$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-192420-60809/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-192420-60809/root/chroot_tmpdir/scmroot/anaconda'... $ git fetch origin 6bc6193ed221a9340dff184fd7d21a81d3aeae22:KOJI_FETCH_HEAD From https://gitee.com/gcdota930915/anaconda * [new ref] 6bc6193ed221a9340dff184fd7d21a81d3aeae22 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at 6bc6193 fix kernel $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2023-01-04 18:58:24-- 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% 194M 0s 50K .......... .......... .......... .......... .......... 3% 330M 0s 100K .......... .......... .......... .......... .......... 4% 513M 0s 150K .......... .......... .......... .......... .......... 6% 547M 0s 200K .......... .......... .......... .......... .......... 7% 591M 0s 250K .......... .......... .......... .......... .......... 9% 1.33M 0s 300K .......... .......... .......... .......... .......... 10% 678M 0s 350K .......... .......... .......... .......... .......... 12% 595M 0s 400K .......... .......... .......... .......... .......... 13% 674M 0s 450K .......... .......... .......... .......... .......... 15% 541M 0s 500K .......... .......... .......... .......... .......... 16% 642M 0s 550K .......... .......... .......... .......... .......... 18% 637M 0s 600K .......... .......... .......... .......... .......... 19% 601M 0s 650K .......... .......... .......... .......... .......... 21% 557M 0s 700K .......... .......... .......... .......... .......... 22% 687M 0s 750K .......... .......... .......... .......... .......... 24% 625M 0s 800K .......... .......... .......... .......... .......... 25% 581M 0s 850K .......... .......... .......... .......... .......... 27% 554M 0s 900K .......... .......... .......... .......... .......... 28% 608M 0s 950K .......... .......... .......... .......... .......... 30% 657M 0s 1000K .......... .......... .......... .......... .......... 31% 614M 0s 1050K .......... .......... .......... .......... .......... 33% 604M 0s 1100K .......... .......... .......... .......... .......... 34% 691M 0s 1150K .......... .......... .......... .......... .......... 36% 697M 0s 1200K .......... .......... .......... .......... .......... 37% 728M 0s 1250K .......... .......... .......... .......... .......... 39% 1.71M 0s 1300K .......... .......... .......... .......... .......... 41% 660M 0s 1350K .......... .......... .......... .......... .......... 42% 708M 0s 1400K .......... .......... .......... .......... .......... 44% 617M 0s 1450K .......... .......... .......... .......... .......... 45% 558M 0s 1500K .......... .......... .......... .......... .......... 47% 624M 0s 1550K .......... .......... .......... .......... .......... 48% 682M 0s 1600K .......... .......... .......... .......... .......... 50% 634M 0s 1650K .......... .......... .......... .......... .......... 51% 518M 0s 1700K .......... .......... .......... .......... .......... 53% 697M 0s 1750K .......... .......... .......... .......... .......... 54% 609M 0s 1800K .......... .......... .......... .......... .......... 56% 672M 0s 1850K .......... .......... .......... .......... .......... 57% 529M 0s 1900K .......... .......... .......... .......... .......... 59% 594M 0s 1950K .......... .......... .......... .......... .......... 60% 655M 0s 2000K .......... .......... .......... .......... .......... 62% 588M 0s 2050K .......... .......... .......... .......... .......... 63% 495M 0s 2100K .......... .......... .......... .......... .......... 65% 648M 0s 2150K .......... .......... .......... .......... .......... 66% 637M 0s 2200K .......... .......... .......... .......... .......... 68% 622M 0s 2250K .......... .......... .......... .......... .......... 69% 486M 0s 2300K .......... .......... .......... .......... .......... 71% 611M 0s 2350K .......... .......... .......... .......... .......... 72% 623M 0s 2400K .......... .......... .......... .......... .......... 74% 573M 0s 2450K .......... .......... .......... .......... .......... 75% 544M 0s 2500K .......... .......... .......... .......... .......... 77% 568M 0s 2550K .......... .......... .......... .......... .......... 79% 648M 0s 2600K .......... .......... .......... .......... .......... 80% 665M 0s 2650K .......... .......... .......... .......... .......... 82% 563M 0s 2700K .......... .......... .......... .......... .......... 83% 664M 0s 2750K .......... .......... .......... .......... .......... 85% 662M 0s 2800K .......... .......... .......... .......... .......... 86% 657M 0s 2850K .......... .......... .......... .......... .......... 88% 559M 0s 2900K .......... .......... .......... .......... .......... 89% 652M 0s 2950K .......... .......... .......... .......... .......... 91% 647M 0s 3000K .......... .......... .......... .......... .......... 92% 677M 0s 3050K .......... .......... .......... .......... .......... 94% 572M 0s 3100K .......... .......... .......... .......... .......... 95% 677M 0s 3150K .......... .......... .......... .......... .......... 97% 691M 0s 3200K .......... .......... .......... .......... .......... 98% 645M 0s 3250K .......... .......... .......... .......... 100% 626M=0.07s 2023-01-04 18:58:24 (45.6 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]