test_non_zero_distance() — langchain Function Reference

Architecture documentation for the test_non_zero_distance() function in test_base.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_non_zero_distance() — langchain Function Reference

Dependency Diagram

graph TD
  58c3c1bb_541b_559e_6ee5_05fe9f35a41b["test_non_zero_distance()"]
  e7777523_d43e_dcb6_7c8a_3873458d11a8["test_base.py"]
  58c3c1bb_541b_559e_6ee5_05fe9f35a41b -->|defined in| e7777523_d43e_dcb6_7c8a_3873458d11a8
  style 58c3c1bb_541b_559e_6ee5_05fe9f35a41b fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/evaluation/string_distance/test_base.py lines 69–80

def test_non_zero_distance(*, distance: StringDistance, normalize_score: bool) -> None:
    eval_chain = StringDistanceEvalChain(
        distance=distance,
        normalize_score=normalize_score,
    )
    prediction = "I like to eat apples."
    reference = "I like apples."
    result = eval_chain.evaluate_strings(prediction=prediction, reference=reference)
    assert "score" in result
    assert result["score"] > 0
    if normalize_score:
        assert result["score"] < 1.0