$ git clone -n https://gitee.com/gcdota930915/anaconda.git /var/lib/mock/dist-an8.6-build-174956-58996/root/chroot_tmpdir/scmroot/anaconda Cloning into '/var/lib/mock/dist-an8.6-build-174956-58996/root/chroot_tmpdir/scmroot/anaconda'... $ git reset --hard 9f1e361c2da586226b6d591391c1c8bbe8150de8 HEAD is now at 9f1e361 Modify patches for anaconda new version $ wget -O anaconda-33.16.7.12.tar.bz2 http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 --2022-12-06 10:23:35-- http://build.openanolis.cn/kojifiles/upstream-source/anaconda-33.16.7.12.tar.bz2.d55e50138312232ba83dcf0615bf9140 Resolving build.openanolis.cn (build.openanolis.cn)... 8.141.190.227, 8.141.190.230, 8.141.190.231, ... Connecting to build.openanolis.cn (build.openanolis.cn)|8.141.190.227|: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% 3.04M 1s 50K .......... .......... .......... .......... .......... 3% 6.09M 1s 100K .......... .......... .......... .......... .......... 4% 226M 1s 150K .......... .......... .......... .......... .......... 6% 469M 0s 200K .......... .......... .......... .......... .......... 7% 6.19M 0s 250K .......... .......... .......... .......... .......... 9% 255M 0s 300K .......... .......... .......... .......... .......... 10% 437M 0s 350K .......... .......... .......... .......... .......... 12% 456M 0s 400K .......... .......... .......... .......... .......... 13% 6.47M 0s 450K .......... .......... .......... .......... .......... 15% 234M 0s 500K .......... .......... .......... .......... .......... 16% 173M 0s 550K .......... .......... .......... .......... .......... 18% 477M 0s 600K .......... .......... .......... .......... .......... 19% 480M 0s 650K .......... .......... .......... .......... .......... 21% 417M 0s 700K .......... .......... .......... .......... .......... 22% 28.5M 0s 750K .......... .......... .......... .......... .......... 24% 320M 0s 800K .......... .......... .......... .......... .......... 25% 377M 0s 850K .......... .......... .......... .......... .......... 27% 9.30M 0s 900K .......... .......... .......... .......... .......... 28% 349M 0s 950K .......... .......... .......... .......... .......... 30% 28.7M 0s 1000K .......... .......... .......... .......... .......... 31% 186M 0s 1050K .......... .......... .......... .......... .......... 33% 222M 0s 1100K .......... .......... .......... .......... .......... 34% 300M 0s 1150K .......... .......... .......... .......... .......... 36% 478M 0s 1200K .......... .......... .......... .......... .......... 37% 491M 0s 1250K .......... .......... .......... .......... .......... 39% 5.83M 0s 1300K .......... .......... .......... .......... .......... 41% 296M 0s 1350K .......... .......... .......... .......... .......... 42% 303M 0s 1400K .......... .......... .......... .......... .......... 44% 254M 0s 1450K .......... .......... .......... .......... .......... 45% 226M 0s 1500K .......... .......... .......... .......... .......... 47% 470M 0s 1550K .......... .......... .......... .......... .......... 48% 488M 0s 1600K .......... .......... .......... .......... .......... 50% 484M 0s 1650K .......... .......... .......... .......... .......... 51% 419M 0s 1700K .......... .......... .......... .......... .......... 53% 441M 0s 1750K .......... .......... .......... .......... .......... 54% 6.64M 0s 1800K .......... .......... .......... .......... .......... 56% 320M 0s 1850K .......... .......... .......... .......... .......... 57% 291M 0s 1900K .......... .......... .......... .......... .......... 59% 241M 0s 1950K .......... .......... .......... .......... .......... 60% 249M 0s 2000K .......... .......... .......... .......... .......... 62% 407M 0s 2050K .......... .......... .......... .......... .......... 63% 461M 0s 2100K .......... .......... .......... .......... .......... 65% 411M 0s 2150K .......... .......... .......... .......... .......... 66% 473M 0s 2200K .......... .......... .......... .......... .......... 68% 478M 0s 2250K .......... .......... .......... .......... .......... 69% 3.85M 0s 2300K .......... .......... .......... .......... .......... 71% 378M 0s 2350K .......... .......... .......... .......... .......... 72% 327M 0s 2400K .......... .......... .......... .......... .......... 74% 322M 0s 2450K .......... .......... .......... .......... .......... 75% 320M 0s 2500K .......... .......... .......... .......... .......... 77% 279M 0s 2550K .......... .......... .......... .......... .......... 79% 320M 0s 2600K .......... .......... .......... .......... .......... 80% 297M 0s 2650K .......... .......... .......... .......... .......... 82% 370M 0s 2700K .......... .......... .......... .......... .......... 83% 477M 0s 2750K .......... .......... .......... .......... .......... 85% 5.99M 0s 2800K .......... .......... .......... .......... .......... 86% 277M 0s 2850K .......... .......... .......... .......... .......... 88% 191M 0s 2900K .......... .......... .......... .......... .......... 89% 464M 0s 2950K .......... .......... .......... .......... .......... 91% 477M 0s 3000K .......... .......... .......... .......... .......... 92% 481M 0s 3050K .......... .......... .......... .......... .......... 94% 341M 0s 3100K .......... .......... .......... .......... .......... 95% 358M 0s 3150K .......... .......... .......... .......... .......... 97% 251M 0s 3200K .......... .......... .......... .......... .......... 98% 445M 0s 3250K .......... .......... .......... .......... 100% 390M=0.09s 2022-12-06 10:23:35 (34.6 MB/s) - ‘anaconda-33.16.7.12.tar.bz2’ saved [3369733/3369733]