The preferred way to contribute to sed_eval
is to fork the
main repository on
GitHub:
-
Fork the project repository: click on the 'Fork' button near the top of the page. This creates a copy of the code under your account on the GitHub server.
-
Clone this copy to your local disk:
git clone [email protected]:[YOUR_LOGIN]/sed_eval.git cd sed_eval
-
Create a branch to hold your changes:
git checkout -b my-new-feature
and start making changes. You should never work in the
master
branch directly. -
Work on this copy on your computer using Git to do the version control. When you're done editing, do:
git add [MODIFIED FILES] git commit
to record your changes in Git, then push them to GitHub with:
git push -u origin my-new-feature
Finally, go to the web page of the your fork of the sed_eval repo, and click 'Pull request' to send your changes to the maintainers for review. This will send an email to the committers.
More information about this kind of process can be found in Git documentation.
You should check that your contribution complies with the following rules before submitting a pull request:
- All public methods should have informative docstrings
- Code should be sufficiently commented
- For major new features there should be also an unittest
You should check for common programming errors with the following tools:
-
Check unittests:
pip install nose coverage cd tests/ nosetests -v --with-coverage --cover-erase --cover-html --cover-package=sed_eval --nocapture
-
There should be no major pyflakes warnings, check with:
pip install pyflakes pyflakes path/to/module.py
-
There should be no major PEP8 warnings, check with:
pip install pep8 pep8 path/to/module.py
We use Github issues to track all bugs and feature requests; feel free to open an issue if you have found a bug or wish to see a new feature implemented.
It is recommended to check that your issue complies with the following rules before submitting:
-
Verify that your issue is not being currently addressed by other issues or pull requests.
-
Please ensure all code snippets and error messages are formatted in appropriate code blocks. See Creating and highlighting code blocks.
-
Please include your operating system type and version number, as well as your Python, numpy, and dcase_util versions. You can get this information with following code:
import platform; print(platform.platform()) import sys; print("Python", sys.version) import numpy; print("NumPy", numpy.version)
You can edit the documentation using any text editor and then generate
the HTML output by typing make html
from the docs/ directory.
The resulting HTML files will be placed in docs/ and are viewable
in a web browser. See the README file in the documentation/ directory for more information.
This document is based on contribution instructions for LibROSA.