$ git clone -n https://gitee.com/src-anolis-os/git-lfs.git /var/lib/mock/dist-an8.10-build-537096-82640/root/chroot_tmpdir/scmroot/git-lfs Cloning into '/var/lib/mock/dist-an8.10-build-537096-82640/root/chroot_tmpdir/scmroot/git-lfs'... $ git fetch origin 67c28da7431e4c641c4a0575c3229e24c738d44e:KOJI_FETCH_HEAD From https://gitee.com/src-anolis-os/git-lfs * [new ref] 67c28da7431e4c641c4a0575c3229e24c738d44e -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at 67c28da spec: support loongarch build $ wget -O manpages.tgz http://build.openanolis.cn/kojifiles/upstream-source/manpages.tgz.ba4a3a9bbd199e086682550c975507e0 --2026-05-15 14:00:02-- http://build.openanolis.cn/kojifiles/upstream-source/manpages.tgz.ba4a3a9bbd199e086682550c975507e0 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: 38117 (37K) [application/x-gzip] Saving to: ‘manpages.tgz’ 0K .......... .......... .......... ....... 100% 24.2M=0.001s 2026-05-15 14:00:02 (24.2 MB/s) - ‘manpages.tgz’ saved [38117/38117] $ wget -O git-lfs-v3.4.1.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/git-lfs-v3.4.1.tar.gz.46a67751b99f57828f3f084483700a77 --2026-05-15 14:00:04-- http://build.openanolis.cn/kojifiles/upstream-source/git-lfs-v3.4.1.tar.gz.46a67751b99f57828f3f084483700a77 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: 3592684 (3.4M) [application/x-gzip] Saving to: ‘git-lfs-v3.4.1.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 19.1M 0s 50K .......... .......... .......... .......... .......... 2% 32.5M 0s 100K .......... .......... .......... .......... .......... 4% 20.5M 0s 150K .......... .......... .......... .......... .......... 5% 33.3M 0s 200K .......... .......... .......... .......... .......... 7% 4.03M 0s 250K .......... .......... .......... .......... .......... 8% 20.3M 0s 300K .......... .......... .......... .......... .......... 9% 32.0M 0s 350K .......... .......... .......... .......... .......... 11% 37.4M 0s 400K .......... .......... .......... .......... .......... 12% 34.8M 0s 450K .......... .......... .......... .......... .......... 14% 38.4M 0s 500K .......... .......... .......... .......... .......... 15% 33.6M 0s 550K .......... .......... .......... .......... .......... 17% 47.8M 0s 600K 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.......... 37% 53.5M 0s 1300K .......... .......... .......... .......... .......... 38% 63.3M 0s 1350K .......... .......... .......... .......... .......... 39% 39.0M 0s 1400K .......... .......... .......... .......... .......... 41% 71.6M 0s 1450K .......... .......... .......... .......... .......... 42% 77.0M 0s 1500K .......... .......... .......... .......... .......... 44% 70.7M 0s 1550K .......... .......... .......... .......... .......... 45% 50.3M 0s 1600K .......... .......... .......... .......... .......... 47% 189M 0s 1650K .......... .......... .......... .......... .......... 48% 50.3M 0s 1700K .......... .......... .......... .......... .......... 49% 149M 0s 1750K .......... .......... .......... .......... .......... 51% 87.4M 0s 1800K .......... .......... .......... .......... .......... 52% 44.8M 0s 1850K .......... .......... .......... .......... .......... 54% 114M 0s 1900K .......... .......... .......... .......... .......... 55% 61.5M 0s 1950K .......... 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75% 80.0M 0s 2650K .......... .......... .......... .......... .......... 76% 67.6M 0s 2700K .......... .......... .......... .......... .......... 78% 136M 0s 2750K .......... .......... .......... .......... .......... 79% 14.2M 0s 2800K .......... .......... .......... .......... .......... 81% 499M 0s 2850K .......... .......... .......... .......... .......... 82% 567M 0s 2900K .......... .......... .......... .......... .......... 84% 43.5M 0s 2950K .......... .......... .......... .......... .......... 85% 99.4M 0s 3000K .......... .......... .......... .......... .......... 86% 675M 0s 3050K .......... .......... .......... .......... .......... 88% 88.2M 0s 3100K .......... .......... .......... .......... .......... 89% 65.1M 0s 3150K .......... .......... .......... .......... .......... 91% 7.34M 0s 3200K .......... .......... .......... .......... .......... 92% 466M 0s 3250K .......... .......... .......... .......... .......... 94% 613M 0s 3300K .......... .......... .......... .......... .......... 95% 549M 0s 3350K .......... .......... .......... .......... .......... 96% 47.2M 0s 3400K .......... .......... .......... .......... .......... 98% 91.8M 0s 3450K .......... .......... .......... .......... .......... 99% 93.3M 0s 3500K ........ 100% 484M=0.08s 2026-05-15 14:00:04 (40.9 MB/s) - ‘git-lfs-v3.4.1.tar.gz’ saved [3592684/3592684]