$ git clone -n https://gitee.com/wb-qtt862918/mutter.git /var/lib/mock/dist-an8.6-build-127503-46180/root/chroot_tmpdir/scmroot/mutter Cloning into '/var/lib/mock/dist-an8.6-build-127503-46180/root/chroot_tmpdir/scmroot/mutter'... $ git reset --hard 13bf5794dc7d73bdafe77475749b3e6314269425 HEAD is now at 13bf579 Add doc sub package $ wget -O mutter-3.32.2.tar.xz http://build.openanolis.cn/kojifiles/upstream-source/mutter-3.32.2.tar.xz.283c54e0f8a37dc54b99a1de0e0b2a2e --2022-09-27 18:12:55-- http://build.openanolis.cn/kojifiles/upstream-source/mutter-3.32.2.tar.xz.283c54e0f8a37dc54b99a1de0e0b2a2e Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.231, 8.141.190.224, 8.141.190.230, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.231|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 2797664 (2.7M) [application/x-xz] Saving to: ‘mutter-3.32.2.tar.xz’ 0K .......... .......... .......... .......... .......... 1% 1.21M 2s 50K .......... .......... .......... .......... .......... 3% 2.32M 2s 100K .......... .......... .......... .......... .......... 5% 2.32M 1s 150K .......... .......... .......... .......... .......... 7% 1.20M 2s 200K .......... .......... .......... .......... .......... 9% 2.37M 1s 250K .......... .......... .......... .......... .......... 10% 2.26M 1s 300K .......... .......... .......... .......... .......... 12% 2.52M 1s 350K .......... .......... .......... .......... .......... 14% 2.28M 1s 400K .......... .......... .......... .......... .......... 16% 2.45M 1s 450K .......... .......... .......... .......... .......... 18% 2.33M 1s 500K .......... .......... .......... .......... .......... 20% 69.0M 1s 550K .......... .......... .......... .......... .......... 21% 2.29M 1s 600K .......... .......... .......... .......... .......... 23% 2.41M 1s 650K .......... .......... .......... .......... .......... 25% 2.33M 1s 700K .......... .......... .......... .......... .......... 27% 2.46M 1s 750K .......... .......... .......... .......... .......... 29% 33.9M 1s 800K .......... .......... .......... .......... .......... 31% 2.48M 1s 850K .......... .......... .......... .......... .......... 32% 2.47M 1s 900K .......... .......... .......... .......... .......... 34% 23.6M 1s 950K .......... .......... .......... .......... .......... 36% 2.45M 1s 1000K .......... .......... .......... .......... .......... 38% 43.6M 1s 1050K .......... .......... .......... .......... .......... 40% 2.49M 1s 1100K .......... .......... .......... .......... .......... 42% 2.61M 1s 1150K .......... .......... .......... .......... .......... 43% 24.0M 1s 1200K .......... .......... .......... .......... .......... 45% 2.56M 1s 1250K .......... .......... .......... .......... .......... 47% 25.9M 1s 1300K .......... .......... .......... .......... .......... 49% 2.54M 0s 1350K .......... .......... .......... .......... .......... 51% 37.6M 0s 1400K .......... .......... .......... .......... .......... 53% 2.40M 0s 1450K .......... .......... .......... .......... .......... 54% 426M 0s 1500K .......... .......... .......... .......... .......... 56% 2.61M 0s 1550K .......... .......... .......... .......... .......... 58% 15.1M 0s 1600K .......... .......... .......... .......... .......... 60% 2.98M 0s 1650K .......... .......... .......... .......... .......... 62% 31.6M 0s 1700K .......... .......... .......... .......... .......... 64% 17.9M 0s 1750K .......... .......... .......... .......... .......... 65% 2.83M 0s 1800K .......... .......... .......... .......... .......... 67% 18.3M 0s 1850K .......... .......... .......... .......... .......... 69% 2.90M 0s 1900K .......... .......... .......... .......... .......... 71% 19.8M 0s 1950K .......... .......... .......... .......... .......... 73% 28.4M 0s 2000K .......... .......... .......... .......... .......... 75% 2.51M 0s 2050K .......... .......... .......... .......... .......... 76% 13.0M 0s 2100K .......... .......... .......... .......... .......... 78% 3.60M 0s 2150K .......... .......... .......... .......... .......... 80% 21.7M 0s 2200K .......... .......... .......... .......... .......... 82% 19.3M 0s 2250K .......... .......... .......... .......... .......... 84% 3.11M 0s 2300K .......... .......... .......... .......... .......... 86% 16.4M 0s 2350K .......... .......... .......... .......... .......... 87% 15.8M 0s 2400K .......... .......... .......... .......... .......... 89% 3.14M 0s 2450K .......... .......... .......... .......... .......... 91% 24.4M 0s 2500K .......... .......... .......... .......... .......... 93% 19.4M 0s 2550K .......... .......... .......... .......... .......... 95% 3.25M 0s 2600K .......... .......... .......... .......... .......... 96% 14.7M 0s 2650K .......... .......... .......... .......... .......... 98% 52.1M 0s 2700K .......... .......... .......... .. 100% 10.2M=0.7s 2022-09-27 18:12:55 (3.89 MB/s) - ‘mutter-3.32.2.tar.xz’ saved [2797664/2797664]