$ git clone -n https://gitee.com/src-anolis-os/augeas.git /var/lib/mock/dist-an8.10-build-489136-74436/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.10-build-489136-74436/root/chroot_tmpdir/scmroot/augeas'... $ git fetch origin 36af5358ff3f621c963cc67983cab43e12174860:KOJI_FETCH_HEAD From https://gitee.com/src-anolis-os/augeas * [new ref] 36af5358ff3f621c963cc67983cab43e12174860 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at 36af535 [BUG]update to augeas-1.14.1-3 $ wget -O augeas-1.14.1.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.14.1.tar.gz.ac31216268b4b64809afd3a25f2515e5 --2025-11-26 17:07:15-- http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.14.1.tar.gz.ac31216268b4b64809afd3a25f2515e5 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: 2653776 (2.5M) [application/x-gzip] Saving to: ‘augeas-1.14.1.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 17.1M 0s 50K .......... .......... .......... .......... .......... 3% 33.2M 0s 100K .......... .......... .......... .......... .......... 5% 17.1M 0s 150K .......... .......... .......... .......... .......... 7% 33.3M 0s 200K .......... .......... .......... .......... .......... 9% 3.28M 0s 250K .......... .......... .......... .......... .......... 11% 33.0M 0s 300K .......... .......... .......... .......... .......... 13% 33.1M 0s 350K .......... .......... .......... .......... .......... 15% 34.8M 0s 400K .......... .......... .......... .......... .......... 17% 33.2M 0s 450K .......... .......... .......... .......... .......... 19% 35.0M 0s 500K .......... .......... .......... .......... .......... 21% 33.0M 0s 550K .......... .......... .......... .......... .......... 23% 35.1M 0s 600K .......... .......... .......... .......... .......... 25% 33.8M 0s 650K .......... .......... .......... .......... .......... 27% 33.8M 0s 700K .......... .......... .......... .......... .......... 28% 35.5M 0s 750K .......... .......... .......... .......... .......... 30% 509M 0s 800K .......... .......... .......... .......... .......... 32% 34.9M 0s 850K .......... .......... .......... .......... .......... 34% 35.1M 0s 900K .......... .......... .......... .......... .......... 36% 35.3M 0s 950K .......... .......... .......... .......... .......... 38% 470M 0s 1000K .......... .......... .......... .......... .......... 40% 35.3M 0s 1050K .......... .......... .......... .......... .......... 42% 35.6M 0s 1100K .......... .......... .......... .......... .......... 44% 368M 0s 1150K .......... .......... .......... .......... .......... 46% 35.9M 0s 1200K .......... .......... .......... .......... .......... 48% 632M 0s 1250K .......... .......... .......... .......... .......... 50% 102K 1s 1300K .......... .......... .......... .......... .......... 52% 34.4M 0s 1350K .......... .......... .......... .......... .......... 54% 35.0M 0s 1400K .......... .......... .......... .......... .......... 55% 560M 0s 1450K .......... .......... .......... .......... .......... 57% 35.1M 0s 1500K .......... .......... .......... .......... .......... 59% 34.5M 0s 1550K .......... .......... .......... .......... .......... 61% 754M 0s 1600K .......... .......... .......... .......... .......... 63% 34.9M 0s 1650K .......... .......... .......... .......... .......... 65% 35.4M 0s 1700K .......... .......... .......... .......... .......... 67% 723M 0s 1750K .......... .......... .......... .......... .......... 69% 34.9M 0s 1800K .......... .......... .......... .......... .......... 71% 791M 0s 1850K .......... .......... .......... .......... .......... 73% 35.7M 0s 1900K .......... .......... .......... .......... .......... 75% 769M 0s 1950K .......... .......... .......... .......... .......... 77% 35.4M 0s 2000K .......... .......... .......... .......... .......... 79% 761M 0s 2050K .......... .......... .......... .......... .......... 81% 35.1M 0s 2100K .......... .......... .......... .......... .......... 82% 535M 0s 2150K .......... .......... .......... .......... .......... 84% 36.9M 0s 2200K .......... .......... .......... .......... .......... 86% 639M 0s 2250K .......... .......... .......... .......... .......... 88% 36.2M 0s 2300K .......... .......... .......... .......... .......... 90% 2.00M 0s 2350K .......... .......... .......... .......... .......... 92% 540M 0s 2400K .......... .......... .......... .......... .......... 94% 37.5M 0s 2450K .......... .......... .......... .......... .......... 96% 710M 0s 2500K .......... .......... .......... .......... .......... 98% 37.2M 0s 2550K .......... .......... .......... .......... . 100% 427M=0.6s 2025-11-26 17:07:16 (4.37 MB/s) - ‘augeas-1.14.1.tar.gz’ saved [2653776/2653776]