How does Python coverage relate to code quality?
An example of an AI chatbot conversation about Python coverage and its impact on code quality.
How does Python coverage relate to code quality?
Python coverage measures how much of your code is tested by your test suite. Higher coverage often indicates better code quality.
Is 100% coverage necessary for good code quality?
Not necessarily. While 100% coverage can indicate thorough testing, it doesn't guarantee code quality. It's important to also consider the quality of tests.
What are some tools to measure code coverage in Python?
Popular tools include Coverage.py, pytest-cov, and Codecov. They help you analyze which parts of your code are tested.
Can high coverage lead to false confidence in code quality?
Yes, high coverage can create a false sense of security if the tests are not meaningful or do not cover edge cases.
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