$ git clone -n https://gitee.com/src-anolis-os/anaconda /var/lib/mock/dist-an8.6-build-88860-45155/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-88860-45155/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8-dev HEAD is now at 8f01f42 dual kernel: support boot iso $ wget -O anaconda-33.16.6.6.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.6.6.tar.bz2.3ffc3d406c86a1a51d1a097ffc41c459 --2022-05-09 20:15:32-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.6.6.tar.bz2.3ffc3d406c86a1a51d1a097ffc41c459 Resolving build.openanolis.cn (build.openanolis.cn)... 8.132.50.226, 8.132.50.223, 8.132.50.224, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.132.50.226|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 3359300 (3.2M) [application/x-bzip2] Saving to: ‘anaconda-33.16.6.6.tar.bz2’ 0K .......... .......... .......... .......... .......... 1% 852K 4s 50K .......... .......... .......... .......... .......... 3% 1.66M 3s 100K .......... .......... .......... .......... .......... 4% 223M 2s 150K .......... .......... .......... .......... .......... 6% 448M 1s 200K .......... .......... .......... .......... .......... 7% 1.67M 1s 250K .......... .......... .......... .......... .......... 9% 194M 1s 300K .......... .......... .......... .......... .......... 10% 341M 1s 350K .......... .......... .......... .......... .......... 12% 454M 1s 400K .......... .......... .......... .......... .......... 13% 1.69M 1s 450K .......... .......... .......... .......... .......... 15% 200M 1s 500K .......... .......... .......... .......... .......... 16% 334M 1s 550K .......... .......... .......... .......... .......... 18% 259M 1s 600K .......... .......... .......... .......... .......... 19% 367M 1s 650K .......... .......... .......... .......... .......... 21% 405M 1s 700K .......... .......... .......... .......... .......... 22% 453M 0s 750K .......... .......... .......... .......... .......... 24% 453M 0s 800K .......... .......... .......... .......... .......... 25% 404M 0s 850K .......... .......... .......... .......... .......... 27% 1.73M 0s 900K .......... .......... .......... .......... .......... 28% 363M 0s 950K .......... .......... .......... .......... .......... 30% 42.2M 0s 1000K .......... .......... .......... .......... .......... 32% 166M 0s 1050K .......... .......... .......... .......... .......... 33% 437M 0s 1100K .......... .......... .......... .......... .......... 35% 428M 0s 1150K .......... .......... .......... .......... .......... 36% 382M 0s 1200K .......... .......... .......... .......... .......... 38% 440M 0s 1250K .......... .......... .......... .......... .......... 39% 437M 0s 1300K .......... .......... .......... .......... .......... 41% 441M 0s 1350K .......... .......... .......... .......... .......... 42% 373M 0s 1400K .......... .......... .......... .......... .......... 44% 417M 0s 1450K .......... .......... .......... .......... .......... 45% 451M 0s 1500K .......... .......... .......... .......... .......... 47% 446M 0s 1550K .......... .......... .......... .......... .......... 48% 390M 0s 1600K .......... .......... .......... .......... .......... 50% 1.75M 0s 1650K .......... .......... .......... .......... .......... 51% 288M 0s 1700K .......... .......... .......... .......... .......... 53% 263M 0s 1750K .......... .......... .......... .......... .......... 54% 179M 0s 1800K .......... .......... .......... .......... .......... 56% 401M 0s 1850K .......... .......... .......... .......... .......... 57% 445M 0s 1900K .......... .......... .......... .......... .......... 59% 454M 0s 1950K .......... .......... .......... .......... .......... 60% 395M 0s 2000K .......... .......... .......... .......... .......... 62% 466M 0s 2050K .......... .......... .......... .......... .......... 64% 444M 0s 2100K .......... .......... .......... .......... .......... 65% 460M 0s 2150K .......... .......... .......... .......... .......... 67% 1.71M 0s 2200K .......... .......... .......... .......... .......... 68% 188M 0s 2250K .......... .......... .......... .......... .......... 70% 234M 0s 2300K .......... .......... .......... .......... .......... 71% 445M 0s 2350K .......... .......... .......... .......... .......... 73% 421M 0s 2400K .......... .......... .......... .......... .......... 74% 354M 0s 2450K .......... .......... .......... .......... .......... 76% 449M 0s 2500K .......... .......... .......... .......... .......... 77% 455M 0s 2550K .......... .......... .......... .......... .......... 79% 458M 0s 2600K .......... .......... .......... .......... .......... 80% 403M 0s 2650K .......... .......... .......... .......... .......... 82% 1.63M 0s 2700K .......... .......... .......... .......... .......... 83% 214M 0s 2750K .......... .......... .......... .......... .......... 85% 193M 0s 2800K .......... .......... .......... .......... .......... 86% 324M 0s 2850K .......... .......... .......... .......... .......... 88% 413M 0s 2900K .......... .......... .......... .......... .......... 89% 400M 0s 2950K .......... .......... .......... .......... .......... 91% 457M 0s 3000K .......... .......... .......... .......... .......... 92% 456M 0s 3050K .......... .......... .......... .......... .......... 94% 453M 0s 3100K .......... .......... .......... .......... .......... 96% 400M 0s 3150K .......... .......... .......... .......... .......... 97% 431M 0s 3200K .......... .......... .......... .......... .......... 99% 1.72M 0s 3250K .......... .......... .......... 100% 226M=0.3s 2022-05-09 20:15:34 (10.7 MB/s) - ‘anaconda-33.16.6.6.tar.bz2’ saved [3359300/3359300]