$ git clone -n https://gitee.com/src-anolis-os/python-qt5.git /var/lib/mock/dist-an8.6-build-161658-58580/root/chroot_tmpdir/scmroot/python-qt5 Cloning into '/var/lib/mock/dist-an8.6-build-161658-58580/root/chroot_tmpdir/scmroot/python-qt5'... $ git reset --hard 275aecf4f90e92d754a8a1cfe62f04158561c084 HEAD is now at 275aecf update to python-qt5-5.15.0-3.el8 $ wget -O PyQt5-5.15.0.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/PyQt5-5.15.0.tar.gz.451fe0c69aef39ed472ded884eaf94bc --2022-11-14 14:40:53-- http://build.openanolis.cn/kojifiles/upstream-source/PyQt5-5.15.0.tar.gz.451fe0c69aef39ed472ded884eaf94bc Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.227, 8.141.190.231, 8.141.190.224, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.227|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3262004 (3.1M) [application/x-gzip] Saving to: ‘PyQt5-5.15.0.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 1.32M 2s 50K .......... .......... .......... .......... .......... 3% 703K 3s 100K .......... .......... .......... .......... .......... 4% 927K 3s 150K .......... .......... .......... .......... .......... 6% 551K 4s 200K .......... .......... .......... .......... .......... 7% 471K 4s 250K .......... .......... .......... .......... .......... 9% 408K 5s 300K .......... .......... .......... .......... .......... 10% 470K 5s 350K .......... .......... .......... .......... .......... 12% 700K 5s 400K .......... .......... .......... .......... .......... 14% 695K 4s 450K .......... .......... .......... .......... .......... 15% 469K 5s 500K .......... .......... .......... .......... .......... 17% 951K 4s 550K .......... .......... .......... .......... .......... 18% 694K 4s 600K .......... .......... .......... .......... .......... 20% 939K 4s 650K .......... .......... .......... .......... .......... 21% 967K 4s 700K .......... .......... .......... .......... .......... 23% 938K 4s 750K .......... .......... .......... .......... .......... 25% 930K 4s 800K .......... .......... .......... .......... .......... 26% 834K 3s 850K .......... .......... .......... .......... .......... 28% 949K 3s 900K .......... .......... .......... .......... .......... 29% 613K 3s 950K .......... .......... .......... .......... .......... 31% 827K 3s 1000K .......... .......... .......... .......... .......... 32% 617K 3s 1050K .......... .......... .......... .......... .......... 34% 439K 3s 1100K .......... .......... .......... .......... .......... 36% 279K 3s 1150K .......... .......... .......... .......... .......... 37% 147K 4s 1200K .......... .......... .......... .......... .......... 39% 669K 3s 1250K .......... .......... .......... .......... .......... 40% 424K 3s 1300K .......... .......... .......... .......... .......... 42% 475K 3s 1350K .......... .......... .......... .......... .......... 43% 354K 3s 1400K .......... .......... .......... .......... .......... 45% 448K 3s 1450K .......... .......... .......... .......... .......... 47% 303K 3s 1500K .......... .......... .......... .......... .......... 48% 405K 3s 1550K .......... .......... .......... .......... .......... 50% 566K 3s 1600K .......... .......... .......... .......... .......... 51% 709K 3s 1650K .......... .......... .......... .......... .......... 53% 700K 3s 1700K .......... .......... .......... .......... .......... 54% 393K 3s 1750K .......... .......... .......... .......... .......... 56% 401K 3s 1800K .......... .......... .......... .......... .......... 58% 405K 3s 1850K .......... .......... .......... .......... .......... 59% 315K 3s 1900K .......... .......... .......... .......... .......... 61% 404K 2s 1950K .......... .......... .......... .......... .......... 62% 280K 2s 2000K .......... .......... .......... .......... .......... 64% 256K 2s 2050K .......... .......... .......... .......... .......... 65% 240K 2s 2100K .......... .......... .......... .......... .......... 67% 253K 2s 2150K .......... .......... .......... .......... .......... 69% 120K 2s 2200K .......... .......... .......... .......... .......... 70% 246K 2s 2250K .......... .......... .......... .......... .......... 72% 283K 2s 2300K .......... .......... .......... .......... .......... 73% 406K 2s 2350K .......... .......... .......... .......... .......... 75% 247K 2s 2400K .......... .......... .......... .......... .......... 76% 252K 2s 2450K .......... .......... .......... .......... .......... 78% 352K 2s 2500K .......... .......... .......... .......... .......... 80% 383K 2s 2550K .......... .......... .......... .......... .......... 81% 401K 1s 2600K .......... .......... .......... .......... .......... 83% 557K 1s 2650K .......... .......... .......... .......... .......... 84% 472K 1s 2700K .......... .......... .......... .......... .......... 86% 403K 1s 2750K .......... .......... .......... .......... .......... 87% 218K 1s 2800K .......... .......... .......... .......... .......... 89% 105K 1s 2850K .......... .......... .......... .......... .......... 91% 271M 1s 2900K .......... .......... .......... .......... .......... 92% 92.6K 1s 2950K .......... .......... .......... .......... .......... 94% 292M 0s 3000K .......... .......... .......... .......... .......... 95% 1.07M 0s 3050K .......... .......... .......... .......... .......... 97% 63.6M 0s 3100K .......... .......... .......... .......... .......... 98% 671M 0s 3150K .......... .......... .......... ..... 100% 67.0M=8.0s 2022-11-14 14:41:01 (399 KB/s) - ‘PyQt5-5.15.0.tar.gz’ saved [3262004/3262004]