$ git clone -n https://gitee.com/mgb01105731/mutter.git /var/lib/mock/dist-an8.6-build-102639-45598/root/chroot_tmpdir/scmroot/mutter Cloning into '/var/lib/mock/dist-an8.6-build-102639-45598/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 --2022-07-19 09:52:06-- http://build.openanolis.cn/kojifiles/upstream-source/mutter-3.32.2.tar.xz.283c54e0f8a37dc54b99a1de0e0b2a2e Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.227, 8.141.190.229, 8.141.190.231, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.227|: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% 568K 5s 50K .......... .......... .......... .......... .......... 3% 7.13M 2s 100K .......... .......... .......... .......... .......... 5% 3.48M 2s 150K .......... .......... .......... .......... .......... 7% 2.77M 2s 200K .......... .......... .......... .......... .......... 9% 204M 1s 250K .......... .......... .......... .......... .......... 10% 1.94M 1s 300K .......... .......... .......... .......... .......... 12% 95.1M 1s 350K .......... .......... .......... .......... .......... 14% 3.88M 1s 400K .......... .......... .......... .......... .......... 16% 45.7M 1s 450K .......... .......... .......... .......... .......... 18% 1.70M 1s 500K .......... .......... .......... .......... .......... 20% 165M 1s 550K .......... .......... .......... .......... .......... 21% 161M 1s 600K .......... .......... .......... .......... .......... 23% 3.35M 1s 650K .......... .......... .......... .......... .......... 25% 403M 1s 700K .......... .......... .......... .......... .......... 27% 1.89M 1s 750K .......... .......... .......... .......... .......... 29% 104M 1s 800K .......... .......... .......... .......... .......... 31% 4.35M 1s 850K .......... .......... .......... .......... .......... 32% 14.0M 1s 900K .......... .......... .......... .......... .......... 34% 2.66M 1s 950K .......... .......... .......... .......... .......... 36% 9.30M 0s 1000K .......... .......... .......... .......... .......... 38% 95.7M 0s 1050K .......... .......... .......... .......... .......... 40% 2.77M 0s 1100K .......... .......... .......... .......... .......... 42% 23.1M 0s 1150K .......... .......... .......... .......... .......... 43% 2.97M 0s 1200K .......... .......... .......... .......... .......... 45% 9.99M 0s 1250K .......... .......... .......... .......... .......... 47% 3.60M 0s 1300K .......... .......... .......... .......... .......... 49% 7.55M 0s 1350K .......... .......... .......... .......... .......... 51% 100M 0s 1400K .......... .......... .......... .......... .......... 53% 2.65M 0s 1450K .......... .......... .......... .......... .......... 54% 9.50M 0s 1500K .......... .......... .......... .......... .......... 56% 4.15M 0s 1550K .......... .......... .......... .......... .......... 58% 9.19M 0s 1600K .......... .......... .......... .......... .......... 60% 3.19M 0s 1650K .......... .......... .......... .......... .......... 62% 6.29M 0s 1700K .......... .......... .......... .......... .......... 64% 682M 0s 1750K .......... .......... .......... .......... .......... 65% 2.81M 0s 1800K .......... .......... .......... .......... .......... 67% 35.7M 0s 1850K .......... .......... .......... .......... .......... 69% 3.00M 0s 1900K .......... .......... .......... .......... .......... 71% 12.5M 0s 1950K .......... .......... .......... .......... .......... 73% 28.0M 0s 2000K .......... .......... .......... .......... .......... 75% 2.48M 0s 2050K .......... .......... .......... .......... .......... 76% 77.7M 0s 2100K .......... .......... .......... .......... .......... 78% 2.73M 0s 2150K .......... .......... .......... .......... .......... 80% 30.1M 0s 2200K .......... .......... .......... .......... .......... 82% 3.29M 0s 2250K .......... .......... .......... .......... .......... 84% 8.82M 0s 2300K .......... .......... .......... .......... .......... 86% 28.9M 0s 2350K .......... .......... .......... .......... .......... 87% 2.62M 0s 2400K .......... .......... .......... .......... .......... 89% 27.8M 0s 2450K .......... .......... .......... .......... .......... 91% 3.32M 0s 2500K .......... .......... .......... .......... .......... 93% 6.69M 0s 2550K .......... .......... .......... .......... .......... 95% 4.45M 0s 2600K .......... .......... .......... .......... .......... 96% 5.99M 0s 2650K .......... .......... .......... .......... .......... 98% 19.1M 0s 2700K .......... .......... .......... .. 100% 2.58M=0.6s 2022-07-19 09:52:07 (4.61 MB/s) - ‘mutter-3.32.2.tar.xz’ saved [2797664/2797664]