request from: hawk started at: Sat Dec 7 17:02:36 2019 building SRPM using: cd rpm/packages; nice -n 0 ./builder -nu -nm --nodeps --http --define '_tld_builder 1' -bs --without tests -r auto/ti/python-numpy-1.16.5-2 -Tp auto/ti/ -tt python-numpy.spec 2>&1 builder: SMP make flags are set to -j2 Cloning into 'python-numpy'... 2732d8d5a4eae800e7726f17ef48b91374b0826d Note: switching to '2732d8d5a4eae800e7726f17ef48b91374b0826d'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at 2732d8d - release 2 fatal: HEAD does not point to a branch Building python-numpy.spec with the following conditional flags: --without tests from available: --with : --without: python2 python3 Available branches: master Searching for tag auto/ti/python-numpy-1.16.5-2... Searching for tag auto/ti/python-numpy-1_16_5-2... --2019-12-07 16:02:37-- http://df.tld-linux.org/by-md5/f/9/f9c22f53f17e81b25af8e53b026a9831/numpy-1.16.5.tar.gz Resolving df.tld-linux.org (df.tld-linux.org)... 95.216.105.199 Connecting to df.tld-linux.org (df.tld-linux.org)|95.216.105.199|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 4649771 (4.4M) [application/x-gzip] Saving to: 'numpy-1.16.5.tar.gz' 0K .......... .......... .......... .......... .......... 1% 174M 0s 50K .......... .......... .......... .......... .......... 2% 231M 0s 100K .......... .......... .......... .......... .......... 3% 329M 0s 150K .......... .......... .......... .......... .......... 4% 409M 0s 200K .......... .......... .......... .......... .......... 5% 403M 0s 250K .......... .......... .......... .......... .......... 6% 423M 0s 300K .......... .......... .......... .......... .......... 7% 391M 0s 350K .......... .......... .......... .......... .......... 8% 424M 0s 400K .......... .......... .......... .......... .......... 9% 395M 0s 450K .......... .......... .......... .......... .......... 11% 467M 0s 500K .......... .......... .......... .......... .......... 12% 467M 0s 550K .......... .......... .......... .......... .......... 13% 456M 0s 600K .......... .......... .......... .......... .......... 14% 409M 0s 650K .......... .......... .......... .......... .......... 15% 463M 0s 700K .......... .......... .......... .......... .......... 16% 441M 0s 750K .......... .......... .......... .......... .......... 17% 442M 0s 800K .......... .......... .......... .......... .......... 18% 400M 0s 850K .......... .......... .......... .......... .......... 19% 471M 0s 900K .......... .......... .......... .......... .......... 20% 456M 0s 950K .......... .......... .......... .......... .......... 22% 471M 0s 1000K .......... .......... .......... .......... .......... 23% 399M 0s 1050K .......... .......... .......... .......... .......... 24% 459M 0s 1100K .......... .......... .......... .......... .......... 25% 466M 0s 1150K .......... .......... .......... .......... .......... 26% 3.16M 0s 1200K .......... .......... .......... .......... .......... 27% 305M 0s 1250K .......... .......... .......... .......... .......... 28% 295M 0s 1300K .......... .......... .......... .......... .......... 29% 366M 0s 1350K .......... .......... .......... .......... .......... 30% 424M 0s 1400K .......... .......... .......... .......... .......... 31% 318M 0s 1450K .......... .......... .......... .......... .......... 33% 295M 0s 1500K .......... .......... .......... .......... .......... 34% 359M 0s 1550K .......... .......... .......... .......... .......... 35% 433M 0s 1600K .......... .......... .......... .......... .......... 36% 427M 0s 1650K .......... .......... .......... .......... .......... 37% 422M 0s 1700K .......... .......... .......... .......... .......... 38% 377M 0s 1750K .......... .......... .......... .......... .......... 39% 423M 0s 1800K .......... .......... .......... .......... .......... 40% 363M 0s 1850K .......... .......... .......... .......... .......... 41% 378M 0s 1900K .......... .......... .......... .......... .......... 42% 370M 0s 1950K .......... .......... .......... .......... .......... 44% 430M 0s 2000K .......... .......... .......... .......... .......... 45% 427M 0s 2050K .......... .......... .......... .......... .......... 46% 432M 0s 2100K .......... .......... .......... .......... .......... 47% 324M 0s 2150K .......... .......... .......... .......... .......... 48% 423M 0s 2200K .......... .......... .......... .......... .......... 49% 375M 0s 2250K .......... .......... .......... .......... .......... 50% 323M 0s 2300K .......... .......... .......... .......... .......... 51% 377M 0s 2350K .......... .......... .......... .......... .......... 52% 434M 0s 2400K .......... .......... .......... .......... .......... 53% 425M 0s 2450K .......... .......... .......... .......... .......... 55% 10.2M 0s 2500K .......... .......... .......... .......... .......... 56% 409M 0s 2550K .......... .......... .......... .......... .......... 57% 431M 0s 2600K .......... .......... .......... .......... .......... 58% 430M 0s 2650K .......... .......... .......... .......... .......... 59% 372M 0s 2700K .......... .......... .......... .......... .......... 60% 437M 0s 2750K .......... .......... .......... .......... .......... 61% 313M 0s 2800K .......... .......... .......... .......... .......... 62% 398M 0s 2850K .......... .......... .......... .......... .......... 63% 379M 0s 2900K .......... .......... .......... .......... .......... 64% 440M 0s 2950K .......... .......... .......... .......... .......... 66% 443M 0s 3000K .......... .......... .......... .......... .......... 67% 432M 0s 3050K .......... .......... .......... .......... .......... 68% 381M 0s 3100K .......... .......... .......... .......... .......... 69% 432M 0s 3150K .......... .......... .......... .......... .......... 70% 374M 0s 3200K .......... .......... .......... .......... .......... 71% 383M 0s 3250K .......... .......... .......... .......... .......... 72% 378M 0s 3300K .......... .......... .......... .......... .......... 73% 428M 0s 3350K .......... .......... .......... .......... .......... 74% 433M 0s 3400K .......... .......... .......... .......... .......... 75% 441M 0s 3450K .......... .......... .......... .......... .......... 77% 381M 0s 3500K .......... .......... .......... .......... .......... 78% 365M 0s 3550K .......... .......... .......... .......... .......... 79% 336M 0s 3600K .......... .......... .......... .......... .......... 80% 307M 0s 3650K .......... .......... .......... .......... .......... 81% 349M 0s 3700K .......... .......... .......... .......... .......... 82% 92.7M 0s 3750K .......... .......... .......... .......... .......... 83% 315M 0s 3800K .......... .......... .......... .......... .......... 84% 264M 0s 3850K .......... .......... .......... .......... .......... 85% 414M 0s 3900K .......... .......... .......... .......... .......... 86% 436M 0s 3950K .......... .......... .......... .......... .......... 88% 433M 0s 4000K .......... .......... .......... .......... .......... 89% 371M 0s 4050K .......... .......... .......... .......... .......... 90% 436M 0s 4100K .......... .......... .......... .......... .......... 91% 428M 0s 4150K .......... .......... .......... .......... .......... 92% 348M 0s 4200K .......... .......... .......... .......... .......... 93% 315M 0s 4250K .......... .......... .......... .......... .......... 94% 436M 0s 4300K .......... .......... .......... .......... .......... 95% 443M 0s 4350K .......... .......... .......... .......... .......... 96% 360M 0s 4400K .......... .......... .......... .......... .......... 98% 377M 0s 4450K .......... .......... .......... .......... .......... 99% 436M 0s 4500K .......... .......... .......... .......... 100% 352M=0.03s 2019-12-07 16:02:37 (139 MB/s) - 'numpy-1.16.5.tar.gz' saved [4649771/4649771] warning: Could not canonicalize hostname: giant Building target platforms: i686-linux Wrote: /home/users/builder/rpm/SRPMS/python-numpy-1.16.5-2.src.rpm exit status 0 Tagging with prefix: auto/ti/ HEAD is now at 2732d8d - release 2 fatal: HEAD does not point to a branch Building python-numpy.spec with the following conditional flags: --without tests from available: --with : --without: python2 python3 Writing git revision for tag auto/ti/python-numpy-1.16.5-2 On detached HEAD. Use -r BRANCHNAME to override error: Macro %_builddir has empty body error: Macro %_builddir has empty body Executing(--clean): env -i TMP=/home/users/builder/tmp HOME=/home/users/builder PATH=/bin:/usr/bin:/usr/sbin:/sbin:/usr/X11R6/bin TMPDIR=/home/users/builder/tmp /bin/sh -e /home/users/builder/tmp/rpm-tmp.50463 + umask 022 + cd /home/users/builder/rpm/BUILD + rm -rf numpy-1.16.5 Begin-TLD-Builder-Info Build-Time: user:1.04s sys:0.26s real:2.07s (faults io:0 non-io:91670) Files queued for ftp: 4654816 python-numpy-1.16.5-2.src.rpm 191 python-numpy-1.16.5-2.src.rpm.uploadinfo End-TLD-Builder-Info