Back to Repositories

Python-Patterns Testing: Design Pattern Implementation Validation

The python-patterns repository demonstrates comprehensive testing practices using both pytest and unittest frameworks for validating design pattern implementations. The test suite consists of 15 carefully crafted unit tests that verify behavioral and creational patterns, ensuring robust pattern implementations through systematic test cases and assertions. Qodo Tests Hub provides developers with detailed insights into how these pattern tests are structured and implemented. Through the platform, developers can explore real-world examples of testing design patterns, from strategy and publish-subscribe implementations to object pool management and prototype pattern verification. The test analysis features help understand testing approaches for complex pattern behaviors while learning best practices for pattern-specific test case design.

Path	Test Type	Language	Description
tests/behavioral/test_observer.py	unit	python	This pytest unit test verifies Observer pattern implementation including attachment, detachment, and notification mechanisms.
tests/behavioral/test_publish_subscribe.py	unit	python	This unittest unit test verifies the publish-subscribe pattern implementation including subscription management and message delivery mechanisms.
tests/behavioral/test_strategy.py	unit	python	This pytest unit test verifies Order class discount strategy implementations and calculations using the Strategy pattern.
tests/creational/test_lazy.py	unit	python	This unittest unit test verifies lazy evaluation pattern implementation for dynamic property expansion and access counting in Python.
tests/creational/test_pool.py	unit	python	This unittest unit test verifies Object Pool pattern implementation with queue-based object lifecycle management