$ git clone -n https://gitee.com/zhaohang_mskdxl/augeas.git /var/lib/mock/dist-an8.9-build-395608-72190/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.9-build-395608-72190/root/chroot_tmpdir/scmroot/augeas'... $ git reset --hard 370cf0d466223583d60afccff1b4fbdf25e06b36 HEAD is now at 370cf0d update to augeas-1.13.0-6.src.rpm $ wget -O augeas-1.13.0.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.13.0.tar.gz.dbcbdac92c8beeb9e60ab577cb2dbc66 --2024-09-09 10:23:21-- http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.13.0.tar.gz.dbcbdac92c8beeb9e60ab577cb2dbc66 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: 2556010 (2.4M) [application/x-gzip] Saving to: ‘augeas-1.13.0.tar.gz’ 0K .......... .......... .......... .......... .......... 2% 19.9M 0s 50K .......... .......... .......... .......... .......... 4% 39.2M 0s 100K .......... .......... .......... .......... .......... 6% 20.5M 0s 150K .......... .......... .......... .......... .......... 8% 35.3M 0s 200K .......... .......... .......... .......... .......... 10% 20.8M 0s 250K .......... .......... .......... .......... .......... 12% 40.8M 0s 300K .......... .......... .......... .......... .......... 14% 38.7M 0s 350K .......... .......... .......... .......... .......... 16% 40.0M 0s 400K .......... .......... .......... .......... .......... 18% 39.3M 0s 450K .......... .......... .......... .......... .......... 20% 41.1M 0s 500K .......... .......... .......... .......... .......... 22% 39.8M 0s 550K .......... .......... .......... .......... .......... 24% 41.5M 0s 600K .......... .......... .......... .......... .......... 26% 40.4M 0s 650K .......... .......... .......... .......... .......... 28% 41.3M 0s 700K .......... .......... .......... .......... .......... 30% 40.7M 0s 750K .......... .......... .......... .......... .......... 32% 41.9M 0s 800K .......... .......... .......... .......... .......... 34% 481M 0s 850K .......... .......... .......... .......... .......... 36% 39.3M 0s 900K .......... .......... .......... .......... .......... 38% 43.9M 0s 950K .......... .......... .......... .......... .......... 40% 606M 0s 1000K .......... .......... .......... .......... .......... 42% 40.9M 0s 1050K .......... .......... .......... .......... .......... 44% 43.6M 0s 1100K .......... .......... .......... .......... .......... 46% 463M 0s 1150K .......... .......... .......... .......... .......... 48% 39.4M 0s 1200K .......... .......... .......... .......... .......... 50% 587M 0s 1250K .......... .......... .......... .......... .......... 52% 44.1M 0s 1300K .......... .......... .......... .......... .......... 54% 42.4M 0s 1350K .......... .......... .......... .......... .......... 56% 321M 0s 1400K .......... .......... .......... .......... .......... 58% 44.9M 0s 1450K .......... .......... .......... .......... .......... 60% 661M 0s 1500K .......... .......... .......... .......... .......... 62% 42.7M 0s 1550K .......... .......... .......... .......... .......... 64% 321M 0s 1600K .......... .......... .......... .......... .......... 66% 46.1M 0s 1650K .......... .......... .......... .......... .......... 68% 659M 0s 1700K .......... .......... .......... .......... .......... 70% 51.7M 0s 1750K .......... .......... .......... .......... .......... 72% 176M 0s 1800K .......... .......... .......... .......... .......... 74% 733M 0s 1850K .......... .......... .......... .......... .......... 76% 43.4M 0s 1900K .......... .......... .......... .......... .......... 78% 721M 0s 1950K .......... .......... .......... .......... .......... 80% 42.9M 0s 2000K .......... .......... .......... .......... .......... 82% 603M 0s 2050K .......... .......... .......... .......... .......... 84% 767M 0s 2100K .......... .......... .......... .......... .......... 86% 44.9M 0s 2150K .......... .......... .......... .......... .......... 88% 724M 0s 2200K .......... .......... .......... .......... .......... 90% 44.8M 0s 2250K .......... .......... .......... .......... .......... 92% 492M 0s 2300K .......... .......... .......... .......... .......... 94% 510M 0s 2350K .......... .......... .......... .......... .......... 96% 46.7M 0s 2400K .......... .......... .......... .......... .......... 98% 585M 0s 2450K .......... .......... .......... .......... ...... 100% 797M=0.04s 2024-09-09 10:23:21 (57.0 MB/s) - ‘augeas-1.13.0.tar.gz’ saved [2556010/2556010]