$ git clone -n https://gitee.com/src-anolis-os/anaconda.git /var/lib/mock/dist-an8.6-build-162085-58626/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-162085-58626/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard e4a9034c356ad8e552c90bbdf32086aab19967c1 HEAD is now at e4a9034 update to anaconda-33.16.7.12-1.el8 $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-11-15 14:50:06-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.227, 8.141.190.228, 8.141.190.224, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.227|: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% 1.48M 2s 50K .......... .......... .......... .......... .......... 3% 3.09M 2s 100K .......... .......... .......... .......... .......... 4% 166M 1s 150K .......... .......... .......... .......... .......... 6% 2.40M 1s 200K .......... .......... .......... .......... .......... 7% 365M 1s 250K .......... .......... .......... .......... .......... 9% 970K 1s 300K .......... .......... .......... .......... .......... 10% 329M 1s 350K .......... .......... .......... .......... .......... 12% 725M 1s 400K .......... .......... .......... .......... .......... 13% 7.31M 1s 450K .......... .......... .......... .......... .......... 15% 13.0M 1s 500K .......... .......... .......... .......... .......... 16% 258M 1s 550K .......... .......... .......... .......... .......... 18% 146M 1s 600K .......... .......... .......... .......... .......... 19% 60.8M 1s 650K .......... .......... .......... .......... .......... 21% 27.1M 0s 700K .......... .......... .......... .......... .......... 22% 106M 0s 750K .......... .......... .......... .......... .......... 24% 4.64M 0s 800K .......... .......... .......... .......... .......... 25% 101M 0s 850K .......... .......... .......... .......... .......... 27% 32.4M 0s 900K .......... .......... .......... .......... .......... 28% 39.4M 0s 950K .......... .......... .......... .......... .......... 30% 55.7M 0s 1000K .......... .......... .......... .......... .......... 31% 45.3M 0s 1050K .......... .......... .......... .......... .......... 33% 4.71M 0s 1100K .......... .......... .......... .......... .......... 34% 183M 0s 1150K .......... .......... .......... .......... .......... 36% 24.2M 0s 1200K .......... .......... .......... .......... .......... 37% 35.6M 0s 1250K .......... .......... .......... .......... .......... 39% 8.81M 0s 1300K .......... .......... .......... .......... .......... 41% 10.9M 0s 1350K .......... .......... .......... .......... .......... 42% 22.4M 0s 1400K .......... .......... .......... .......... .......... 44% 380M 0s 1450K .......... .......... .......... .......... .......... 45% 11.3M 0s 1500K .......... .......... .......... .......... .......... 47% 14.7M 0s 1550K .......... .......... .......... .......... .......... 48% 26.4M 0s 1600K .......... .......... .......... .......... .......... 50% 25.1M 0s 1650K .......... .......... .......... .......... .......... 51% 13.9M 0s 1700K .......... .......... .......... .......... .......... 53% 96.3M 0s 1750K .......... .......... .......... .......... .......... 54% 11.8M 0s 1800K .......... .......... .......... .......... .......... 56% 17.8M 0s 1850K .......... .......... .......... .......... .......... 57% 23.9M 0s 1900K .......... .......... .......... .......... .......... 59% 8.35M 0s 1950K .......... .......... .......... .......... .......... 60% 217M 0s 2000K .......... .......... .......... .......... .......... 62% 52.8M 0s 2050K .......... .......... .......... .......... .......... 63% 55.9M 0s 2100K .......... .......... .......... .......... .......... 65% 20.8M 0s 2150K .......... .......... .......... .......... .......... 66% 7.07M 0s 2200K .......... .......... .......... .......... .......... 68% 372M 0s 2250K .......... .......... .......... .......... .......... 69% 18.0M 0s 2300K .......... .......... .......... .......... .......... 71% 46.2M 0s 2350K .......... .......... .......... .......... .......... 72% 203M 0s 2400K .......... .......... .......... .......... .......... 74% 14.7M 0s 2450K .......... .......... .......... .......... .......... 75% 166M 0s 2500K .......... .......... .......... .......... .......... 77% 10.7M 0s 2550K .......... .......... .......... .......... .......... 79% 16.0M 0s 2600K .......... .......... .......... .......... .......... 80% 88.6M 0s 2650K .......... .......... .......... .......... .......... 82% 12.4M 0s 2700K .......... .......... .......... .......... .......... 83% 542M 0s 2750K .......... .......... .......... .......... .......... 85% 35.7M 0s 2800K .......... .......... .......... .......... .......... 86% 33.1M 0s 2850K .......... .......... .......... .......... .......... 88% 10.4M 0s 2900K .......... .......... .......... .......... .......... 89% 21.5M 0s 2950K .......... .......... .......... .......... .......... 91% 25.7M 0s 3000K .......... .......... .......... .......... .......... 92% 15.6M 0s 3050K .......... .......... .......... .......... .......... 94% 7.25M 0s 3100K .......... .......... .......... .......... .......... 95% 365M 0s 3150K .......... .......... .......... .......... .......... 97% 367M 0s 3200K .......... .......... .......... .......... .......... 98% 669M 0s 3250K .......... .......... .......... .......... 100% 11.9M=0.3s 2022-11-15 14:50:07 (12.2 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]