$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.7-build-171624-58947/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-171624-58947/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 9d4438b edit 0003 patch $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-11-30 14:25:19-- 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, 8.141.190.228, 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% 3.11M 1s 50K .......... .......... .......... .......... .......... 3% 6.24M 1s 100K .......... .......... .......... .......... .......... 4% 260M 0s 150K .......... .......... .......... .......... .......... 6% 274M 0s 200K .......... .......... .......... .......... .......... 7% 6.45M 0s 250K .......... .......... .......... .......... .......... 9% 290M 0s 300K .......... .......... .......... .......... .......... 10% 403M 0s 350K .......... .......... .......... .......... .......... 12% 370M 0s 400K .......... .......... .......... .......... .......... 13% 6.76M 0s 450K .......... .......... .......... .......... .......... 15% 237M 0s 500K .......... .......... .......... .......... .......... 16% 391M 0s 550K .......... .......... .......... .......... .......... 18% 351M 0s 600K .......... .......... .......... .......... .......... 19% 402M 0s 650K .......... .......... .......... .......... .......... 21% 378M 0s 700K .......... .......... .......... .......... .......... 22% 102M 0s 750K .......... .......... .......... .......... .......... 24% 351M 0s 800K .......... .......... .......... .......... .......... 25% 366M 0s 850K .......... .......... .......... .......... .......... 27% 7.58M 0s 900K .......... .......... .......... .......... .......... 28% 380M 0s 950K .......... .......... .......... .......... .......... 30% 72.4M 0s 1000K .......... .......... .......... .......... .......... 31% 316M 0s 1050K .......... .......... .......... .......... .......... 33% 383M 0s 1100K .......... .......... .......... .......... .......... 34% 340M 0s 1150K .......... .......... .......... .......... .......... 36% 306M 0s 1200K .......... .......... .......... .......... .......... 37% 404M 0s 1250K .......... .......... .......... .......... .......... 39% 6.76M 0s 1300K .......... .......... .......... .......... .......... 41% 216M 0s 1350K .......... .......... .......... .......... .......... 42% 234M 0s 1400K .......... .......... .......... .......... .......... 44% 266M 0s 1450K .......... .......... .......... .......... .......... 45% 395M 0s 1500K .......... .......... .......... .......... .......... 47% 457M 0s 1550K .......... .......... .......... .......... .......... 48% 435M 0s 1600K .......... .......... .......... .......... .......... 50% 417M 0s 1650K .......... .......... .......... .......... .......... 51% 398M 0s 1700K .......... .......... .......... .......... .......... 53% 470M 0s 1750K .......... .......... .......... .......... .......... 54% 6.18M 0s 1800K .......... .......... .......... .......... .......... 56% 460M 0s 1850K .......... .......... .......... .......... .......... 57% 185M 0s 1900K .......... .......... .......... .......... .......... 59% 305M 0s 1950K .......... .......... .......... .......... .......... 60% 303M 0s 2000K .......... .......... .......... .......... .......... 62% 246M 0s 2050K .......... .......... .......... .......... .......... 63% 260M 0s 2100K .......... .......... .......... .......... .......... 65% 463M 0s 2150K .......... .......... .......... .......... .......... 66% 471M 0s 2200K .......... .......... .......... .......... .......... 68% 475M 0s 2250K .......... .......... .......... .......... .......... 69% 6.11M 0s 2300K .......... .......... .......... .......... .......... 71% 169M 0s 2350K .......... .......... .......... .......... .......... 72% 465M 0s 2400K .......... .......... .......... .......... .......... 74% 71.1M 0s 2450K .......... .......... .......... .......... .......... 75% 261M 0s 2500K .......... .......... .......... .......... .......... 77% 180M 0s 2550K .......... .......... .......... .......... .......... 79% 322M 0s 2600K .......... .......... .......... .......... .......... 80% 466M 0s 2650K .......... .......... .......... .......... .......... 82% 480M 0s 2700K .......... .......... .......... .......... .......... 83% 405M 0s 2750K .......... .......... .......... .......... .......... 85% 473M 0s 2800K .......... .......... .......... .......... .......... 86% 5.94M 0s 2850K .......... .......... .......... .......... .......... 88% 207M 0s 2900K .......... .......... .......... .......... .......... 89% 232M 0s 2950K .......... .......... .......... .......... .......... 91% 284M 0s 3000K .......... .......... .......... .......... .......... 92% 462M 0s 3050K .......... .......... .......... .......... .......... 94% 407M 0s 3100K .......... .......... .......... .......... .......... 95% 446M 0s 3150K .......... .......... .......... .......... .......... 97% 469M 0s 3200K .......... .......... .......... .......... .......... 98% 423M 0s 3250K .......... .......... .......... .......... 100% 393M=0.09s 2022-11-30 14:25:19 (37.4 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]