hypothesis-testing

# Hypothesis Property-Based Testing Hypothesis is a powerful property-based testing library that automatically generates test cases to find edge cases and validate properties of your code. ## Core Concept **Traditional example-based testing:** ```python def test_addition(): assert add(2, 3) == 5 assert add(0, 0) == 0 assert add(-1, 1) == 0 ``` **Property-based testing with Hypothesis:** ```python from hypothesis import given import hypothesis.strategies as st @given(st.integers(), st.integers()) def test_addition_commutative(a, b): """Addition is commutative for ALL integers.""" assert add(a, b) == add(b, a) ``` Hypothesis generates hundreds of test cases automatically, including edge cases you might not think of. ## Installation ```bash # Install hypothesis with pytest integration uv add --dev hypothesis pytest # Optional plugins uv add --dev hypothesis[numpy] # NumPy strategies uv add --dev hypothesis[pandas] # Pandas strategies uv add --dev hypothesis[django] # Django model strategies ``` ## Configuration ### pyproject.toml Configuration ```toml [tool.pytest.ini_options] # Hypothesis settings addopts = [ "--hypothesis-show-statistics", # Show test statistics "--hypothesis-seed=0", # Reproducible tests (optional) ] [tool.hypothesis] # Maximum number of examples to generate max_examples = 200 # Default: 100, CI: 200+ # Deadline for each test case (milliseconds) deadline = 1000 # Default: 200ms, None to disa...