What are the best practices for using coverage.py?
An example of an AI chatbot conversation about best practices for using coverage.py in Python.
What are the best practices for using coverage.py?
Some best practices include: 1) Use coverage.py in your CI/CD pipeline, 2) Exclude irrelevant files, 3) Aim for meaningful coverage, not just high percentages.
How can I exclude files from coverage reports?
You can exclude files by using the --omit option in the command line or by specifying exclusions in the .coveragerc configuration file.
What does meaningful coverage mean?
Meaningful coverage means ensuring that your tests cover critical paths and edge cases in your code, rather than just achieving a high percentage.
Can I integrate coverage.py with my testing framework?
Yes, coverage.py integrates well with popular testing frameworks like pytest and unittest. You can run your tests with coverage by simply using the coverage run command.
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