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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 https://github.com/Jhsmit/hdxms_datasets/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

HDXMS Datasets could always use more documentation, whether as part of the official HDXMS Datasets 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 https://github.com/Jhsmit/hdxms_datasets/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 hdxms_datasets for local development.

  1. Fork the hdxms_datasets repo on GitHub.

  2. Clone your fork locally:

    $ git clone git@github.com:your_name_here/hdxms_datasets.git

  3. Install your local copy into a conda env:

    $ conda create --name hdxms_datasets
$ conda activate hdxms_datasets/
$ conda develop

  4. Create a branch for local development:

    $ git checkout -b name-of-your-bugfix-or-feature

    Now you can make your changes locally.

  5. When you're done making changes, check that your changes pass linters and the tests:

    $ invoke tests.all

  6. 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

  7. Submit a pull request through the GitHub website.

Pull Request Guidelines

Before you submit a pull request, check that it meets these guidelines:

  1. The pull request should include tests.
  2. 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.
  3. The pull request should work for Python 3.8 and 3.9, and for PyPy. Check GitHub actions and make sure that the tests pass for all supported Python versions.

Tips

To run a subset of tests:

$ pytest tests.test_hdxms_datasets

Deploying

A reminder for the maintainers on how to deploy. Make sure all your changes are committed. Then create a new release on GitHub. GitHub Actions will now automatically deploy to PyPi. Next, if the project is also on conda-forge, update the feedstock recipe.