TestFakeEmbeddingsUnit Class — langchain Architecture

Architecture documentation for the TestFakeEmbeddingsUnit class in test_embeddings.py from the langchain codebase.

Class python

Entity Profile

Dependency Diagram

graph TD
  3bffe6ad_79f8_1016_b62c_cf047d03db03["TestFakeEmbeddingsUnit"]
  9eb1f026_8568_b7aa_2028_9c6b8a5f914d["EmbeddingsUnitTests"]
  3bffe6ad_79f8_1016_b62c_cf047d03db03 -->|extends| 9eb1f026_8568_b7aa_2028_9c6b8a5f914d
  750d10a5_603e_63f7_a7ad_3eff4345fc39["test_embeddings.py"]
  3bffe6ad_79f8_1016_b62c_cf047d03db03 -->|defined in| 750d10a5_603e_63f7_a7ad_3eff4345fc39
  4b343217_bddc_2e43_38f8_60cbc919698f["embeddings_class()"]
  3bffe6ad_79f8_1016_b62c_cf047d03db03 -->|method| 4b343217_bddc_2e43_38f8_60cbc919698f
  76160c96_dbcb_383f_2c46_9b65f1a69090["embedding_model_params()"]
  3bffe6ad_79f8_1016_b62c_cf047d03db03 -->|method| 76160c96_dbcb_383f_2c46_9b65f1a69090

Relationship Graph

Source Code

libs/standard-tests/tests/unit_tests/test_embeddings.py lines 9–16

class TestFakeEmbeddingsUnit(EmbeddingsUnitTests):
    @property
    def embeddings_class(self) -> type[Embeddings]:
        return DeterministicFakeEmbedding

    @property
    def embedding_model_params(self) -> dict[str, Any]:
        return {"size": 6}  # embedding dimension