turfLP/.github/workflows/python.yaml at main · aigorahub/turfLP · GitHub

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# Python package: tests (including the shared conformance suite) on three
# platforms, from the lock file, plus one job at the minimum supported highspy.
on:
  push:
  pull_request:

name: python.yaml

permissions: read-all

jobs:
  test:
    runs-on: ${{ matrix.os }}
    name: ${{ matrix.os }} (Python ${{ matrix.python }})
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest, macos-latest, windows-latest]
        python: ["3.10", "3.13"]
    defaults:
      run:
        working-directory: python
    steps:
      - uses: actions/checkout@v6
      - uses: astral-sh/setup-uv@v10.2.0
      - run: uv sync --locked --extra test --python ${{ matrix.python }}
      - run: uv run --locked python -c "import highspy; print('HiGHS', highspy.Highs().version())"
      - run: uv run --locked pytest -q

  minimum:
    runs-on: ubuntu-latest
    name: ubuntu-latest (minimum highspy)
    defaults:
      run:
        working-directory: python
    steps:
      - uses: actions/checkout@v6
      - uses: astral-sh/setup-uv@v10.2.0
      - run: uv venv --python 3.10
      - run: uv pip install -e ".[test]" "highspy==1.15.1"
      - run: uv run --no-sync pytest -q

  package:
    runs-on: ubuntu-latest
    name: build and install the wheel
    defaults:
      run:
        working-directory: python
    steps:
      - uses: actions/checkout@v6
      - uses: astral-sh/setup-uv@v10.2.0
      - run: uv build
      - run: |
          uv venv /tmp/clean --python 3.12
          uv pip install --python /tmp/clean dist/*.whl
          cd /tmp && /tmp/clean/bin/python -c "
          import turflp
          from turflp import datasets
          tie = [[0,1,0,0,1],[0,0,1,1,1],[0,0,1,1,0],[0,1,0,0,1],[0,0,1,0,1],[1,0,0,1,0],[1,1,0,0,0],[0,1,1,0,1]]
          p = turflp.turf(tie, 2)
          assert p.products == (1, 2) and p.reach == 7, p
          assert datasets.load('cafe').values.shape == (2500, 40)
          print('clean install ok')"