python-testing-patterns

Pytest fixtures provide a reusable way to manage test setup and teardown across unit, integration, and end-to-end scenarios. You define them as functions with the @pytest.fixture decorator, injecting them into tests by passing the fixture name as a parameter.

Property-based testing with Hypothesis generates diverse test cases automatically based on defined rules. Instead of writing individual assertions, you specify properties your code should satisfy, and Hypothesis searches for inputs that falsify them.

Yes, you can run asynchronous tests using pytest by applying specific async testing patterns. This involves configuring the event loop and using async fixtures to properly handle coroutines and awaitables during test execution.

Parameterizing tests in pytest allows you to run the same test function against multiple inputs. You apply the @pytest.mark.parametrize decorator with defined argument arrays, generating distinct test cases for each data combination.