Testing_Pytest.py

In ML_Tools see: Testing_Pytest.py

The pytest example script demonstrates several key features of the Pytest testing framework:

1. Fixtures: The script uses a fixture named sample_data to provide common test data that can be reused across multiple test functions. This helps reduce code duplication and enhances test maintainability.

2. Parametrization: The script employs the @pytest.mark.parametrize decorator to run a test function with multiple sets of arguments. This allows for testing a function with various inputs without writing separate test cases for each scenario.

3. Custom Markers: A custom marker @pytest.mark.slow is used to categorize tests. This enables selective test execution based on markers, allowing you to run specific groups of tests using the -m option.

4. Mocking: The script demonstrates how to use unittest.mock.patch with pytest to replace a function with a mock. This allows for controlling the behavior of the function during the test, facilitating isolated testing of units.