$ git clone -n https://gitee.com/src-anolis-os/augeas.git /var/lib/mock/dist-an8.6-build-182532-60012/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.6-build-182532-60012/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 --2022-12-16 10:11:55-- http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.13.0.tar.gz.dbcbdac92c8beeb9e60ab577cb2dbc66 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.231, 8.141.190.230, 8.141.190.229, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.231|: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% 1.51M 2s 50K .......... .......... .......... .......... .......... 4% 2.90M 1s 100K .......... .......... .......... .......... .......... 6% 6.38M 1s 150K .......... .......... .......... .......... .......... 8% 4.72M 1s 200K .......... .......... .......... .......... .......... 10% 411M 1s 250K .......... .......... .......... .......... .......... 12% 649M 0s 300K .......... .......... .......... .......... .......... 14% 3.06M 1s 350K .......... .......... .......... .......... .......... 16% 38.0M 0s 400K .......... .......... .......... .......... .......... 18% 446M 0s 450K .......... .......... .......... .......... .......... 20% 671M 0s 500K .......... .......... .......... .......... .......... 22% 7.49M 0s 550K .......... .......... .......... .......... .......... 24% 273M 0s 600K .......... .......... .......... .......... .......... 26% 718M 0s 650K .......... .......... .......... .......... .......... 28% 5.57M 0s 700K .......... .......... .......... .......... .......... 30% 126M 0s 750K .......... .......... .......... .......... .......... 32% 168M 0s 800K .......... .......... .......... .......... .......... 34% 211M 0s 850K .......... .......... .......... .......... .......... 36% 47.1M 0s 900K .......... .......... .......... .......... .......... 38% 377M 0s 950K .......... .......... .......... .......... .......... 40% 470M 0s 1000K .......... .......... .......... .......... .......... 42% 573M 0s 1050K .......... .......... .......... .......... .......... 44% 549M 0s 1100K .......... .......... .......... .......... .......... 46% 7.37M 0s 1150K .......... .......... .......... .......... .......... 48% 394M 0s 1200K .......... .......... .......... .......... .......... 50% 360M 0s 1250K .......... .......... .......... .......... .......... 52% 559M 0s 1300K .......... .......... .......... .......... .......... 54% 6.11M 0s 1350K .......... .......... .......... .......... .......... 56% 396M 0s 1400K .......... .......... .......... .......... .......... 58% 63.4M 0s 1450K .......... .......... .......... .......... .......... 60% 285M 0s 1500K .......... .......... .......... .......... .......... 62% 40.4M 0s 1550K .......... .......... .......... .......... .......... 64% 459M 0s 1600K .......... .......... .......... .......... .......... 66% 187M 0s 1650K .......... .......... .......... .......... .......... 68% 567M 0s 1700K .......... .......... .......... .......... .......... 70% 641M 0s 1750K .......... .......... .......... .......... .......... 72% 420M 0s 1800K .......... .......... .......... .......... .......... 74% 7.92M 0s 1850K .......... .......... .......... .......... .......... 76% 407M 0s 1900K .......... .......... .......... .......... .......... 78% 718M 0s 1950K .......... .......... .......... .......... .......... 80% 222M 0s 2000K .......... .......... .......... .......... .......... 82% 40.1M 0s 2050K .......... .......... .......... .......... .......... 84% 290M 0s 2100K .......... .......... .......... .......... .......... 86% 435M 0s 2150K .......... .......... .......... .......... .......... 88% 734M 0s 2200K .......... .......... .......... .......... .......... 90% 763M 0s 2250K .......... .......... .......... .......... .......... 92% 687M 0s 2300K .......... .......... .......... .......... .......... 94% 790M 0s 2350K .......... .......... .......... .......... .......... 96% 5.65M 0s 2400K .......... .......... .......... .......... .......... 98% 577M 0s 2450K .......... .......... .......... .......... ...... 100% 678M=0.1s 2022-12-16 10:11:55 (17.7 MB/s) - ‘augeas-1.13.0.tar.gz’ saved [2556010/2556010]