$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-174758-58996/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-174758-58996/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard c6603f17ca31850937c45e8164c78460ee99e2df HEAD is now at c6603f1 0009-2 $ 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 02:11:09-- 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, 8.141.190.226, 8.141.190.228, ... 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% 2.95M 1s 50K .......... .......... .......... .......... .......... 3% 5.92M 1s 100K .......... .......... .......... .......... .......... 4% 312M 1s 150K .......... .......... .......... .......... .......... 6% 397M 0s 200K .......... .......... .......... .......... .......... 7% 6.02M 0s 250K .......... .......... .......... .......... .......... 9% 412M 0s 300K .......... .......... .......... .......... .......... 10% 449M 0s 350K .......... .......... .......... .......... .......... 12% 478M 0s 400K .......... .......... .......... .......... .......... 13% 6.14M 0s 450K .......... .......... .......... .......... .......... 15% 387M 0s 500K .......... .......... .......... .......... .......... 16% 453M 0s 550K .......... .......... .......... .......... .......... 18% 457M 0s 600K .......... .......... .......... .......... .......... 19% 414M 0s 650K .......... .......... .......... .......... .......... 21% 358M 0s 700K .......... .......... .......... .......... .......... 22% 450M 0s 750K .......... .......... .......... .......... .......... 24% 430M 0s 800K .......... .......... .......... .......... .......... 25% 468M 0s 850K .......... .......... .......... .......... .......... 27% 6.61M 0s 900K .......... .......... .......... .......... .......... 28% 400M 0s 950K .......... .......... .......... .......... .......... 30% 213M 0s 1000K .......... .......... .......... .......... .......... 31% 368M 0s 1050K .......... .......... .......... .......... .......... 33% 445M 0s 1100K .......... .......... .......... .......... .......... 34% 470M 0s 1150K .......... .......... .......... .......... .......... 36% 370M 0s 1200K .......... .......... .......... .......... .......... 37% 461M 0s 1250K .......... .......... .......... .......... .......... 39% 469M 0s 1300K .......... .......... .......... .......... .......... 41% 454M 0s 1350K .......... .......... .......... .......... .......... 42% 351M 0s 1400K .......... .......... .......... .......... .......... 44% 6.40M 0s 1450K .......... .......... .......... .......... .......... 45% 427M 0s 1500K .......... .......... .......... .......... .......... 47% 437M 0s 1550K .......... .......... .......... .......... .......... 48% 358M 0s 1600K .......... .......... .......... .......... .......... 50% 444M 0s 1650K .......... .......... .......... .......... .......... 51% 411M 0s 1700K .......... .......... .......... .......... .......... 53% 447M 0s 1750K .......... .......... .......... .......... .......... 54% 396M 0s 1800K .......... .......... .......... .......... .......... 56% 437M 0s 1850K .......... .......... .......... .......... .......... 57% 442M 0s 1900K .......... .......... .......... .......... .......... 59% 437M 0s 1950K .......... .......... .......... .......... .......... 60% 6.42M 0s 2000K .......... .......... .......... .......... .......... 62% 421M 0s 2050K .......... .......... .......... .......... .......... 63% 416M 0s 2100K .......... .......... .......... .......... .......... 65% 446M 0s 2150K .......... .......... .......... .......... .......... 66% 350M 0s 2200K .......... .......... .......... .......... .......... 68% 396M 0s 2250K .......... .......... .......... .......... .......... 69% 418M 0s 2300K .......... .......... .......... .......... .......... 71% 399M 0s 2350K .......... .......... .......... .......... .......... 72% 370M 0s 2400K .......... .......... .......... .......... .......... 74% 441M 0s 2450K .......... .......... .......... .......... .......... 75% 451M 0s 2500K .......... .......... .......... .......... .......... 77% 6.42M 0s 2550K .......... .......... .......... .......... .......... 79% 348M 0s 2600K .......... .......... .......... .......... .......... 80% 416M 0s 2650K .......... .......... .......... .......... .......... 82% 413M 0s 2700K .......... .......... .......... .......... .......... 83% 416M 0s 2750K .......... .......... .......... .......... .......... 85% 378M 0s 2800K .......... .......... .......... .......... .......... 86% 452M 0s 2850K .......... .......... .......... .......... .......... 88% 418M 0s 2900K .......... .......... .......... .......... .......... 89% 433M 0s 2950K .......... .......... .......... .......... .......... 91% 393M 0s 3000K .......... .......... .......... .......... .......... 92% 6.55M 0s 3050K .......... .......... .......... .......... .......... 94% 414M 0s 3100K .......... .......... .......... .......... .......... 95% 384M 0s 3150K .......... .......... .......... .......... .......... 97% 344M 0s 3200K .......... .......... .......... .......... .......... 98% 417M 0s 3250K .......... .......... .......... .......... 100% 433M=0.09s 2022-12-06 02:11:09 (37.6 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]