Running and writing tests#

All functionality in kikuchipy is tested via the pytest framework. The tests reside in a test directory within each module. Tests are short methods that call functions in kikuchipy and compare resulting output values with known answers. Install necessary dependencies to run the tests:

pip install --editable .[tests]

Some useful fixtures, like a dummy scan and corresponding background pattern, are available in the file.


Some module tests check that data not part of the package distribution can be downloaded from the kikuchipy-data GitHub repository, thus downloading some datasets of ~15 MB to your local cache.

To run the tests:

pytest --cov --pyargs kikuchipy

The --cov flag makes print a nice report in the terminal. For an even nicer presentation, you can use directly:

coverage html

Then, you can open the created htmlcov/index.html in the browser and inspect the coverage in more detail.

To run only a specific test function or class, .e.g the TestEBSD class:

pytest -k TestEBSD

This is useful when you only want to run a specific test and not the full test suite, e.g. when you’re creating or updating a test. But remember to run the full test suite before pushing!

Docstring examples are tested with pytest as well. If you’re in the top directory you can run:

pytest --doctest-modules --ignore-glob=kikuchipy/*/tests kikuchipy/*.py

Tips for writing tests of Numba decorated functions:

  • A Numba decorated function numba_func() is only covered if it is called in the test as numba_func.py_func().

  • Always test a Numba decorated function calling numba_func() directly, in addition to numba_func.py_func(), because the machine code function might give different results on different OS with the same Python code. See this issue for a case where this happened.