$ git clone -n https://gitee.com/src-anolis-os/python-gevent.git /var/lib/mock/dist-an8.9-build-390798-72066/root/chroot_tmpdir/scmroot/python-gevent Cloning into '/var/lib/mock/dist-an8.9-build-390798-72066/root/chroot_tmpdir/scmroot/python-gevent'... $ git fetch origin a8:KOJI_FETCH_HEAD From https://gitee.com/src-anolis-os/python-gevent * [new branch] a8 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at 90551f5 update to python-gevent-1.2.2-5.src.rpm $ wget -O gevent-1.2.2.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/gevent-1.2.2.tar.gz.7f0baf355384fe5ff2ecf66853422554 --2024-08-01 18:08:24-- http://build.openanolis.cn/kojifiles/upstream-source/gevent-1.2.2.tar.gz.7f0baf355384fe5ff2ecf66853422554 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: 3108671 (3.0M) [application/x-gzip] Saving to: ‘gevent-1.2.2.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 149M 0s 50K .......... .......... .......... .......... .......... 3% 303M 0s 100K .......... .......... .......... .......... .......... 4% 306M 0s 150K .......... .......... .......... .......... .......... 6% 248M 0s 200K .......... .......... .......... .......... .......... 8% 300M 0s 250K .......... .......... .......... .......... .......... 9% 2.08M 0s 300K .......... .......... .......... .......... .......... 11% 284M 0s 350K .......... .......... .......... .......... .......... 13% 502M 0s 400K .......... .......... .......... .......... .......... 14% 385M 0s 450K .......... .......... .......... .......... .......... 16% 392M 0s 500K .......... .......... .......... .......... .......... 18% 456M 0s 550K .......... .......... .......... .......... .......... 19% 199M 0s 600K .......... .......... .......... .......... .......... 21% 486M 0s 650K .......... .......... .......... .......... .......... 23% 389M 0s 700K .......... .......... .......... .......... .......... 24% 408M 0s 750K .......... .......... .......... .......... .......... 26% 598M 0s 800K .......... .......... .......... .......... .......... 27% 434M 0s 850K .......... .......... .......... .......... .......... 29% 389M 0s 900K .......... .......... .......... .......... .......... 31% 670M 0s 950K .......... .......... .......... .......... .......... 32% 593M 0s 1000K .......... .......... .......... .......... .......... 34% 409M 0s 1050K .......... .......... .......... .......... .......... 36% 512M 0s 1100K .......... .......... .......... .......... .......... 37% 341M 0s 1150K .......... .......... .......... .......... .......... 39% 670M 0s 1200K .......... .......... .......... .......... .......... 41% 692M 0s 1250K .......... .......... .......... .......... .......... 42% 906K 0s 1300K .......... .......... .......... .......... .......... 44% 482M 0s 1350K .......... .......... .......... .......... .......... 46% 695M 0s 1400K .......... .......... .......... .......... .......... 47% 696M 0s 1450K .......... .......... .......... .......... .......... 49% 512M 0s 1500K .......... .......... .......... .......... .......... 51% 565M 0s 1550K .......... .......... .......... .......... .......... 52% 662M 0s 1600K .......... .......... .......... .......... .......... 54% 547M 0s 1650K .......... .......... .......... .......... .......... 55% 652M 0s 1700K .......... .......... .......... .......... .......... 57% 666M 0s 1750K .......... .......... .......... .......... .......... 59% 638M 0s 1800K .......... .......... .......... .......... .......... 60% 560M 0s 1850K .......... .......... .......... .......... .......... 62% 653M 0s 1900K .......... .......... .......... .......... .......... 64% 636M 0s 1950K .......... .......... .......... .......... .......... 65% 643M 0s 2000K .......... .......... .......... .......... .......... 67% 546M 0s 2050K .......... .......... .......... .......... .......... 69% 631M 0s 2100K .......... .......... .......... .......... .......... 70% 650M 0s 2150K .......... .......... .......... .......... .......... 72% 574M 0s 2200K .......... .......... .......... .......... .......... 74% 574M 0s 2250K .......... .......... .......... .......... .......... 75% 634M 0s 2300K .......... .......... .......... .......... .......... 77% 643M 0s 2350K .......... .......... .......... .......... .......... 79% 628M 0s 2400K .......... .......... .......... .......... .......... 80% 568M 0s 2450K .......... .......... .......... .......... .......... 82% 592M 0s 2500K .......... .......... .......... .......... .......... 83% 619M 0s 2550K .......... .......... .......... .......... .......... 85% 633M 0s 2600K .......... .......... .......... .......... .......... 87% 570M 0s 2650K .......... .......... .......... .......... .......... 88% 659M 0s 2700K .......... .......... .......... .......... .......... 90% 691M 0s 2750K .......... .......... .......... .......... .......... 92% 701M 0s 2800K .......... .......... .......... .......... .......... 93% 548M 0s 2850K .......... .......... .......... .......... .......... 95% 709M 0s 2900K .......... .......... .......... .......... .......... 97% 715M 0s 2950K .......... .......... .......... .......... .......... 98% 706M 0s 3000K .......... .......... .......... ..... 100% 606M=0.08s 2024-08-01 18:08:24 (35.0 MB/s) - ‘gevent-1.2.2.tar.gz’ saved [3108671/3108671]