How can I improve my Python test coverage using coverage.py?
An example of an AI chatbot conversation about advanced test coverage in Python using coverage.py.
How can I improve my Python test coverage using coverage.py?
You can improve your test coverage by using coverage.py to track which parts of your code are tested. Start by installing it with pip install coverage.
What are the key features of coverage.py that I should know about?
Key features include line coverage, branch coverage, and the ability to generate reports in various formats like HTML and XML.
Can I integrate coverage.py with my CI/CD pipeline?
Yes, you can integrate coverage.py with CI/CD tools like Jenkins or GitHub Actions by adding coverage commands in your build scripts.
How do I interpret the coverage report generated by coverage.py?
The coverage report shows which lines of code were executed during tests. Look for areas with low coverage to identify untested code.
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