$ git clone -n https://gitee.com/src-anolis-os/anaconda.git /var/lib/mock/dist-an8.8-build-300131-65914/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.8-build-300131-65914/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 3b3b048 anaconda: fix multi variants error $ wget -O anaconda-33.16.8.9.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.8.9.tar.bz2.7d5daf2ca4f438f6d68082c0631c963a --2023-09-08 16:56:57-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.8.9.tar.bz2.7d5daf2ca4f438f6d68082c0631c963a 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: 3399040 (3.2M) [application/x-bzip2] Saving to: ‘anaconda-33.16.8.9.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 17.8M 0s 50K .......... .......... .......... .......... .......... 3% 34.7M 0s 100K .......... .......... .......... .......... .......... 4% 17.9M 0s 150K .......... .......... .......... .......... .......... 6% 36.2M 0s 200K .......... .......... .......... .......... .......... 7% 18.4M 0s 250K .......... .......... .......... .......... .......... 9% 35.0M 0s 300K .......... .......... .......... .......... .......... 10% 35.3M 0s 350K .......... .......... .......... .......... .......... 12% 35.9M 0s 400K .......... .......... .......... .......... .......... 13% 36.3M 0s 450K .......... .......... .......... .......... .......... 15% 35.9M 0s 500K .......... .......... .......... .......... .......... 16% 35.9M 0s 550K .......... .......... .......... .......... .......... 18% 35.9M 0s 600K .......... .......... .......... .......... .......... 19% 35.4M 0s 650K .......... .......... .......... .......... .......... 21% 37.8M 0s 700K .......... .......... .......... .......... .......... 22% 36.6M 0s 750K .......... .......... .......... .......... .......... 24% 37.4M 0s 800K .......... .......... .......... .......... .......... 25% 282M 0s 850K .......... .......... .......... .......... .......... 27% 38.8M 0s 900K .......... .......... .......... .......... .......... 28% 36.4M 0s 950K .......... .......... .......... .......... .......... 30% 372M 0s 1000K .......... .......... .......... .......... .......... 31% 38.0M 0s 1050K .......... .......... .......... .......... .......... 33% 38.1M 0s 1100K .......... .......... .......... .......... .......... 34% 296M 0s 1150K .......... .......... .......... .......... .......... 36% 36.9M 0s 1200K .......... .......... .......... .......... .......... 37% 714M 0s 1250K .......... .......... .......... .......... .......... 39% 36.0M 0s 1300K .......... .......... .......... .......... .......... 40% 37.8M 0s 1350K .......... .......... .......... .......... .......... 42% 595M 0s 1400K .......... .......... .......... .......... .......... 43% 37.2M 0s 1450K .......... .......... .......... .......... .......... 45% 656M 0s 1500K .......... .......... .......... .......... .......... 46% 37.5M 0s 1550K .......... .......... .......... .......... .......... 48% 732M 0s 1600K .......... .......... .......... .......... .......... 49% 38.5M 0s 1650K .......... .......... .......... .......... .......... 51% 623M 0s 1700K .......... .......... .......... .......... .......... 52% 39.3M 0s 1750K .......... .......... .......... .......... .......... 54% 262M 0s 1800K .......... .......... .......... .......... .......... 55% 727M 0s 1850K .......... .......... .......... .......... .......... 57% 40.4M 0s 1900K .......... .......... .......... .......... .......... 58% 493M 0s 1950K .......... .......... .......... .......... .......... 60% 37.8M 0s 2000K .......... .......... .......... .......... .......... 61% 377M 0s 2050K .......... .......... .......... .......... .......... 63% 604M 0s 2100K .......... .......... .......... .......... .......... 64% 40.9M 0s 2150K .......... .......... .......... .......... .......... 66% 657M 0s 2200K .......... .......... .......... .......... .......... 67% 39.3M 0s 2250K .......... .......... .......... .......... .......... 69% 678M 0s 2300K .......... .......... .......... .......... .......... 70% 712M 0s 2350K .......... .......... .......... .......... .......... 72% 39.4M 0s 2400K .......... .......... .......... .......... .......... 73% 582M 0s 2450K .......... .......... .......... .......... .......... 75% 749M 0s 2500K .......... .......... .......... .......... .......... 76% 40.3M 0s 2550K .......... .......... .......... .......... .......... 78% 617M 0s 2600K .......... .......... .......... .......... .......... 79% 745M 0s 2650K .......... .......... .......... .......... .......... 81% 39.5M 0s 2700K .......... .......... .......... .......... .......... 82% 686M 0s 2750K .......... .......... .......... .......... .......... 84% 636M 0s 2800K .......... .......... .......... .......... .......... 85% 39.9M 0s 2850K .......... .......... .......... .......... .......... 87% 649M 0s 2900K .......... .......... .......... .......... .......... 88% 762M 0s 2950K .......... .......... .......... .......... .......... 90% 634M 0s 3000K .......... .......... .......... .......... .......... 91% 39.6M 0s 3050K .......... .......... .......... .......... .......... 93% 705M 0s 3100K .......... .......... .......... .......... .......... 94% 662M 0s 3150K .......... .......... .......... .......... .......... 96% 41.1M 0s 3200K .......... .......... .......... .......... .......... 97% 710M 0s 3250K .......... .......... .......... .......... .......... 99% 685M 0s 3300K .......... ......... 100% 566M=0.05s 2023-09-08 16:56:57 (59.1 MB/s) - ‘anaconda-33.16.8.9.tar.bz2’ saved [3399040/3399040]