spacy() — langchain Function Reference

Architecture documentation for the spacy() function in test_nlp_text_splitters.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

LangChainCore→ ApiManagement→ spacy() — langchain Function Reference

Dependency Diagram

graph TD
  8ac70414_1b79_3b28_d515_0666b65d2cb2["spacy()"]
  a159cbba_51f0_5d34_8696_299b594bb0fe["test_nlp_text_splitters.py"]
  8ac70414_1b79_3b28_d515_0666b65d2cb2 -->|defined in| a159cbba_51f0_5d34_8696_299b594bb0fe
  style 8ac70414_1b79_3b28_d515_0666b65d2cb2 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py lines 18–30

def spacy() -> None:
    spacy = pytest.importorskip("spacy")

    # Check if en_core_web_sm model is available
    try:
        spacy.load("en_core_web_sm")
    except OSError:
        pytest.skip(
            "en_core_web_sm model not installed. Install with: "
            "uv add --group test_integration "
            "https://github.com/explosion/spacy-models/releases/download/"
            "en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl"
        )