Testing

jacscanomaly uses pytest for unit tests and coverage for coverage measurement. The initial tests focus on deterministic core components:

• season splitting,

• candidate quality criteria,

• result summaries,

• cluster extraction,

• weighted linear photometry utilities.

Install the test dependencies with:

pip install -e ".[test]"

Run the unit tests:

pytest

Run the tests with coverage:

coverage run -m pytest
coverage report

Build the documentation locally:

pip install -e ".[docs]"
sphinx-build -b html docs docs/_build/html

Current scope

The first test suite intentionally avoids full survey-scale fits. Those tests are more expensive and should be added later as integration tests with small fixed light curves. Unit tests should stay fast enough to run on every commit.

See also Development for the expected local checks before pushing.