$ git clone -n https://gitee.com/src-anolis-os/libreswan.git /var/lib/mock/dist-an8.10-build-557129-89916/root/chroot_tmpdir/scmroot/libreswan Cloning into '/var/lib/mock/dist-an8.10-build-557129-89916/root/chroot_tmpdir/scmroot/libreswan'... $ git fetch origin 5e61a98a16fc9afe2dcc88e4e3eaa2486971eb64:KOJI_FETCH_HEAD From https://gitee.com/src-anolis-os/libreswan * [new ref] 5e61a98a16fc9afe2dcc88e4e3eaa2486971eb64 -> KOJI_FETCH_HEAD $ git reset --hard KOJI_FETCH_HEAD HEAD is now at 5e61a98 rebrand: rebrand to anolis $ wget -O libreswan-4.12.tar.gz http://build.openanolis.cn/kojifiles/upstream-source/libreswan-4.12.tar.gz.a8dea4d464e1cc58a25cb00fa0298fc4 --2026-07-28 11:42:08-- http://build.openanolis.cn/kojifiles/upstream-source/libreswan-4.12.tar.gz.a8dea4d464e1cc58a25cb00fa0298fc4 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: 3718440 (3.5M) [application/x-gzip] Saving to: ‘libreswan-4.12.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 17.2M 0s 50K .......... .......... .......... .......... .......... 2% 31.3M 0s 100K .......... .......... .......... .......... .......... 4% 18.4M 0s 150K .......... .......... .......... .......... .......... 5% 32.6M 0s 200K .......... .......... .......... .......... .......... 6% 4.26M 0s 250K .......... .......... .......... .......... .......... 8% 17.8M 0s 300K .......... .......... .......... .......... .......... 9% 35.4M 0s 350K .......... .......... .......... .......... .......... 11% 35.3M 0s 400K .......... .......... .......... .......... .......... 12% 32.5M 0s 450K .......... .......... .......... .......... .......... 13% 35.1M 0s 500K .......... .......... .......... .......... .......... 15% 35.3M 0s 550K .......... .......... .......... .......... .......... 16% 32.3M 0s 600K .......... .......... .......... .......... .......... 17% 35.3M 0s 650K .......... .......... .......... .......... .......... 19% 24.5M 0s 700K .......... .......... .......... .......... .......... 20% 35.1M 0s 750K .......... .......... .......... .......... .......... 22% 68.3M 0s 800K .......... .......... .......... .......... .......... 23% 36.4M 0s 850K .......... .......... .......... .......... .......... 24% 35.4M 0s 900K .......... .......... .......... .......... .......... 26% 70.9M 0s 950K .......... .......... .......... .......... .......... 27% 48.0M 0s 1000K .......... .......... .......... .......... .......... 28% 43.2M 0s 1050K .......... .......... .......... .......... .......... 30% 35.3M 0s 1100K .......... .......... .......... .......... .......... 31% 97.9M 0s 1150K .......... .......... .......... .......... .......... 33% 54.9M 0s 1200K .......... .......... .......... .......... .......... 34% 36.4M 0s 1250K .......... .......... .......... .......... .......... 35% 73.1M 0s 1300K .......... .......... .......... .......... .......... 37% 47.6M 0s 1350K .......... .......... .......... .......... .......... 38% 52.3M 0s 1400K .......... .......... .......... .......... .......... 39% 108M 0s 1450K .......... .......... .......... .......... .......... 41% 50.5M 0s 1500K .......... .......... .......... .......... .......... 42% 105M 0s 1550K .......... .......... .......... .......... .......... 44% 54.7M 0s 1600K .......... .......... .......... .......... .......... 45% 97.4M 0s 1650K .......... .......... .......... .......... .......... 46% 38.0M 0s 1700K .......... .......... .......... .......... .......... 48% 162M 0s 1750K .......... .......... .......... .......... .......... 49% 106M 0s 1800K .......... .......... .......... .......... .......... 50% 40.3M 0s 1850K .......... .......... .......... .......... .......... 52% 108M 0s 1900K .......... .......... .......... .......... .......... 53% 50.6M 0s 1950K .......... .......... .......... .......... .......... 55% 144M 0s 2000K .......... .......... .......... .......... .......... 56% 46.8M 0s 2050K .......... .......... .......... .......... .......... 57% 86.1M 0s 2100K .......... .......... .......... .......... .......... 59% 120M 0s 2150K .......... .......... .......... .......... .......... 60% 111M 0s 2200K .......... .......... .......... .......... .......... 61% 87.7M 0s 2250K .......... .......... .......... .......... .......... 63% 63.2M 0s 2300K .......... .......... .......... .......... .......... 64% 694M 0s 2350K .......... .......... .......... .......... .......... 66% 71.5M 0s 2400K .......... .......... .......... .......... .......... 67% 60.7M 0s 2450K .......... .......... .......... .......... .......... 68% 86.2M 0s 2500K .......... .......... .......... .......... .......... 70% 87.3M 0s 2550K .......... .......... .......... .......... .......... 71% 164M 0s 2600K .......... .......... .......... .......... .......... 72% 67.1M 0s 2650K .......... .......... .......... .......... .......... 74% 121M 0s 2700K .......... .......... .......... .......... .......... 75% 71.9M 0s 2750K .......... .......... .......... .......... .......... 77% 59.8M 0s 2800K .......... .......... .......... .......... .......... 78% 127M 0s 2850K .......... .......... .......... .......... .......... 79% 203M 0s 2900K .......... .......... .......... .......... .......... 81% 63.4M 0s 2950K .......... .......... .......... .......... .......... 82% 108M 0s 3000K .......... .......... .......... .......... .......... 83% 235M 0s 3050K .......... .......... .......... .......... .......... 85% 95.9M 0s 3100K .......... .......... .......... .......... .......... 86% 70.7M 0s 3150K .......... .......... .......... .......... .......... 88% 66.7M 0s 3200K .......... .......... .......... .......... .......... 89% 79.3M 0s 3250K .......... .......... .......... .......... .......... 90% 695M 0s 3300K .......... .......... .......... .......... .......... 92% 83.4M 0s 3350K .......... .......... .......... .......... .......... 93% 85.8M 0s 3400K .......... .......... .......... .......... .......... 95% 90.2M 0s 3450K .......... .......... .......... .......... .......... 96% 95.7M 0s 3500K .......... .......... .......... .......... .......... 97% 463M 0s 3550K .......... .......... .......... .......... .......... 99% 90.4M 0s 3600K .......... .......... .......... . 100% 60.9M=0.07s 2026-07-28 11:42:08 (47.4 MB/s) - ‘libreswan-4.12.tar.gz’ saved [3718440/3718440]