$ git clone -n https://gitee.com/src-anolis-os/numpy /var/lib/mock/module-python38-3.8-8090020231214084105-5b8d945f-build-338089-69738/root/chroot_tmpdir/scmroot/numpy Cloning into '/var/lib/mock/module-python38-3.8-8090020231214084105-5b8d945f-build-338089-69738/root/chroot_tmpdir/scmroot/numpy'... $ git reset --hard fba609734c4fff2ab4a8a213ba3bd3a63b0d43a0 HEAD is now at fba6097 build: support loongarch64 build $ wget -O numpy-1.17.3.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/numpy-1.17.3.tar.gz.48d6d97d6037eb8e171064a850b53aab --2023-12-15 10:09:01-- http://build.openanolis.cn/kojifiles/upstream-source/numpy-1.17.3.tar.gz.48d6d97d6037eb8e171064a850b53aab 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: 5778105 (5.5M) [application/x-gzip] Saving to: ‘numpy-1.17.3.tar.gz’ 0K .......... .......... .......... .......... .......... 0% 20.5M 0s 50K .......... .......... .......... .......... .......... 1% 39.8M 0s 100K .......... .......... .......... .......... .......... 2% 19.5M 0s 150K .......... .......... .......... .......... .......... 3% 38.2M 0s 200K .......... .......... .......... .......... .......... 4% 20.7M 0s 250K .......... .......... .......... .......... .......... 5% 873K 1s 300K .......... .......... .......... .......... .......... 6% 39.7M 1s 350K .......... .......... .......... .......... .......... 7% 40.8M 1s 400K .......... .......... .......... .......... .......... 7% 39.7M 1s 450K .......... .......... .......... .......... .......... 8% 41.2M 1s 500K .......... .......... .......... .......... .......... 9% 39.4M 1s 550K .......... .......... .......... .......... .......... 10% 41.5M 1s 600K .......... .......... .......... .......... .......... 11% 34.7M 1s 650K .......... .......... .......... .......... .......... 12% 42.4M 1s 700K .......... .......... .......... .......... .......... 13% 714M 1s 750K .......... .......... .......... .......... .......... 14% 40.0M 0s 800K .......... .......... .......... .......... .......... 15% 41.6M 0s 850K .......... .......... .......... .......... .......... 15% 41.5M 0s 900K .......... .......... .......... .......... .......... 16% 629M 0s 950K .......... .......... .......... .......... .......... 17% 41.4M 0s 1000K .......... .......... .......... .......... .......... 18% 41.4M 0s 1050K .......... .......... .......... .......... .......... 19% 397M 0s 1100K .......... .......... .......... .......... .......... 20% 42.3M 0s 1150K .......... .......... .......... .......... .......... 21% 41.1M 0s 1200K .......... .......... .......... .......... .......... 22% 345M 0s 1250K .......... .......... .......... .......... .......... 23% 45.9M 0s 1300K .......... .......... .......... .......... .......... 23% 711M 0s 1350K .......... .......... .......... .......... .......... 24% 41.5M 0s 1400K .......... .......... .......... .......... .......... 25% 405M 0s 1450K .......... .......... .......... .......... .......... 26% 46.0M 0s 1500K .......... .......... .......... .......... .......... 27% 690M 0s 1550K .......... .......... .......... .......... .......... 28% 42.3M 0s 1600K .......... .......... .......... .......... .......... 29% 671M 0s 1650K .......... .......... .......... .......... .......... 30% 44.1M 0s 1700K .......... .......... .......... .......... .......... 31% 607M 0s 1750K .......... .......... .......... .......... .......... 31% 44.9M 0s 1800K .......... .......... .......... .......... .......... 32% 412M 0s 1850K .......... .......... .......... .......... .......... 33% 43.6M 0s 1900K .......... .......... .......... .......... .......... 34% 644M 0s 1950K .......... .......... .......... .......... .......... 35% 597M 0s 2000K .......... .......... .......... .......... .......... 36% 45.2M 0s 2050K .......... .......... .......... .......... .......... 37% 645M 0s 2100K .......... .......... .......... .......... .......... 38% 44.6M 0s 2150K .......... .......... .......... .......... .......... 38% 624M 0s 2200K .......... .......... .......... .......... .......... 39% 617M 0s 2250K .......... .......... .......... .......... .......... 40% 44.3M 0s 2300K .......... .......... .......... .......... .......... 41% 643M 0s 2350K .......... .......... .......... .......... .......... 42% 702M 0s 2400K .......... .......... .......... .......... .......... 43% 44.8M 0s 2450K .......... .......... .......... .......... .......... 44% 628M 0s 2500K .......... .......... .......... .......... .......... 45% 634M 0s 2550K .......... .......... .......... .......... .......... 46% 43.5M 0s 2600K .......... .......... .......... .......... .......... 46% 677M 0s 2650K .......... .......... .......... .......... .......... 47% 626M 0s 2700K .......... .......... .......... .......... .......... 48% 46.9M 0s 2750K .......... .......... .......... .......... .......... 49% 660M 0s 2800K .......... .......... .......... .......... .......... 50% 561M 0s 2850K .......... .......... .......... .......... .......... 51% 47.2M 0s 2900K .......... .......... .......... .......... .......... 52% 407M 0s 2950K .......... .......... .......... .......... .......... 53% 732M 0s 3000K .......... .......... .......... .......... .......... 54% 646M 0s 3050K .......... .......... .......... .......... .......... 54% 47.5M 0s 3100K .......... .......... .......... .......... .......... 55% 496M 0s 3150K .......... .......... .......... .......... .......... 56% 347M 0s 3200K .......... .......... .......... .......... .......... 57% 50.1M 0s 3250K .......... .......... .......... .......... .......... 58% 1.42M 0s 3300K .......... .......... .......... .......... .......... 59% 387M 0s 3350K .......... .......... .......... .......... .......... 60% 668M 0s 3400K .......... .......... .......... .......... .......... 61% 765M 0s 3450K .......... .......... .......... .......... .......... 62% 51.8M 0s 3500K .......... .......... .......... .......... .......... 62% 591M 0s 3550K .......... .......... .......... .......... .......... 63% 661M 0s 3600K .......... .......... .......... .......... .......... 64% 767M 0s 3650K .......... .......... .......... .......... .......... 65% 48.8M 0s 3700K .......... .......... .......... .......... .......... 66% 412M 0s 3750K .......... .......... .......... .......... .......... 67% 558M 0s 3800K .......... .......... .......... .......... .......... 68% 710M 0s 3850K .......... .......... .......... .......... .......... 69% 53.7M 0s 3900K .......... .......... .......... .......... .......... 70% 415M 0s 3950K .......... .......... .......... .......... .......... 70% 588M 0s 4000K .......... .......... .......... .......... .......... 71% 669M 0s 4050K .......... .......... .......... .......... .......... 72% 597M 0s 4100K .......... .......... .......... .......... .......... 73% 48.6M 0s 4150K .......... .......... .......... .......... .......... 74% 666M 0s 4200K .......... .......... .......... .......... .......... 75% 657M 0s 4250K .......... .......... .......... .......... .......... 76% 748M 0s 4300K .......... .......... .......... .......... .......... 77% 22.9M 0s 4350K .......... .......... .......... .......... .......... 77% 386M 0s 4400K .......... .......... .......... .......... .......... 78% 487M 0s 4450K .......... .......... .......... .......... .......... 79% 742M 0s 4500K .......... .......... .......... .......... .......... 80% 63.2M 0s 4550K .......... .......... .......... .......... .......... 81% 653M 0s 4600K .......... .......... .......... .......... .......... 82% 578M 0s 4650K .......... .......... .......... .......... .......... 83% 763M 0s 4700K .......... .......... .......... .......... .......... 84% 702M 0s 4750K .......... .......... .......... .......... .......... 85% 50.7M 0s 4800K .......... .......... .......... .......... .......... 85% 507M 0s 4850K .......... .......... .......... .......... .......... 86% 694M 0s 4900K .......... .......... .......... .......... .......... 87% 708M 0s 4950K .......... .......... .......... .......... .......... 88% 736M 0s 5000K .......... .......... .......... .......... .......... 89% 52.5M 0s 5050K .......... .......... .......... .......... .......... 90% 469M 0s 5100K .......... .......... .......... .......... .......... 91% 738M 0s 5150K .......... .......... .......... .......... .......... 92% 622M 0s 5200K .......... .......... .......... .......... .......... 93% 730M 0s 5250K .......... .......... .......... .......... .......... 93% 57.8M 0s 5300K .......... .......... .......... .......... .......... 94% 659M 0s 5350K .......... .......... .......... .......... .......... 95% 620M 0s 5400K .......... .......... .......... .......... .......... 96% 650M 0s 5450K .......... .......... .......... .......... .......... 97% 651M 0s 5500K .......... .......... .......... .......... .......... 98% 736M 0s 5550K .......... .......... .......... .......... .......... 99% 56.4M 0s 5600K .......... .......... .......... .......... .. 100% 571M=0.2s 2023-12-15 10:09:01 (36.1 MB/s) - ‘numpy-1.17.3.tar.gz’ saved [5778105/5778105]