Open asortubay opened 7 months ago
Preparing transaction: done Verifying transaction: done Executing transaction: done Installing pip dependencies: / Ran pip subprocess with arguments: ['/usr/local/envs/hactnet/bin/python', '-m', 'pip', 'install', '-U', '-r', '/content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt', '--exists-action=b'] Pip subprocess output: Collecting torch>=1.4.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 1)) Downloading torch-2.2.2-cp312-cp312-manylinux1_x86_64.whl.metadata (25 kB) Collecting dgl>=0.5.1 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 2)) Downloading dgl-2.1.0-cp312-cp312-manylinux1_x86_64.whl.metadata (553 bytes) Collecting tqdm>=4.35.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 3)) Downloading tqdm-4.66.2-py3-none-any.whl.metadata (57 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.6/57.6 kB 3.0 MB/s eta 0:00:00 Collecting mlflow>=1.6.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 4)) Downloading mlflow-2.12.1-py3-none-any.whl.metadata (29 kB) Collecting pandas>=0.24.2 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 5)) Downloading pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) Collecting matplotlib>=3.1.1 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 6)) Downloading matplotlib-3.8.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB) Collecting h5py>=2.9.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 7)) Downloading h5py-3.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.5 kB) Collecting sklearn (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 8)) Downloading sklearn-0.0.post12.tar.gz (2.6 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'error'
Pip subprocess error: error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed
× Encountered error while generating package metadata. ╰─> See above for output.
note: This is an issue with the package mentioned above, not pip. hint: See above for details.failed
CondaEnvException: Pip failed
Preparing transaction: done Verifying transaction: done Executing transaction: done Installing pip dependencies: / Ran pip subprocess with arguments: ['/usr/local/envs/hactnet/bin/python', '-m', 'pip', 'install', '-U', '-r', '/content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt', '--exists-action=b'] Pip subprocess output: Collecting torch>=1.4.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 1)) Downloading torch-2.2.2-cp312-cp312-manylinux1_x86_64.whl.metadata (25 kB) Collecting dgl>=0.5.1 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 2)) Downloading dgl-2.1.0-cp312-cp312-manylinux1_x86_64.whl.metadata (553 bytes) Collecting tqdm>=4.35.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 3)) Downloading tqdm-4.66.2-py3-none-any.whl.metadata (57 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 57.6/57.6 kB 3.0 MB/s eta 0:00:00 Collecting mlflow>=1.6.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 4)) Downloading mlflow-2.12.1-py3-none-any.whl.metadata (29 kB) Collecting pandas>=0.24.2 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 5)) Downloading pandas-2.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) Collecting matplotlib>=3.1.1 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 6)) Downloading matplotlib-3.8.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.8 kB) Collecting h5py>=2.9.0 (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 7)) Downloading h5py-3.11.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (2.5 kB) Collecting sklearn (from -r /content/drive/MyDrive/hact-net-onbracs/hact-net/condaenv.4lthjbvu.requirements.txt (line 8)) Downloading sklearn-0.0.post12.tar.gz (2.6 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'error'
Pip subprocess error: error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip. error: metadata-generation-failed
× Encountered error while generating package metadata. ╰─> See above for output.
note: This is an issue with the package mentioned above, not pip. hint: See above for details.failed
CondaEnvException: Pip failed