$ git clone -n https://gitee.com/src-anolis-os/zziplib.git /var/lib/mock/dist-an8.9-build-365790-71163/root/chroot_tmpdir/scmroot/zziplib Cloning into '/var/lib/mock/dist-an8.9-build-365790-71163/root/chroot_tmpdir/scmroot/zziplib'... $ git fetch origin aa64d13dbf80b9d475accc6e452adcb9e15fb021:KOJI_FETCH_HEAD From https://gitee.com/src-anolis-os/zziplib * [new ref] aa64d13dbf80b9d475accc6e452adcb9e15fb021 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at aa64d13 add sw $ wget -O v0.13.71-pruned.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/v0.13.71-pruned.tar.gz.e180a749c15b33d24c5f3a75e2076b28 --2024-03-20 20:49:23-- http://build.openanolis.cn/kojifiles/upstream-source/v0.13.71-pruned.tar.gz.e180a749c15b33d24c5f3a75e2076b28 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: 4208640 (4.0M) [application/x-gzip] Saving to: ‘v0.13.71-pruned.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 170M 0s 50K .......... .......... .......... .......... .......... 2% 294M 0s 100K .......... .......... .......... .......... .......... 3% 200M 0s 150K .......... .......... .......... .......... .......... 4% 237M 0s 200K .......... .......... .......... .......... .......... 6% 339M 0s 250K .......... .......... .......... .......... .......... 7% 219M 0s 300K .......... .......... .......... .......... .......... 8% 264M 0s 350K .......... .......... .......... .......... .......... 9% 414M 0s 400K .......... .......... .......... .......... .......... 10% 380M 0s 450K .......... .......... .......... .......... .......... 12% 358M 0s 500K .......... .......... .......... .......... .......... 13% 300M 0s 550K .......... .......... .......... .......... .......... 14% 431M 0s 600K .......... .......... .......... .......... .......... 15% 481M 0s 650K .......... .......... .......... .......... .......... 17% 496M 0s 700K .......... .......... .......... .......... .......... 18% 334M 0s 750K .......... .......... .......... .......... .......... 19% 425M 0s 800K .......... .......... .......... .......... .......... 20% 507M 0s 850K .......... .......... .......... .......... .......... 21% 367M 0s 900K .......... .......... .......... .......... .......... 23% 622M 0s 950K .......... .......... .......... .......... .......... 24% 459M 0s 1000K .......... .......... .......... .......... .......... 25% 402M 0s 1050K .......... .......... .......... .......... .......... 26% 563M 0s 1100K .......... .......... .......... .......... .......... 27% 527M 0s 1150K .......... .......... .......... .......... .......... 29% 614M 0s 1200K .......... .......... .......... .......... .......... 30% 387M 0s 1250K .......... .......... .......... .......... .......... 31% 332M 0s 1300K .......... .......... .......... .......... .......... 32% 691M 0s 1350K .......... .......... .......... .......... .......... 34% 665M 0s 1400K .......... .......... .......... .......... .......... 35% 617M 0s 1450K .......... .......... .......... .......... .......... 36% 534M 0s 1500K .......... .......... .......... .......... .......... 37% 536M 0s 1550K .......... .......... .......... .......... .......... 38% 640M 0s 1600K .......... .......... .......... .......... .......... 40% 649M 0s 1650K .......... .......... .......... .......... .......... 41% 550M 0s 1700K .......... .......... .......... .......... .......... 42% 655M 0s 1750K .......... .......... .......... .......... .......... 43% 698M 0s 1800K .......... .......... .......... .......... .......... 45% 281M 0s 1850K .......... .......... .......... .......... .......... 46% 592M 0s 1900K .......... .......... .......... .......... .......... 47% 596M 0s 1950K .......... .......... .......... .......... .......... 48% 633M 0s 2000K .......... .......... .......... .......... .......... 49% 540M 0s 2050K .......... .......... .......... .......... .......... 51% 519M 0s 2100K .......... .......... .......... .......... .......... 52% 561M 0s 2150K .......... .......... .......... .......... .......... 53% 617M 0s 2200K .......... .......... .......... .......... .......... 54% 580M 0s 2250K .......... .......... .......... .......... .......... 55% 543M 0s 2300K .......... .......... .......... .......... .......... 57% 644M 0s 2350K .......... .......... .......... .......... .......... 58% 609M 0s 2400K .......... .......... .......... .......... .......... 59% 599M 0s 2450K .......... .......... .......... .......... .......... 60% 511M 0s 2500K .......... .......... .......... .......... .......... 62% 481M 0s 2550K .......... .......... .......... .......... .......... 63% 593M 0s 2600K .......... .......... .......... .......... .......... 64% 501M 0s 2650K .......... .......... .......... .......... .......... 65% 486M 0s 2700K .......... .......... .......... .......... .......... 66% 567M 0s 2750K .......... .......... .......... .......... .......... 68% 525M 0s 2800K .......... .......... .......... .......... .......... 69% 544M 0s 2850K .......... .......... .......... .......... .......... 70% 455M 0s 2900K .......... .......... .......... .......... .......... 71% 577M 0s 2950K .......... .......... .......... .......... .......... 72% 534M 0s 3000K .......... .......... .......... .......... .......... 74% 626M 0s 3050K .......... .......... .......... .......... .......... 75% 472M 0s 3100K .......... .......... .......... .......... .......... 76% 518M 0s 3150K .......... .......... .......... .......... .......... 77% 502M 0s 3200K .......... .......... .......... .......... .......... 79% 551M 0s 3250K .......... .......... .......... .......... .......... 80% 553M 0s 3300K .......... .......... .......... .......... .......... 81% 641M 0s 3350K .......... .......... .......... .......... .......... 82% 670M 0s 3400K .......... .......... .......... .......... .......... 83% 655M 0s 3450K .......... .......... .......... .......... .......... 85% 582M 0s 3500K .......... .......... .......... .......... .......... 86% 673M 0s 3550K .......... .......... .......... .......... .......... 87% 665M 0s 3600K .......... .......... .......... .......... .......... 88% 648M 0s 3650K .......... .......... .......... .......... .......... 90% 574M 0s 3700K .......... .......... .......... .......... .......... 91% 664M 0s 3750K .......... .......... .......... .......... .......... 92% 669M 0s 3800K .......... .......... .......... .......... .......... 93% 564M 0s 3850K .......... .......... .......... .......... .......... 94% 534M 0s 3900K .......... .......... .......... .......... .......... 96% 610M 0s 3950K .......... .......... .......... .......... .......... 97% 636M 0s 4000K .......... .......... .......... .......... .......... 98% 620M 0s 4050K .......... .......... .......... .......... .......... 99% 558M 0s 4100K .......... 100% 676M=0.008s 2024-03-20 20:49:23 (474 MB/s) - ‘v0.13.71-pruned.tar.gz’ saved [4208640/4208640]