Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Report bugs at https://github.com/PamelaM/mptools/issues.
If you are reporting a bug, please include:
Look through the GitHub issues for bugs. Anything tagged with "bug" and "help wanted" is open to whoever wants to implement it.
Look through the GitHub issues for features. Anything tagged with "enhancement" and "help wanted" is open to whoever wants to implement it.
Multiprocessing Tools could always use more documentation, whether as part of the official Multiprocessing Tools docs, in docstrings, or even on the web in blog posts, articles, and such.
The best way to send feedback is to file an issue at https://github.com/PamelaM/mptools/issues.
If you are proposing a feature:
Ready to contribute? Here's how to set up mptools for local development.
Fork the mptools repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/mptools.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv mptools
$ cd mptools/
$ python setup.py develop
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you're done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 mptools tests
$ python setup.py test or py.test
$ tox
To get flake8 and tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add .
$ git commit -m "Your detailed description of your changes."
$ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Before you submit a pull request, check that it meets these guidelines:
To run a subset of tests:
$ py.test tests.test_mptools
A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.rst). Then run:
$ bumpversion patch # possible: major / minor / patch
$ git push
$ git push --tags
Travis will then deploy to PyPI if tests pass.
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