$ git clone -n https://gitee.com/src-anolis-os/libjpeg-turbo.git /var/lib/mock/dist-an23-build-python3.11-loongarch64-371229-71488/root/chroot_tmpdir/scmroot/libjpeg-turbo Cloning into '/var/lib/mock/dist-an23-build-python3.11-loongarch64-371229-71488/root/chroot_tmpdir/scmroot/libjpeg-turbo'... $ git fetch origin af9e3743e441f9f70f1a1f676a819d33b0d6f93b:KOJI_FETCH_HEAD From https://gitee.com/src-anolis-os/libjpeg-turbo * [new ref] af9e3743e441f9f70f1a1f676a819d33b0d6f93b -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at af9e374 spec: add doc sub package $ wget -O libjpeg-turbo-2.0.90.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/libjpeg-turbo-2.0.90.tar.gz.cd58fd0524f9a8976ad99f003ee68aff --2024-04-02 11:24:45-- http://build.openanolis.cn/kojifiles/upstream-source/libjpeg-turbo-2.0.90.tar.gz.cd58fd0524f9a8976ad99f003ee68aff 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: 2248705 (2.1M) [application/x-gzip] Saving to: ‘libjpeg-turbo-2.0.90.tar.gz’ 0K .......... .......... .......... .......... .......... 2% 210M 0s 50K .......... .......... .......... .......... .......... 4% 223M 0s 100K .......... .......... .......... .......... .......... 6% 209M 0s 150K .......... .......... .......... .......... .......... 9% 276M 0s 200K .......... .......... .......... .......... .......... 11% 2.90M 0s 250K .......... .......... .......... .......... .......... 13% 254M 0s 300K .......... .......... .......... .......... .......... 15% 321M 0s 350K .......... .......... .......... .......... .......... 18% 320M 0s 400K .......... .......... .......... .......... .......... 20% 297M 0s 450K .......... .......... .......... .......... .......... 22% 367M 0s 500K .......... .......... .......... .......... .......... 25% 344M 0s 550K .......... .......... .......... .......... .......... 27% 310M 0s 600K .......... .......... .......... .......... .......... 29% 389M 0s 650K .......... .......... .......... .......... .......... 31% 325M 0s 700K .......... .......... .......... .......... .......... 34% 347M 0s 750K .......... .......... .......... .......... .......... 36% 503M 0s 800K .......... .......... .......... .......... .......... 38% 371M 0s 850K .......... .......... .......... .......... .......... 40% 500M 0s 900K .......... .......... .......... .......... .......... 43% 182M 0s 950K .......... .......... .......... .......... .......... 45% 606M 0s 1000K .......... .......... .......... .......... .......... 47% 435M 0s 1050K .......... .......... .......... .......... .......... 50% 394M 0s 1100K .......... .......... .......... .......... .......... 52% 528M 0s 1150K .......... .......... .......... .......... .......... 54% 742M 0s 1200K .......... .......... .......... .......... .......... 56% 31.3M 0s 1250K .......... .......... .......... .......... .......... 59% 715M 0s 1300K .......... .......... .......... .......... .......... 61% 414M 0s 1350K .......... .......... .......... .......... .......... 63% 689M 0s 1400K .......... .......... .......... .......... .......... 66% 390M 0s 1450K .......... .......... .......... .......... .......... 68% 384M 0s 1500K .......... .......... .......... .......... .......... 70% 371M 0s 1550K .......... .......... .......... .......... .......... 72% 436M 0s 1600K .......... .......... .......... .......... .......... 75% 330M 0s 1650K .......... .......... .......... .......... .......... 77% 373M 0s 1700K .......... .......... .......... .......... .......... 79% 405M 0s 1750K .......... .......... .......... .......... .......... 81% 388M 0s 1800K .......... .......... .......... .......... .......... 84% 374M 0s 1850K .......... .......... .......... .......... .......... 86% 703M 0s 1900K .......... .......... .......... .......... .......... 88% 676M 0s 1950K .......... .......... .......... .......... .......... 91% 699M 0s 2000K .......... .......... .......... .......... .......... 93% 564M 0s 2050K .......... .......... .......... .......... .......... 95% 712M 0s 2100K .......... .......... .......... .......... .......... 97% 729M 0s 2150K .......... .......... .......... .......... ...... 100% 681M=0.02s 2024-04-02 11:24:45 (90.3 MB/s) - ‘libjpeg-turbo-2.0.90.tar.gz’ saved [2248705/2248705]