Unit testing python code using pytest github actions
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unit testing is a crucial part of software development that involves testing individual units or components of code to ensure they work as expected. in python, one popular testing framework is `pytest`, which provides a simple and powerful way to write and run tests.
github actions is a continuous integration and deployment tool that allows you to automate tasks such as running your tests whenever you push code changes to your repository. by combining `pytest` with github actions, you can automatically run your unit tests on every commit, ensuring the quality and reliability of your codebase.
here's a step-by-step tutorial on how to set up unit testing for your python code using `pytest` and github actions:
1. **install `pytest`**: first, you need to install `pytest` in your python environment. you can do this using `pip`:
2. **write test cases**: write test cases for your python code using `pytest` conventions. test functions should start with `test_` and can use assertion statements to check the expected behavior of your code.
here is an example of a simple python function to be tested and its corresponding test file:
*code to be tested (`my_math.py`):*
*test file (`test_my_math.py`):*
3. **create a github actions workflow**: add a workflow file (e.g., `.github/workflows/tests.yml`) to your repository to define the steps for running your tests using github actions.
*github actions workflow file (`tests.yml`):*
4. **commit and push**: commit your code changes, including the test files and the github actions workflow file, and push them to your repository.
5. **check the workflow**: go to the "actions" tab on your github repository to see the status of the workflow. you should see it running your tests automatically whenever you push new code.
by following these steps, you have set up unit testing for your python code using `pytest` and integrated it with github actions for automated testing. this helps you catch bugs early and ensure the qual ...
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