$ git clone -n https://gitee.com/src-anolis-os/anaconda /var/lib/mock/dist-an8.7-build-133868-48485/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-133868-48485/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 5603084 add BOOTLOONGARCH64.EFI for anaconda to support new firmware $ wget -O anaconda-33.16.6.7.tar.bz2 http://8.131.87.1/kojifiles/upstream-source/anaconda-33.16.6.7.tar.bz2.8ab20f29d153b7e2a16423795b5d5755 --2022-10-13 06:36:45-- http://8.131.87.1/kojifiles/upstream-source/anaconda-33.16.6.7.tar.bz2.8ab20f29d153b7e2a16423795b5d5755 Connecting to 8.131.87.1:80... 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% 3.27M 1s 50K .......... .......... .......... .......... .......... 2% 7.06M 1s 100K .......... .......... .......... .......... .......... 4% 37.3M 0s 150K .......... .......... .......... .......... .......... 5% 7.26M 0s 200K .......... .......... .......... .......... .......... 7% 52.6M 0s 250K .......... .......... .......... .......... .......... 8% 6.76M 0s 300K .......... .......... .......... .......... .......... 10% 7.33M 0s 350K .......... .......... .......... .......... .......... 11% 56.1M 0s 400K .......... .......... .......... .......... .......... 13% 7.00M 0s 450K .......... .......... .......... .......... .......... 14% 50.8M 0s 500K .......... .......... .......... .......... .......... 16% 7.32M 0s 550K .......... .......... .......... .......... .......... 17% 44.9M 0s 600K .......... .......... .......... .......... .......... 19% 7.86M 0s 650K .......... .......... .......... .......... .......... 20% 37.9M 0s 700K .......... .......... .......... .......... .......... 22% 8.01M 0s 750K .......... .......... .......... .......... .......... 23% 40.5M 0s 800K .......... .......... .......... .......... .......... 25% 7.77M 0s 850K .......... .......... .......... .......... .......... 26% 32.1M 0s 900K .......... .......... .......... .......... .......... 28% 8.68M 0s 950K .......... .......... .......... .......... .......... 29% 32.9M 0s 1000K .......... .......... .......... .......... .......... 31% 9.93M 0s 1050K .......... .......... .......... .......... .......... 32% 17.3M 0s 1100K .......... .......... .......... .......... .......... 34% 13.7M 0s 1150K .......... .......... .......... .......... .......... 35% 12.9M 0s 1200K .......... .......... .......... .......... .......... 37% 35.0M 0s 1250K .......... .......... .......... .......... .......... 38% 9.94M 0s 1300K .......... .......... .......... .......... .......... 40% 29.4M 0s 1350K .......... .......... .......... .......... .......... 41% 15.5M 0s 1400K .......... .......... .......... .......... .......... 43% 10.1M 0s 1450K .......... .......... .......... .......... .......... 44% 103M 0s 1500K .......... .......... .......... .......... .......... 46% 14.0M 0s 1550K .......... .......... .......... .......... .......... 47% 12.0M 0s 1600K .......... .......... .......... .......... .......... 49% 24.2M 0s 1650K .......... .......... .......... .......... .......... 50% 9.03M 0s 1700K .......... .......... .......... .......... .......... 52% 79.8M 0s 1750K .......... .......... .......... .......... .......... 53% 18.9M 0s 1800K .......... .......... .......... .......... .......... 55% 11.4M 0s 1850K .......... .......... .......... .......... .......... 56% 47.7M 0s 1900K .......... .......... .......... .......... .......... 58% 21.5M 0s 1950K .......... .......... .......... .......... .......... 59% 10.8M 0s 2000K .......... .......... .......... .......... .......... 61% 142K 0s 2050K .......... .......... .......... .......... .......... 62% 63.0M 0s 2100K .......... .......... .......... .......... .......... 64% 54.8M 0s 2150K .......... .......... .......... .......... .......... 65% 49.6M 0s 2200K .......... .......... .......... .......... .......... 67% 3.49M 0s 2250K .......... .......... .......... .......... .......... 68% 197M 0s 2300K .......... .......... .......... .......... .......... 70% 225M 0s 2350K .......... .......... .......... .......... .......... 71% 17.8M 0s 2400K .......... .......... .......... .......... .......... 73% 33.1M 0s 2450K .......... .......... .......... .......... .......... 74% 23.4M 0s 2500K .......... .......... .......... .......... .......... 76% 11.3M 0s 2550K .......... .......... .......... .......... .......... 77% 19.4M 0s 2600K .......... .......... .......... .......... .......... 79% 10.3M 0s 2650K .......... .......... .......... .......... .......... 80% 38.0M 0s 2700K .......... .......... .......... .......... .......... 82% 16.7M 0s 2750K .......... .......... .......... .......... .......... 83% 11.2M 0s 2800K .......... .......... .......... .......... .......... 85% 19.3M 0s 2850K .......... .......... .......... .......... .......... 86% 9.99M 0s 2900K .......... .......... .......... .......... .......... 88% 22.0M 0s 2950K .......... .......... .......... .......... .......... 89% 12.1M 0s 3000K .......... .......... .......... .......... .......... 91% 26.0M 0s 3050K .......... .......... .......... .......... .......... 92% 14.9M 0s 3100K .......... .......... .......... .......... .......... 94% 12.3M 0s 3150K .......... .......... .......... .......... .......... 95% 16.7M 0s 3200K .......... .......... .......... .......... .......... 97% 16.5M 0s 3250K .......... .......... .......... .......... .......... 98% 19.2M 0s 3300K .......... .......... .......... .......... ...... 100% 11.0M=0.6s 2022-10-13 06:36:46 (5.59 MB/s) - ‘anaconda-33.16.6.7.tar.bz2’ saved [3427324/3427324]