How do I interpret a pytest coverage report?
An example of an AI chatbot conversation about interpreting pytest coverage reports.
How do I interpret a pytest coverage report?
To interpret a pytest coverage report, start by looking at the overall coverage percentage. This shows how much of your code is tested.
What does the coverage percentage mean?
The coverage percentage indicates the proportion of your code that has been executed during tests. Higher percentages suggest better test coverage.
What should I do if my coverage is low?
If your coverage is low, consider adding more tests to cover untested parts of your code. Focus on critical areas first.
Are there specific areas I should prioritize for testing?
Yes, prioritize testing for complex functions, critical business logic, and any areas with known bugs.
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