What are the best practices for mock testing in Python?

What are the best practices for mock testing in Python?

Some best practices for mock testing in Python include using the unittest.mock library, keeping tests isolated, and ensuring that mocks are used only when necessary.

Can you explain how to use the unittest.mock library?

Certainly! The unittest.mock library allows you to replace parts of your system under test and make assertions about how they have been used. You can create mock objects using Mock() or patch().

What is the difference between Mock and MagicMock?

Mock is a basic mock object, while MagicMock is a subclass of Mock that includes magic methods, allowing it to behave like built-in types.

How do I ensure my tests remain isolated?

To keep tests isolated, avoid shared state between tests, use setup and teardown methods, and ensure that mocks are reset after each test.