$ git clone -n https://gitee.com/src-anolis-os/augeas.git /var/lib/mock/dist-an8.9-build-337972-69728/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.9-build-337972-69728/root/chroot_tmpdir/scmroot/augeas'... $ git reset --hard origin/a8 HEAD is now at cf61703 update to augeas-1.13.0-5.src.rpm $ wget -O augeas-1.13.0.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.13.0.tar.gz.dbcbdac92c8beeb9e60ab577cb2dbc66 --2023-12-14 18:46:38-- 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% 18.6M 0s 50K .......... .......... .......... .......... .......... 4% 36.7M 0s 100K .......... .......... .......... .......... .......... 6% 19.1M 0s 150K .......... .......... .......... .......... .......... 8% 37.3M 0s 200K .......... .......... .......... .......... .......... 10% 18.9M 0s 250K .......... .......... .......... .......... .......... 12% 2.17M 0s 300K .......... .......... .......... .......... .......... 14% 32.8M 0s 350K .......... .......... .......... .......... .......... 16% 38.0M 0s 400K .......... .......... .......... .......... .......... 18% 37.7M 0s 450K .......... .......... .......... .......... .......... 20% 39.4M 0s 500K .......... .......... .......... .......... .......... 22% 36.3M 0s 550K .......... .......... .......... .......... .......... 24% 37.7M 0s 600K .......... .......... .......... .......... .......... 26% 38.6M 0s 650K .......... .......... .......... .......... .......... 28% 47.4M 0s 700K .......... .......... .......... .......... .......... 30% 147M 0s 750K .......... .......... .......... .......... .......... 32% 38.1M 0s 800K .......... .......... .......... .......... .......... 34% 38.8M 0s 850K .......... .......... .......... .......... .......... 36% 39.4M 0s 900K .......... .......... .......... .......... .......... 38% 643M 0s 950K .......... .......... .......... .......... .......... 40% 38.2M 0s 1000K .......... .......... .......... .......... .......... 42% 39.9M 0s 1050K .......... .......... .......... .......... .......... 44% 486M 0s 1100K .......... .......... .......... .......... .......... 46% 39.2M 0s 1150K .......... .......... .......... .......... .......... 48% 40.4M 0s 1200K .......... .......... .......... .......... .......... 50% 413M 0s 1250K .......... .......... .......... .......... .......... 52% 38.8M 0s 1300K .......... .......... .......... .......... .......... 54% 427M 0s 1350K .......... .......... .......... .......... .......... 56% 39.2M 0s 1400K .......... .......... .......... .......... .......... 58% 624M 0s 1450K .......... .......... .......... .......... .......... 60% 39.7M 0s 1500K .......... .......... .......... .......... .......... 62% 385M 0s 1550K .......... .......... .......... .......... .......... 64% 41.2M 0s 1600K .......... .......... .......... .......... .......... 66% 694M 0s 1650K .......... .......... .......... .......... .......... 68% 40.6M 0s 1700K .......... .......... .......... .......... .......... 70% 594M 0s 1750K .......... .......... .......... .......... .......... 72% 41.3M 0s 1800K .......... .......... .......... .......... .......... 74% 523M 0s 1850K .......... .......... .......... .......... .......... 76% 42.0M 0s 1900K .......... .......... .......... .......... .......... 78% 413M 0s 1950K .......... .......... .......... .......... .......... 80% 707M 0s 2000K .......... .......... .......... .......... .......... 82% 39.4M 0s 2050K .......... .......... .......... .......... .......... 84% 652M 0s 2100K .......... .......... .......... .......... .......... 86% 42.1M 0s 2150K .......... .......... .......... .......... .......... 88% 492M 0s 2200K .......... .......... .......... .......... .......... 90% 723M 0s 2250K .......... .......... .......... .......... .......... 92% 42.3M 0s 2300K .......... .......... .......... .......... .......... 94% 663M 0s 2350K .......... .......... .......... .......... .......... 96% 703M 0s 2400K .......... .......... .......... .......... .......... 98% 41.7M 0s 2450K .......... .......... .......... .......... ...... 100% 593M=0.07s 2023-12-14 18:46:38 (36.5 MB/s) - ‘augeas-1.13.0.tar.gz’ saved [2556010/2556010]