The preferred way to contribute to pambox 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]:YourLogin/pambox.git
- Make commits of logical units.
- Check for unnecessary whitespace with
git diff --check
before committing. - Make sure you have added the necessary tests for your changes.
- Aim for at least 80% coverage on your code
- Run
python setup.py test
to make sure your tests pass - Run
coverage run --source=pambox setup.py test
if you have thecoverage
package installed to generate coverage data - Check your coverage by running
coverage report
When you've recorded your changes in Git, then push them to GitHub with:
$ git push -u origin my-feature
Finally, go to the web page of the your fork of the pambox
repo,
and click 'Pull request' to send your changes to the maintainers for
review. This will send an email to the committers.
(If any of the above seems like magic to you, then look up the Git documentation on the web.)
It is recommended to check that your contribution complies with the following rules before submitting a pull request:
-
All public methods should have informative docstrings with sample usage presented as doctests when appropriate.
-
All other tests pass when everything is rebuilt from scratch. On Unix-like systems, check with (from the toplevel source folder):
$ python setup.py test
-
When adding additional functionality, provide at least one example script in the
examples/
folder. Have a look at other examples for reference.
You can also check for common programming errors with the following tools:
-
Code with good unittest coverage (at least 80%), check with:
$ pip install pytest pytest-cov $ py.test --cov path/to/pambox
-
No pyflakes warnings, check with:
$ pip install pyflakes $ pyflakes path/to/module.py
-
No PEP8 warnings, check with:
$ pip install pep8 $ pep8 path/to/module.py
-
AutoPEP8 can help you fix some of the easy redundant errors:
$ pip install autopep8 $ autopep8 path/to/pep8.py
pambox follows Pandas' conventions for commit messages, with common prefixes. Here are their guidelines for when to use them:
- ENH: Enhancement, new functionality
- BUG: Bug fix
- DOC: Additions/updates to documentation
- TST: Additions/updates to tests
- BLD: Updates to the build process/scripts
- PERF: Performance improvement
- CLN: Code cleanup
- Python code should follow the PEP 8 Style Guide.
- Python docstrings should follow the NumPy documentation format.
Imports should be one per line.
Imports should be grouped into standard library, third-party,
and intra-library imports. from
import should follow "regular" imports
.
Within each group the imports should be alphabetized.
Here's an example:
import sys
from glob import glob
import numpy as np
from pambox.utils import setdbspl
Imports of scientific Python libraries should follow these conventions:
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import scipy as sp
Thanks!