Contributing#
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions#
Report Bugs#
Report bugs at wavespectra/wavespectra#issues.
If you are reporting a bug, please include:
Your operating system name and version.
Any details about your local setup that might be helpful in troubleshooting.
Detailed steps to reproduce the bug.
Fix Bugs#
Look through the GitHub issues for bugs. Anything tagged with “bug” and “help wanted” is open to whoever wants to implement it.
Implement Features#
Look through the GitHub issues for features. Anything tagged with “enhancement” and “help wanted” is open to whoever wants to implement it.
Write Documentation#
wavespectra could always use more documentation, whether as part of the official wavespectra docs, in docstrings, or even on the web in blog posts, articles, and such.
Submit Feedback#
The best way to send feedback is to file an issue at wavespectra/wavespectra#issues.
If you are proposing a feature:
Explain in detail how it would work.
Keep the scope as narrow as possible, to make it easier to implement.
Remember that this is a volunteer-driven project, and that contributions are welcome :)
Get Started!#
Ready to contribute? Here’s how to set up wavespectra for local development.
Fork the wavespectra repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/wavespectra.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv wavespectra $ cd wavespectra/ $ pip install -e '.[extra,test]'
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you’re done making changes, check that your changes pass the linter and the tests:
$ ruff check wavespectra tests $ ruff format --check wavespectra tests $ pytest tests
ruff and pytest are installed with the
testextra. The full python version matrix is tested by the CI when you push.Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines#
Before you submit a pull request, check that it meets these guidelines:
The pull request should include tests.
If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
The pull request should work for all supported Python versions. The GitHub Actions workflow runs the test suite across the full version matrix when you push to your branch; make sure it passes.
Tips#
To run a subset of tests:
$ pytest tests/test_specarray.py
Packaging Notes#
Some of the packaging settings in pyproject.toml are not self-explanatory,
the reasoning behind them is recorded here.
[project] dependenciesnumpyis declared explicitly because the compiledspecpartextension links the numpy C API, even though numpy would also be installed transitively throughscipyandxarray.[tool.setuptools.packages.find] includePackages are listed explicitly so that stray top-level directories created at build time, such as cibuildwheel’s
wheelhouse, do not break the flat-layout auto-discovery.[tool.cibuildwheel] buildThe CPython versions to build wheels for, which should be kept in sync with the supported range in the classifiers and in the test matrix of the testing workflow. Free-threaded builds use separate
cp3XXt-*identifiers so they are not built unless they are listed here.[tool.cibuildwheel] archs64-bit only. 32-bit Windows wheels would be built by default but core dependencies such as matplotlib no longer ship win32 wheels to test the built wheels against.
[tool.cibuildwheel] skipmusl-based linux wheels are not built, they can be added if there is demand for them.
[tool.cibuildwheel] test-requiresandtest-commandEvery built wheel is tested by running the partition test module, which exercises the compiled
specpartextension end to end. This requires netCDF4 to be available for the wheels of every Python version built.[tool.pytest.ini_options] filterwarningsnetCDF4-python sets the
shapeattribute on numpy arrays, which numpy 2.5 deprecated. It surfaces through the xarray netCDF4 backend whenever a netcdf file is written and is a third-party issue, nothing to fix in wavespectra.[tool.ruff.lint] extend-selectB015 and B018 flag comparisons and expressions whose result is discarded, which in tests almost always means a forgotten
assert.
Deploying#
A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.rst). Then run:
$ tbump <new-version>
and publish a release on GitHub. The GitHub Actions workflow will then run the tests, build the wheels and the source distribution and deploy to PyPI.