$ git clone -n https://gitee.com/zhaohang_mskdxl/augeas.git /var/lib/mock/dist-an8.8-build-333445-69617/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.8-build-333445-69617/root/chroot_tmpdir/scmroot/augeas'... $ git reset --hard cf6170342b591e22c83e143451792c37ad1ecdab 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 --2023-12-05 14:14:09-- 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% 21.7M 0s 50K .......... .......... .......... .......... .......... 4% 42.4M 0s 100K .......... .......... .......... .......... .......... 6% 21.7M 0s 150K .......... .......... .......... .......... .......... 8% 42.9M 0s 200K .......... .......... .......... .......... .......... 10% 22.1M 0s 250K .......... .......... .......... .......... .......... 12% 632K 1s 300K .......... .......... .......... .......... .......... 14% 42.4M 1s 350K .......... .......... .......... .......... .......... 16% 43.5M 0s 400K .......... .......... .......... .......... .......... 18% 42.2M 0s 450K .......... .......... .......... .......... .......... 20% 43.5M 0s 500K .......... .......... .......... .......... .......... 22% 43.0M 0s 550K .......... .......... .......... .......... .......... 24% 43.7M 0s 600K .......... .......... .......... .......... .......... 26% 42.5M 0s 650K .......... .......... .......... .......... .......... 28% 45.0M 0s 700K .......... .......... .......... .......... .......... 30% 44.1M 0s 750K .......... .......... .......... .......... .......... 32% 604M 0s 800K .......... .......... .......... .......... .......... 34% 43.2M 0s 850K .......... .......... .......... .......... .......... 36% 44.7M 0s 900K .......... .......... .......... .......... .......... 38% 48.2M 0s 950K .......... .......... .......... .......... .......... 40% 284M 0s 1000K .......... .......... .......... .......... .......... 42% 43.5M 0s 1050K .......... .......... .......... .......... .......... 44% 45.7M 0s 1100K .......... .......... .......... .......... .......... 46% 568M 0s 1150K .......... .......... .......... .......... .......... 48% 45.0M 0s 1200K .......... .......... .......... .......... .......... 50% 624M 0s 1250K .......... .......... .......... .......... .......... 52% 43.2M 0s 1300K .......... .......... .......... .......... .......... 54% 404M 0s 1350K .......... .......... .......... .......... .......... 56% 49.6M 0s 1400K .......... .......... .......... .......... .......... 58% 47.3M 0s 1450K .......... .......... .......... .......... .......... 60% 443M 0s 1500K .......... .......... .......... .......... .......... 62% 47.2M 0s 1550K .......... .......... .......... .......... .......... 64% 432M 0s 1600K .......... .......... .......... .......... .......... 66% 48.0M 0s 1650K .......... .......... .......... .......... .......... 68% 646M 0s 1700K .......... .......... .......... .......... .......... 70% 554M 0s 1750K .......... .......... .......... .......... .......... 72% 44.9M 0s 1800K .......... .......... .......... .......... .......... 74% 735M 0s 1850K .......... .......... .......... .......... .......... 76% 47.3M 0s 1900K .......... .......... .......... .......... .......... 78% 373M 0s 1950K .......... .......... .......... .......... .......... 80% 51.3M 0s 2000K .......... .......... .......... .......... .......... 82% 271M 0s 2050K .......... .......... .......... .......... .......... 84% 737M 0s 2100K .......... .......... .......... .......... .......... 86% 47.9M 0s 2150K .......... .......... .......... .......... .......... 88% 511M 0s 2200K .......... .......... .......... .......... .......... 90% 58.7M 0s 2250K .......... .......... .......... .......... .......... 92% 195M 0s 2300K .......... .......... .......... .......... .......... 94% 572M 0s 2350K .......... .......... .......... .......... .......... 96% 52.6M 0s 2400K .......... .......... .......... .......... .......... 98% 315M 0s 2450K .......... .......... .......... .......... ...... 100% 797M=0.1s 2023-12-05 14:14:09 (20.7 MB/s) - ‘augeas-1.13.0.tar.gz’ saved [2556010/2556010]