$ git clone -n https://gitee.com/src-anolis-os/anaconda.git /var/lib/mock/dist-an8.7-build-261839-63788/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-261839-63788/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 2dcc24eb7233f000e57204375775437030b00b9b HEAD is now at 2dcc24e Set default timezone to Beijing $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2023-05-11 14:29:47-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 42.81.21.216, 42.81.21.215, 42.81.21.218, ... Connecting to build.openanolis.cn (build.openanolis.cn)|42.81.21.216|: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% 4.42M 1s 50K .......... .......... .......... .......... .......... 3% 209M 0s 100K .......... .......... .......... .......... .......... 4% 4.56M 0s 150K .......... .......... .......... .......... .......... 6% 134M 0s 200K .......... .......... .......... .......... .......... 7% 149M 0s 250K .......... .......... .......... .......... .......... 9% 4.89M 0s 300K .......... .......... .......... .......... .......... 10% 114M 0s 350K .......... .......... .......... .......... .......... 12% 144M 0s 400K .......... .......... .......... .......... .......... 13% 326M 0s 450K .......... .......... .......... .......... .......... 15% 145M 0s 500K .......... .......... .......... .......... .......... 16% 186M 0s 550K .......... .......... .......... .......... .......... 18% 172M 0s 600K .......... .......... .......... .......... .......... 19% 119M 0s 650K .......... .......... .......... .......... .......... 21% 403M 0s 700K .......... .......... .......... .......... .......... 22% 5.48M 0s 750K .......... .......... .......... .......... .......... 24% 57.0M 0s 800K .......... .......... .......... .......... .......... 25% 171M 0s 850K .......... .......... .......... .......... .......... 27% 182M 0s 900K .......... .......... .......... .......... .......... 28% 198M 0s 950K .......... .......... .......... .......... .......... 30% 177M 0s 1000K .......... .......... .......... .......... .......... 31% 228M 0s 1050K .......... .......... .......... .......... .......... 33% 106M 0s 1100K .......... .......... .......... .......... .......... 34% 301M 0s 1150K .......... .......... .......... .......... .......... 36% 159M 0s 1200K .......... .......... .......... .......... .......... 37% 172M 0s 1250K .......... .......... .......... .......... .......... 39% 5.15M 0s 1300K .......... .......... .......... .......... .......... 41% 177M 0s 1350K .......... .......... .......... .......... .......... 42% 162M 0s 1400K .......... .......... .......... .......... .......... 44% 192M 0s 1450K .......... .......... .......... .......... .......... 45% 167M 0s 1500K .......... .......... .......... .......... .......... 47% 1.71M 0s 1550K .......... .......... .......... .......... .......... 48% 117M 0s 1600K .......... .......... .......... .......... .......... 50% 151M 0s 1650K .......... .......... .......... .......... .......... 51% 204M 0s 1700K .......... .......... .......... .......... .......... 53% 147M 0s 1750K .......... .......... .......... .......... .......... 54% 198M 0s 1800K .......... .......... .......... .......... .......... 56% 115M 0s 1850K .......... .......... .......... .......... .......... 57% 168M 0s 1900K .......... .......... .......... .......... .......... 59% 197M 0s 1950K .......... .......... .......... .......... .......... 60% 184M 0s 2000K .......... .......... .......... .......... .......... 62% 5.22M 0s 2050K .......... .......... .......... .......... .......... 63% 111M 0s 2100K .......... .......... .......... .......... .......... 65% 53.9M 0s 2150K .......... .......... .......... .......... .......... 66% 139M 0s 2200K .......... .......... .......... .......... .......... 68% 114M 0s 2250K .......... .......... .......... .......... .......... 69% 179M 0s 2300K .......... .......... .......... .......... .......... 71% 194M 0s 2350K .......... .......... .......... .......... .......... 72% 156M 0s 2400K .......... .......... .......... .......... .......... 74% 204M 0s 2450K .......... .......... .......... .......... .......... 75% 179M 0s 2500K .......... .......... .......... .......... .......... 77% 5.26M 0s 2550K .......... .......... .......... .......... .......... 79% 18.3M 0s 2600K .......... .......... .......... .......... .......... 80% 39.1M 0s 2650K .......... .......... .......... .......... .......... 82% 161M 0s 2700K .......... .......... .......... .......... .......... 83% 368M 0s 2750K .......... .......... .......... .......... .......... 85% 137M 0s 2800K .......... .......... .......... .......... .......... 86% 76.5M 0s 2850K .......... .......... .......... .......... .......... 88% 158M 0s 2900K .......... .......... .......... .......... .......... 89% 183M 0s 2950K .......... .......... .......... .......... .......... 91% 5.36M 0s 3000K .......... .......... .......... .......... .......... 92% 96.3M 0s 3050K .......... .......... .......... .......... .......... 94% 13.3M 0s 3100K .......... .......... .......... .......... .......... 95% 113M 0s 3150K .......... .......... .......... .......... .......... 97% 164M 0s 3200K .......... .......... .......... .......... .......... 98% 181M 0s 3250K .......... .......... .......... .......... 100% 391M=0.1s 2023-05-11 14:29:47 (24.4 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]