$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-192432-60809/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-192432-60809/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 8fb1db0 fix kernel $ 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 19:13:14-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 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: 3369733 (3.2M) [application/x-bzip2] Saving to: ‘anaconda-33.16.7.12.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 112M 0s 50K .......... .......... .......... .......... .......... 3% 432M 0s 100K .......... .......... .......... .......... .......... 4% 466M 0s 150K .......... .......... .......... .......... .......... 6% 395M 0s 200K .......... .......... .......... .......... .......... 7% 405M 0s 250K .......... .......... .......... .......... .......... 9% 468M 0s 300K .......... .......... .......... .......... .......... 10% 468M 0s 350K .......... .......... .......... .......... .......... 12% 423M 0s 400K .......... .......... .......... .......... .......... 13% 357M 0s 450K .......... .......... .......... .......... .......... 15% 439M 0s 500K .......... .......... .......... .......... .......... 16% 448M 0s 550K .......... .......... .......... .......... .......... 18% 465M 0s 600K .......... .......... .......... .......... .......... 19% 362M 0s 650K .......... .......... .......... .......... .......... 21% 445M 0s 700K .......... .......... .......... .......... .......... 22% 462M 0s 750K .......... .......... .......... .......... .......... 24% 445M 0s 800K .......... .......... .......... .......... .......... 25% 391M 0s 850K .......... .......... .......... .......... .......... 27% 463M 0s 900K .......... .......... .......... .......... .......... 28% 467M 0s 950K .......... .......... .......... .......... .......... 30% 477M 0s 1000K .......... .......... .......... .......... .......... 31% 414M 0s 1050K .......... .......... .......... .......... .......... 33% 398M 0s 1100K .......... .......... .......... .......... .......... 34% 449M 0s 1150K .......... .......... .......... .......... .......... 36% 468M 0s 1200K .......... .......... .......... .......... .......... 37% 388M 0s 1250K .......... .......... .......... .......... .......... 39% 435M 0s 1300K .......... .......... .......... .......... .......... 41% 458M 0s 1350K .......... .......... .......... .......... .......... 42% 459M 0s 1400K .......... .......... .......... .......... .......... 44% 393M 0s 1450K .......... .......... .......... .......... .......... 45% 466M 0s 1500K .......... .......... .......... .......... .......... 47% 403M 0s 1550K .......... .......... .......... .......... .......... 48% 447M 0s 1600K .......... .......... .......... .......... .......... 50% 405M 0s 1650K .......... .......... .......... .......... .......... 51% 435M 0s 1700K .......... .......... .......... .......... .......... 53% 428M 0s 1750K .......... .......... .......... .......... .......... 54% 471M 0s 1800K .......... .......... .......... .......... .......... 56% 412M 0s 1850K .......... .......... .......... .......... .......... 57% 476M 0s 1900K .......... .......... .......... .......... .......... 59% 474M 0s 1950K .......... .......... .......... .......... .......... 60% 422M 0s 2000K .......... .......... .......... .......... .......... 62% 404M 0s 2050K .......... .......... .......... .......... .......... 63% 483M 0s 2100K .......... .......... .......... .......... .......... 65% 458M 0s 2150K .......... .......... .......... .......... .......... 66% 445M 0s 2200K .......... .......... .......... .......... .......... 68% 412M 0s 2250K .......... .......... .......... .......... .......... 69% 475M 0s 2300K .......... .......... .......... .......... .......... 71% 478M 0s 2350K .......... .......... .......... .......... .......... 72% 464M 0s 2400K .......... .......... .......... .......... .......... 74% 367M 0s 2450K .......... .......... .......... .......... .......... 75% 471M 0s 2500K .......... .......... .......... .......... .......... 77% 483M 0s 2550K .......... .......... .......... .......... .......... 79% 470M 0s 2600K .......... .......... .......... .......... .......... 80% 388M 0s 2650K .......... .......... .......... .......... .......... 82% 459M 0s 2700K .......... .......... .......... .......... .......... 83% 451M 0s 2750K .......... .......... .......... .......... .......... 85% 442M 0s 2800K .......... .......... .......... .......... .......... 86% 403M 0s 2850K .......... .......... .......... .......... .......... 88% 400M 0s 2900K .......... .......... .......... .......... .......... 89% 462M 0s 2950K .......... .......... .......... .......... .......... 91% 459M 0s 3000K .......... .......... .......... .......... .......... 92% 395M 0s 3050K .......... .......... .......... .......... .......... 94% 422M 0s 3100K .......... .......... .......... .......... .......... 95% 446M 0s 3150K .......... .......... .......... .......... .......... 97% 455M 0s 3200K .......... .......... .......... .......... .......... 98% 396M 0s 3250K .......... .......... .......... .......... 100% 443M=0.008s 2023-01-04 19:13:14 (416 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]