Contributions are welcome, and they are greatly appreciated! The development of this package takes place on GitHub. Issues, bugs, and feature requests should be reported there. Code and documentation can be improved by submitting a pull request. Please add documentation and tests for any new code.
The package can be set up (ideally in a fresh virtual environment) for local development with the following:
$ git clone https://github.com/epfl-lts2/pyunlocbox.git $ pip install --upgrade --editable pyunlocbox[dev]
The dev
"extras requirement" ensures that dependencies required for
development (to run the test suite and build the documentation) are installed.
You can improve or add solvers, functions, and acceleration schemes in
pyunlocbox/solvers.py
, pyunlocbox/functions.py
, and
pyunlocbox/acceleration.py
, along with their corresponding unit tests in
pyunlocbox/tests/test_*.py
(with reasonable coverage).
If you have a nice example to demonstrate the use of the introduced
functionality, please consider adding a tutorial in doc/tutorials
or a
short example in examples
.
Update README.rst
and CHANGELOG.rst
if applicable.
After making any change, please check the style, run the tests, and build the documentation with the following (enforced by Travis CI):
$ make lint $ make test $ make doc
Check the generated coverage report at htmlcov/index.html
to make sure the
tests reasonably cover the changes you've introduced.
To iterate faster, you can partially run the test suite, at various degrees of granularity, as follows:
$ python -m unittest pyunlocbox.tests.test_functions $ python -m unittest pyunlocbox.tests.test_functions.TestCase.test_norm_l1
Update the version number and release date in
setup.py
,pyunlocbox/__init__.py
andCHANGELOG.rst
.Create a git tag with
git tag -a v0.5.0 -m "PyUNLocBox v0.5.0"
.Push the tag to GitHub with
git push github v0.5.0
. The tag should now appear in the releases and tags tab.Create a release on GitHub and select the created tag. A DOI should then be issued by Zenodo.
Go on Zenodo and fix the metadata if necessary.
Build the distribution with
make dist
and check that thedist/pyunlocbox-0.5.0.tar.gz
source archive contains all required files. The binary wheel should be found asdist/pyunlocbox-0.5.0-py2.py3-none-any.whl
.Test the upload and installation process:
$ twine upload --repository-url https://test.pypi.org/legacy/ dist/* $ pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple pyunlocbox
Log in as the LTS2 user.
Build and upload the distribution to the real PyPI with
make release
.Update the conda feedstock (at least the version number and sha256 in
recipe/meta.yaml
) by sending a PR to conda-forge.