$ git clone -n https://gitee.com/renbo02/augeas.git /var/lib/mock/dist-an8.6-build-98655-45576/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.6-build-98655-45576/root/chroot_tmpdir/scmroot/augeas'... $ git reset --hard 64a01f9baac22af0fa6cca61ca7010f2b12e2c55 HEAD is now at 64a01f9 spec: add doc sub package $ wget -O augeas-1.12.0.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.12.0.tar.gz.74f1c7b8550f4e728486091f6b907175 --2022-07-16 15:56:12-- http://build.openanolis.cn/kojifiles/upstream-source/augeas-1.12.0.tar.gz.74f1c7b8550f4e728486091f6b907175 Resolving build.openanolis.cn (build.openanolis.cn)... 220.181.135.230, 220.181.135.228, 220.181.135.226, ... Connecting to build.openanolis.cn (build.openanolis.cn)|220.181.135.230|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 2429279 (2.3M) [application/x-gzip] Saving to: ‘augeas-1.12.0.tar.gz’ 0K .......... .......... .......... .......... .......... 2% 1.34M 2s 50K .......... .......... .......... .......... .......... 4% 2.58M 1s 100K .......... .......... .......... .......... .......... 6% 222M 1s 150K .......... .......... .......... .......... .......... 8% 13.7M 1s 200K .......... .......... .......... .......... .......... 10% 2.92M 1s 250K .......... .......... .......... .......... .......... 12% 207M 1s 300K .......... .......... .......... .......... .......... 14% 12.1M 0s 350K .......... .......... .......... .......... .......... 16% 327M 0s 400K .......... .......... .......... .......... .......... 18% 4.19M 0s 450K .......... .......... .......... .......... .......... 21% 33.7M 0s 500K .......... .......... .......... .......... .......... 23% 105M 0s 550K .......... .......... .......... .......... .......... 25% 15.2M 0s 600K .......... .......... .......... .......... .......... 27% 85.9M 0s 650K .......... .......... .......... .......... .......... 29% 15.4M 0s 700K .......... .......... .......... .......... .......... 31% 125M 0s 750K .......... .......... .......... .......... .......... 33% 19.5M 0s 800K .......... .......... .......... .......... .......... 35% 37.5M 0s 850K .......... .......... .......... .......... .......... 37% 9.15M 0s 900K .......... .......... .......... .......... .......... 40% 53.3M 0s 950K .......... .......... .......... .......... .......... 42% 65.0M 0s 1000K .......... .......... .......... .......... .......... 44% 16.5M 0s 1050K .......... .......... .......... .......... .......... 46% 64.4M 0s 1100K .......... .......... .......... .......... .......... 48% 308M 0s 1150K .......... .......... .......... .......... .......... 50% 15.6M 0s 1200K .......... .......... .......... .......... .......... 52% 71.6M 0s 1250K .......... .......... .......... .......... .......... 54% 51.3M 0s 1300K .......... .......... .......... .......... .......... 56% 18.4M 0s 1350K .......... .......... .......... .......... .......... 59% 171M 0s 1400K .......... .......... .......... .......... .......... 61% 55.4M 0s 1450K .......... .......... .......... .......... .......... 63% 18.2M 0s 1500K .......... .......... .......... .......... .......... 65% 62.5M 0s 1550K .......... .......... .......... .......... .......... 67% 415M 0s 1600K .......... .......... .......... .......... .......... 69% 17.7M 0s 1650K .......... .......... .......... .......... .......... 71% 52.8M 0s 1700K .......... .......... .......... .......... .......... 73% 41.6M 0s 1750K .......... .......... .......... .......... .......... 75% 155M 0s 1800K .......... .......... .......... .......... .......... 77% 22.2M 0s 1850K .......... .......... .......... .......... .......... 80% 47.1M 0s 1900K .......... .......... .......... .......... .......... 82% 133M 0s 1950K .......... .......... .......... .......... .......... 84% 78.7M 0s 2000K .......... .......... .......... .......... .......... 86% 27.5M 0s 2050K .......... .......... .......... .......... .......... 88% 42.6M 0s 2100K .......... .......... .......... .......... .......... 90% 112M 0s 2150K .......... .......... .......... .......... .......... 92% 24.7M 0s 2200K .......... .......... .......... .......... .......... 94% 220M 0s 2250K .......... .......... .......... .......... .......... 96% 38.1M 0s 2300K .......... .......... .......... .......... .......... 99% 98.7M 0s 2350K .......... .......... .. 100% 104M=0.1s 2022-07-16 15:56:13 (16.0 MB/s) - ‘augeas-1.12.0.tar.gz’ saved [2429279/2429279]