$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-174734-58996/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-174734-58996/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 40a3f32f96f2d202073e5efdb95f5deba9c18d66 HEAD is now at 40a3f32 0004-1 $ 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 00:24:46-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.227, 8.141.190.229, 8.141.190.231, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.227|: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% 6.60M 1s 100K .......... .......... .......... .......... .......... 4% 181M 0s 150K .......... .......... .......... .......... .......... 6% 409M 0s 200K .......... .......... .......... .......... .......... 7% 6.65M 0s 250K .......... .......... .......... .......... .......... 9% 309M 0s 300K .......... .......... .......... .......... .......... 10% 403M 0s 350K .......... .......... .......... .......... .......... 12% 387M 0s 400K .......... .......... .......... .......... .......... 13% 7.07M 0s 450K .......... .......... .......... .......... .......... 15% 181M 0s 500K .......... .......... .......... .......... .......... 16% 374M 0s 550K .......... .......... .......... .......... .......... 18% 334M 0s 600K .......... .......... .......... .......... .......... 19% 410M 0s 650K .......... .......... .......... .......... .......... 21% 424M 0s 700K .......... .......... .......... .......... .......... 22% 301M 0s 750K .......... .......... .......... .......... .......... 24% 359M 0s 800K .......... .......... .......... .......... .......... 25% 183M 0s 850K .......... .......... .......... .......... .......... 27% 7.71M 0s 900K .......... .......... .......... .......... .......... 28% 369M 0s 950K .......... .......... .......... .......... .......... 30% 47.1M 0s 1000K .......... .......... .......... .......... .......... 31% 211M 0s 1050K .......... .......... .......... .......... .......... 33% 373M 0s 1100K .......... .......... .......... .......... .......... 34% 389M 0s 1150K .......... .......... .......... .......... .......... 36% 139M 0s 1200K .......... .......... .......... .......... .......... 37% 290M 0s 1250K .......... .......... .......... .......... .......... 39% 383M 0s 1300K .......... .......... .......... .......... .......... 41% 392M 0s 1350K .......... .......... .......... .......... .......... 42% 417M 0s 1400K .......... .......... .......... .......... .......... 44% 7.42M 0s 1450K .......... .......... .......... .......... .......... 45% 341M 0s 1500K .......... .......... .......... .......... .......... 47% 354M 0s 1550K .......... .......... .......... .......... .......... 48% 412M 0s 1600K .......... .......... .......... .......... .......... 50% 360M 0s 1650K .......... .......... .......... .......... .......... 51% 203M 0s 1700K .......... .......... .......... .......... .......... 53% 311M 0s 1750K .......... .......... .......... .......... .......... 54% 294M 0s 1800K .......... .......... .......... .......... .......... 56% 418M 0s 1850K .......... .......... .......... .......... .......... 57% 424M 0s 1900K .......... .......... .......... .......... .......... 59% 7.55M 0s 1950K .......... .......... .......... .......... .......... 60% 346M 0s 2000K .......... .......... .......... .......... .......... 62% 328M 0s 2050K .......... .......... .......... .......... .......... 63% 332M 0s 2100K .......... .......... .......... .......... .......... 65% 421M 0s 2150K .......... .......... .......... .......... .......... 66% 411M 0s 2200K .......... .......... .......... .......... .......... 68% 185M 0s 2250K .......... .......... .......... .......... .......... 69% 371M 0s 2300K .......... .......... .......... .......... .......... 71% 375M 0s 2350K .......... .......... .......... .......... .......... 72% 371M 0s 2400K .......... .......... .......... .......... .......... 74% 6.40M 0s 2450K .......... .......... .......... .......... .......... 75% 318M 0s 2500K .......... .......... .......... .......... .......... 77% 337M 0s 2550K .......... .......... .......... .......... .......... 79% 373M 0s 2600K .......... .......... .......... .......... .......... 80% 380M 0s 2650K .......... .......... .......... .......... .......... 82% 360M 0s 2700K .......... .......... .......... .......... .......... 83% 410M 0s 2750K .......... .......... .......... .......... .......... 85% 417M 0s 2800K .......... .......... .......... .......... .......... 86% 410M 0s 2850K .......... .......... .......... .......... .......... 88% 367M 0s 2900K .......... .......... .......... .......... .......... 89% 362M 0s 2950K .......... .......... .......... .......... .......... 91% 7.44M 0s 3000K .......... .......... .......... .......... .......... 92% 374M 0s 3050K .......... .......... .......... .......... .......... 94% 266M 0s 3100K .......... .......... .......... .......... .......... 95% 325M 0s 3150K .......... .......... .......... .......... .......... 97% 408M 0s 3200K .......... .......... .......... .......... .......... 98% 376M 0s 3250K .......... .......... .......... .......... 100% 410M=0.08s 2022-12-06 00:24:47 (40.3 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]