Contributing

You can contribute in many ways:

Types of Contributions

Report Bugs

Report bugs at https://github.com/sp-95/python-lifecycle-training/issues.

If you are reporting a bug, please include:

Your operating system name and version.
Any details about your local setup that might be helpful in troubleshooting.
Detailed steps to reproduce the bug.

Fix Bugs

Look through the GitHub issues for bugs that are tagged with bug.

Implement Features

Look through the GitHub issues for features that are tagged with enhancement.

Write Documentation

Fusemachines Utilities could always use more documentation, whether as part of the official Fusemachines Utilities docs, in docstrings, or even on the web in blog posts, articles, and such.

Submit Feedback

The best way to send feedback is to file an issue at https://github.com/sp-95/python-lifecycle-training/issues.

If you are proposing a feature:

Explain in detail how it would work.
Keep the scope as narrow as possible, to make it easier to implement.

Get Started!

Ready to contribute? Here’s how to set up python-lifecycle-training for local development. Please note this documentation assumes you already have poetry and git installed and ready to go.

Clone the python-lifecycle-training repo locally:

$ git clone git@github.com:sp-95/python-lifecycle-training.git

Assuming you have poetry installed, you can create a new environment for your local development by typing:
```
$ poetry shell
$ poetry install
```
Create a branch for local development:
```
$ git checkout -b name-of-your-bugfix-or-feature
```
Now you can make your changes locally.
Before raising a pull request you should run tox. This will run the tests across different versions of Python, perform pre-commit checks and tests your documentation build.
```
$ tox
```
If your contribution is a bug fix or new feature, you may want to add a test to the existing test suite. See the section Add a New Test below for details.

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.

Pull Request Guidelines

Before you submit a pull request, check that it meets these guidelines:

The pull request should include tests.
If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
The pull request should work for Python 3.7 and 3.8. Check https://github.com/sp-95/python-lifecycle-training/actions?query=workflow%3ATests and make sure that the tests pass for all supported Python versions.

Add a New Test

When fixing a bug or adding features, it’s good practice to add a test to demonstrate your fix or new feature behaves as expected. These tests should focus on one tiny bit of functionality and prove changes are correct.

To write and run your new test, follow these steps:

Add the new test to tests/<module>/test_<feature>.py. Focus your test on the specific bug or a small part of the new feature.
If you have already made changes to the code, stash your changes and confirm all your changes were stashed:
```
$ git stash
$ git stash list
```
Run your test and confirm that your test fails. If your test does not fail, rewrite the test until it fails on the original code:
```
$ pytest
```
(Optional) Run the tests with tox to ensure that the code changes work with different Python versions:
```
$ tox
```
Proceed work on your bug fix or the new feature or restore your changes. To restore your stashed changes and confirm their restoration:
```
$ git stash pop
$ git stash list
```
Rerun your test and confirm that your test passes. If it passes, congratulations!

Deploying

A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in CHANGELOG.rst). Then run:

$ poetry version patch
$ git tag `poetry version -s`
$ git push --tags

GitHub Actions will then deploy to PyPI once you make a release if tests pass.

See pypi-release-checklist for more information.