$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-188849-60586/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-188849-60586/root/chroot_tmpdir/scmroot/anaconda'... $ git fetch origin 6ca201f4c649538ba7cef7c60ebdb1681223db2d:KOJI_FETCH_HEAD From https://gitee.com/gcdota930915/anaconda * [new ref] 6ca201f4c649538ba7cef7c60ebdb1681223db2d -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at 6ca201f Add kernel repo scripts $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-12-28 16:17:47-- 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% 206M 0s 50K .......... .......... .......... .......... .......... 3% 344M 0s 100K .......... .......... .......... .......... .......... 4% 322M 0s 150K .......... .......... .......... .......... .......... 6% 395M 0s 200K .......... .......... .......... .......... .......... 7% 576M 0s 250K .......... .......... .......... .......... .......... 9% 1.55M 0s 300K .......... .......... .......... .......... .......... 10% 371M 0s 350K .......... .......... .......... .......... .......... 12% 223M 0s 400K .......... .......... .......... .......... .......... 13% 608M 0s 450K .......... .......... .......... .......... .......... 15% 370M 0s 500K .......... .......... .......... .......... .......... 16% 484M 0s 550K .......... .......... .......... .......... .......... 18% 585M 0s 600K .......... .......... .......... .......... .......... 19% 459M 0s 650K .......... .......... .......... .......... .......... 21% 633M 0s 700K .......... .......... .......... .......... .......... 22% 362M 0s 750K .......... .......... .......... .......... .......... 24% 335M 0s 800K .......... .......... .......... .......... .......... 25% 676M 0s 850K .......... .......... .......... .......... .......... 27% 492M 0s 900K .......... .......... .......... .......... .......... 28% 521M 0s 950K .......... .......... .......... .......... .......... 30% 524M 0s 1000K .......... .......... .......... .......... .......... 31% 560M 0s 1050K .......... .......... .......... .......... .......... 33% 513M 0s 1100K .......... .......... .......... .......... .......... 34% 404M 0s 1150K .......... .......... .......... .......... .......... 36% 626M 0s 1200K .......... .......... .......... .......... .......... 37% 619M 0s 1250K .......... .......... .......... .......... .......... 39% 10.5M 0s 1300K .......... .......... .......... .......... .......... 41% 476M 0s 1350K .......... .......... .......... .......... .......... 42% 443M 0s 1400K .......... .......... .......... .......... .......... 44% 633M 0s 1450K .......... .......... .......... .......... .......... 45% 464M 0s 1500K .......... .......... .......... .......... .......... 47% 592M 0s 1550K .......... .......... .......... .......... .......... 48% 502M 0s 1600K .......... .......... .......... .......... .......... 50% 529M 0s 1650K .......... .......... .......... .......... .......... 51% 509M 0s 1700K .......... .......... .......... .......... .......... 53% 474M 0s 1750K .......... .......... .......... .......... .......... 54% 467M 0s 1800K .......... .......... .......... .......... .......... 56% 525M 0s 1850K .......... .......... .......... .......... .......... 57% 464M 0s 1900K .......... .......... .......... .......... .......... 59% 482M 0s 1950K .......... .......... .......... .......... .......... 60% 417M 0s 2000K .......... .......... .......... .......... .......... 62% 559M 0s 2050K .......... .......... .......... .......... .......... 63% 434M 0s 2100K .......... .......... .......... .......... .......... 65% 563M 0s 2150K .......... .......... .......... .......... .......... 66% 382M 0s 2200K .......... .......... .......... .......... .......... 68% 594M 0s 2250K .......... .......... .......... .......... .......... 69% 421M 0s 2300K .......... .......... .......... .......... .......... 71% 483M 0s 2350K .......... .......... .......... .......... .......... 72% 534M 0s 2400K .......... .......... .......... .......... .......... 74% 418M 0s 2450K .......... .......... .......... .......... .......... 75% 411M 0s 2500K .......... .......... .......... .......... .......... 77% 409M 0s 2550K .......... .......... .......... .......... .......... 79% 625M 0s 2600K .......... .......... .......... .......... .......... 80% 667M 0s 2650K .......... .......... .......... .......... .......... 82% 697M 0s 2700K .......... .......... .......... .......... .......... 83% 612M 0s 2750K .......... .......... .......... .......... .......... 85% 693M 0s 2800K .......... .......... .......... .......... .......... 86% 692M 0s 2850K .......... .......... .......... .......... .......... 88% 714M 0s 2900K .......... .......... .......... .......... .......... 89% 615M 0s 2950K .......... .......... .......... .......... .......... 91% 692M 0s 3000K .......... .......... .......... .......... .......... 92% 625M 0s 3050K .......... .......... .......... .......... .......... 94% 680M 0s 3100K .......... .......... .......... .......... .......... 95% 605M 0s 3150K .......... .......... .......... .......... .......... 97% 719M 0s 3200K .......... .......... .......... .......... .......... 98% 717M 0s 3250K .......... .......... .......... .......... 100% 695M=0.04s 2022-12-28 16:17:47 (75.4 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]