Fetching contributors…
Cannot retrieve contributors at this time
67 lines (49 sloc) 2.85 KB

PyWavelets pull request guidelines

Pull requests are always welcome, and the PyWavelets community appreciates any help you give.

When submitting a pull request, we ask you check the following:

  1. Unit tests, documentation, and code style are in order. See below for details.

    It's also OK to submit work in progress if you're unsure of what this exactly means, in which case you'll likely be asked to make some further changes.

  2. The contributed code will be licensed under PyWavelets's license, (the MIT license, If you did not write the code yourself, you ensure the existing license is compatible and include the license information in the contributed files, or obtain a permission from the original author to relicense the contributed code.

Coding guidelines

  1. Unit tests
    In principle you should aim to create unit tests that exercise all the code that you are adding. This gives some degree of confidence that your code runs correctly, also on Python versions and hardware or OSes that you don't have available yourself. An extensive description of how to write unit tests is given in the NumPy testing guidelines.
  2. Documentation
    Clear and complete documentation is essential in order for users to be able to find and understand the code. Documentation for individual functions and classes -- which includes at least a basic description, type and meaning of all parameters and returns values, and usage examples in doctest format -- is put in docstrings. Those docstrings can be read within the interpreter, and are compiled into a reference guide in html and pdf format. Higher-level documentation for key (areas of) functionality is provided in tutorial format and/or in module docstrings. A guide on how to write documentation is given in the numpydoc docstring guide.
  3. Code style
    Uniformity of style in which code is written is important to others trying to understand the code. PyWavelets follows the standard Python guidelines for code style, PEP8. In order to check that your code conforms to PEP8, you can use the pep8 package style checker. Most IDEs and text editors have settings that can help you follow PEP8, for example by translating tabs by four spaces. Using pyflakes to check your code is also a good idea.