$ git clone -n https://gitee.com/src-anolis-os/libnet.git /var/lib/mock/dist-an23-build-python3.11-370592-71443/root/chroot_tmpdir/scmroot/libnet Cloning into '/var/lib/mock/dist-an23-build-python3.11-370592-71443/root/chroot_tmpdir/scmroot/libnet'... $ git reset --hard c9516f8561aea58d15a594fdfa3c63ae105a24c6 HEAD is now at c9516f8 update to libnet-1.2-6.el9.src.rpm $ wget -O libnet-1.2-repack.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/libnet-1.2-repack.tar.gz.df4071531ad1a711217be1025c8cac7d --2024-03-29 09:37:18-- http://build.openanolis.cn/kojifiles/upstream-source/libnet-1.2-repack.tar.gz.df4071531ad1a711217be1025c8cac7d 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: 3000320 (2.9M) [application/x-gzip] Saving to: ‘libnet-1.2-repack.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 20.5M 0s 50K .......... .......... .......... .......... .......... 3% 41.7M 0s 100K .......... .......... .......... .......... .......... 5% 21.4M 0s 150K .......... .......... .......... .......... .......... 6% 40.6M 0s 200K .......... .......... .......... .......... .......... 8% 777K 1s 250K .......... .......... .......... .......... .......... 10% 41.8M 1s 300K .......... .......... .......... .......... .......... 11% 42.7M 1s 350K .......... .......... .......... .......... .......... 13% 41.2M 0s 400K .......... .......... .......... .......... .......... 15% 43.1M 0s 450K .......... .......... .......... .......... .......... 17% 40.5M 0s 500K .......... .......... .......... .......... .......... 18% 43.7M 0s 550K .......... .......... .......... .......... .......... 20% 41.2M 0s 600K .......... .......... .......... .......... .......... 22% 44.3M 0s 650K .......... .......... .......... .......... .......... 23% 42.2M 0s 700K .......... .......... .......... .......... .......... 25% 42.6M 0s 750K .......... .......... .......... .......... .......... 27% 786M 0s 800K .......... .......... .......... .......... .......... 29% 42.7M 0s 850K .......... .......... .......... .......... .......... 30% 42.0M 0s 900K .......... .......... .......... .......... .......... 32% 42.0M 0s 950K .......... .......... .......... .......... .......... 34% 535M 0s 1000K .......... .......... .......... .......... .......... 35% 45.9M 0s 1050K .......... .......... .......... .......... .......... 37% 43.6M 0s 1100K .......... .......... .......... .......... .......... 39% 387M 0s 1150K .......... .......... .......... .......... .......... 40% 46.7M 0s 1200K .......... .......... .......... .......... .......... 42% 448M 0s 1250K .......... .......... .......... .......... .......... 44% 41.7M 0s 1300K .......... .......... .......... .......... .......... 46% 45.2M 0s 1350K .......... .......... .......... .......... .......... 47% 650M 0s 1400K .......... .......... .......... .......... .......... 49% 44.7M 0s 1450K .......... .......... .......... .......... .......... 51% 547M 0s 1500K .......... .......... .......... .......... .......... 52% 46.5M 0s 1550K .......... .......... .......... .......... .......... 54% 437M 0s 1600K .......... .......... .......... .......... .......... 56% 45.2M 0s 1650K .......... .......... .......... .......... .......... 58% 362M 0s 1700K .......... .......... .......... .......... .......... 59% 677M 0s 1750K .......... .......... .......... .......... .......... 61% 47.3M 0s 1800K .......... .......... .......... .......... .......... 63% 760M 0s 1850K .......... .......... .......... .......... .......... 64% 44.3M 0s 1900K .......... .......... .......... .......... .......... 66% 755M 0s 1950K .......... .......... .......... .......... .......... 68% 45.3M 0s 2000K .......... .......... .......... .......... .......... 69% 592M 0s 2050K .......... .......... .......... .......... .......... 71% 690M 0s 2100K .......... .......... .......... .......... .......... 73% 47.2M 0s 2150K .......... .......... .......... .......... .......... 75% 547M 0s 2200K .......... .......... .......... .......... .......... 76% 50.9M 0s 2250K .......... .......... .......... .......... .......... 78% 251M 0s 2300K .......... .......... .......... .......... .......... 80% 399M 0s 2350K .......... .......... .......... .......... .......... 81% 53.7M 0s 2400K .......... .......... .......... .......... .......... 83% 358M 0s 2450K .......... .......... .......... .......... .......... 85% 702M 0s 2500K .......... .......... .......... .......... .......... 87% 46.8M 0s 2550K .......... .......... .......... .......... .......... 88% 457M 0s 2600K .......... .......... .......... .......... .......... 90% 779M 0s 2650K .......... .......... .......... .......... .......... 92% 49.0M 0s 2700K .......... .......... .......... .......... .......... 93% 566M 0s 2750K .......... .......... .......... .......... .......... 95% 702M 0s 2800K .......... .......... .......... .......... .......... 97% 51.4M 0s 2850K .......... .......... .......... .......... .......... 98% 334M 0s 2900K .......... .......... .......... 100% 647M=0.1s 2024-03-29 09:37:18 (26.9 MB/s) - ‘libnet-1.2-repack.tar.gz’ saved [3000320/3000320]