$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-174809-58996/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-174809-58996/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 2dc5e12e7487324b8336add22718ef8e3985e79d HEAD is now at 2dc5e12 0009-7 $ 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 09:12:04-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.228, 8.141.190.231, 8.141.190.226, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.228|: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% 3.27M 1s 50K .......... .......... .......... .......... .......... 3% 6.53M 1s 100K .......... .......... .......... .......... .......... 4% 275M 0s 150K .......... .......... .......... .......... .......... 6% 369M 0s 200K .......... .......... .......... .......... .......... 7% 6.67M 0s 250K .......... .......... .......... .......... .......... 9% 449M 0s 300K .......... .......... .......... .......... .......... 10% 712M 0s 350K .......... .......... .......... .......... .......... 12% 6.75M 0s 400K .......... .......... .......... .......... .......... 13% 674M 0s 450K .......... .......... .......... .......... .......... 15% 596M 0s 500K .......... .......... .......... .......... .......... 16% 581M 0s 550K .......... .......... .......... .......... .......... 18% 563M 0s 600K .......... .......... .......... .......... .......... 19% 740M 0s 650K .......... .......... .......... .......... .......... 21% 684M 0s 700K .......... .......... .......... .......... .......... 22% 6.95M 0s 750K .......... .......... .......... .......... .......... 24% 340M 0s 800K .......... .......... .......... .......... .......... 25% 679M 0s 850K .......... .......... .......... .......... .......... 27% 617M 0s 900K .......... .......... .......... .......... .......... 28% 337M 0s 950K .......... .......... .......... .......... .......... 30% 498M 0s 1000K .......... .......... .......... .......... .......... 31% 618M 0s 1050K .......... .......... .......... .......... .......... 33% 187M 0s 1100K .......... .......... .......... .......... .......... 34% 338M 0s 1150K .......... .......... .......... .......... .......... 36% 325M 0s 1200K .......... .......... .......... .......... .......... 37% 6.86M 0s 1250K .......... .......... .......... .......... .......... 39% 329M 0s 1300K .......... .......... .......... .......... .......... 41% 336M 0s 1350K .......... .......... .......... .......... .......... 42% 634M 0s 1400K .......... .......... .......... .......... .......... 44% 648M 0s 1450K .......... .......... .......... .......... .......... 45% 680M 0s 1500K .......... .......... .......... .......... .......... 47% 556M 0s 1550K .......... .......... .......... .......... .......... 48% 636M 0s 1600K .......... .......... .......... .......... .......... 50% 566M 0s 1650K .......... .......... .......... .......... .......... 51% 580M 0s 1700K .......... .......... .......... .......... .......... 53% 606M 0s 1750K .......... .......... .......... .......... .......... 54% 6.98M 0s 1800K .......... .......... .......... .......... .......... 56% 355M 0s 1850K .......... .......... .......... .......... .......... 57% 673M 0s 1900K .......... .......... .......... .......... .......... 59% 731M 0s 1950K .......... .......... .......... .......... .......... 60% 360M 0s 2000K .......... .......... .......... .......... .......... 62% 644M 0s 2050K .......... .......... .......... .......... .......... 63% 695M 0s 2100K .......... .......... .......... .......... .......... 65% 384M 0s 2150K .......... .......... .......... .......... .......... 66% 489M 0s 2200K .......... .......... .......... .......... .......... 68% 528M 0s 2250K .......... .......... .......... .......... .......... 69% 5.13M 0s 2300K .......... .......... .......... .......... .......... 71% 331M 0s 2350K .......... .......... .......... .......... .......... 72% 585M 0s 2400K .......... .......... .......... .......... .......... 74% 589M 0s 2450K .......... .......... .......... .......... .......... 75% 502M 0s 2500K .......... .......... .......... .......... .......... 77% 591M 0s 2550K .......... .......... .......... .......... .......... 79% 655M 0s 2600K .......... .......... .......... .......... .......... 80% 673M 0s 2650K .......... .......... .......... .......... .......... 82% 620M 0s 2700K .......... .......... .......... .......... .......... 83% 748M 0s 2750K .......... .......... .......... .......... .......... 85% 730M 0s 2800K .......... .......... .......... .......... .......... 86% 6.94M 0s 2850K .......... .......... .......... .......... .......... 88% 475M 0s 2900K .......... .......... .......... .......... .......... 89% 645M 0s 2950K .......... .......... .......... .......... .......... 91% 669M 0s 3000K .......... .......... .......... .......... .......... 92% 519M 0s 3050K .......... .......... .......... .......... .......... 94% 626M 0s 3100K .......... .......... .......... .......... .......... 95% 616M 0s 3150K .......... .......... .......... .......... .......... 97% 617M 0s 3200K .......... .......... .......... .......... .......... 98% 620M 0s 3250K .......... .......... .......... .......... 100% 704M=0.08s 2022-12-06 09:12:04 (40.1 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]