Contributing to scared¶
Thank you for considering to contribute to scared project! There are various ways to contribute to the project, and every contributions are welcomed.
This document lays out guidelines and advice for contributing to this project. If you’re thinking of contributing, please start by reading this document and getting a feel for how contributing to this project works.
If you have any questions, please feel free to reach to the core contributors at email@example.com.
Code of conduct¶
All forms of contribution and discussions on this project must respect some basic behavioral rules:
The core project maintainers have the last word on whether or not a contribution is suitable. All contributions will be considered carefully, but from time to time, contributions will be rejected because they do not suit the current goals or needs of the project.
If your contribution is rejected, don’t despair! As long as you followed these guidelines, you will have a much better chance of getting your next contribution accepted.
Bug reports are hugely important! Before you raise one, though, please check through the Gitlab issues, both open and closed, to confirm that the bug hasn’t been reported before. Duplicate bug reports are a huge drain on the time of other contributors, and should be avoided as much as possible.
When filling a new bug report, please use the appropriate template on the bug tracker, and gives as much as possible a reproducible scenario with all context elements.
If you believe there is a feature missing, feel free to raise a feature request. You should use create an issue in the Gitlab issue tracker, with the appropriate template. Gives as much as possible context elements and rationale around why the feature you wish should be implemented.
Please do be aware that the overwhelming likelihood is that your feature request will not be accepted, or will take time to be implemented.
Documentation improvements are always welcome! The documentation files live in the
docs/ directory of the codebase. They’re written in Markdown, and use Sphinx to generate the full suite of documentation.
When contributing documentation, please do your best to follow the style of the documentation files. When presenting Python code, use single-quoted strings (‘hello’ instead of “hello”).
Steps for Submitting Code¶
When contributing code, you’ll want to follow this checklist:
Fork the repository on Gitlab.
Run the tests to confirm they all pass on your system. If they don’t, you’ll need to investigate why they fail. If you’re unable to diagnose this yourself, raise it as a bug report by following the guidelines in this document: Bug Reports.
Write tests that demonstrate your bug or feature. Ensure that they fail.
Make your change. Add you to the AUTHORS file.
Run the entire test suite again, confirming that all tests pass including the ones you just added.
Send a Gitlab Merge Request to the main repository’s master branch. Gitlab Merge Requests are the expected method of code collaboration on this project.
Merge requestion approval check-list¶
For your merge reques to be reviewed and eventually merged into master, please use the following check-list:
[ ] Related issue, documented and qualified
[ ] The development is finished (pipeline passing) and include new or modified tests
[ ] Docstrings have been updated if needed
[ ] Documentation is updated if relevant
[ ] A commit message following conventional commit is proposed by the submitter for merge message in the master
[ ] Approval by one of the maintainer is obtained
The following sub-sections go into more detail on some of the points above.
Contributions will not be merged until they’ve been code reviewed. You should implement any code review feedback unless you strongly object to it. In the event that you object to the code review feedback, you should make your case clearly and calmly. If, after doing so, the feedback is judged to still apply, you must either apply the feedback or withdraw your contribution.
If you are new or relatively new to Open Source, welcome! If you’re concerned about how best to contribute, please consider mailing a maintainer (listed above) and asking for help.
Please also check the Get Early Feedback section.
Get Early Feedback¶
If you are contributing, do not feel the need to sit on your contribution until it is perfectly polished and complete. It helps everyone involved for you to seek feedback as early as you possibly can. Submitting an early, unfinished version of your contribution for feedback in no way prejudices your chances of getting that contribution accepted, and can save you from putting a lot of work into a contribution that is not suitable for the project.
have an issue on Gitlab. No issue, no dev.
checkout the project
create a branch from the master or identify the branch you should be working on, be it a feature or a bug branch. Reference the issue number in the branch name
work on the branch
commit often small functionnal perimeter - some passing tests with it’s working code. Typical commit frequency is several times each day - several begins at 2 …
push less often, but regularly. Typical push frequency is daily.
when work is finished, ask for final review and merge request to the upstream.
Python development guidelines¶
For code contributions, please follows these guidelines.
All developments should be compatible with Python 3.6+ versions.
To develop, you’ll need to have:
setuptools 0.40 or greater (just run
pip install -U pip setuptools)
a C compiler to compile C extension with Cython (see Cython documentation)
To start runnning your test suite, you must install the library in development mode:
pip install -e .
Numpy compressed array files¶
To save visual and disk space, some test modules use numpy compressed files ending with .npz to store array samples.
You can put a new array into an existing file like this:
my_dict = dict(numpy.load('tests/samples/the_appropriate_file.npz')) my_dict['my_new_array_name'] = my_new_numpy_array numpy.savez('tests/samples/the_appropriate_file.npz', **my_dict)
Code style and formatting¶
The projects follow the Python standards defined by PEP8, with some exceptions. The maximum line length is 160 characters.
You should lint your code with
flake8-docstrings. The linter configuration is in
Each public API should be documented following PEP257.
It is up to you to decide if a there is a value in a docstring. In some cases, there is no value in a docstring for trivial methods or functions, like getters and setters ( but, well, maybe you shouldn’t do too much getters and setters).
We use the Google style guide conventions for docstrings, and the API documentation is generated by Sphinx.
If your platform has not already binaries available on Pypi or Conda, a great contribution can simply to build binaries for your platform. To do so, please create a dedicated merge request from the tag your are building for, and attach the resulting build files to it. You can then submit the merge request for review.
Building for Pypi¶
To build for Pypi, you will need to follow these instructions:
pip install -U pip setuptools wheel numpy
python setup.py bdist_wheelfrom the root folder
Get build files in
Building for Conda¶
To build for Conda, you will need to create a dedicated conda environment for build:
conda create -n buildenv python=3.6 conda-build conda-verify
conda config --add channels eshard
conda build --output_folder out .recipefrom the root source folder
Get build files in