How do I interpret a Python coverage report?
An example of an AI chatbot conversation about interpreting Python coverage reports.
How do I interpret a Python coverage report?
To interpret a Python coverage report, look for the percentage of code covered by tests, and identify untested lines.
What does the 'missing' section mean in the report?
The 'missing' section lists the lines of code that were not executed during testing, indicating areas that need more tests.
How can I improve my coverage percentage?
You can improve coverage by adding more test cases, especially for the untested lines highlighted in the report.
Is 100% coverage always necessary?
Not necessarily. While high coverage is good, focus on testing critical paths and edge cases rather than achieving 100%.
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