$ git clone -n https://gitee.com/src-anolis-os/augeas.git /var/lib/mock/dist-an8.7-build-178340-59119/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.7-build-178340-59119/root/chroot_tmpdir/scmroot/augeas'... $ git reset --hard origin/a8-poc HEAD is now at 8910fb5 update to augeas-1.13.0-3.el9.src.rpm $ wget -O augeas-1.13.0.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.13.0.tar.gz.dbcbdac92c8beeb9e60ab577cb2dbc66 --2022-12-12 13:11:15-- http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.13.0.tar.gz.dbcbdac92c8beeb9e60ab577cb2dbc66 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.227, 8.141.190.231, 8.141.190.230, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.227|: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% 894K 3s 50K .......... .......... .......... .......... .......... 4% 869K 3s 100K .......... .......... .......... .......... .......... 6% 1.30M 2s 150K .......... .......... .......... .......... .......... 8% 504K 3s 200K .......... .......... .......... .......... .......... 10% 910K 3s 250K .......... .......... .......... .......... .......... 12% 572K 3s 300K .......... .......... .......... .......... .......... 14% 869K 3s 350K .......... .......... .......... .......... .......... 16% 661K 3s 400K .......... .......... .......... .......... .......... 18% 875K 3s 450K .......... .......... .......... .......... .......... 20% 717K 3s 500K .......... .......... .......... .......... .......... 22% 661K 3s 550K .......... .......... .......... .......... .......... 24% 629K 3s 600K .......... .......... .......... .......... .......... 26% 685K 3s 650K .......... .......... .......... .......... .......... 28% 661K 2s 700K .......... .......... .......... .......... .......... 30% 656K 2s 750K .......... .......... .......... .......... .......... 32% 656K 2s 800K .......... .......... .......... .......... .......... 34% 879K 2s 850K .......... .......... .......... .......... .......... 36% 653K 2s 900K .......... .......... .......... .......... .......... 38% 1.25M 2s 950K .......... .......... .......... .......... .......... 40% 1.24M 2s 1000K .......... .......... .......... .......... .......... 42% 916K 2s 1050K .......... .......... .......... .......... .......... 44% 886K 2s 1100K .......... .......... .......... .......... .......... 46% 866K 2s 1150K .......... .......... .......... .......... .......... 48% 1.21M 2s 1200K .......... .......... .......... .......... .......... 50% 882K 2s 1250K .......... .......... .......... .......... .......... 52% 1.23M 1s 1300K .......... .......... .......... .......... .......... 54% 958K 1s 1350K .......... .......... .......... .......... .......... 56% 1.22M 1s 1400K .......... .......... .......... .......... .......... 58% 1.29M 1s 1450K .......... .......... .......... .......... .......... 60% 1.38M 1s 1500K .......... .......... .......... .......... .......... 62% 1.99M 1s 1550K .......... .......... .......... .......... .......... 64% 1.30M 1s 1600K .......... .......... .......... .......... .......... 66% 883K 1s 1650K .......... .......... .......... .......... .......... 68% 1.29M 1s 1700K .......... .......... .......... .......... .......... 70% 873K 1s 1750K .......... .......... .......... .......... .......... 72% 1.26M 1s 1800K .......... .......... .......... .......... .......... 74% 891K 1s 1850K .......... .......... .......... .......... .......... 76% 776K 1s 1900K .......... .......... .......... .......... .......... 78% 1010K 1s 1950K .......... .......... .......... .......... .......... 80% 1.29M 1s 2000K .......... .......... .......... .......... .......... 82% 1.24M 0s 2050K .......... .......... .......... .......... .......... 84% 1.31M 0s 2100K .......... .......... .......... .......... .......... 86% 1.30M 0s 2150K .......... .......... .......... .......... .......... 88% 1.32M 0s 2200K .......... .......... .......... .......... .......... 90% 2.33M 0s 2250K .......... .......... .......... .......... .......... 92% 659K 0s 2300K .......... .......... .......... .......... .......... 94% 2.61M 0s 2350K .......... .......... .......... .......... .......... 96% 871K 0s 2400K .......... .......... .......... .......... .......... 98% 791K 0s 2450K .......... .......... .......... .......... ...... 100% 890K=2.7s 2022-12-12 13:11:18 (927 KB/s) - ‘augeas-1.13.0.tar.gz’ saved [2556010/2556010]