Parameterized Tests Using pytest
Explore how to write parameterized tests using pytest's mark.parametrize decorator. Understand how isolating test data and stacking parameterizations help create maintainable and comprehensive unit tests by covering multiple test scenarios efficiently.
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We'll cover the following...
Running parameterized tests with pytest is better, not only because it provides a cleaner API, but also because each combination of the test with its parameters generates a new test case (a new function).
Writing parameterized tests using pytest
To work with this, we have to use the pytest.mark.parametrize decorator on our test. The first parameter of the decorator is a string indicating the ...