$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.7-build-174787-59051/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-174787-59051/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 0ccbf73 0009-4 $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-12-06 08:43:22-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.228, 8.141.190.229, 8.141.190.227, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.228|: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% 3.45M 1s 50K .......... .......... .......... .......... .......... 3% 6.98M 1s 100K .......... .......... .......... .......... .......... 4% 213M 0s 150K .......... .......... .......... .......... .......... 6% 711M 0s 200K .......... .......... .......... .......... .......... 7% 7.00M 0s 250K .......... .......... .......... .......... .......... 9% 549M 0s 300K .......... .......... .......... .......... .......... 10% 650M 0s 350K .......... .......... .......... .......... .......... 12% 656M 0s 400K .......... .......... .......... .......... .......... 13% 7.33M 0s 450K .......... .......... .......... .......... .......... 15% 132M 0s 500K .......... .......... .......... .......... .......... 16% 594M 0s 550K .......... .......... .......... .......... .......... 18% 601M 0s 600K .......... .......... .......... .......... .......... 19% 741M 0s 650K .......... .......... .......... .......... .......... 21% 745M 0s 700K .......... .......... .......... .......... .......... 22% 81.7M 0s 750K .......... .......... .......... .......... .......... 24% 542M 0s 800K .......... .......... .......... .......... .......... 25% 559M 0s 850K .......... .......... .......... .......... .......... 27% 8.21M 0s 900K .......... .......... .......... .......... .......... 28% 520M 0s 950K .......... .......... .......... .......... .......... 30% 278M 0s 1000K .......... .......... .......... .......... .......... 31% 505M 0s 1050K .......... .......... .......... .......... .......... 33% 502M 0s 1100K .......... .......... .......... .......... .......... 34% 681M 0s 1150K .......... .......... .......... .......... .......... 36% 206M 0s 1200K .......... .......... .......... .......... .......... 37% 7.44M 0s 1250K .......... .......... .......... .......... .......... 39% 377M 0s 1300K .......... .......... .......... .......... .......... 41% 647M 0s 1350K .......... .......... .......... .......... .......... 42% 512M 0s 1400K .......... .......... .......... .......... .......... 44% 256M 0s 1450K .......... .......... .......... .......... .......... 45% 446M 0s 1500K .......... .......... .......... .......... .......... 47% 491M 0s 1550K .......... .......... .......... .......... .......... 48% 512M 0s 1600K .......... .......... .......... .......... .......... 50% 594M 0s 1650K .......... .......... .......... .......... .......... 51% 715M 0s 1700K .......... .......... .......... .......... .......... 53% 5.95M 0s 1750K .......... .......... .......... .......... .......... 54% 268M 0s 1800K .......... .......... .......... .......... .......... 56% 650M 0s 1850K .......... .......... .......... .......... .......... 57% 612M 0s 1900K .......... .......... .......... .......... .......... 59% 602M 0s 1950K .......... .......... .......... .......... .......... 60% 696M 0s 2000K .......... .......... .......... .......... .......... 62% 624M 0s 2050K .......... .......... .......... .......... .......... 63% 643M 0s 2100K .......... .......... .......... .......... .......... 65% 630M 0s 2150K .......... .......... .......... .......... .......... 66% 559M 0s 2200K .......... .......... .......... .......... .......... 68% 694M 0s 2250K .......... .......... .......... .......... .......... 69% 6.02M 0s 2300K .......... .......... .......... .......... .......... 71% 407M 0s 2350K .......... .......... .......... .......... .......... 72% 571M 0s 2400K .......... .......... .......... .......... .......... 74% 526M 0s 2450K .......... .......... .......... .......... .......... 75% 502M 0s 2500K .......... .......... .......... .......... .......... 77% 657M 0s 2550K .......... .......... .......... .......... .......... 79% 660M 0s 2600K .......... .......... .......... .......... .......... 80% 568M 0s 2650K .......... .......... .......... .......... .......... 82% 664M 0s 2700K .......... .......... .......... .......... .......... 83% 648M 0s 2750K .......... .......... .......... .......... .......... 85% 7.19M 0s 2800K .......... .......... .......... .......... .......... 86% 307M 0s 2850K .......... .......... .......... .......... .......... 88% 504M 0s 2900K .......... .......... .......... .......... .......... 89% 647M 0s 2950K .......... .......... .......... .......... .......... 91% 525M 0s 3000K .......... .......... .......... .......... .......... 92% 637M 0s 3050K .......... .......... .......... .......... .......... 94% 545M 0s 3100K .......... .......... .......... .......... .......... 95% 630M 0s 3150K .......... .......... .......... .......... .......... 97% 602M 0s 3200K .......... .......... .......... .......... .......... 98% 697M 0s 3250K .......... .......... .......... .......... 100% 706M=0.08s 2022-12-06 08:43:22 (41.9 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]