Implement TimeMixer as an imputation model #732
Workflow file for this run
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| name: CI | |
| on: | |
| push: | |
| branches: | |
| - main | |
| - dev | |
| - temp_test_branch # if in need, create such a temporary branch to test some functions | |
| pull_request: | |
| branches: | |
| - dev | |
| jobs: | |
| CI-testing: | |
| runs-on: ${{ matrix.os }} | |
| defaults: | |
| run: | |
| shell: bash | |
| strategy: | |
| fail-fast: false | |
| matrix: | |
| os: [ubuntu-latest, windows-latest, macOS-latest] | |
| python-version: ["3.8", "3.11"] | |
| pytorch-version: ["2.3.0"] | |
| steps: | |
| - name: Check out the repo code | |
| uses: actions/checkout@v3 | |
| - name: Set up Python | |
| uses: actions/setup-python@v4 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| check-latest: true | |
| cache: pip | |
| cache-dependency-path: | | |
| requirements/requirements.txt | |
| requirements/requirements_dev.txt | |
| - name: Install PyTorch ${{ matrix.pytorch-version }}+cpu | |
| # we have to install torch in advance because torch_sparse needs it for compilation, | |
| # refer to https://github.com/rusty1s/pytorch_sparse/issues/156#issuecomment-1304869772 for details | |
| run: | | |
| which python | |
| which pip | |
| pip install torch==${{ matrix.pytorch-version }} -f https://download.pytorch.org/whl/cpu | |
| python -c "import torch; print('PyTorch:', torch.__version__)" | |
| - name: Install other dependencies | |
| run: | | |
| pip install -r requirements/requirements.txt | |
| pip install numpy==1.24 # many libs not compatible with numpy 2.0. Note 3.12 requests for numpy>=2.0 | |
| pip install pandas==1.5 # fix pandas version to avoid installing pandas 2.0, the same reason with numpy | |
| - name: Test building package | |
| # we need to know if the package can be built successfully without optional dependencies | |
| run: | | |
| pip install build wheel | |
| python -m build | |
| - name: Continue to install torch-geometric dependencies | |
| run: | | |
| pip install torch-geometric torch-scatter torch-sparse -f "https://data.pyg.org/whl/torch-${{ matrix.pytorch-version }}+cpu.html" | |
| pip install pypots[dev] | |
| python_site_path=`python -c "import site; print(site.getsitepackages()[0])"` | |
| echo "python site-packages path: $python_site_path" | |
| rm -rf $python_site_path/pypots | |
| python -c "import shutil;import site;shutil.copytree('pypots',site.getsitepackages()[0]+'/pypots')" | |
| - name: Fetch the test environment details | |
| run: | | |
| which python | |
| pip list | |
| - name: Test with pytest | |
| run: | | |
| rm -rf testing_results && rm -rf tests/__pycache__ && rm -rf tests/*/__pycache__ | |
| python tests/global_test_config.py | |
| python -m pytest -rA tests/*/* -s -n auto --cov=pypots --dist=loadgroup --cov-config=.coveragerc | |
| - name: Generate the LCOV report | |
| run: | | |
| python -m coverage lcov | |
| - name: Submit the report | |
| uses: coverallsapp/github-action@master | |
| with: | |
| github-token: ${{ secrets.GITHUB_TOKEN }} | |
| path-to-lcov: "coverage.lcov" |