Contributing

Active-learning-driven adaptive experimentation in psychophysics

Dev setup

git clone https://flatironinstitute.github.io/psyphy.git
cd psyphy
pip install -e .

Code Quality

worfklow

We use Ruff for linting and formatting, mypy for type checking, and pre-commit to automate checks.

Pre-commit Hooks (Automatic)

Install once during initial setup:

pre-commit install

Now hooks run automatically when you commit:

git add .
git commit -m "Add new feature"

# Automatically runs:
# ✓ ruff check --fix    (lints and auto-fixes)
# ✓ ruff format          (formats code, wraps long lines)
# ✓ mypy                 (type checks)
# ✓ trailing-whitespace  (removes trailing spaces)
# ✓ end-of-file-fixer    (ensures files end with newline)
# ... and more

# If hooks modify files, review and commit again:
git add .
git commit -m "Add new feature"

To run all hooks manually without committing:

pre-commit run --all-files

Linting & Formatting (Manual)

When developing, you can run checks manually:

# Quick option: Use Makefile
make format        # Format code
make lint-fix      # Lint and auto-fix
make type-check    # Type check
make test          # Run tests
make all           # Run all checks

# Or use Ruff directly:
ruff format src/ tests/              # Format code
ruff check src/ tests/ --fix         # Lint with auto-fix
ruff check src/ tests/               # Lint only (no fixes)
ruff format --check src/ tests/      # Check formatting (no changes)

Type Checking

We use mypy for static type analysis:

mypy src/psyphy tests/

Running Tests

pytest -v

All Checks (CI simulation)

Run all checks locally before pushing:

ruff check src/ tests/
ruff format --check src/ tests/
mypy src/psyphy tests/
pytest

Docs: build & serve

Install doc dependencies:

pip install mkdocs mkdocs-material mkdocstrings[python]

Build/serve locally (auto-reload):

mkdocs serve

Deploy (manual):

mkdocs gh-deploy --clean

We use NumPy-style docstrings for API reference via mkdocstrings.