test_multi_input_errors() — langchain Function Reference

Architecture documentation for the test_multi_input_errors() function in test_sequential.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

LangChainCore→ ApiManagement→ test_multi_input_errors() — langchain Function Reference

Dependency Diagram

graph TD
  14a74dcb_ddc0_a70d_7e29_71238ad43d1b["test_multi_input_errors()"]
  0021bb47_51ab_bafd_26b4_c2849000554a["test_sequential.py"]
  14a74dcb_ddc0_a70d_7e29_71238ad43d1b -->|defined in| 0021bb47_51ab_bafd_26b4_c2849000554a
  style 14a74dcb_ddc0_a70d_7e29_71238ad43d1b fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/chains/test_sequential.py lines 245–253

def test_multi_input_errors() -> None:
    """Test simple sequential errors if multiple input variables are expected."""
    chain_1 = FakeChain(input_variables=["foo"], output_variables=["bar"])
    chain_2 = FakeChain(input_variables=["bar", "foo"], output_variables=["baz"])
    with pytest.raises(
        ValueError,
        match="Value error, Chains used in SimplePipeline should all have one input",
    ):
        SimpleSequentialChain(chains=[chain_1, chain_2])