer sizes: 10 10 1 Training error: 0.002657 / Test error: 0.096781 / Layer sizes: 10 10 1 Training error: 0.002615 / Test error: 0.095324 / Layer sizes: 10 10 1 Training error: 0.002549 / Test error: 0.063584 / Layer sizes: 10 10 1 Training error: 0.002413 / Test error: 0.044394 / 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. 89.48 % correct. 10.52 % wrong. Limit: 17.43 %. 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.12 + 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.oPBQ5L 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.7hboBt 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.f3fejc 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.GV3ti1 find-provides: running scripts (debuginfo) Finding Requires (using /usr/lib/rpm/find-requires) Executing: /bin/sh -e /usr/src/tmp/rpm-tmp.iRyfJR 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 66.24user 0.32system 1:36.89elapsed 68%CPU (0avgtext+0avgdata 34460maxresident)k 0inputs+0outputs (0major+125970minor)pagefaults 0swaps 74.61user 2.86system 1:49.18elapsed 70%CPU (0avgtext+0avgdata 124908maxresident)k 0inputs+0outputs (0major+462860minor)pagefaults 0swaps