$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-162204-58626/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-162204-58626/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 96db65199e15708f232e4d696c0b84bf43223b72 HEAD is now at 96db651 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 --2022-11-15 15:43:10-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.228, 8.141.190.226, 8.141.190.225, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.228|: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% 2.91M 1s 50K .......... .......... .......... .......... .......... 3% 5.87M 1s 100K .......... .......... .......... .......... .......... 4% 230M 1s 150K .......... .......... .......... .......... .......... 6% 380M 0s 200K .......... .......... .......... .......... .......... 7% 5.93M 0s 250K .......... .......... .......... .......... .......... 9% 384M 0s 300K .......... .......... .......... .......... .......... 10% 437M 0s 350K .......... .......... .......... .......... .......... 12% 396M 0s 400K .......... .......... .......... .......... .......... 13% 6.11M 0s 450K .......... .......... .......... .......... .......... 15% 368M 0s 500K .......... .......... .......... .......... .......... 16% 397M 0s 550K .......... .......... .......... .......... .......... 18% 355M 0s 600K .......... .......... .......... .......... .......... 19% 416M 0s 650K .......... .......... .......... .......... .......... 21% 452M 0s 700K .......... .......... .......... .......... .......... 22% 451M 0s 750K .......... .......... .......... .......... .......... 24% 6.41M 0s 800K .......... .......... .......... .......... .......... 25% 342M 0s 850K .......... .......... .......... .......... .......... 27% 436M 0s 900K .......... .......... .......... .......... .......... 28% 432M 0s 950K .......... .......... .......... .......... .......... 30% 330M 0s 1000K .......... .......... .......... .......... .......... 31% 385M 0s 1050K .......... .......... .......... .......... .......... 33% 355M 0s 1100K .......... .......... .......... .......... .......... 34% 446M 0s 1150K .......... .......... .......... .......... .......... 36% 392M 0s 1200K .......... .......... .......... .......... .......... 37% 452M 0s 1250K .......... .......... .......... .......... .......... 39% 6.44M 0s 1300K .......... .......... .......... .......... .......... 41% 375M 0s 1350K .......... .......... .......... .......... .......... 42% 443M 0s 1400K .......... .......... .......... .......... .......... 44% 417M 0s 1450K .......... .......... .......... .......... .......... 45% 339M 0s 1500K .......... .......... .......... .......... .......... 47% 386M 0s 1550K .......... .......... .......... .......... .......... 48% 428M 0s 1600K .......... .......... .......... .......... .......... 50% 449M 0s 1650K .......... .......... .......... .......... .......... 51% 344M 0s 1700K .......... .......... .......... .......... .......... 53% 447M 0s 1750K .......... .......... .......... .......... .......... 54% 6.40M 0s 1800K .......... .......... .......... .......... .......... 56% 301M 0s 1850K .......... .......... .......... .......... .......... 57% 355M 0s 1900K .......... .......... .......... .......... .......... 59% 385M 0s 1950K .......... .......... .......... .......... .......... 60% 398M 0s 2000K .......... .......... .......... .......... .......... 62% 369M 0s 2050K .......... .......... .......... .......... .......... 63% 414M 0s 2100K .......... .......... .......... .......... .......... 65% 410M 0s 2150K .......... .......... .......... .......... .......... 66% 427M 0s 2200K .......... .......... .......... .......... .......... 68% 363M 0s 2250K .......... .......... .......... .......... .......... 69% 385M 0s 2300K .......... .......... .......... .......... .......... 71% 6.37M 0s 2350K .......... .......... .......... .......... .......... 72% 327M 0s 2400K .......... .......... .......... .......... .......... 74% 338M 0s 2450K .......... .......... .......... .......... .......... 75% 348M 0s 2500K .......... .......... .......... .......... .......... 77% 376M 0s 2550K .......... .......... .......... .......... .......... 79% 342M 0s 2600K .......... .......... .......... .......... .......... 80% 416M 0s 2650K .......... .......... .......... .......... .......... 82% 420M 0s 2700K .......... .......... .......... .......... .......... 83% 417M 0s 2750K .......... .......... .......... .......... .......... 85% 366M 0s 2800K .......... .......... .......... .......... .......... 86% 6.45M 0s 2850K .......... .......... .......... .......... .......... 88% 351M 0s 2900K .......... .......... .......... .......... .......... 89% 364M 0s 2950K .......... .......... .......... .......... .......... 91% 365M 0s 3000K .......... .......... .......... .......... .......... 92% 316M 0s 3050K .......... .......... .......... .......... .......... 94% 410M 0s 3100K .......... .......... .......... .......... .......... 95% 428M 0s 3150K .......... .......... .......... .......... .......... 97% 407M 0s 3200K .......... .......... .......... .......... .......... 98% 366M 0s 3250K .......... .......... .......... .......... 100% 416M=0.09s 2022-11-15 15:43:10 (37.1 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]