Ctrl+K

Contribute#

Contributions are welcome to LoopStructural. Contributions can be bug reports, documentation, examples, questions, feature requests, new features and new code. Please follow the following guidelines.

Issues#

Questions#

If you have a question about how to use LoopStructural please search existing issues and look through the example documentation. If your question has not been previously addressed then please submit a new issue. When submitting a new issue please be as verbose as possible using the provided templates and provide as much information to help us answer your question.

Bug reports#

To submit a bug report please use the bug reports template when submitting an issue. Please provide us with a minimal working example that allows for the bug to be easily reproduced this will help us in determining the source of the bug.

Feature requests#

If you have an idea of a new feature for LoopStructural please submit this using the Feature request template.

Contributing new code#

Any contributions to the documentation and code for LoopStructural are welcome.

If you would like to contribute code to LoopStructural please open an issue either a bug report or a feature request and then submit a pull request and link it to this issue.

Getting setup#

To get started, fork and clone the repository. It’s then best to get started with conda:

conda activate
pip install -r requirements.txt
conda list

N.B. On Linux, the LavaVu package requires the installation of extra tools:

sudo apt install build-essential libgl1-mesa-dev libx11-dev zlib1g-dev

For changes to ./docs:

pip install -r docs/requirements.txt
make -C ./docs html

Building the docs the first time takes a little while. After this, you will see a build directory. From here you can preview the generated HTML in your browser.

Linting and code format#

We use both black and ruff to format and lint the code. The code will automatically be formatted by black after being committed, alternatively run black on any changed files.

A linting check is done with ruff, please ensure that this passes prior to creating a pull request. To check the code with ruff run the following command in the root directory of the repository:

ruff LoopStructural

The configuration parameters for ruff and black are stored in the pyproject.toml file.

Coding Guidelines#

  • Reduce Duplicated Code: Strive to avoid duplication by modularizing code and promoting code reuse where appropriate.

  • Document code: Use numpy style docstrings and ensure that any new features are added into the documentation

  • Type hints: Use appropriate type hints for any function arguments and returns

  • Avoid python loops: Avoid using pure python loops - where possible used vectorized functions in numpy, geopandas, scipy

  • Use Object-Oriented Data Structures: Utilize object-oriented programming principles to structure data and functionality in a cohesive manner.

  • Use British English Spelling: Adhere to British English spelling conventions throughout the codebase and documentation.

  • Use Conventional Commits: Follow the Conventional Commits specification for clear and structured commit messages.

  • Ensure Tests Pass: Before submitting any changes, ensure that all tests pass locally.

  • Write Tests for New Code: Include tests for any new functionality or code additions to maintain code quality and prevent regressions.

  • Minimize External Dependencies: Aim to minimize reliance on external libraries and frameworks to keep the project lightweight.

  • Make External Dependencies Optional: When external dependencies are necessary, make them optional where feasible to increase flexibility and ease of installation.

Commit messages#

A changelog is automatically generated from the commit message, the following keywords are identified in the commit log.

The commit messages should include a short summary in the first line that will be referenced in the change log.

Version numbering#

LoopStructural is versions according to semantic versioning:

Given a version number MAJOR.MINOR.PATCH, increment the:

MAJOR version when you make incompatible API changes, MINOR version when you add functionality in a backwards compatible manner, and PATCH version when you make backwards compatible bug fixes. Additional labels for pre-release and build metadata are available as extensions to the MAJOR.MINOR.PATCH format.

Documentation#

LoopStructural documentation is produced using sphinx with examples being provided by sphinx gallery. The code documentation is written using the numpy docstring format for example a function should be documented using the following style:

def new_function(a, b, c=None,d=None):
    """[summary]

    [extended_summary]

    Parameters
    ----------
    a : [type]
        [description]
    b : [type]
        [description]
    c : [type], optional
        [description], by default None
    d : [type], optional
        [description], by default None

    Returns
    -------
    results : [type]
        [description]
    """

License#

LoopStructural is licensed unded an MIT license and all contributions MUST conform to this license.

On this page
Show Source