What are some advanced techniques for Python coverage?

What are some advanced techniques for Python coverage?

Advanced techniques for Python coverage include using coverage.py for detailed reports, integrating with CI/CD pipelines, and leveraging decorators for dynamic coverage.

How can I integrate coverage.py with my CI/CD pipeline?

You can integrate coverage.py by adding it to your test command in your CI configuration file, ensuring it runs alongside your tests.

What are decorators in Python and how do they relate to coverage?

Decorators in Python are functions that modify the behavior of other functions. They can be used to dynamically track coverage for specific functions.

Can you give an example of using a decorator for coverage?

Sure! You can create a decorator that wraps a function and logs its execution, which can then be tracked by coverage.py.