$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.7-build-162589-58665/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.7-build-162589-58665/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard origin/a8 HEAD is now at 5fc782f Fix some text describe $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-11-16 13:28:06-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.229, 8.141.190.230, 8.141.190.231, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.229|: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% 3.67M 1s 50K .......... .......... .......... .......... .......... 3% 7.39M 1s 100K .......... .......... .......... .......... .......... 4% 387M 0s 150K .......... .......... .......... .......... .......... 6% 6.71M 0s 200K .......... .......... .......... .......... .......... 7% 397M 0s 250K .......... .......... .......... .......... .......... 9% 144M 0s 300K .......... .......... .......... .......... .......... 10% 461M 0s 350K .......... .......... .......... .......... .......... 12% 8.00M 0s 400K .......... .......... .......... .......... .......... 13% 415M 0s 450K .......... .......... .......... .......... .......... 15% 292M 0s 500K .......... .......... .......... .......... .......... 16% 347M 0s 550K .......... .......... .......... .......... .......... 18% 631M 0s 600K .......... .......... .......... .......... .......... 19% 2.59M 0s 650K .......... .......... .......... .......... .......... 21% 295M 0s 700K .......... .......... .......... .......... .......... 22% 464M 0s 750K .......... .......... .......... .......... .......... 24% 591M 0s 800K .......... .......... .......... .......... .......... 25% 262M 0s 850K .......... .......... .......... .......... .......... 27% 448M 0s 900K .......... .......... .......... .......... .......... 28% 171M 0s 950K .......... .......... .......... .......... .......... 30% 635M 0s 1000K .......... .......... .......... .......... .......... 31% 684M 0s 1050K .......... .......... .......... .......... .......... 33% 578M 0s 1100K .......... .......... .......... .......... .......... 34% 780M 0s 1150K .......... .......... .......... .......... .......... 36% 1.11M 0s 1200K .......... .......... .......... .......... .......... 37% 331M 0s 1250K .......... .......... .......... .......... .......... 39% 466M 0s 1300K .......... .......... .......... .......... .......... 41% 663M 0s 1350K .......... .......... .......... .......... .......... 42% 751M 0s 1400K .......... .......... .......... .......... .......... 44% 459M 0s 1450K .......... .......... .......... .......... .......... 45% 591M 0s 1500K .......... .......... .......... .......... .......... 47% 249M 0s 1550K .......... .......... .......... .......... .......... 48% 437M 0s 1600K .......... .......... .......... .......... .......... 50% 621M 0s 1650K .......... .......... .......... .......... .......... 51% 1.69M 0s 1700K .......... .......... .......... .......... .......... 53% 400M 0s 1750K .......... .......... .......... .......... .......... 54% 318M 0s 1800K .......... .......... .......... .......... .......... 56% 455M 0s 1850K .......... .......... .......... .......... .......... 57% 460M 0s 1900K .......... .......... .......... .......... .......... 59% 426M 0s 1950K .......... .......... .......... .......... .......... 60% 492M 0s 2000K .......... .......... .......... .......... .......... 62% 644M 0s 2050K .......... .......... .......... .......... .......... 63% 464M 0s 2100K .......... .......... .......... .......... .......... 65% 123M 0s 2150K .......... .......... .......... .......... .......... 66% 834K 0s 2200K .......... .......... .......... .......... .......... 68% 316M 0s 2250K .......... .......... .......... .......... .......... 69% 681M 0s 2300K .......... .......... .......... .......... .......... 71% 593M 0s 2350K .......... .......... .......... .......... .......... 72% 461M 0s 2400K .......... .......... .......... .......... .......... 74% 647M 0s 2450K .......... .......... .......... .......... .......... 75% 635M 0s 2500K .......... .......... .......... .......... .......... 77% 632M 0s 2550K .......... .......... .......... .......... .......... 79% 555M 0s 2600K .......... .......... .......... .......... .......... 80% 718M 0s 2650K .......... .......... .......... .......... .......... 82% 1.90M 0s 2700K .......... .......... .......... .......... .......... 83% 278M 0s 2750K .......... .......... .......... .......... .......... 85% 406M 0s 2800K .......... .......... .......... .......... .......... 86% 547M 0s 2850K .......... .......... .......... .......... .......... 88% 616M 0s 2900K .......... .......... .......... .......... .......... 89% 543M 0s 2950K .......... .......... .......... .......... .......... 91% 744M 0s 3000K .......... .......... .......... .......... .......... 92% 744M 0s 3050K .......... .......... .......... .......... .......... 94% 747M 0s 3100K .......... .......... .......... .......... .......... 95% 623M 0s 3150K .......... .......... .......... .......... .......... 97% 755M 0s 3200K .......... .......... .......... .......... .......... 98% 2.30M 0s 3250K .......... .......... .......... .......... 100% 379M=0.2s 2022-11-16 13:28:07 (13.5 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]