$ git clone -n https://gitee.com/renbo02/anaconda.git /var/lib/mock/dist-an8.6-build-192306-60809/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-192306-60809/root/chroot_tmpdir/scmroot/anaconda'... $ git fetch origin be88545e1b9c492b601fdfd1fc87c634b4d312f0:KOJI_FETCH_HEAD From https://gitee.com/renbo02/anaconda * [new ref] be88545e1b9c492b601fdfd1fc87c634b4d312f0 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at be88545 update kernel selection description $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2023-01-04 16:03:02-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 172.16.0.137 Connecting to build.openanolis.cn (build.openanolis.cn)|172.16.0.137|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3369733 (3.2M) [application/x-bzip2] Saving to: ‘anaconda-33.16.7.12.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 165M 0s 50K .......... .......... .......... .......... .......... 3% 350M 0s 100K .......... .......... .......... .......... .......... 4% 371M 0s 150K .......... .......... .......... .......... .......... 6% 388M 0s 200K .......... .......... .......... .......... .......... 7% 418M 0s 250K .......... .......... .......... .......... .......... 9% 1.26M 0s 300K .......... .......... .......... .......... .......... 10% 478M 0s 350K .......... .......... .......... .......... .......... 12% 703M 0s 400K .......... .......... .......... .......... .......... 13% 531M 0s 450K .......... .......... .......... .......... .......... 15% 617M 0s 500K .......... .......... .......... .......... .......... 16% 653M 0s 550K .......... .......... .......... .......... .......... 18% 497M 0s 600K .......... .......... .......... .......... .......... 19% 721M 0s 650K .......... .......... .......... .......... .......... 21% 596M 0s 700K .......... .......... .......... .......... .......... 22% 719M 0s 750K .......... .......... .......... .......... .......... 24% 600M 0s 800K .......... .......... .......... .......... .......... 25% 663M 0s 850K .......... .......... .......... .......... .......... 27% 661M 0s 900K .......... .......... .......... .......... .......... 28% 618M 0s 950K .......... .......... .......... .......... .......... 30% 709M 0s 1000K .......... .......... .......... .......... .......... 31% 713M 0s 1050K .......... .......... .......... .......... .......... 33% 686M 0s 1100K .......... .......... .......... .......... .......... 34% 636M 0s 1150K .......... .......... .......... .......... .......... 36% 745M 0s 1200K .......... .......... .......... .......... .......... 37% 724M 0s 1250K .......... .......... .......... .......... .......... 39% 713M 0s 1300K .......... .......... .......... .......... .......... 41% 645M 0s 1350K .......... .......... .......... .......... .......... 42% 733M 0s 1400K .......... .......... .......... .......... .......... 44% 749M 0s 1450K .......... .......... .......... .......... .......... 45% 737M 0s 1500K .......... .......... .......... .......... .......... 47% 633M 0s 1550K .......... .......... .......... .......... .......... 48% 744M 0s 1600K .......... .......... .......... .......... .......... 50% 647M 0s 1650K .......... .......... .......... .......... .......... 51% 670M 0s 1700K .......... .......... .......... .......... .......... 53% 652M 0s 1750K .......... .......... .......... .......... .......... 54% 693M 0s 1800K .......... .......... .......... .......... .......... 56% 687M 0s 1850K .......... .......... .......... .......... .......... 57% 697M 0s 1900K .......... .......... .......... .......... .......... 59% 605M 0s 1950K .......... .......... .......... .......... .......... 60% 628M 0s 2000K .......... .......... .......... .......... .......... 62% 711M 0s 2050K .......... .......... .......... .......... .......... 63% 709M 0s 2100K .......... .......... .......... .......... .......... 65% 570M 0s 2150K .......... .......... .......... .......... .......... 66% 690M 0s 2200K .......... .......... .......... .......... .......... 68% 654M 0s 2250K .......... .......... .......... .......... .......... 69% 621M 0s 2300K .......... .......... .......... .......... .......... 71% 627M 0s 2350K .......... .......... .......... .......... .......... 72% 620M 0s 2400K .......... .......... .......... .......... .......... 74% 611M 0s 2450K .......... .......... .......... .......... .......... 75% 649M 0s 2500K .......... .......... .......... .......... .......... 77% 523M 0s 2550K .......... .......... .......... .......... .......... 79% 642M 0s 2600K .......... .......... .......... .......... .......... 80% 626M 0s 2650K .......... .......... .......... .......... .......... 82% 637M 0s 2700K .......... .......... .......... .......... .......... 83% 535M 0s 2750K .......... .......... .......... .......... .......... 85% 688M 0s 2800K .......... .......... .......... .......... .......... 86% 655M 0s 2850K .......... .......... .......... .......... .......... 88% 679M 0s 2900K .......... .......... .......... .......... .......... 89% 553M 0s 2950K .......... .......... .......... .......... .......... 91% 678M 0s 3000K .......... .......... .......... .......... .......... 92% 682M 0s 3050K .......... .......... .......... .......... .......... 94% 670M 0s 3100K .......... .......... .......... .......... .......... 95% 602M 0s 3150K .......... .......... .......... .......... .......... 97% 692M 0s 3200K .......... .......... .......... .......... .......... 98% 680M 0s 3250K .......... .......... .......... .......... 100% 673M=0.04s 2023-01-04 16:03:02 (73.0 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]