$ git clone -n https://gitee.com/xzyang-anolis/anaconda.git /var/lib/mock/dist-an8.6-build-220553-62132/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-220553-62132/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 094968baa79dfaae76525a4dc56962e73ff78dce HEAD is now at 094968b set default Language to zh_CN on text mode $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2023-02-20 18:11:19-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 172.16.0.137 Connecting to build.openanolis.cn (build.openanolis.cn)|172.16.0.137|: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% 151M 0s 50K .......... .......... .......... .......... .......... 3% 303M 0s 100K .......... .......... .......... .......... .......... 4% 180M 0s 150K .......... .......... .......... .......... .......... 6% 247M 0s 200K .......... .......... .......... .......... .......... 7% 361M 0s 250K .......... .......... .......... .......... .......... 9% 304M 0s 300K .......... .......... .......... .......... .......... 10% 298M 0s 350K .......... .......... .......... .......... .......... 12% 328M 0s 400K .......... .......... .......... .......... .......... 13% 399M 0s 450K .......... .......... .......... .......... .......... 15% 292M 0s 500K .......... .......... .......... .......... .......... 16% 447M 0s 550K .......... .......... .......... .......... .......... 18% 339M 0s 600K .......... .......... .......... .......... .......... 19% 370M 0s 650K .......... .......... .......... .......... .......... 21% 480M 0s 700K .......... .......... .......... .......... .......... 22% 370M 0s 750K .......... .......... .......... .......... .......... 24% 529M 0s 800K .......... .......... .......... .......... .......... 25% 397M 0s 850K .......... .......... .......... .......... .......... 27% 382M 0s 900K .......... .......... .......... .......... .......... 28% 576M 0s 950K .......... .......... .......... .......... .......... 30% 558M 0s 1000K .......... .......... .......... .......... .......... 31% 477M 0s 1050K .......... .......... .......... .......... .......... 33% 640M 0s 1100K .......... .......... .......... .......... .......... 34% 422M 0s 1150K .......... .......... .......... .......... .......... 36% 567M 0s 1200K .......... .......... .......... .......... .......... 37% 443M 0s 1250K .......... .......... .......... .......... .......... 39% 518M 0s 1300K .......... .......... .......... .......... .......... 41% 687M 0s 1350K .......... .......... .......... .......... .......... 42% 514M 0s 1400K .......... .......... .......... .......... .......... 44% 606M 0s 1450K .......... .......... .......... .......... .......... 45% 598M 0s 1500K .......... .......... .......... .......... .......... 47% 530M 0s 1550K .......... .......... .......... .......... .......... 48% 654M 0s 1600K .......... .......... .......... .......... .......... 50% 395M 0s 1650K .......... .......... .......... .......... .......... 51% 648M 0s 1700K .......... .......... .......... .......... .......... 53% 660M 0s 1750K .......... .......... .......... .......... .......... 54% 684M 0s 1800K .......... .......... .......... .......... .......... 56% 568M 0s 1850K .......... .......... .......... .......... .......... 57% 584M 0s 1900K .......... .......... .......... .......... .......... 59% 602M 0s 1950K .......... .......... .......... .......... .......... 60% 667M 0s 2000K .......... .......... .......... .......... .......... 62% 583M 0s 2050K .......... .......... .......... .......... .......... 63% 623M 0s 2100K .......... .......... .......... .......... .......... 65% 635M 0s 2150K .......... .......... .......... .......... .......... 66% 563M 0s 2200K .......... .......... .......... .......... .......... 68% 586M 0s 2250K .......... .......... .......... .......... .......... 69% 585M 0s 2300K .......... .......... .......... .......... .......... 71% 704M 0s 2350K .......... .......... .......... .......... .......... 72% 668M 0s 2400K .......... .......... .......... .......... .......... 74% 550M 0s 2450K .......... .......... .......... .......... .......... 75% 702M 0s 2500K .......... .......... .......... .......... .......... 77% 648M 0s 2550K .......... .......... .......... .......... .......... 79% 604M 0s 2600K .......... .......... .......... .......... .......... 80% 553M 0s 2650K .......... .......... .......... .......... .......... 82% 601M 0s 2700K .......... .......... .......... .......... .......... 83% 650M 0s 2750K .......... .......... .......... .......... .......... 85% 644M 0s 2800K .......... .......... .......... .......... .......... 86% 523M 0s 2850K .......... .......... .......... .......... .......... 88% 600M 0s 2900K .......... .......... .......... .......... .......... 89% 621M 0s 2950K .......... .......... .......... .......... .......... 91% 632M 0s 3000K .......... .......... .......... .......... .......... 92% 571M 0s 3050K .......... .......... .......... .......... .......... 94% 665M 0s 3100K .......... .......... .......... .......... .......... 95% 662M 0s 3150K .......... .......... .......... .......... .......... 97% 680M 0s 3200K .......... .......... .......... .......... .......... 98% 583M 0s 3250K .......... .......... .......... .......... 100% 657M=0.007s 2023-02-20 18:11:19 (474 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]