What are some common myths about code coverage in Python?
Some common myths include: 1) 100% coverage means no bugs, 2) Code coverage is the only metric that matters, and 3) Tests are unnecessary if coverage is high.
Can you explain why 100% coverage doesn't guarantee bug-free code?
Sure! 100% coverage means every line of code is executed during tests, but it doesn't ensure that all scenarios are tested or that the logic is correct.
What should I focus on instead of just code coverage?
Focus on writing meaningful tests that cover edge cases, user scenarios, and integration points, rather than just aiming for high coverage numbers.
Are there tools to help measure code coverage in Python?
Yes, tools like coverage.py
, pytest-cov
, and unittest
can help you measure and report code coverage in your Python projects.
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