$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-174819-58996/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-174819-58996/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 69cf743c4f76edc44d84dfbb72274453b8786e3c HEAD is now at 69cf743 0009-8 $ 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 09:23:19-- 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, 8.141.190.226, 8.141.190.224, ... 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% 3.04M 1s 50K .......... .......... .......... .......... .......... 3% 6.07M 1s 100K .......... .......... .......... .......... .......... 4% 110M 1s 150K .......... .......... .......... .......... .......... 6% 418M 0s 200K .......... .......... .......... .......... .......... 7% 6.18M 0s 250K .......... .......... .......... .......... .......... 9% 429M 0s 300K .......... .......... .......... .......... .......... 10% 267M 0s 350K .......... .......... .......... .......... .......... 12% 449M 0s 400K .......... .......... .......... .......... .......... 13% 6.70M 0s 450K .......... .......... .......... .......... .......... 15% 98.8M 0s 500K .......... .......... .......... .......... .......... 16% 385M 0s 550K .......... .......... .......... .......... .......... 18% 450M 0s 600K .......... .......... .......... .......... .......... 19% 443M 0s 650K .......... .......... .......... .......... .......... 21% 446M 0s 700K .......... .......... .......... .......... .......... 22% 399M 0s 750K .......... .......... .......... .......... .......... 24% 405M 0s 800K .......... .......... .......... .......... .......... 25% 463M 0s 850K .......... .......... .......... .......... .......... 27% 7.21M 0s 900K .......... .......... .......... .......... .......... 28% 91.0M 0s 950K .......... .......... .......... .......... .......... 30% 214M 0s 1000K .......... .......... .......... .......... .......... 31% 171M 0s 1050K .......... .......... .......... .......... .......... 33% 27.8M 0s 1100K .......... .......... .......... .......... .......... 34% 339M 0s 1150K .......... .......... .......... .......... .......... 36% 418M 0s 1200K .......... .......... .......... .......... .......... 37% 420M 0s 1250K .......... .......... .......... .......... .......... 39% 386M 0s 1300K .......... .......... .......... .......... .......... 41% 466M 0s 1350K .......... .......... .......... .......... .......... 42% 473M 0s 1400K .......... .......... .......... .......... .......... 44% 6.52M 0s 1450K .......... .......... .......... .......... .......... 45% 394M 0s 1500K .......... .......... .......... .......... .......... 47% 433M 0s 1550K .......... .......... .......... .......... .......... 48% 370M 0s 1600K .......... .......... .......... .......... .......... 50% 438M 0s 1650K .......... .......... .......... .......... .......... 51% 454M 0s 1700K .......... .......... .......... .......... .......... 53% 471M 0s 1750K .......... .......... .......... .......... .......... 54% 405M 0s 1800K .......... .......... .......... .......... .......... 56% 466M 0s 1850K .......... .......... .......... .......... .......... 57% 462M 0s 1900K .......... .......... .......... .......... .......... 59% 6.63M 0s 1950K .......... .......... .......... .......... .......... 60% 370M 0s 2000K .......... .......... .......... .......... .......... 62% 454M 0s 2050K .......... .......... .......... .......... .......... 63% 427M 0s 2100K .......... .......... .......... .......... .......... 65% 447M 0s 2150K .......... .......... .......... .......... .......... 66% 388M 0s 2200K .......... .......... .......... .......... .......... 68% 380M 0s 2250K .......... .......... .......... .......... .......... 69% 468M 0s 2300K .......... .......... .......... .......... .......... 71% 434M 0s 2350K .......... .......... .......... .......... .......... 72% 390M 0s 2400K .......... .......... .......... .......... .......... 74% 448M 0s 2450K .......... .......... .......... .......... .......... 75% 6.63M 0s 2500K .......... .......... .......... .......... .......... 77% 420M 0s 2550K .......... .......... .......... .......... .......... 79% 372M 0s 2600K .......... .......... .......... .......... .......... 80% 411M 0s 2650K .......... .......... .......... .......... .......... 82% 358M 0s 2700K .......... .......... .......... .......... .......... 83% 436M 0s 2750K .......... .......... .......... .......... .......... 85% 442M 0s 2800K .......... .......... .......... .......... .......... 86% 390M 0s 2850K .......... .......... .......... .......... .......... 88% 386M 0s 2900K .......... .......... .......... .......... .......... 89% 454M 0s 2950K .......... .......... .......... .......... .......... 91% 6.32M 0s 3000K .......... .......... .......... .......... .......... 92% 408M 0s 3050K .......... .......... .......... .......... .......... 94% 352M 0s 3100K .......... .......... .......... .......... .......... 95% 384M 0s 3150K .......... .......... .......... .......... .......... 97% 435M 0s 3200K .......... .......... .......... .......... .......... 98% 421M 0s 3250K .......... .......... .......... .......... 100% 430M=0.09s 2022-12-06 09:23:19 (37.5 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]