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Copyright 2024 National Technology & Engineering Solutions of Sandia,
LLC (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the
U.S. Government retains certain rights in this software.

Python Tensor Toolbox Contributor Guide

Issues

If you are looking to get started or want to propose a change please start by checking current or filing a new issue.

Working on PYTTB locally

  1. Clone your fork and enter the directory

    git clone [email protected]:<your username>/pyttb.git
cd pyttb
    1. Setup your desired python environment as appropriate

  2. Install dependencies

    Most changes only require dev options

    pip install -e ".[dev]"

    But if you are making larger interface changes or updating tutorials/documentation you can also add the required packages for documentation.

    pip install -e ".[dev,doc]"

  3. Checkout a branch and make your changes

    git checkout -b my-new-feature-branch

  4. Formatters and linting

    1. Run autoformatters and linting from root of project (they will change your code) 
      ruff check . --fix
black .
      1. Ruff's --fix won't necessarily address everything and may point out issues that need manual attention
      2. We optionally support pre-commit hooks for this
        1. Alternatively, you can run pre-commit run --all-files from the command line if you don't want to install the hooks.
    2. Check typing 
      mypy pyttb/

  5. Run tests (at desired fidelity)

    1. Just doctests (enabled by default) 
      pytest
    2. Functional tests 
      pytest .
    3. With coverage 
      pytest . --cov=pyttb --cov-report=term-missing

  6. (Optionally) Building documentation and tutorials

    1. From project root
    sphinx-build ./docs/source ./docs/build
    1. Clear notebook outputs if run locally see nbstripout in our pre-commit configuration

GitHub Workflow

Proposing Changes

If you want to propose a change to Python Tensor Toolbox, follow these steps:

  1. Create an Issue

    • Use the Issues tab of the Python Tensor Toolbox GitHub repository and click on the "New issue" button.

  2. Fork the Repository and Create a New Branch

    • Navigate to the main page of the Python Tensor Toolbox GitHub repository and click on the "Fork" button to create a copy of the repository under your own account.
    • Clone the forked repository to your local machine.
    • In your local repository, create a new branch for your proposed changes.

  3. Update the Code

    • Make the necessary updates in your local environment.
    • After making your changes, stage and commit them with an informative message.

  4. Push your Changes and Create a Pull Request

    • Push your changes to the new branch in your fork of the repository.
    • Navigate to the main page of the Python Tensor Toolbox repository and click on the "New pull request" button.
    • In the "base repository" dropdown, select the original Python Tensor Toolbox repository. In the "base" dropdown, select the branch where you want your changes to be merged.
    • In the "head repository" dropdown, select your forked repository. In the "compare" dropdown, select the branch with your changes.
    • Write a title and description for your pull request.

  5. Review Process

    • After creating a pull request, wait for the Github CI tests to pass.
    • If any test fails, review your code, make necessary changes, and push your code again to the same branch in your forked repository.
    • If there are any comments or requested changes from the Python Tensor Toolbox team, address them and push any additional changes to the same branch.
    • Once your changes are approved, a repository admin will merge your pull request.