$ git clone -n https://gitee.com/src-anolis-os/anaconda.git /var/lib/mock/dist-an8.7-build-261809-63788/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-261809-63788/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 10:36:59-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 220.181.158.232, 220.181.158.228, 220.181.158.226, ... Connecting to build.openanolis.cn (build.openanolis.cn)|220.181.158.232|: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% 597K 5s 50K .......... .......... .......... .......... .......... 3% 1.13M 4s 100K .......... .......... .......... .......... .......... 4% 12.4M 3s 150K .......... .......... .......... .......... .......... 6% 1.35M 3s 200K .......... .......... .......... .......... .......... 7% 54.1M 2s 250K .......... .......... .......... .......... .......... 9% 10.0M 2s 300K .......... .......... .......... .......... .......... 10% 41.5M 1s 350K .......... .......... .......... .......... .......... 12% 1.36M 2s 400K .......... .......... .......... .......... .......... 13% 19.7M 1s 450K .......... .......... .......... .......... .......... 15% 132M 1s 500K .......... .......... .......... .......... .......... 16% 119M 1s 550K .......... .......... .......... .......... .......... 18% 18.1M 1s 600K .......... .......... .......... .......... .......... 19% 146M 1s 650K .......... .......... .......... .......... .......... 21% 17.9M 1s 700K .......... .......... .......... .......... .......... 22% 145M 1s 750K .......... .......... .......... .......... .......... 24% 1.46M 1s 800K .......... .......... .......... .......... .......... 25% 35.5M 1s 850K .......... .......... .......... .......... .......... 27% 96.2M 1s 900K .......... .......... .......... .......... .......... 28% 28.7M 1s 950K .......... .......... .......... .......... .......... 30% 148M 1s 1000K .......... .......... .......... .......... .......... 31% 23.4M 1s 1050K .......... .......... .......... .......... .......... 33% 50.9M 1s 1100K .......... .......... .......... .......... .......... 34% 251M 0s 1150K .......... .......... .......... .......... .......... 36% 98.3M 0s 1200K .......... .......... .......... .......... .......... 37% 173M 0s 1250K .......... .......... .......... .......... .......... 39% 341M 0s 1300K .......... .......... .......... .......... .......... 41% 47.9M 0s 1350K .......... .......... .......... .......... .......... 42% 125M 0s 1400K .......... .......... .......... .......... .......... 44% 118M 0s 1450K .......... .......... .......... .......... .......... 45% 110M 0s 1500K .......... .......... .......... .......... .......... 47% 1.49M 0s 1550K .......... .......... .......... .......... .......... 48% 111M 0s 1600K .......... .......... .......... .......... .......... 50% 99.8M 0s 1650K .......... .......... .......... .......... .......... 51% 81.4M 0s 1700K .......... .......... .......... .......... .......... 53% 55.3M 0s 1750K .......... .......... .......... .......... .......... 54% 85.2M 0s 1800K .......... .......... .......... .......... .......... 56% 86.5M 0s 1850K .......... .......... .......... .......... .......... 57% 24.5M 0s 1900K .......... .......... .......... .......... .......... 59% 112M 0s 1950K .......... .......... .......... .......... .......... 60% 82.9M 0s 2000K .......... .......... .......... .......... .......... 62% 31.6M 0s 2050K .......... .......... .......... .......... .......... 63% 146M 0s 2100K .......... .......... .......... .......... .......... 65% 102M 0s 2150K .......... .......... .......... .......... .......... 66% 23.4M 0s 2200K .......... .......... .......... .......... .......... 68% 164M 0s 2250K .......... .......... .......... .......... .......... 69% 200M 0s 2300K .......... .......... .......... .......... .......... 71% 89.3M 0s 2350K .......... .......... .......... .......... .......... 72% 19.5M 0s 2400K .......... .......... .......... .......... .......... 74% 163M 0s 2450K .......... .......... .......... .......... .......... 75% 198M 0s 2500K .......... .......... .......... .......... .......... 77% 169M 0s 2550K .......... .......... .......... .......... .......... 79% 24.5M 0s 2600K .......... .......... .......... .......... .......... 80% 85.6M 0s 2650K .......... .......... .......... .......... .......... 82% 134M 0s 2700K .......... .......... .......... .......... .......... 83% 141M 0s 2750K .......... .......... .......... .......... .......... 85% 144M 0s 2800K .......... .......... .......... .......... .......... 86% 210M 0s 2850K .......... .......... .......... .......... .......... 88% 11.8M 0s 2900K .......... .......... .......... .......... .......... 89% 132M 0s 2950K .......... .......... .......... .......... .......... 91% 171M 0s 3000K .......... .......... .......... .......... .......... 92% 88.4M 0s 3050K .......... .......... .......... .......... .......... 94% 2.67M 0s 3100K .......... .......... .......... .......... .......... 95% 46.4M 0s 3150K .......... .......... .......... .......... .......... 97% 50.5M 0s 3200K .......... .......... .......... .......... .......... 98% 59.9M 0s 3250K .......... .......... .......... .......... 100% 73.3M=0.3s 2023-05-11 10:37:00 (9.40 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]