$ git clone -n https://gitee.com/sys0613/libnma.git /var/lib/mock/dist-an23-build-275447-64294/root/chroot_tmpdir/scmroot/libnma Cloning into '/var/lib/mock/dist-an23-build-275447-64294/root/chroot_tmpdir/scmroot/libnma'... $ git fetch origin b55ec5b0043b828c17c5f14e4ccb37ffdbe9398f:KOJI_FETCH_HEAD From https://gitee.com/sys0613/libnma * [new ref] b55ec5b0043b828c17c5f14e4ccb37ffdbe9398f -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at b55ec5b Add doc sub package $ wget -O libnma-1.8.38.tar.xz http://build.openanolis.cn/kojifiles/upstream-source/libnma-1.8.38.tar.xz.0cebdf77d349bca1d64574aac1ee17cb --2023-06-16 15:31:24-- http://build.openanolis.cn/kojifiles/upstream-source/libnma-1.8.38.tar.xz.0cebdf77d349bca1d64574aac1ee17cb Resolving build.openanolis.cn (build.openanolis.cn)... 8.131.87.1 Connecting to build.openanolis.cn (build.openanolis.cn)|8.131.87.1|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 1347004 (1.3M) [application/x-xz] Saving to: ‘libnma-1.8.38.tar.xz’ 0K .......... .......... .......... .......... .......... 3% 2.76M 0s 50K .......... .......... .......... .......... .......... 7% 5.81M 0s 100K .......... .......... .......... .......... .......... 11% 32.3M 0s 150K .......... .......... .......... .......... .......... 15% 42.6M 0s 200K .......... .......... .......... .......... .......... 19% 5.55M 0s 250K .......... .......... .......... .......... .......... 22% 137M 0s 300K .......... .......... .......... .......... .......... 26% 46.3M 0s 350K .......... .......... .......... .......... .......... 30% 5.78M 0s 400K .......... .......... .......... .......... .......... 34% 94.7M 0s 450K .......... .......... .......... .......... .......... 38% 65.1M 0s 500K .......... .......... .......... .......... .......... 41% 74.1M 0s 550K .......... .......... .......... .......... .......... 45% 5.63M 0s 600K .......... .......... .......... .......... .......... 49% 114M 0s 650K .......... .......... .......... .......... .......... 53% 141M 0s 700K .......... .......... .......... .......... .......... 57% 60.5M 0s 750K .......... .......... .......... .......... .......... 60% 5.57M 0s 800K .......... .......... .......... .......... .......... 64% 105M 0s 850K .......... .......... .......... .......... .......... 68% 84.4M 0s 900K .......... .......... .......... .......... .......... 72% 35.3M 0s 950K .......... .......... .......... .......... .......... 76% 5.52M 0s 1000K .......... .......... .......... .......... .......... 79% 73.8M 0s 1050K .......... .......... .......... .......... .......... 83% 134M 0s 1100K .......... .......... .......... .......... .......... 87% 74.7M 0s 1150K .......... .......... .......... .......... .......... 91% 6.28M 0s 1200K .......... .......... .......... .......... .......... 95% 41.3M 0s 1250K .......... .......... .......... .......... .......... 98% 61.9M 0s 1300K .......... ..... 100% 604M=0.09s 2023-06-16 15:31:24 (14.1 MB/s) - ‘libnma-1.8.38.tar.xz’ saved [1347004/1347004]