$ git clone -n https://gitee.com/renbo02/anaconda.git /var/lib/mock/dist-an8.7-build-192286-60800/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-192286-60800/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at be88545 update kernel selection description $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2023-01-04 15:32:08-- 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, 8.141.190.227, 8.141.190.231, ... 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% 3.19M 1s 50K .......... .......... .......... .......... .......... 3% 6.39M 1s 100K .......... .......... .......... .......... .......... 4% 211M 0s 150K .......... .......... .......... .......... .......... 6% 470M 0s 200K .......... .......... .......... .......... .......... 7% 6.50M 0s 250K .......... .......... .......... .......... .......... 9% 264M 0s 300K .......... .......... .......... .......... .......... 10% 483M 0s 350K .......... .......... .......... .......... .......... 12% 6.64M 0s 400K .......... .......... .......... .......... .......... 13% 400M 0s 450K .......... .......... .......... .......... .......... 15% 246M 0s 500K .......... .......... .......... .......... .......... 16% 135M 0s 550K .......... .......... .......... .......... .......... 18% 396M 0s 600K .......... .......... .......... .......... .......... 19% 485M 0s 650K .......... .......... .......... .......... .......... 21% 493M 0s 700K .......... .......... .......... .......... .......... 22% 7.28M 0s 750K .......... .......... .......... .......... .......... 24% 293M 0s 800K .......... .......... .......... .......... .......... 25% 421M 0s 850K .......... .......... .......... .......... .......... 27% 225M 0s 900K .......... .......... .......... .......... .......... 28% 304M 0s 950K .......... .......... .......... .......... .......... 30% 306M 0s 1000K .......... .......... .......... .......... .......... 31% 315M 0s 1050K .......... .......... .......... .......... .......... 33% 268M 0s 1100K .......... .......... .......... .......... .......... 34% 399M 0s 1150K .......... .......... .......... .......... .......... 36% 481M 0s 1200K .......... .......... .......... .......... .......... 37% 418M 0s 1250K .......... .......... .......... .......... .......... 39% 6.62M 0s 1300K .......... .......... .......... .......... .......... 41% 497M 0s 1350K .......... .......... .......... .......... .......... 42% 246M 0s 1400K .......... .......... .......... .......... .......... 44% 275M 0s 1450K .......... .......... .......... .......... .......... 45% 333M 0s 1500K .......... .......... .......... .......... .......... 47% 378M 0s 1550K .......... .......... .......... .......... .......... 48% 331M 0s 1600K .......... .......... .......... .......... .......... 50% 167M 0s 1650K .......... .......... .......... .......... .......... 51% 301M 0s 1700K .......... .......... .......... .......... .......... 53% 327M 0s 1750K .......... .......... .......... .......... .......... 54% 7.35M 0s 1800K .......... .......... .......... .......... .......... 56% 184M 0s 1850K .......... .......... .......... .......... .......... 57% 318M 0s 1900K .......... .......... .......... .......... .......... 59% 342M 0s 1950K .......... .......... .......... .......... .......... 60% 268M 0s 2000K .......... .......... .......... .......... .......... 62% 279M 0s 2050K .......... .......... .......... .......... .......... 63% 383M 0s 2100K .......... .......... .......... .......... .......... 65% 308M 0s 2150K .......... .......... .......... .......... .......... 66% 463M 0s 2200K .......... .......... .......... .......... .......... 68% 404M 0s 2250K .......... .......... .......... .......... .......... 69% 464M 0s 2300K .......... .......... .......... .......... .......... 71% 6.95M 0s 2350K .......... .......... .......... .......... .......... 72% 384M 0s 2400K .......... .......... .......... .......... .......... 74% 224M 0s 2450K .......... .......... .......... .......... .......... 75% 264M 0s 2500K .......... .......... .......... .......... .......... 77% 249M 0s 2550K .......... .......... .......... .......... .......... 79% 444M 0s 2600K .......... .......... .......... .......... .......... 80% 460M 0s 2650K .......... .......... .......... .......... .......... 82% 415M 0s 2700K .......... .......... .......... .......... .......... 83% 373M 0s 2750K .......... .......... .......... .......... .......... 85% 417M 0s 2800K .......... .......... .......... .......... .......... 86% 457M 0s 2850K .......... .......... .......... .......... .......... 88% 7.08M 0s 2900K .......... .......... .......... .......... .......... 89% 209M 0s 2950K .......... .......... .......... .......... .......... 91% 311M 0s 3000K .......... .......... .......... .......... .......... 92% 457M 0s 3050K .......... .......... .......... .......... .......... 94% 452M 0s 3100K .......... .......... .......... .......... .......... 95% 405M 0s 3150K .......... .......... .......... .......... .......... 97% 412M 0s 3200K .......... .......... .......... .......... .......... 98% 430M 0s 3250K .......... .......... .......... .......... 100% 436M=0.08s 2023-01-04 15:32:08 (39.6 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]