Rationalize dependencies sources #231
Workflow file for this run
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| # This workflow will install Python dependencies, run tests and lint with a single version of Python | |
| # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python | |
| name: Tests | |
| on: | |
| push: | |
| branches: [ "main" ] | |
| pull_request: | |
| branches: [ "main" ] | |
| permissions: | |
| contents: read | |
| jobs: | |
| tests: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| - name: Set up Python 3.10 | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: "3.10" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements.txt | |
| pip install -r requirements_lint.txt | |
| pip install --timeout 1000 pyg-lib==0.4.0 torch-scatter==2.1.2 torch-sparse==0.6.18 torch-cluster==1.6.2 torch-geometric==2.3.1 -f https://data.pyg.org/whl/torch-2.1.2+cpu.html | |
| pip install --editable . | |
| - name: Lint | |
| run: | | |
| ./lint.sh . | |
| - name: Integration Test with pytest | |
| run: | | |
| export PY4CAST_ROOTDIR=`pwd` | |
| coverage run -p -m pytest tests/ | |
| coverage run -p bin/train.py --precision 32 --model halfunet --model_conf config/models/halfunet32.json --dataset dummy --epochs 1 --batch_size 1 --num_pred_steps_train 1 --limit_train_batches 1 --num_workers 1 | |
| coverage run -p bin/train.py --precision 32 --model halfunet --model_conf config/models/halfunet32.json --dataset dummy --epochs 1 --batch_size 1 --num_pred_steps_train 1 --limit_train_batches 1 --num_workers 1 --strategy scaled_ar | |
| coverage run -p bin/inference.py --dataset dummy --model_path /home/runner/work/py4cast/py4cast/logs/camp0/dummy/halfunet/runn_run_0/ | |
| coverage run -p bin/train.py --precision 32 --model hilam --dataset dummy --epochs 1 --batch_size 1 --num_pred_steps_train 1 --limit_train_batches 1 --num_workers 1 --pin_memory | |
| coverage run -p bin/train.py --precision 32 --model unetrpp --dataset dummy --epochs 1 --batch_size 1 --num_pred_steps_train 1 --limit_train_batches 1 --num_workers 1 | |
| coverage combine | |
| coverage report --ignore-errors --fail-under=60 |