How do you generate dynamic parameterized unit tests in Python

unit testing is a fundamental practice in software development to ensure that individual parts of your code work correctly. when writing unit tests in python, you may encounter situations where you want to run the same test with different input values. this is where dynamic or parameterized unit tests come into play. in this tutorial, you'll learn how to generate dynamic unit tests in python using the unittest framework.
before we dive into dynamic unit testing, make sure you have the following installed:
unittest module: it's a built-in python library, so you don't need to install it separately.
dynamic unit tests allow you to run the same test logic with different input parameters. this is particularly useful when you want to verify that a function behaves correctly under various conditions. instead of writing multiple test cases, you can create a single test method that accepts parameters and run it with different values.
here's a step-by-step guide on how to create dynamic unit tests in python:
now, define a test method within your test class. this method should accept parameters that represent the input values for your function under test.
in this example, we're testing an addition function that takes two numbers and returns the result. the test_addition method accepts three parameters: num1, num2, and expected_result.
in this example, we've defined four test cases for the test_addition_positive_numbers method, eac ...