Python Statistics Unit test code coverage

1.1.1 Implementation Process

1. Preparatory work
   First, before running the command, we need to install a package: coverage
   The command is as follows:
   PIP Install coverage # (PY-3-m pip install coverage)
   After successful installation, successfully and other words will appear.
   

2. Implementing code Coverage commands
   There are 3 of the commands involved, which are given here first, followed by the use of examples to do a detailed explanation:
   The first command is to run your test script file, the second command prints the coverage report information in the console, the third command generates a Htmlcov folder in the sibling directory, and opens the index.html in the folder to view code coverage in a graphical manner.
   coverage?run?xxx.py
   Coverage report-m
   Coverage HTML

3. Code Coverage-Practical examples
   For example: I want to test the code coverage of my local operate_calculate.py code, which can be done as follows:
   Command one: Coverage run operate_calculate.py
   

Command two: Coverage report-m

Command three: Coverage html

As a result, a Htmlcov folder is generated, and the contents of the folder are as follows:

Open the index.html and you'll see beautiful test reports:

Click on the specific module to view specific information, such as Click calc.py:

The red part is the line of code that is not executed.

This is what Python uses coverage packages to achieve code coverage.

Python Statistics Unit test code coverage