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CONTRIBUTING.md

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Contributing guidelines

How to contribute

The preferred way to contribute to nkululeko is to fork the main repository on GitHub:

  1. Fork the project repository: click on the 'Fork' button near the top of the page. This creates a copy of the code under your account on the GitHub server.

  2. Clone this copy to your local disk:

    • Using SSH:
    git clone [email protected]:YourLogin/nkululeko.git
cd nkululeko
    • Using HTTPS:
    git clone https://github.com/YourLogin/nkululeko.git
cd nkululeko

  3. Remove any previously installed nkululeko versions, then install your local copy with testing dependencies:

    pip uninstall nkululeko
pip install .

  4. Create a branch to hold your changes:

    git checkout -b my-feature

  5. Start making changes.

    -> Please never work directly on the `master` branch!

  6. Once you are done, make sure to format the code using black to fit Nkululeko's codestyle.

    black nkululeko/
isort --profile black nkululeko/
# Alternatively and additionaly, use ruff:
ruff check --fix --output-format=full nkululeko

  7. Make sure that the tests succeed and have enough coverage.

    ./run_tests2 all

  8. Use Git for the to do the version controlling of this copy. When you're done editing, you know the drill add, commit then push:

    git add modified_files
git commit

    to record your changes in Git, push them to GitHub with:

    git push -u origin my-feature

  9. Finally, go to the web page of your nkululeko fork repo, and click 'Pull request' button to send your changes to the maintainers to review.

Remarks

It is recommended to check that your contribution complies with the following rules before submitting a pull request:

  • All public methods should have informative docstrings with sample usage presented.

    You can also check for common programming errors with the following tools:

  • Check code formatting using black:

    black --check nkululeko

Filing bugs

We use Github issues to track all bugs and feature requests. In the case of coming across a bug, having a question or a feature suggestion etc. please feel free to open an issue.

Please check that your issue complies with the following rules before submitting:

  • Verify that your issue is not being currently addressed by in other issues or pull requests.

  • Please ensure all code snippets and error messages are formatted appropriately. See Creating and highlighting code blocks.

  • Please include your operating system type and version number, as well as your Python, nkululeko, numpy, pandas, and scipy versions. This information can be found by running the following code snippet:

    import sys
import numpy
import pandas
import sklearn
import nkululeko
import platform

print(platform.platform())
print("Python", sys.version)
print("NumPy", numpy.__version__)
print("Pandas", pandas.__version__)
print("Scikit-learn", sklearn.__version__)
print("nkululeko", nkululeko.__version__)

Note

This document was based on the scikit-learn & librosa contribution guides.