>>> python-numpy 1.23.5 Downloading wget --passive-ftp -nd -t 3 -O '/tmp/instance-12/output-1/build/.numpy-1.23.5.tar.gz.yjI1kP/output' 'https://github.com/numpy/numpy/releases/download/v1.23.5/numpy-1.23.5.tar.gz' --2023-01-23 15:56:14-- https://github.com/numpy/numpy/releases/download/v1.23.5/numpy-1.23.5.tar.gz Resolving github.com (github.com)... 20.248.137.48 Connecting to github.com (github.com)|20.248.137.48|:443... connected. HTTP request sent, awaiting response... 302 Found Location: https://objects.githubusercontent.com/github-production-release-asset-2e65be/908607/50065b04-31ed-4541-8417-5764bc52dc89?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20230123%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230123T225615Z&X-Amz-Expires=300&X-Amz-Signature=3f480a61f4cf2739457700eebb7064ee477fa9012cd9ea9f0526d25dd6f913e8&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=908607&response-content-disposition=attachment%3B%20filename%3Dnumpy-1.23.5.tar.gz&response-content-type=application%2Foctet-stream [following] --2023-01-23 15:56:15-- https://objects.githubusercontent.com/github-production-release-asset-2e65be/908607/50065b04-31ed-4541-8417-5764bc52dc89?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIAIWNJYAX4CSVEH53A%2F20230123%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20230123T225615Z&X-Amz-Expires=300&X-Amz-Signature=3f480a61f4cf2739457700eebb7064ee477fa9012cd9ea9f0526d25dd6f913e8&X-Amz-SignedHeaders=host&actor_id=0&key_id=0&repo_id=908607&response-content-disposition=attachment%3B%20filename%3Dnumpy-1.23.5.tar.gz&response-content-type=application%2Foctet-stream Resolving objects.githubusercontent.com (objects.githubusercontent.com)... 185.199.108.133, 185.199.111.133, 185.199.110.133, ... Connecting to objects.githubusercontent.com (objects.githubusercontent.com)|185.199.108.133|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 10731755 (10M) [application/octet-stream] Saving to: '/tmp/instance-12/output-1/build/.numpy-1.23.5.tar.gz.yjI1kP/output' 0K .......... .......... .......... .......... .......... 0% 12.4M 1s 50K .......... .......... .......... .......... .......... 0% 16.1M 1s 100K .......... .......... .......... .......... .......... 1% 39.5M 1s 150K .......... .......... .......... .......... .......... 1% 56.5M 0s 200K .......... .......... .......... .......... .......... 2% 88.2M 0s 250K .......... .......... .......... .......... .......... 2% 32.9M 0s 300K .......... .......... .......... .......... .......... 3% 58.6M 0s 350K .......... .......... .......... .......... .......... 3% 218M 0s 400K .......... .......... .......... .......... .......... 4% 103M 0s 450K .......... .......... .......... .......... .......... 4% 24.9M 0s 500K .......... .......... .......... .......... .......... 5% 173M 0s 550K .......... .......... .......... .......... .......... 5% 9.38M 0s 600K .......... .......... .......... .......... .......... 6% 104M 0s 650K .......... .......... .......... .......... .......... 6% 134M 0s 700K .......... .......... .......... .......... .......... 7% 90.3M 0s 750K .......... .......... .......... .......... .......... 7% 147M 0s 800K .......... .......... .......... .......... .......... 8% 117M 0s 850K .......... .......... .......... .......... .......... 8% 146M 0s 900K .......... .......... .......... .......... .......... 9% 159M 0s 950K .......... .......... .......... .......... .......... 9% 138M 0s 1000K .......... .......... .......... .......... .......... 10% 133M 0s 1050K .......... .......... .......... .......... .......... 10% 150M 0s 1100K .......... .......... .......... .......... .......... 10% 167M 0s 1150K .......... .......... .......... .......... .......... 11% 163M 0s 1200K .......... .......... .......... .......... .......... 11% 136M 0s 1250K .......... .......... .......... .......... .......... 12% 154M 0s 1300K .......... .......... .......... .......... .......... 12% 160M 0s 1350K .......... .......... .......... .......... .......... 13% 163M 0s 1400K .......... .......... .......... .......... .......... 13% 130M 0s 1450K .......... .......... .......... .......... .......... 14% 26.8M 0s 1500K .......... .......... .......... .......... .......... 14% 182M 0s 1550K .......... .......... .......... .......... .......... 15% 187M 0s 1600K .......... .......... .......... .......... .......... 15% 170M 0s 1650K .......... .......... .......... .......... .......... 16% 183M 0s 1700K .......... .......... .......... .......... .......... 16% 163M 0s 1750K .......... .......... .......... .......... .......... 17% 137M 0s 1800K .......... .......... .......... .......... .......... 17% 105M 0s 1850K .......... .......... .......... .......... .......... 18% 129M 0s 1900K .......... .......... .......... .......... .......... 18% 133M 0s 1950K .......... .......... .......... .......... .......... 19% 127M 0s 2000K .......... .......... .......... .......... .......... 19% 118M 0s 2050K .......... .......... .......... .......... .......... 20% 128M 0s 2100K .......... .......... .......... .......... .......... 20% 147M 0s 2150K .......... .......... .......... .......... .......... 20% 131M 0s 2200K .......... .......... .......... .......... .......... 21% 121M 0s 2250K .......... .......... .......... .......... .......... 21% 137M 0s 2300K .......... .......... .......... .......... .......... 22% 143M 0s 2350K .......... .......... .......... .......... .......... 22% 160M 0s 2400K .......... .......... .......... .......... .......... 23% 146M 0s 2450K .......... .......... .......... .......... .......... 23% 166M 0s 2500K .......... .......... .......... .......... .......... 24% 145M 0s 2550K .......... .......... .......... .......... .......... 24% 165M 0s 2600K .......... .......... .......... .......... .......... 25% 124M 0s 2650K .......... .......... .......... .......... .......... 25% 147M 0s 2700K .......... .......... .......... .......... .......... 26% 18.8M 0s 2750K .......... .......... .......... .......... .......... 26% 169M 0s 2800K .......... .......... .......... .......... .......... 27% 186M 0s 2850K .......... .......... .......... .......... .......... 27% 207M 0s 2900K .......... .......... .......... .......... .......... 28% 173M 0s 2950K .......... .......... .......... .......... .......... 28% 175M 0s 3000K .......... .......... .......... .......... .......... 29% 20.6M 0s 3050K .......... .......... .......... .......... .......... 29% 148M 0s 3100K .......... .......... .......... .......... .......... 30% 175M 0s 3150K .......... .......... .......... .......... .......... 30% 148M 0s 3200K .......... .......... .......... .......... .......... 31% 35.7M 0s 3250K .......... .......... .......... .......... .......... 31% 168M 0s 3300K .......... .......... .......... .......... .......... 31% 135M 0s 3350K .......... .......... .......... .......... .......... 32% 143M 0s 3400K .......... .......... .......... .......... .......... 32% 32.9M 0s 3450K .......... .......... .......... .......... .......... 33% 209M 0s 3500K .......... .......... .......... .......... .......... 33% 29.4M 0s 3550K .......... .......... .......... .......... .......... 34% 185M 0s 3600K .......... .......... .......... .......... .......... 34% 186M 0s 3650K .......... .......... .......... .......... .......... 35% 40.4M 0s 3700K .......... .......... .......... .......... .......... 35% 180M 0s 3750K .......... .......... .......... .......... .......... 36% 184M 0s 3800K .......... .......... .......... .......... .......... 36% 93.0M 0s 3850K .......... .......... .......... .......... .......... 37% 132M 0s 3900K .......... .......... .......... .......... .......... 37% 62.2M 0s 3950K .......... .......... .......... .......... .......... 38% 12.0M 0s 4000K .......... .......... .......... .......... .......... 38% 161M 0s 4050K .......... .......... .......... .......... .......... 39% 2.31M 0s 4100K .......... .......... .......... .......... .......... 39% 15.6M 0s 4150K .......... .......... .......... .......... .......... 40% 180M 0s 4200K .......... .......... .......... .......... .......... 40% 153M 0s 4250K .......... .......... .......... .......... .......... 41% 207M 0s 4300K .......... .......... .......... .......... .......... 41% 181M 0s 4350K .......... .......... .......... .......... .......... 41% 181M 0s 4400K .......... .......... .......... .......... .......... 42% 39.2M 0s 4450K .......... .......... .......... .......... .......... 42% 56.5M 0s 4500K .......... .......... .......... .......... .......... 43% 171M 0s 4550K .......... .......... .......... .......... .......... 43% 65.5M 0s 4600K .......... .......... .......... .......... .......... 44% 150M 0s 4650K .......... .......... .......... .......... .......... 44% 31.6M 0s 4700K .......... .......... .......... .......... .......... 45% 150M 0s 4750K .......... .......... .......... .......... .......... 45% 134M 0s 4800K .......... .......... .......... .......... .......... 46% 123M 0s 4850K .......... .......... .......... .......... .......... 46% 123M 0s 4900K .......... .......... .......... .......... .......... 47% 133M 0s 4950K .......... .......... .......... .......... .......... 47% 12.4M 0s 5000K .......... .......... .......... .......... .......... 48% 167M 0s 5050K .......... .......... .......... .......... .......... 48% 197M 0s 5100K .......... .......... .......... .......... .......... 49% 207M 0s 5150K .......... .......... .......... .......... .......... 49% 214M 0s 5200K .......... .......... .......... .......... .......... 50% 177M 0s 5250K .......... .......... .......... .......... .......... 50% 21.4M 0s 5300K .......... .......... .......... .......... .......... 51% 137M 0s 5350K .......... .......... .......... .......... .......... 51% 124M 0s 5400K .......... .......... .......... .......... .......... 52% 87.2M 0s 5450K .......... .......... .......... .......... .......... 52% 149M 0s 5500K .......... .......... .......... .......... .......... 52% 129M 0s 5550K .......... .......... .......... .......... .......... 53% 101M 0s 5600K .......... .......... .......... .......... .......... 53% 44.8M 0s 5650K .......... .......... .......... .......... .......... 54% 50.2M 0s 5700K .......... .......... .......... .......... .......... 54% 153M 0s 5750K .......... .......... .......... .......... .......... 55% 160M 0s 5800K .......... .......... .......... .......... .......... 55% 135M 0s 5850K .......... .......... .......... .......... .......... 56% 98.7M 0s 5900K .......... .......... .......... .......... .......... 56% 96.3M 0s 5950K .......... .......... .......... .......... .......... 57% 101M 0s 6000K .......... .......... .......... .......... .......... 57% 53.4M 0s 6050K .......... .......... .......... .......... .......... 58% 222M 0s 6100K .......... .......... .......... .......... .......... 58% 38.1M 0s 6150K .......... .......... .......... .......... .......... 59% 148M 0s 6200K .......... .......... .......... .......... .......... 59% 162M 0s 6250K .......... .......... .......... .......... .......... 60% 67.8M 0s 6300K .......... .......... .......... .......... .......... 60% 136M 0s 6350K .......... .......... .......... .......... .......... 61% 23.5M 0s 6400K .......... .......... .......... .......... .......... 61% 143M 0s 6450K .......... .......... .......... .......... .......... 62% 137M 0s 6500K .......... .......... .......... .......... .......... 62% 129M 0s 6550K .......... .......... .......... .......... .......... 62% 135M 0s 6600K .......... .......... .......... .......... .......... 63% 34.5M 0s 6650K .......... .......... .......... .......... .......... 63% 37.5M 0s 6700K .......... .......... .......... .......... .......... 64% 114M 0s 6750K .......... .......... .......... .......... .......... 64% 134M 0s 6800K .......... .......... .......... .......... .......... 65% 128M 0s 6850K .......... .......... .......... .......... .......... 65% 145M 0s 6900K .......... .......... .......... .......... .......... 66% 189M 0s 6950K .......... .......... .......... .......... .......... 66% 43.9M 0s 7000K .......... .......... .......... .......... .......... 67% 127M 0s 7050K .......... .......... .......... .......... .......... 67% 48.8M 0s 7100K .......... .......... .......... .......... .......... 68% 1.53M 0s 7150K .......... .......... .......... .......... .......... 68% 31.1M 0s 7200K .......... .......... .......... .......... .......... 69% 111M 0s 7250K .......... .......... .......... .......... .......... 69% 146M 0s 7300K .......... .......... .......... .......... .......... 70% 106M 0s 7350K .......... .......... .......... .......... .......... 70% 109M 0s 7400K .......... .......... .......... .......... .......... 71% 99.3M 0s 7450K .......... .......... .......... .......... .......... 71% 106M 0s 7500K .......... .......... .......... .......... .......... 72% 40.3M 0s 7550K .......... .......... .......... .......... .......... 72% 123M 0s 7600K .......... .......... .......... .......... .......... 72% 121M 0s 7650K .......... .......... .......... .......... .......... 73% 146M 0s 7700K .......... .......... .......... .......... .......... 73% 114M 0s 7750K .......... .......... .......... .......... .......... 74% 68.2M 0s 7800K .......... .......... .......... .......... .......... 74% 120M 0s 7850K .......... .......... .......... .......... .......... 75% 155M 0s 7900K .......... .......... .......... .......... .......... 75% 75.8M 0s 7950K .......... .......... .......... .......... .......... 76% 138M 0s 8000K .......... .......... .......... .......... .......... 76% 92.8M 0s 8050K .......... .......... .......... .......... .......... 77% 49.2M 0s 8100K .......... .......... .......... .......... .......... 77% 140M 0s 8150K .......... .......... .......... .......... .......... 78% 763K 0s 8200K .......... .......... .......... .......... .......... 78% 99.7M 0s 8250K .......... .......... .......... .......... .......... 79% 90.3M 0s 8300K .......... .......... .......... .......... .......... 79% 99.6M 0s 8350K .......... .......... .......... .......... .......... 80% 105M 0s 8400K .......... .......... .......... .......... .......... 80% 71.2M 0s 8450K .......... .......... .......... .......... .......... 81% 95.1M 0s 8500K .......... .......... .......... .......... .......... 81% 163M 0s 8550K .......... .......... .......... .......... .......... 82% 87.3M 0s 8600K .......... .......... .......... .......... .......... 82% 28.3M 0s 8650K .......... .......... .......... .......... .......... 83% 288M 0s 8700K .......... .......... .......... .......... .......... 83% 276M 0s 8750K .......... .......... .......... .......... .......... 83% 260M 0s 8800K .......... .......... .......... .......... .......... 84% 60.8M 0s 8850K .......... .......... .......... .......... .......... 84% 167M 0s 8900K .......... .......... .......... .......... .......... 85% 36.5M 0s 8950K .......... .......... .......... .......... .......... 85% 156M 0s 9000K .......... .......... .......... .......... .......... 86% 119M 0s 9050K .......... .......... .......... .......... .......... 86% 119M 0s 9100K .......... .......... .......... .......... .......... 87% 105M 0s 9150K .......... .......... .......... .......... .......... 87% 88.6M 0s 9200K .......... .......... .......... .......... .......... 88% 78.4M 0s 9250K .......... .......... .......... .......... .......... 88% 80.2M 0s 9300K .......... .......... .......... .......... .......... 89% 112M 0s 9350K .......... .......... .......... .......... .......... 89% 57.7M 0s 9400K .......... .......... .......... .......... .......... 90% 125M 0s 9450K .......... .......... .......... .......... .......... 90% 127M 0s 9500K .......... .......... .......... .......... .......... 91% 102M 0s 9550K .......... .......... .......... .......... .......... 91% 95.8M 0s 9600K .......... .......... .......... .......... .......... 92% 105M 0s 9650K .......... .......... .......... .......... .......... 92% 102M 0s 9700K .......... .......... .......... .......... .......... 93% 81.1M 0s 9750K .......... .......... .......... .......... .......... 93% 101M 0s 9800K .......... .......... .......... .......... .......... 93% 96.7M 0s 9850K .......... .......... .......... .......... .......... 94% 92.9M 0s 9900K .......... .......... .......... .......... .......... 94% 109M 0s 9950K .......... .......... .......... .......... .......... 95% 106M 0s 10000K .......... .......... .......... .......... .......... 95% 85.7M 0s 10050K .......... .......... .......... .......... .......... 96% 93.0M 0s 10100K .......... .......... .......... .......... .......... 96% 106M 0s 10150K .......... .......... .......... .......... .......... 97% 112M 0s 10200K .......... .......... .......... .......... .......... 97% 76.6M 0s 10250K .......... .......... .......... .......... .......... 98% 115M 0s 10300K .......... .......... .......... .......... .......... 98% 989K 0s 10350K .......... .......... .......... .......... .......... 99% 157M 0s 10400K .......... .......... .......... .......... .......... 99% 153M 0s 10450K .......... .......... .......... 100% 5.40M=0.3s 2023-01-23 15:56:16 (33.4 MB/s) - '/tmp/instance-12/output-1/build/.numpy-1.23.5.tar.gz.yjI1kP/output' saved [10731755/10731755] numpy-1.23.5.tar.gz: OK (sha256: 1b1766d6f397c18153d40015ddfc79ddb715cabadc04d2d228d4e5a8bc4ded1a) >>> python-numpy 1.23.5 Extracting mkdir -p /tmp/instance-12/output-1/per-package/python-numpy/host mkdir -p /tmp/instance-12/output-1/per-package/python-numpy/target gzip -d -c /tmp/instance-12/dl/python-numpy/numpy-1.23.5.tar.gz | tar --strip-components=1 -C /tmp/instance-12/output-1/build/python-numpy-1.23.5 -xf - >>> python-numpy 1.23.5 Patching >>> python-numpy 1.23.5 Configuring mkdir -p /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-ccache/host/ /tmp/instance-12/output-1/per-package/host-ccache/host/ /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-python-cython/host/ /tmp/instance-12/output-1/per-package/host-python-cython/host/ /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-python-setuptools/host/ /tmp/instance-12/output-1/per-package/host-python-setuptools/host/ /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-python3/host/ /tmp/instance-12/output-1/per-package/host-python3/host/ /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-skeleton/host/ /tmp/instance-12/output-1/per-package/host-skeleton/host/ /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/python3/host/ /tmp/instance-12/output-1/per-package/python3/host/ /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/skeleton/host/ /tmp/instance-12/output-1/per-package/skeleton/host/ /tmp/instance-12/output-1/per-package/python-numpy/host rsync -a --link-dest=/tmp/instance-12/output-1/per-package/toolchain/host/ /tmp/instance-12/output-1/per-package/toolchain/host/ /tmp/instance-12/output-1/per-package/python-numpy/host mkdir -p /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-ccache/target/ /tmp/instance-12/output-1/per-package/host-ccache/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-python-cython/target/ /tmp/instance-12/output-1/per-package/host-python-cython/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-python-setuptools/target/ /tmp/instance-12/output-1/per-package/host-python-setuptools/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-python3/target/ /tmp/instance-12/output-1/per-package/host-python3/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/host-skeleton/target/ /tmp/instance-12/output-1/per-package/host-skeleton/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/python3/target/ /tmp/instance-12/output-1/per-package/python3/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/skeleton/target/ /tmp/instance-12/output-1/per-package/skeleton/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rsync -a --link-dest=/tmp/instance-12/output-1/per-package/toolchain/target/ /tmp/instance-12/output-1/per-package/toolchain/target/ /tmp/instance-12/output-1/per-package/python-numpy/target rm -f /tmp/instance-12/output-1/build/python-numpy-1.23.5/site.cfg echo "[DEFAULT]" >> /tmp/instance-12/output-1/build/python-numpy-1.23.5/site.cfg echo "library_dirs = /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib" >> /tmp/instance-12/output-1/build/python-numpy-1.23.5/site.cfg echo "include_dirs = /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/include" >> /tmp/instance-12/output-1/build/python-numpy-1.23.5/site.cfg >>> python-numpy 1.23.5 Building (cd /tmp/instance-12/output-1/build/python-numpy-1.23.5//; _PYTHON_HOST_PLATFORM="linux-mipsel" _PYTHON_PROJECT_BASE="/tmp/instance-12/output-1/build/python3-3.11.1" _PYTHON_SYSCONFIGDATA_NAME="`{ [ -e /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11//_sysconfigdata__linux_*.py ] && basename /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11//_sysconfigdata__linux_*.py .py; } || true`" PATH="/tmp/instance-12/output-1/per-package/python-numpy/host/bin:/tmp/instance-12/output-1/per-package/python-numpy/host/sbin:/home/autobuild/make:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin" PATH="/tmp/instance-12/output-1/per-package/python-numpy/host/bin:/tmp/instance-12/output-1/per-package/python-numpy/host/sbin:/home/autobuild/make:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin" AR="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gcc-ar" AS="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-as" LD="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-ld" NM="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gcc-nm" CC="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gcc" GCC="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gcc" CPP="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-cpp" CXX="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-g++" FC="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gfortran" F77="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gfortran" RANLIB="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gcc-ranlib" READELF="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-readelf" STRIP="/bin/true" OBJCOPY="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-objcopy" OBJDUMP="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-objdump" AR_FOR_BUILD="/usr/bin/ar" AS_FOR_BUILD="/usr/bin/as" CC_FOR_BUILD="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/ccache /usr/bin/gcc" GCC_FOR_BUILD="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/ccache /usr/bin/gcc" CXX_FOR_BUILD="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/ccache /usr/bin/g++" LD_FOR_BUILD="/usr/bin/ld" CPPFLAGS_FOR_BUILD="-I/tmp/instance-12/output-1/per-package/python-numpy/host/include" CFLAGS_FOR_BUILD="-O2 -I/tmp/instance-12/output-1/per-package/python-numpy/host/include" CXXFLAGS_FOR_BUILD="-O2 -I/tmp/instance-12/output-1/per-package/python-numpy/host/include" LDFLAGS_FOR_BUILD="-L/tmp/instance-12/output-1/per-package/python-numpy/host/lib -Wl,-rpath,/tmp/instance-12/output-1/per-package/python-numpy/host/lib" FCFLAGS_FOR_BUILD="" DEFAULT_ASSEMBLER="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-as" DEFAULT_LINKER="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-ld" CPPFLAGS="-D_LARGEFILE_SOURCE -D_LARGEFILE64_SOURCE -D_FILE_OFFSET_BITS=64" CFLAGS="-D_LARGEFILE_SOURCE -D_LARGEFILE64_SOURCE -D_FILE_OFFSET_BITS=64 -Ofast -g3 -D_FORTIFY_SOURCE=1" CXXFLAGS="-D_LARGEFILE_SOURCE -D_LARGEFILE64_SOURCE -D_FILE_OFFSET_BITS=64 -Ofast -g3 -D_FORTIFY_SOURCE=1" LDFLAGS="" FCFLAGS=" -Ofast -g3" FFLAGS=" -Ofast -g3" PKG_CONFIG="/tmp/instance-12/output-1/per-package/python-numpy/host/bin/pkg-config" STAGING_DIR="/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot" INTLTOOL_PERL=/usr/bin/perl CXX=no PYTHONPATH="/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/" PYTHONNOUSERSITE=1 _python_sysroot=/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot _python_prefix=/usr _python_exec_prefix=/usr SETUPTOOLS_USE_DISTUTILS=stdlib BLAS=None LAPACK=None /tmp/instance-12/output-1/per-package/python-numpy/host/bin/python setup.py build --fcompiler=None) Running from numpy source directory. /tmp/instance-12/output-1/build/python-numpy-1.23.5/setup.py:86: DeprecationWarning: `numpy.distutils` is deprecated since NumPy 1.23.0, as a result of the deprecation of `distutils` itself. It will be removed for Python >= 3.12. For older Python versions it will remain present. It is recommended to use `setuptools < 60.0` for those Python versions. For more details, see: https://numpy.org/devdocs/reference/distutils_status_migration.html import numpy.distutils.command.sdist Processing numpy/random/_bounded_integers.pxd.in Processing numpy/random/mtrand.pyx Processing numpy/random/bit_generator.pyx Processing numpy/random/_sfc64.pyx Processing numpy/random/_philox.pyx Processing numpy/random/_pcg64.pyx Processing numpy/random/_mt19937.pyx Processing numpy/random/_generator.pyx Processing numpy/random/_common.pyx Processing numpy/random/_bounded_integers.pyx.in Cythonizing sources INFO: blas_opt_info: INFO: blas_armpl_info: INFO: customize UnixCCompiler INFO: libraries armpl_lp64_mp not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: blas_mkl_info: INFO: libraries mkl_rt not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: blis_info: INFO: libraries blis not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: openblas_info: INFO: libraries openblas not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: accelerate_info: INFO: NOT AVAILABLE INFO: INFO: atlas_3_10_blas_threads_info: INFO: Setting PTATLAS=ATLAS INFO: libraries tatlas not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: atlas_3_10_blas_info: INFO: libraries satlas not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: atlas_blas_threads_info: INFO: Setting PTATLAS=ATLAS INFO: libraries ptf77blas,ptcblas,atlas not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: atlas_blas_info: INFO: libraries f77blas,cblas,atlas not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: /tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/system_info.py:2077: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): INFO: blas_info: INFO: Disabled blas_info: (BLAS is None) INFO: libraries blas not found in [] INFO: NOT AVAILABLE INFO: /tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/system_info.py:2077: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): INFO: blas_src_info: INFO: NOT AVAILABLE INFO: /tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/system_info.py:2077: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): INFO: NOT AVAILABLE INFO: INFO: lapack_opt_info: INFO: lapack_armpl_info: INFO: libraries armpl_lp64_mp not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: lapack_mkl_info: INFO: libraries mkl_rt not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: openblas_lapack_info: INFO: libraries openblas not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: openblas_clapack_info: INFO: libraries openblas,lapack not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: flame_info: INFO: libraries flame not found in ['/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib'] INFO: NOT AVAILABLE INFO: INFO: atlas_3_10_threads_info: INFO: Setting PTATLAS=ATLAS INFO: libraries tatlas,tatlas not found in /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib INFO: INFO: NOT AVAILABLE INFO: INFO: atlas_3_10_info: INFO: libraries satlas,satlas not found in /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib INFO: INFO: NOT AVAILABLE INFO: INFO: atlas_threads_info: INFO: Setting PTATLAS=ATLAS INFO: libraries ptf77blas,ptcblas,atlas not found in /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib INFO: INFO: NOT AVAILABLE INFO: INFO: atlas_info: INFO: libraries f77blas,cblas,atlas not found in /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib INFO: INFO: NOT AVAILABLE INFO: INFO: lapack_info: INFO: Disabled lapack_info: (LAPACK is None) INFO: libraries lapack not found in [] INFO: NOT AVAILABLE INFO: /tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/system_info.py:1902: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. return getattr(self, '_calc_info_{}'.format(name))() INFO: lapack_src_info: INFO: NOT AVAILABLE INFO: /tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/system_info.py:1902: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. return getattr(self, '_calc_info_{}'.format(name))() INFO: NOT AVAILABLE INFO: INFO: numpy_linalg_lapack_lite: INFO: FOUND: INFO: language = c INFO: define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')] INFO: Warning: attempted relative import with no known parent package /tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/distutils/dist.py:274: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running build running config_cc INFO: unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc INFO: unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src INFO: build_src INFO: building py_modules sources creating build creating build/src.linux-mipsel-3.11 creating build/src.linux-mipsel-3.11/numpy creating build/src.linux-mipsel-3.11/numpy/distutils INFO: building library "npymath" sources WARN: don't know how to compile Fortran code on platform 'posix' with 'None' compiler. Supported compilers are: vast,sun,pg,flang,pathf95,nv,none,nag,nagfor,mips,lahey,intel,intelv,intele,intelev,intelvem,intelem,ibm,hpux,gnu,gnu95,g95,fujitsu,compaq,arm,absoft) WARN: Could not locate executable armflang WARN: Could not locate executable /tmp/instance-12/output-1/per-package/python-numpy/host/bin/mipsel-buildroot-linux-gnu-gfortran WARN: Could not locate executable gfortran WARN: Could not locate executable f95 WARN: Could not locate executable ifort WARN: Could not locate executable ifc WARN: Could not locate executable lf95 WARN: Could not locate executable pgfortran WARN: Could not locate executable nvfortran WARN: Could not locate executable f90 WARN: Could not locate executable fort WARN: Could not locate executable efort WARN: Could not locate executable efc WARN: Could not locate executable g77 WARN: Could not locate executable f77 WARN: Could not locate executable g95 WARN: Could not locate executable pathf95 WARN: Could not locate executable nagfor WARN: Could not locate executable frt WARN: don't know how to compile Fortran code on platform 'posix' [Errno 2] No such file or directory: 'no' Traceback (most recent call last): File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/setup.py", line 494, in setup_package() File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/setup.py", line 486, in setup_package setup(**metadata) File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/core.py", line 169, in setup return old_setup(**new_attr) ^^^^^^^^^^^^^^^^^^^^^ File "/tmp/instance-12/output-1/per-package/python-numpy/host/lib/python3.11/site-packages/setuptools/__init__.py", line 87, in setup return distutils.core.setup(**attrs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/distutils/core.py", line 148, in setup dist.run_commands() File "/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/distutils/dist.py", line 966, in run_commands self.run_command(cmd) File "/tmp/instance-12/output-1/per-package/python-numpy/host/lib/python3.11/site-packages/setuptools/dist.py", line 1208, in run_command super().run_command(command) File "/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/command/build.py", line 62, in run old_build.run(self) File "/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/distutils/command/build.py", line 135, in run self.run_command(cmd_name) File "/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/distutils/cmd.py", line 313, in run_command self.distribution.run_command(command) File "/tmp/instance-12/output-1/per-package/python-numpy/host/lib/python3.11/site-packages/setuptools/dist.py", line 1208, in run_command super().run_command(command) File "/tmp/instance-12/output-1/per-package/python-numpy/host/mipsel-buildroot-linux-gnu/sysroot/usr/lib/python3.11/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/command/build_src.py", line 144, in run self.build_sources() File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/command/build_src.py", line 155, in build_sources self.build_library_sources(*libname_info) File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/command/build_src.py", line 288, in build_library_sources sources = self.generate_sources(sources, (lib_name, build_info)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/distutils/command/build_src.py", line 378, in generate_sources source = func(extension, build_dir) ^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/tmp/instance-12/output-1/build/python-numpy-1.23.5/numpy/core/setup.py", line 758, in get_mathlib_info raise RuntimeError( RuntimeError: Broken toolchain: cannot link a simple C++ program. note: A compiler with support for C++11 language features is required. make: *** [package/pkg-generic.mk:293: /tmp/instance-12/output-1/build/python-numpy-1.23.5/.stamp_built] Error 1 make: Leaving directory '/tmp/instance-12/buildroot'