$ git clone -n https://gitee.com/src-anolis-os/anaconda.git /var/lib/mock/dist-an8.6-build-90255-45287/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-90255-45287/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 3f8c6f8 install: fix kernel spoke notify $ wget -O anaconda-33.16.6.7.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.6.7.tar.bz2.8ab20f29d153b7e2a16423795b5d5755 --2022-05-17 21:14:35-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.6.7.tar.bz2.8ab20f29d153b7e2a16423795b5d5755 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.226, 8.141.190.224, 8.141.190.228, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.226|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3427324 (3.3M) [application/x-bzip2] Saving to: ‘anaconda-33.16.6.7.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 1.45M 2s 50K .......... .......... .......... .......... .......... 2% 2.89M 2s 100K .......... .......... .......... .......... .......... 4% 123M 1s 150K .......... .......... .......... .......... .......... 5% 116M 1s 200K .......... .......... .......... .......... .......... 7% 3.56M 1s 250K .......... .......... .......... .......... .......... 8% 84.4M 1s 300K .......... .......... .......... .......... .......... 10% 29.3M 1s 350K .......... .......... .......... .......... .......... 11% 3.49M 1s 400K .......... .......... .......... .......... .......... 13% 407M 1s 450K .......... .......... .......... .......... .......... 14% 42.7M 0s 500K .......... .......... .......... .......... .......... 16% 139M 0s 550K .......... .......... .......... .......... .......... 17% 22.7M 0s 600K .......... .......... .......... .......... .......... 19% 134M 0s 650K .......... .......... .......... .......... .......... 20% 4.42M 0s 700K .......... .......... .......... .......... .......... 22% 52.8M 0s 750K .......... .......... .......... .......... .......... 23% 68.2M 0s 800K .......... .......... .......... .......... .......... 25% 14.1M 0s 850K .......... .......... .......... .......... .......... 26% 404M 0s 900K .......... .......... .......... .......... .......... 28% 373M 0s 950K .......... .......... .......... .......... .......... 29% 442M 0s 1000K .......... .......... .......... .......... .......... 31% 5.10M 0s 1050K .......... .......... .......... .......... .......... 32% 409M 0s 1100K .......... .......... .......... .......... .......... 34% 234M 0s 1150K .......... .......... .......... .......... .......... 35% 157M 0s 1200K .......... .......... .......... .......... .......... 37% 403M 0s 1250K .......... .......... .......... .......... .......... 38% 360M 0s 1300K .......... .......... .......... .......... .......... 40% 249M 0s 1350K .......... .......... .......... .......... .......... 41% 74.6M 0s 1400K .......... .......... .......... .......... .......... 43% 46.3M 0s 1450K .......... .......... .......... .......... .......... 44% 9.75M 0s 1500K .......... .......... .......... .......... .......... 46% 158M 0s 1550K .......... .......... .......... .......... .......... 47% 57.9M 0s 1600K .......... .......... .......... .......... .......... 49% 52.9M 0s 1650K .......... .......... .......... .......... .......... 50% 280M 0s 1700K .......... .......... .......... .......... .......... 52% 372M 0s 1750K .......... .......... .......... .......... .......... 53% 47.9M 0s 1800K .......... .......... .......... .......... .......... 55% 98.4M 0s 1850K .......... .......... .......... .......... .......... 56% 245M 0s 1900K .......... .......... .......... .......... .......... 58% 173M 0s 1950K .......... .......... .......... .......... .......... 59% 55.9M 0s 2000K .......... .......... .......... .......... .......... 61% 11.2M 0s 2050K .......... .......... .......... .......... .......... 62% 321M 0s 2100K .......... .......... .......... .......... .......... 64% 422M 0s 2150K .......... .......... .......... .......... .......... 65% 375M 0s 2200K .......... .......... .......... .......... .......... 67% 27.9M 0s 2250K .......... .......... .......... .......... .......... 68% 157M 0s 2300K .......... .......... .......... .......... .......... 70% 378M 0s 2350K .......... .......... .......... .......... .......... 71% 362M 0s 2400K .......... .......... .......... .......... .......... 73% 94.9M 0s 2450K .......... .......... .......... .......... .......... 74% 164M 0s 2500K .......... .......... .......... .......... .......... 76% 12.7M 0s 2550K .......... .......... .......... .......... .......... 77% 175M 0s 2600K .......... .......... .......... .......... .......... 79% 391M 0s 2650K .......... .......... .......... .......... .......... 80% 361M 0s 2700K .......... .......... .......... .......... .......... 82% 27.8M 0s 2750K .......... .......... .......... .......... .......... 83% 150M 0s 2800K .......... .......... .......... .......... .......... 85% 247M 0s 2850K .......... .......... .......... .......... .......... 86% 364M 0s 2900K .......... .......... .......... .......... .......... 88% 122M 0s 2950K .......... .......... .......... .......... .......... 89% 296M 0s 3000K .......... .......... .......... .......... .......... 91% 12.9M 0s 3050K .......... .......... .......... .......... .......... 92% 377M 0s 3100K .......... .......... .......... .......... .......... 94% 63.3M 0s 3150K .......... .......... .......... .......... .......... 95% 117M 0s 3200K .......... .......... .......... .......... .......... 97% 42.4M 0s 3250K .......... .......... .......... .......... .......... 98% 60.8M 0s 3300K .......... .......... .......... .......... ...... 100% 41.3M=0.1s 2022-05-17 21:14:36 (22.1 MB/s) - ‘anaconda-33.16.6.7.tar.bz2’ saved [3427324/3427324]