hyperhyper/.github/workflows/ci.yml at main · jfilter/hyperhyper · GitHub

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name: CI

on:
  push:
    branches: [main]
  pull_request:
  workflow_dispatch:

concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v5
      - uses: astral-sh/setup-uv@v9.0.0
      - run: uv sync --locked --group dev
      - run: uv run ruff check .
      - run: uv run ruff format --check .

  test:
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        python-version: ["3.10", "3.11", "3.12", "3.13"]
    steps:
      - uses: actions/checkout@v5
      - uses: astral-sh/setup-uv@v9.0.0
        with:
          python-version: ${{ matrix.python-version }}
      - run: uv sync --locked --extra full --group dev
      # no spaCy model here on purpose: `-m "not slow"` deselects every test
      # that needs it, and downloading it costs ~12 MB per matrix entry
      - run: uv run pytest -m "not slow"

  test-slow:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v5
      - uses: astral-sh/setup-uv@v9.0.0
        with:
          python-version: "3.12"
      - run: uv sync --locked --extra full --group dev
      - run: uv run python -m spacy download en_core_web_sm
      - run: uv run pytest -m slow

  # The lockfile pins the newest of everything, so the matrix above only ever
  # proves the package works at the TOP of its declared ranges. This job proves
  # the BOTTOM -- the lower bounds in pyproject.toml are a promise to anyone
  # installing into an environment that already has older packages. It caught
  # scipy>=1.11 being a version too low for sparse.diags_array.
  floor:
    runs-on: ubuntu-latest
    strategy:
      fail-fast: false
      matrix:
        python-version: ["3.10", "3.13"]
    steps:
      - uses: actions/checkout@v5
      - uses: astral-sh/setup-uv@v9.0.0
        with:
          python-version: ${{ matrix.python-version }}
      # --resolution lowest-direct: oldest version satisfying each declared
      # bound. --only-binary keeps it to real wheels, so this measures what a
      # user actually gets rather than a source build.
      # (quoted: the ":all: " in --only-binary is a mapping to bare YAML)
      # `uv pip install` needs an environment; unlike `uv sync` it creates none.
      - run: uv venv
      - run: 'uv pip install --only-binary :all: --resolution lowest-direct -e ".[full]" "pytest>=9.0.3"'
      - run: uv pip list
      - run: uv run --no-sync pytest -m "not slow"