pytest

To structure basic Python tests using pytest, you write functions prefixed with test_ and use assert statements for validation. This skill provides patterns for basic test cases, user creation, and validation to ensure code quality.

Pytest fixtures handle setup, teardown, and dependency injection by decorating functions with @pytest.fixture. This skill demonstrates using different fixture scopes including module, class, and session for maintainable test suites.

You mock external dependencies like API clients and database sessions to achieve isolated testing. This skill shows specific mocking patterns to replace external calls during test execution.

Yes, you can run the same test with multiple data sets using parametrization. This skill illustrates how to use the parametrize marker to execute tests comprehensively across various inputs.

You categorize and conditionally skip Python tests using pytest markers. This skill explains how to label tests as slow or integration and apply conditional skipping for targeted test runs.

Yes, pytest supports testing asynchronous Python functions. This skill covers specific patterns and examples for writing effective tests for async scenarios.