$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-162497-58660/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-162497-58660/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard f3980bd31652d46edef12e2569440f157f6d58b0 HEAD is now at f3980bd fix $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-11-16 11:19:44-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.224, 8.141.190.227, 8.141.190.230, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.224|: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% 2.82M 1s 50K .......... .......... .......... .......... .......... 3% 5.62M 1s 100K .......... .......... .......... .......... .......... 4% 226M 1s 150K .......... .......... .......... .......... .......... 6% 315M 0s 200K .......... .......... .......... .......... .......... 7% 5.73M 0s 250K .......... .......... .......... .......... .......... 9% 192M 0s 300K .......... .......... .......... .......... .......... 10% 384M 0s 350K .......... .......... .......... .......... .......... 12% 493M 0s 400K .......... .......... .......... .......... .......... 13% 6.01M 0s 450K .......... .......... .......... .......... .......... 15% 831K 1s 500K .......... .......... .......... .......... .......... 16% 130M 1s 550K .......... .......... .......... .......... .......... 18% 303M 0s 600K .......... .......... .......... .......... .......... 19% 462M 0s 650K .......... .......... .......... .......... .......... 21% 406M 0s 700K .......... .......... .......... .......... .......... 22% 473M 0s 750K .......... .......... .......... .......... .......... 24% 439M 0s 800K .......... .......... .......... .......... .......... 25% 477M 0s 850K .......... .......... .......... .......... .......... 27% 383M 0s 900K .......... .......... .......... .......... .......... 28% 6.42M 0s 950K .......... .......... .......... .......... .......... 30% 161M 0s 1000K .......... .......... .......... .......... .......... 31% 194M 0s 1050K .......... .......... .......... .......... .......... 33% 221M 0s 1100K .......... .......... .......... .......... .......... 34% 222M 0s 1150K .......... .......... .......... .......... .......... 36% 318M 0s 1200K .......... .......... .......... .......... .......... 37% 315M 0s 1250K .......... .......... .......... .......... .......... 39% 281M 0s 1300K .......... .......... .......... .......... .......... 41% 332M 0s 1350K .......... .......... .......... .......... .......... 42% 254M 0s 1400K .......... .......... .......... .......... .......... 44% 5.32M 0s 1450K .......... .......... .......... .......... .......... 45% 423M 0s 1500K .......... .......... .......... .......... .......... 47% 430M 0s 1550K .......... .......... .......... .......... .......... 48% 439M 0s 1600K .......... .......... .......... .......... .......... 50% 356M 0s 1650K .......... .......... .......... .......... .......... 51% 418M 0s 1700K .......... .......... .......... .......... .......... 53% 444M 0s 1750K .......... .......... .......... .......... .......... 54% 455M 0s 1800K .......... .......... .......... .......... .......... 56% 397M 0s 1850K .......... .......... .......... .......... .......... 57% 118M 0s 1900K .......... .......... .......... .......... .......... 59% 347M 0s 1950K .......... .......... .......... .......... .......... 60% 6.46M 0s 2000K .......... .......... .......... .......... .......... 62% 393M 0s 2050K .......... .......... .......... .......... .......... 63% 349M 0s 2100K .......... .......... .......... .......... .......... 65% 406M 0s 2150K .......... .......... .......... .......... .......... 66% 459M 0s 2200K .......... .......... .......... .......... .......... 68% 456M 0s 2250K .......... .......... .......... .......... .......... 69% 409M 0s 2300K .......... .......... .......... .......... .......... 71% 6.00M 0s 2350K .......... .......... .......... .......... .......... 72% 434M 0s 2400K .......... .......... .......... .......... .......... 74% 374M 0s 2450K .......... .......... .......... .......... .......... 75% 362M 0s 2500K .......... .......... .......... .......... .......... 77% 384M 0s 2550K .......... .......... .......... .......... .......... 79% 362M 0s 2600K .......... .......... .......... .......... .......... 80% 418M 0s 2650K .......... .......... .......... .......... .......... 82% 417M 0s 2700K .......... .......... .......... .......... .......... 83% 449M 0s 2750K .......... .......... .......... .......... .......... 85% 396M 0s 2800K .......... .......... .......... .......... .......... 86% 6.02M 0s 2850K .......... .......... .......... .......... .......... 88% 386M 0s 2900K .......... .......... .......... .......... .......... 89% 336M 0s 2950K .......... .......... .......... .......... .......... 91% 410M 0s 3000K .......... .......... .......... .......... .......... 92% 423M 0s 3050K .......... .......... .......... .......... .......... 94% 414M 0s 3100K .......... .......... .......... .......... .......... 95% 391M 0s 3150K .......... .......... .......... .......... .......... 97% 462M 0s 3200K .......... .......... .......... .......... .......... 98% 455M 0s 3250K .......... .......... .......... .......... 100% 417M=0.2s 2022-11-16 11:19:45 (21.2 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]