test_md_header_text_splitter_1() — langchain Function Reference

Architecture documentation for the test_md_header_text_splitter_1() function in test_text_splitters.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

LangChainCore→ ApiManagement→ test_md_header_text_splitter_1() — langchain Function Reference

Dependency Diagram

graph TD
  b0c6679d_2bba_46e4_ab4d_9e90ed1e6be2["test_md_header_text_splitter_1()"]
  6d6b8ad4_1cfe_fbb0_e58e_76a50487c135["test_text_splitters.py"]
  b0c6679d_2bba_46e4_ab4d_9e90ed1e6be2 -->|defined in| 6d6b8ad4_1cfe_fbb0_e58e_76a50487c135
  style b0c6679d_2bba_46e4_ab4d_9e90ed1e6be2 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/text-splitters/tests/unit_tests/test_text_splitters.py lines 1260–1288

def test_md_header_text_splitter_1() -> None:
    """Test markdown splitter by header: Case 1."""
    markdown_document = (
        "# Foo\n\n"
        "    ## Bar\n\n"
        "Hi this is Jim\n\n"
        "Hi this is Joe\n\n"
        " ## Baz\n\n"
        " Hi this is Molly"
    )
    headers_to_split_on = [
        ("#", "Header 1"),
        ("##", "Header 2"),
    ]
    markdown_splitter = MarkdownHeaderTextSplitter(
        headers_to_split_on=headers_to_split_on,
    )
    output = markdown_splitter.split_text(markdown_document)
    expected_output = [
        Document(
            page_content="Hi this is Jim  \nHi this is Joe",
            metadata={"Header 1": "Foo", "Header 2": "Bar"},
        ),
        Document(
            page_content="Hi this is Molly",
            metadata={"Header 1": "Foo", "Header 2": "Baz"},
        ),
    ]
    assert output == expected_output