$ git clone -n https://gitee.com/renbo02/anaconda.git /var/lib/mock/dist-an8.6-build-175425-58996/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-175425-58996/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 40f5e87 Fix some text describe $ 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 15:39:35-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.225, 8.141.190.231, 8.141.190.229, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.225|: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% 3.24M 1s 50K .......... .......... .......... .......... .......... 3% 6.50M 1s 100K .......... .......... .......... .......... .......... 4% 281M 0s 150K .......... .......... .......... .......... .......... 6% 416M 0s 200K .......... .......... .......... .......... .......... 7% 6.62M 0s 250K .......... .......... .......... .......... .......... 9% 413M 0s 300K .......... .......... .......... .......... .......... 10% 439M 0s 350K .......... .......... .......... .......... .......... 12% 471M 0s 400K .......... .......... .......... .......... .......... 13% 6.90M 0s 450K .......... .......... .......... .......... .......... 15% 252M 0s 500K .......... .......... .......... .......... .......... 16% 453M 0s 550K .......... .......... .......... .......... .......... 18% 448M 0s 600K .......... .......... .......... .......... .......... 19% 385M 0s 650K .......... .......... .......... .......... .......... 21% 429M 0s 700K .......... .......... .......... .......... .......... 22% 468M 0s 750K .......... .......... .......... .......... .......... 24% 469M 0s 800K .......... .......... .......... .......... .......... 25% 410M 0s 850K .......... .......... .......... .......... .......... 27% 7.24M 0s 900K .......... .......... .......... .......... .......... 28% 470M 0s 950K .......... .......... .......... .......... .......... 30% 166M 0s 1000K .......... .......... .......... .......... .......... 31% 236M 0s 1050K .......... .......... .......... .......... .......... 33% 453M 0s 1100K .......... .......... .......... .......... .......... 34% 255M 0s 1150K .......... .......... .......... .......... .......... 36% 380M 0s 1200K .......... .......... .......... .......... .......... 37% 441M 0s 1250K .......... .......... .......... .......... .......... 39% 472M 0s 1300K .......... .......... .......... .......... .......... 41% 474M 0s 1350K .......... .......... .......... .......... .......... 42% 7.24M 0s 1400K .......... .......... .......... .......... .......... 44% 360M 0s 1450K .......... .......... .......... .......... .......... 45% 423M 0s 1500K .......... .......... .......... .......... .......... 47% 397M 0s 1550K .......... .......... .......... .......... .......... 48% 423M 0s 1600K .......... .......... .......... .......... .......... 50% 349M 0s 1650K .......... .......... .......... .......... .......... 51% 415M 0s 1700K .......... .......... .......... .......... .......... 53% 405M 0s 1750K .......... .......... .......... .......... .......... 54% 428M 0s 1800K .......... .......... .......... .......... .......... 56% 376M 0s 1850K .......... .......... .......... .......... .......... 57% 6.83M 0s 1900K .......... .......... .......... .......... .......... 59% 385M 0s 1950K .......... .......... .......... .......... .......... 60% 389M 0s 2000K .......... .......... .......... .......... .......... 62% 350M 0s 2050K .......... .......... .......... .......... .......... 63% 383M 0s 2100K .......... .......... .......... .......... .......... 65% 412M 0s 2150K .......... .......... .......... .......... .......... 66% 414M 0s 2200K .......... .......... .......... .......... .......... 68% 390M 0s 2250K .......... .......... .......... .......... .......... 69% 443M 0s 2300K .......... .......... .......... .......... .......... 71% 391M 0s 2350K .......... .......... .......... .......... .......... 72% 5.25M 0s 2400K .......... .......... .......... .......... .......... 74% 402M 0s 2450K .......... .......... .......... .......... .......... 75% 382M 0s 2500K .......... .......... .......... .......... .......... 77% 406M 0s 2550K .......... .......... .......... .......... .......... 79% 359M 0s 2600K .......... .......... .......... .......... .......... 80% 381M 0s 2650K .......... .......... .......... .......... .......... 82% 413M 0s 2700K .......... .......... .......... .......... .......... 83% 406M 0s 2750K .......... .......... .......... .......... .......... 85% 385M 0s 2800K .......... .......... .......... .......... .......... 86% 432M 0s 2850K .......... .......... .......... .......... .......... 88% 7.14M 0s 2900K .......... .......... .......... .......... .......... 89% 385M 0s 2950K .......... .......... .......... .......... .......... 91% 395M 0s 3000K .......... .......... .......... .......... .......... 92% 345M 0s 3050K .......... .......... .......... .......... .......... 94% 404M 0s 3100K .......... .......... .......... .......... .......... 95% 428M 0s 3150K .......... .......... .......... .......... .......... 97% 399M 0s 3200K .......... .......... .......... .......... .......... 98% 380M 0s 3250K .......... .......... .......... .......... 100% 427M=0.08s 2022-12-06 15:39:36 (39.6 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]