A Coding Guide for Property-Based Testing Using Hypothesis with Stateful, Differential, and Metamorphic Test Design

The article shows how to build a property-based testing workflow in Python with Hypothesis and pytest.

It covers helper functions and structured strategies to test parsing, clamping, sorting, merging, and other behavior through invariants and comparisons.

The workflow also uses metamorphic relations, targeted exploration, and stateful models to find edge cases and logic bugs.

The key takeaway is that automated input generation and shrinking can expose failures more effectively than hand-written examples.