$ git clone -n https://gitee.com/src-anolis-os/augeas.git /var/lib/mock/dist-an8.7-build-236653-62522/root/chroot_tmpdir/scmroot/augeas Cloning into '/var/lib/mock/dist-an8.7-build-236653-62522/root/chroot_tmpdir/scmroot/augeas'... $ git reset --hard 8910fb597d8b2be408773a1eef518a1cef8ed3c2 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 --2023-03-24 16:22:07-- 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% 187M 0s 50K .......... .......... .......... .......... .......... 4% 381M 0s 100K .......... .......... .......... .......... .......... 6% 424M 0s 150K .......... .......... .......... .......... .......... 8% 454M 0s 200K .......... .......... .......... .......... .......... 10% 400M 0s 250K .......... .......... .......... .......... .......... 12% 755K 0s 300K .......... .......... .......... .......... .......... 14% 401M 0s 350K .......... .......... .......... .......... .......... 16% 395M 0s 400K .......... .......... .......... .......... .......... 18% 405M 0s 450K .......... .......... .......... .......... .......... 20% 441M 0s 500K .......... .......... .......... .......... .......... 22% 453M 0s 550K .......... .......... .......... .......... .......... 24% 467M 0s 600K .......... .......... .......... .......... .......... 26% 391M 0s 650K .......... .......... .......... .......... .......... 28% 436M 0s 700K .......... .......... .......... .......... .......... 30% 448M 0s 750K .......... .......... .......... .......... .......... 32% 409M 0s 800K .......... .......... .......... .......... .......... 34% 357M 0s 850K .......... .......... .......... .......... .......... 36% 461M 0s 900K .......... .......... .......... .......... .......... 38% 458M 0s 950K .......... .......... .......... .......... .......... 40% 441M 0s 1000K .......... .......... .......... .......... .......... 42% 396M 0s 1050K .......... .......... .......... .......... .......... 44% 448M 0s 1100K .......... .......... .......... .......... .......... 46% 454M 0s 1150K .......... .......... .......... .......... .......... 48% 452M 0s 1200K .......... .......... .......... .......... .......... 50% 1.14M 0s 1250K .......... .......... .......... .......... .......... 52% 286M 0s 1300K .......... .......... .......... .......... .......... 54% 376M 0s 1350K .......... .......... .......... .......... .......... 56% 364M 0s 1400K .......... .......... .......... .......... .......... 58% 430M 0s 1450K .......... .......... .......... .......... .......... 60% 438M 0s 1500K .......... .......... .......... .......... .......... 62% 381M 0s 1550K .......... .......... .......... .......... .......... 64% 430M 0s 1600K .......... .......... .......... .......... .......... 66% 439M 0s 1650K .......... .......... .......... .......... .......... 68% 445M 0s 1700K .......... .......... .......... .......... .......... 70% 392M 0s 1750K .......... .......... .......... .......... .......... 72% 425M 0s 1800K .......... .......... .......... .......... .......... 74% 399M 0s 1850K .......... .......... .......... .......... .......... 76% 469M 0s 1900K .......... .......... .......... .......... .......... 78% 409M 0s 1950K .......... .......... .......... .......... .......... 80% 458M 0s 2000K .......... .......... .......... .......... .......... 82% 470M 0s 2050K .......... .......... .......... .......... .......... 84% 456M 0s 2100K .......... .......... .......... .......... .......... 86% 392M 0s 2150K .......... .......... .......... .......... .......... 88% 452M 0s 2200K .......... .......... .......... .......... .......... 90% 423M 0s 2250K .......... .......... .......... .......... .......... 92% 400M 0s 2300K .......... .......... .......... .......... .......... 94% 395M 0s 2350K .......... .......... .......... .......... .......... 96% 447M 0s 2400K .......... .......... .......... .......... .......... 98% 444M 0s 2450K .......... .......... .......... .......... ...... 100% 421M=0.1s 2023-03-24 16:22:07 (21.3 MB/s) - ‘augeas-1.13.0.tar.gz’ saved [2556010/2556010]