$ git clone -n https://gitee.com/src-anolis-os/containernetworking-plugins /var/lib/mock/module-container-tools-4.0-8090020240304071628-95ed14cf-build-356762-71113/root/chroot_tmpdir/scmroot/containernetworking-plugins Cloning into '/var/lib/mock/module-container-tools-4.0-8090020240304071628-95ed14cf-build-356762-71113/root/chroot_tmpdir/scmroot/containernetworking-plugins'... $ git reset --hard 9688e475f18de36ac371307f8fcc34fa6268d8bd HEAD is now at 9688e47 Remove loongarch64 arch $ wget -O v1.1.1.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/v1.1.1.tar.gz.c37fed40151ddf0a00ef265c9dd91742 --2024-03-04 15:59:13-- http://build.openanolis.cn/kojifiles/upstream-source/v1.1.1.tar.gz.c37fed40151ddf0a00ef265c9dd91742 Resolving build.openanolis.cn (build.openanolis.cn)... 172.16.0.137 Connecting to build.openanolis.cn (build.openanolis.cn)|172.16.0.137|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3076064 (2.9M) [application/x-gzip] Saving to: ‘v1.1.1.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 66.2K 45s 50K .......... .......... .......... .......... .......... 3% 43.2M 22s 100K .......... .......... .......... .......... .......... 4% 22.2M 14s 150K .......... .......... .......... .......... .......... 6% 41.1M 11s 200K .......... .......... .......... .......... .......... 8% 786K 9s 250K .......... .......... .......... .......... .......... 9% 43.6M 7s 300K .......... .......... .......... .......... .......... 11% 42.9M 6s 350K .......... .......... .......... .......... .......... 13% 43.6M 5s 400K .......... .......... .......... .......... .......... 14% 42.7M 5s 450K .......... .......... .......... .......... .......... 16% 44.8M 4s 500K .......... .......... .......... .......... .......... 18% 42.2M 4s 550K .......... .......... .......... .......... .......... 19% 45.5M 3s 600K .......... .......... .......... .......... .......... 21% 42.7M 3s 650K .......... .......... .......... .......... .......... 23% 46.5M 3s 700K .......... .......... .......... .......... .......... 24% 43.2M 3s 750K .......... .......... .......... .......... .......... 26% 656M 2s 800K .......... .......... .......... .......... .......... 28% 43.6M 2s 850K .......... .......... .......... .......... .......... 29% 43.8M 2s 900K .......... .......... .......... .......... .......... 31% 45.0M 2s 950K .......... .......... .......... .......... .......... 33% 672M 2s 1000K .......... .......... .......... .......... .......... 34% 43.1M 2s 1050K .......... .......... .......... .......... .......... 36% 47.2M 1s 1100K .......... .......... .......... .......... .......... 38% 652M 1s 1150K .......... .......... .......... .......... .......... 39% 45.6M 1s 1200K .......... .......... .......... .......... .......... 41% 604M 1s 1250K .......... .......... .......... .......... .......... 43% 44.7M 1s 1300K .......... .......... .......... .......... .......... 44% 47.8M 1s 1350K .......... .......... .......... .......... .......... 46% 433M 1s 1400K .......... .......... .......... .......... .......... 48% 45.8M 1s 1450K .......... .......... .......... .......... .......... 49% 541M 1s 1500K .......... .......... .......... .......... .......... 51% 47.0M 1s 1550K .......... .......... .......... .......... .......... 53% 326M 1s 1600K .......... .......... .......... .......... .......... 54% 47.3M 1s 1650K .......... .......... .......... .......... .......... 56% 679M 1s 1700K .......... .......... .......... .......... .......... 58% 698M 1s 1750K .......... .......... .......... .......... .......... 59% 45.8M 1s 1800K .......... .......... .......... .......... .......... 61% 402M 1s 1850K .......... .......... .......... .......... .......... 63% 50.0M 0s 1900K .......... .......... .......... .......... .......... 64% 525M 0s 1950K .......... .......... .......... .......... .......... 66% 49.7M 0s 2000K .......... .......... .......... .......... .......... 68% 277M 0s 2050K .......... .......... .......... .......... .......... 69% 682M 0s 2100K .......... .......... .......... .......... .......... 71% 48.3M 0s 2150K .......... .......... .......... .......... .......... 73% 709M 0s 2200K .......... .......... .......... .......... .......... 74% 79.0M 0s 2250K .......... .......... .......... .......... .......... 76% 106M 0s 2300K .......... .......... .......... .......... .......... 78% 731M 0s 2350K .......... .......... .......... .......... .......... 79% 48.9M 0s 2400K .......... .......... .......... .......... .......... 81% 606M 0s 2450K .......... .......... .......... .......... .......... 83% 770M 0s 2500K .......... .......... .......... .......... .......... 84% 49.2M 0s 2550K .......... .......... .......... .......... .......... 86% 315M 0s 2600K .......... .......... .......... .......... .......... 88% 709M 0s 2650K .......... .......... .......... .......... .......... 89% 56.4M 0s 2700K .......... .......... .......... .......... .......... 91% 339M 0s 2750K .......... .......... .......... .......... .......... 93% 652M 0s 2800K .......... .......... .......... .......... .......... 94% 50.8M 0s 2850K .......... .......... .......... .......... .......... 96% 597M 0s 2900K .......... .......... .......... .......... .......... 98% 589M 0s 2950K .......... .......... .......... .......... .......... 99% 701M 0s 3000K ... 100% 7570G=0.9s 2024-03-04 15:59:15 (3.42 MB/s) - ‘v1.1.1.tar.gz’ saved [3076064/3076064]