Python code coverage analysis tool comparison: COVERAGE VS

Python code coverage analysis tool comparison: COVERAGE vs Pytest-Cov The code coverage analysis tool is used to measure the degree of the test cases covered in the code to help developers evaluate the quality of testing and discover potential problems.In Python, there are many popular code coverage analysis tools to choose from. Two of the commonly used tools are COVERAGE and Pytest-COV.This article will compare the characteristics and usage of these two tools. 1. coverage: -COVERAGE is one of the code coverage analysis tools that Python officially recommended, which can be used in command lines or scripts. -By using the COVERAGE tool, a report can be generated to display the case covered by each module, function and row in the program. -It can detect the unprecedented code lines, and can calculate the percentage of the coverage of the code. -COVERAGE also provides some other functions, such as supporting analytical code branches and condition coverage. 2. pytest-cov: -Pytest-Cov is a Pytest-based plug-in, which can be easily integrated with the Pytest test framework. -Pytest-Cov can easily analyze the code coverage to your test kit, allowing you to measure the coverage while testing the code. -At the-COV option when running Pytest, Pytest-Cov will automatically analyze the code coverage and generate reports. -Pytest-Cov also has the characteristics of stronger configuration. You can set various coverage related parameters by using the .coveragerc file. In summary, Coverage is suitable for various scenarios, including command lines, scripts and large projects, while Pytest-Cov is more suitable for scenes combined with the Pytest test framework.They can provide developers with valuable code coverage analysis reports to help developers understand whether their tests have fully covered the code and find out possible problems.According to personal needs and project characteristics, you can choose the code coverage analysis tool that suits you best.