$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-163786-58730/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-163786-58730/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 80f5c83f34dd6fc76f02d611e07164dc0c69f6ba HEAD is now at 80f5c83 1 $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-11-17 17:02:55-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.231, 8.141.190.226, 8.141.190.229, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.231|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3369733 (3.2M) [application/x-bzip2] Saving to: ‘anaconda-33.16.7.12.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 1.53M 2s 50K .......... .......... .......... .......... .......... 3% 3.14M 2s 100K .......... .......... .......... .......... .......... 4% 155M 1s 150K .......... .......... .......... .......... .......... 6% 6.39M 1s 200K .......... .......... .......... .......... .......... 7% 4.68M 1s 250K .......... .......... .......... .......... .......... 9% 236M 1s 300K .......... .......... .......... .......... .......... 10% 279M 1s 350K .......... .......... .......... .......... .......... 12% 428M 0s 400K .......... .......... .......... .......... .......... 13% 3.59M 1s 450K .......... .......... .......... .......... .......... 15% 252M 0s 500K .......... .......... .......... .......... .......... 16% 325M 0s 550K .......... .......... .......... .......... .......... 18% 419M 0s 600K .......... .......... .......... .......... .......... 19% 123M 0s 650K .......... .......... .......... .......... .......... 21% 274M 0s 700K .......... .......... .......... .......... .......... 22% 393M 0s 750K .......... .......... .......... .......... .......... 24% 114M 0s 800K .......... .......... .......... .......... .......... 25% 340M 0s 850K .......... .......... .......... .......... .......... 27% 3.60M 0s 900K .......... .......... .......... .......... .......... 28% 141M 0s 950K .......... .......... .......... .......... .......... 30% 146M 0s 1000K .......... .......... .......... .......... .......... 31% 32.5M 0s 1050K .......... .......... .......... .......... .......... 33% 243M 0s 1100K .......... .......... .......... .......... .......... 34% 369M 0s 1150K .......... .......... .......... .......... .......... 36% 261M 0s 1200K .......... .......... .......... .......... .......... 37% 137M 0s 1250K .......... .......... .......... .......... .......... 39% 274M 0s 1300K .......... .......... .......... .......... .......... 41% 322M 0s 1350K .......... .......... .......... .......... .......... 42% 6.66M 0s 1400K .......... .......... .......... .......... .......... 44% 112M 0s 1450K .......... .......... .......... .......... .......... 45% 423M 0s 1500K .......... .......... .......... .......... .......... 47% 441M 0s 1550K .......... .......... .......... .......... .......... 48% 391M 0s 1600K .......... .......... .......... .......... .......... 50% 455M 0s 1650K .......... .......... .......... .......... .......... 51% 452M 0s 1700K .......... .......... .......... .......... .......... 53% 465M 0s 1750K .......... .......... .......... .......... .......... 54% 12.9M 0s 1800K .......... .......... .......... .......... .......... 56% 312M 0s 1850K .......... .......... .......... .......... .......... 57% 13.3M 0s 1900K .......... .......... .......... .......... .......... 59% 175M 0s 1950K .......... .......... .......... .......... .......... 60% 275M 0s 2000K .......... .......... .......... .......... .......... 62% 316M 0s 2050K .......... .......... .......... .......... .......... 63% 343M 0s 2100K .......... .......... .......... .......... .......... 65% 30.1M 0s 2150K .......... .......... .......... .......... .......... 66% 291M 0s 2200K .......... .......... .......... .......... .......... 68% 319M 0s 2250K .......... .......... .......... .......... .......... 69% 7.81M 0s 2300K .......... .......... .......... .......... .......... 71% 221M 0s 2350K .......... .......... .......... .......... .......... 72% 246M 0s 2400K .......... .......... .......... .......... .......... 74% 464M 0s 2450K .......... .......... .......... .......... .......... 75% 413M 0s 2500K .......... .......... .......... .......... .......... 77% 362M 0s 2550K .......... .......... .......... .......... .......... 79% 464M 0s 2600K .......... .......... .......... .......... .......... 80% 6.97M 0s 2650K .......... .......... .......... .......... .......... 82% 265M 0s 2700K .......... .......... .......... .......... .......... 83% 296M 0s 2750K .......... .......... .......... .......... .......... 85% 284M 0s 2800K .......... .......... .......... .......... .......... 86% 226M 0s 2850K .......... .......... .......... .......... .......... 88% 247M 0s 2900K .......... .......... .......... .......... .......... 89% 342M 0s 2950K .......... .......... .......... .......... .......... 91% 450M 0s 3000K .......... .......... .......... .......... .......... 92% 394M 0s 3050K .......... .......... .......... .......... .......... 94% 465M 0s 3100K .......... .......... .......... .......... .......... 95% 466M 0s 3150K .......... .......... .......... .......... .......... 97% 6.91M 0s 3200K .......... .......... .......... .......... .......... 98% 246M 0s 3250K .......... .......... .......... .......... 100% 421M=0.1s 2022-11-17 17:02:55 (22.9 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]