$ git clone -n https://gitee.com/src-anolis-os/libfabric.git /var/lib/mock/dist-an27-pre-build-548823-87741/root/chroot_tmpdir/scmroot/libfabric Cloning into '/var/lib/mock/dist-an27-pre-build-548823-87741/root/chroot_tmpdir/scmroot/libfabric'... $ git reset --hard c394eda555c1712ad747d6ed1e6ffc4d9a648a76 HEAD is now at c394eda fix(libfabric): Update libfabric spec for build and packaging improvements $ wget -O libfabric-2.3.1.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/libfabric-2.3.1.tar.bz2.ed8c0a63c817fb62b4cf84be9199a232 --2026-07-13 10:50:12-- http://build.openanolis.cn/kojifiles/upstream-source/libfabric-2.3.1.tar.bz2.ed8c0a63c817fb62b4cf84be9199a232 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: 3045499 (2.9M) [application/x-bzip2] Saving to: ‘libfabric-2.3.1.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 130M 0s 50K .......... .......... .......... .......... .......... 3% 126M 0s 100K .......... .......... .......... .......... .......... 5% 92.9M 0s 150K .......... .......... .......... .......... .......... 6% 135M 0s 200K .......... .......... .......... .......... .......... 8% 3.36M 0s 250K .......... .......... .......... .......... .......... 10% 82.4M 0s 300K .......... .......... .......... .......... .......... 11% 92.2M 0s 350K .......... .......... .......... .......... .......... 13% 76.0M 0s 400K .......... .......... .......... .......... .......... 15% 118M 0s 450K .......... .......... .......... .......... .......... 16% 86.5M 0s 500K .......... .......... .......... .......... .......... 18% 66.6M 0s 550K .......... .......... .......... .......... .......... 20% 123M 0s 600K .......... .......... .......... .......... .......... 21% 78.7M 0s 650K .......... .......... .......... .......... .......... 23% 148M 0s 700K .......... .......... .......... .......... .......... 25% 58.3M 0s 750K .......... .......... .......... .......... .......... 26% 149M 0s 800K .......... .......... .......... .......... .......... 28% 78.1M 0s 850K .......... .......... .......... .......... .......... 30% 79.9M 0s 900K .......... .......... .......... .......... .......... 31% 118M 0s 950K .......... .......... .......... .......... .......... 33% 77.8M 0s 1000K .......... .......... .......... .......... .......... 35% 73.3M 0s 1050K .......... .......... .......... .......... .......... 36% 71.2M 0s 1100K .......... .......... .......... .......... .......... 38% 125M 0s 1150K .......... .......... .......... .......... .......... 40% 81.9M 0s 1200K .......... .......... .......... .......... .......... 42% 62.7M 0s 1250K .......... .......... .......... .......... .......... 43% 164M 0s 1300K .......... .......... .......... .......... .......... 45% 97.2M 0s 1350K .......... .......... .......... .......... .......... 47% 219M 0s 1400K .......... .......... .......... .......... .......... 48% 53.3M 0s 1450K .......... .......... .......... .......... .......... 50% 129M 0s 1500K .......... .......... .......... .......... .......... 52% 62.6M 0s 1550K .......... .......... .......... .......... .......... 53% 93.2M 0s 1600K .......... .......... .......... .......... .......... 55% 149M 0s 1650K .......... .......... .......... .......... .......... 57% 130M 0s 1700K .......... .......... .......... .......... .......... 58% 87.4M 0s 1750K .......... .......... .......... .......... .......... 60% 55.1M 0s 1800K .......... .......... .......... .......... .......... 62% 102M 0s 1850K .......... .......... .......... .......... .......... 63% 247M 0s 1900K .......... .......... .......... .......... .......... 65% 86.5M 0s 1950K .......... .......... .......... .......... .......... 67% 91.6M 0s 2000K .......... .......... .......... .......... .......... 68% 86.3M 0s 2050K .......... .......... .......... .......... .......... 70% 424M 0s 2100K .......... .......... .......... .......... .......... 72% 94.2M 0s 2150K .......... .......... .......... .......... .......... 73% 76.8M 0s 2200K .......... .......... .......... .......... .......... 75% 73.3M 0s 2250K .......... .......... .......... .......... .......... 77% 124M 0s 2300K .......... .......... .......... .......... .......... 79% 173M 0s 2350K .......... .......... .......... .......... .......... 80% 82.1M 0s 2400K .......... .......... .......... .......... .......... 82% 130M 0s 2450K .......... .......... .......... .......... .......... 84% 92.2M 0s 2500K .......... .......... .......... .......... .......... 85% 108M 0s 2550K .......... .......... .......... .......... .......... 87% 257M 0s 2600K .......... .......... .......... .......... .......... 89% 63.6M 0s 2650K .......... .......... .......... .......... .......... 90% 111M 0s 2700K .......... .......... .......... .......... .......... 92% 84.5M 0s 2750K .......... .......... .......... .......... .......... 94% 437M 0s 2800K .......... .......... .......... .......... .......... 95% 55.1M 0s 2850K .......... .......... .......... .......... .......... 97% 92.7M 0s 2900K .......... .......... .......... .......... .......... 99% 90.7M 0s 2950K .......... .......... .... 100% 423M=0.04s 2026-07-13 10:50:13 (65.5 MB/s) - ‘libfabric-2.3.1.tar.bz2’ saved [3045499/3045499]