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Contributing to nada-numpy

Thank you for considering contributing to nada-numpy! There are two ways to contribute to nada-numpy:

  1. Open issues to report bugs and typos, or to suggest new ideas.
  2. Submit a PR with a new feature or improvement.

To ensure a consistent development process, please follow the guidelines outlined below.

Code quality and type checking

  • All contributions must adhere to the project's coding standards. We enforce these standards using pylint for code quality and mypy for type checking.
  • Before submitting your contributions, ensure that your code passes both pylint and mypy checks.
  • These tools are also integrated into our CI/CD pipeline, and any PR will be automatically validated against these checks.

Development

We recommend continuously running your code through pylint and mypy during the development process. These tools help identify potential issues early, enforce coding standards, and maintain type safety.

Installation

  1. Install black and isort for code formating
pip3 install black && isort
  1. Fork the repo
  2. Install from source the nada-numpy library:
cd nada-numpy
pip3 install -e .

Adding tests

The tests/nada-tests folder contains the testing infrastructure for nada_numpy. You will need to create one or more scripts to test your functionality. You can read the docs for more info about testing. Follow these steps for testing:

  1. Add a script to tests/nada-tests/nada-project.toml.

  2. Place your test script in tests/nada-tests/src/, where it will verify the expected behavior.

  3. Generate the test file by running

nada generate-test --test-name <TEST_NAME> <PROGRAM>

and placing it in tests/nada-tests/tests/.

  1. Finally, add the script to the TESTS array in tests/test_all.py to integrate it with the CI/CD pipeline.

Hints to add new features

Below we provide some hints on how to add new features. We give two examples: adding a NadaArray method and adding a Rational method.

New NadaArray method

As an example, we use the variance operation to describe the development flow:

  1. Integrate the variance function:

    • In nada_numpy/array.py, integrate the variance method inside the NadaArray class as a new member function. This will allow the variance to be called as array.var().

  2. Add a Wrapper in nada_numpy/funcs.py:

    • In nada-numpy, functions can also be called in the form na.var(array). To support this, add a wrapper in nada_numpy/funcs.py. You can refer to the existing functions in this file to see how they simply wrap around array.var() in this context.

New Rational method

As an example, we use the exponential exp function to describe the development flow:

  1. Integrate the exp function with Rational:

    • In nada_numpy/types.py, integrate the exp method inside both the Rational and SecretRational classes as a new member function. This will allow the exp to be called as value.exp().

  2. Integrate the exp function with NadaArray:

    • In nada_numpy/array.py, integrate the exp method inside the NadaArray class as a new member function. This will allow the exp to be called as array.exp().

  3. Add a Wrapper in nada_numpy/funcs.py:

    • In nada-numpy, functions can also be called in the form na.exp(array). To support this, add a wrapper in nada_numpy/funcs.py. You can refer to the existing functions in this file to see how they simply wrap around array.exp() in this context.

Submit a Pull Request

We actively welcome your pull requests. Please follow these steps to successfully submit a PR:

  1. Fork the repo and create your branch from main.
  2. If you've added code that should be tested, add tests as explained above.
  3. Ensure that the test suite passes. Under tests/nada-tests/tests/ run
nada test <TEST_NAME>
  1. Run from the root directory both
black . && isort .
  1. Ensure that your code passes both pylint and mypy checks:
poetry run pylint
poetry run mypy

Open Issues

We use GitHub issues to report bugs and typos, or to suggest new ideas. Please ensure your description is clear and has sufficient instructions to be able to reproduce the issue.

License

By contributing to nada-numpy, you agree that your contributions will be licensed under the LICENSE file in the root directory of this source tree.