$ git clone -n https://gitee.com/src-anolis-os/anaconda.git /var/lib/mock/dist-an8.8-build-274637-64240/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.8-build-274637-64240/root/chroot_tmpdir/scmroot/anaconda'... $ git fetch origin a8:KOJI_FETCH_HEAD From https://gitee.com/src-anolis-os/anaconda * [new branch] a8 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at 3b3b048 anaconda: fix multi variants error $ wget -O anaconda-33.16.8.9.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.8.9.tar.bz2.7d5daf2ca4f438f6d68082c0631c963a --2023-06-14 16:23:31-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.8.9.tar.bz2.7d5daf2ca4f438f6d68082c0631c963a Resolving build.openanolis.cn (build.openanolis.cn)... 8.131.87.1 Connecting to build.openanolis.cn (build.openanolis.cn)|8.131.87.1|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3399040 (3.2M) [application/x-bzip2] Saving to: ‘anaconda-33.16.8.9.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 2.79M 1s 50K .......... .......... .......... .......... .......... 3% 5.48M 1s 100K .......... .......... .......... .......... .......... 4% 54.0M 1s 150K .......... .......... .......... .......... .......... 6% 45.1M 0s 200K .......... .......... .......... .......... .......... 7% 5.56M 0s 250K .......... .......... .......... .......... .......... 9% 91.1M 0s 300K .......... .......... .......... .......... .......... 10% 64.0M 0s 350K .......... .......... .......... .......... .......... 12% 134M 0s 400K .......... .......... .......... .......... .......... 13% 4.87M 0s 450K .......... .......... .......... .......... .......... 15% 19.1M 0s 500K .......... .......... .......... .......... .......... 16% 120M 0s 550K .......... .......... .......... .......... .......... 18% 57.5M 0s 600K .......... .......... .......... .......... .......... 19% 109M 0s 650K .......... .......... .......... .......... .......... 21% 130M 0s 700K .......... .......... .......... .......... .......... 22% 117M 0s 750K .......... .......... .......... .......... .......... 24% 113M 0s 800K .......... .......... .......... .......... .......... 25% 136M 0s 850K .......... .......... .......... .......... .......... 27% 4.94M 0s 900K .......... .......... .......... .......... .......... 28% 11.9M 0s 950K .......... .......... .......... .......... .......... 30% 116M 0s 1000K .......... .......... .......... .......... .......... 31% 119M 0s 1050K .......... .......... .......... .......... .......... 33% 121M 0s 1100K .......... .......... .......... .......... .......... 34% 115M 0s 1150K .......... .......... .......... .......... .......... 36% 127M 0s 1200K .......... .......... .......... .......... .......... 37% 66.1M 0s 1250K .......... .......... .......... .......... .......... 39% 114M 0s 1300K .......... .......... .......... .......... .......... 40% 128M 0s 1350K .......... .......... .......... .......... .......... 42% 125M 0s 1400K .......... .......... .......... .......... .......... 43% 4.39M 0s 1450K .......... .......... .......... .......... .......... 45% 20.5M 0s 1500K .......... .......... .......... .......... .......... 46% 109M 0s 1550K .......... .......... .......... .......... .......... 48% 123M 0s 1600K .......... .......... .......... .......... .......... 49% 122M 0s 1650K .......... .......... .......... .......... .......... 51% 123M 0s 1700K .......... .......... .......... .......... .......... 52% 68.0M 0s 1750K .......... .......... .......... .......... .......... 54% 124M 0s 1800K .......... .......... .......... .......... .......... 55% 137M 0s 1850K .......... .......... .......... .......... .......... 57% 116M 0s 1900K .......... .......... .......... .......... .......... 58% 114M 0s 1950K .......... .......... .......... .......... .......... 60% 3.67M 0s 2000K .......... .......... .......... .......... .......... 61% 46.9M 0s 2050K .......... .......... .......... .......... .......... 63% 117M 0s 2100K .......... .......... .......... .......... .......... 64% 128M 0s 2150K .......... .......... .......... .......... .......... 66% 120M 0s 2200K .......... .......... .......... .......... .......... 67% 64.5M 0s 2250K .......... .......... .......... .......... .......... 69% 131M 0s 2300K .......... .......... .......... .......... .......... 70% 122M 0s 2350K .......... .......... .......... .......... .......... 72% 108M 0s 2400K .......... .......... .......... .......... .......... 73% 128M 0s 2450K .......... .......... .......... .......... .......... 75% 129M 0s 2500K .......... .......... .......... .......... .......... 76% 3.67M 0s 2550K .......... .......... .......... .......... .......... 78% 30.0M 0s 2600K .......... .......... .......... .......... .......... 79% 110M 0s 2650K .......... .......... .......... .......... .......... 81% 127M 0s 2700K .......... .......... .......... .......... .......... 82% 118M 0s 2750K .......... .......... .......... .......... .......... 84% 122M 0s 2800K .......... .......... .......... .......... .......... 85% 114M 0s 2850K .......... .......... .......... .......... .......... 87% 70.5M 0s 2900K .......... .......... .......... .......... .......... 88% 116M 0s 2950K .......... .......... .......... .......... .......... 90% 108M 0s 3000K .......... .......... .......... .......... .......... 91% 130M 0s 3050K .......... .......... .......... .......... .......... 93% 128M 0s 3100K .......... .......... .......... .......... .......... 94% 7.80M 0s 3150K .......... .......... .......... .......... .......... 96% 26.6M 0s 3200K .......... .......... .......... .......... .......... 97% 62.2M 0s 3250K .......... .......... .......... .......... .......... 99% 55.8M 0s 3300K .......... ......... 100% 759M=0.1s 2023-06-14 16:23:31 (23.6 MB/s) - ‘anaconda-33.16.8.9.tar.bz2’ saved [3399040/3399040]