unit_test.yml

name: Unit tests

on: [pull_request]

jobs:
  build:

    runs-on: ${{ matrix.os }}
    continue-on-error: false
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest, macos-latest, windows-latest]
        python-version: ["3.11", "3.12", "3.13"]
        exclude:
          - os: windows-latest
            python-version: "3.13"
        # Windows chokes on py3.13: https://github.com/numpy/numpy/issues/27894
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: ${{ matrix.python-version }}
          cache: 'pip'
      # You can test your matrix by printing the current Python version
      - name: Display Python version
        run: python -c "import sys; print(sys.version)"
      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install torch --extra-index-url https://download.pytorch.org/whl/cpu
          pip install -r requirements.txt
      - name: Install libomp (macOS)
        if: runner.os == 'macOS'
        run: brew install libomp
      - name: Test with pytest
        run: |
          pip install pytest pytest-cov
          python -m pytest --doctest-modules --junitxml=junit/test-results.xml --cov=. --cov-report=xml --cov-report=html -r w ${{ runner.os == 'macOS' && '-k "not test_deep_learning_algorithms"' || '' }}
          python -m pytest --doctest-modules --junitxml=junit/test-results-brain.xml --cov=. --cov-report=xml --cov-report=html --dataFile tests/IVIMmodels/unit_tests/generic_brain.json -r w -k test_ivim_fit_saved