$ git clone -n https://gitee.com/src-anolis-os/anaconda.git /var/lib/mock/dist-an8.7-build-261813-63788/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-261813-63788/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 2dcc24eb7233f000e57204375775437030b00b9b HEAD is now at 2dcc24e Set default timezone to Beijing $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2023-05-11 10:41:45-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 220.181.158.231, 220.181.158.228, 220.181.158.225, ... Connecting to build.openanolis.cn (build.openanolis.cn)|220.181.158.231|: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% 6.58M 0s 50K .......... .......... .......... .......... .......... 3% 7.31M 0s 100K .......... .......... .......... .......... .......... 4% 55.9M 0s 150K .......... .......... .......... .......... .......... 6% 128M 0s 200K .......... .......... .......... .......... .......... 7% 333M 0s 250K .......... .......... .......... .......... .......... 9% 7.68M 0s 300K .......... .......... .......... .......... .......... 10% 195M 0s 350K .......... .......... .......... .......... .......... 12% 83.3M 0s 400K .......... .......... .......... .......... .......... 13% 431M 0s 450K .......... .......... .......... .......... .......... 15% 122M 0s 500K .......... .......... .......... .......... .......... 16% 95.6M 0s 550K .......... .......... .......... .......... .......... 18% 157M 0s 600K .......... .......... .......... .......... .......... 19% 385M 0s 650K .......... .......... .......... .......... .......... 21% 10.0M 0s 700K .......... .......... .......... .......... .......... 22% 35.5M 0s 750K .......... .......... .......... .......... .......... 24% 131M 0s 800K .......... .......... .......... .......... .......... 25% 95.0M 0s 850K .......... .......... .......... .......... .......... 27% 141M 0s 900K .......... .......... .......... .......... .......... 28% 145M 0s 950K .......... .......... .......... .......... .......... 30% 244M 0s 1000K .......... .......... .......... .......... .......... 31% 9.54M 0s 1050K .......... .......... .......... .......... .......... 33% 268M 0s 1100K .......... .......... .......... .......... .......... 34% 141M 0s 1150K .......... .......... .......... .......... .......... 36% 148M 0s 1200K .......... .......... .......... .......... .......... 37% 54.9M 0s 1250K .......... .......... .......... .......... .......... 39% 151M 0s 1300K .......... .......... .......... .......... .......... 41% 203M 0s 1350K .......... .......... .......... .......... .......... 42% 106M 0s 1400K .......... .......... .......... .......... .......... 44% 260M 0s 1450K .......... .......... .......... .......... .......... 45% 9.67M 0s 1500K .......... .......... .......... .......... .......... 47% 139M 0s 1550K .......... .......... .......... .......... .......... 48% 167M 0s 1600K .......... .......... .......... .......... .......... 50% 177M 0s 1650K .......... .......... .......... .......... .......... 51% 58.7M 0s 1700K .......... .......... .......... .......... .......... 53% 217M 0s 1750K .......... .......... .......... .......... .......... 54% 157M 0s 1800K .......... .......... .......... .......... .......... 56% 161M 0s 1850K .......... .......... .......... .......... .......... 57% 9.36M 0s 1900K .......... .......... .......... .......... .......... 59% 133M 0s 1950K .......... .......... .......... .......... .......... 60% 119M 0s 2000K .......... .......... .......... .......... .......... 62% 153M 0s 2050K .......... .......... .......... .......... .......... 63% 161M 0s 2100K .......... .......... .......... .......... .......... 65% 28.8M 0s 2150K .......... .......... .......... .......... .......... 66% 140M 0s 2200K .......... .......... .......... .......... .......... 68% 98.0M 0s 2250K .......... .......... .......... .......... .......... 69% 161M 0s 2300K .......... .......... .......... .......... .......... 71% 142M 0s 2350K .......... .......... .......... .......... .......... 72% 11.1M 0s 2400K .......... .......... .......... .......... .......... 74% 125M 0s 2450K .......... .......... .......... .......... .......... 75% 155M 0s 2500K .......... .......... .......... .......... .......... 77% 126M 0s 2550K .......... .......... .......... .......... .......... 79% 168M 0s 2600K .......... .......... .......... .......... .......... 80% 47.5M 0s 2650K .......... .......... .......... .......... .......... 82% 85.9M 0s 2700K .......... .......... .......... .......... .......... 83% 161M 0s 2750K .......... .......... .......... .......... .......... 85% 155M 0s 2800K .......... .......... .......... .......... .......... 86% 7.26M 0s 2850K .......... .......... .......... .......... .......... 88% 87.4M 0s 2900K .......... .......... .......... .......... .......... 89% 127M 0s 2950K .......... .......... .......... .......... .......... 91% 155M 0s 3000K .......... .......... .......... .......... .......... 92% 164M 0s 3050K .......... .......... .......... .......... .......... 94% 152M 0s 3100K .......... .......... .......... .......... .......... 95% 152M 0s 3150K .......... .......... .......... .......... .......... 97% 153M 0s 3200K .......... .......... .......... .......... .......... 98% 99.8M 0s 3250K .......... .......... .......... .......... 100% 424M=0.08s 2023-05-11 10:41:45 (42.6 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]