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test_base_standard.py — langchain Source File

Architecture documentation for test_base_standard.py, a python file in the langchain codebase. 3 imports, 0 dependents.

File python CoreAbstractions RunnableInterface 3 imports 1 classes

Entity Profile

Dependency Diagram

graph LR
  37b3f0c7_13b2_a2b4_2d1b_d1601411152f["test_base_standard.py"]
  bc46b61d_cfdf_3f6b_a9dd_ac2a328d84b3["langchain_core.embeddings"]
  37b3f0c7_13b2_a2b4_2d1b_d1601411152f --> bc46b61d_cfdf_3f6b_a9dd_ac2a328d84b3
  2fbe8eb1_5f30_3412_8f93_d0622486af65["langchain_tests.unit_tests.embeddings"]
  37b3f0c7_13b2_a2b4_2d1b_d1601411152f --> 2fbe8eb1_5f30_3412_8f93_d0622486af65
  0b28cff6_d823_1571_d2bb_ec61508cc89c["langchain_openai"]
  37b3f0c7_13b2_a2b4_2d1b_d1601411152f --> 0b28cff6_d823_1571_d2bb_ec61508cc89c
  style 37b3f0c7_13b2_a2b4_2d1b_d1601411152f fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Standard LangChain interface tests"""

from langchain_core.embeddings import Embeddings
from langchain_tests.unit_tests.embeddings import EmbeddingsUnitTests

from langchain_openai import OpenAIEmbeddings


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

    @property
    def init_from_env_params(self) -> tuple[dict, dict, dict]:
        return (
            {
                "OPENAI_API_KEY": "api_key",
                "OPENAI_ORG_ID": "org_id",
                "OPENAI_API_BASE": "api_base",
                "OPENAI_PROXY": "https://proxy.com",
            },
            {},
            {
                "openai_api_key": "api_key",
                "openai_organization": "org_id",
                "openai_api_base": "api_base",
                "openai_proxy": "https://proxy.com",
            },
        )

Domain

Subdomains

Classes

Dependencies

  • langchain_core.embeddings
  • langchain_openai
  • langchain_tests.unit_tests.embeddings

Source

Frequently Asked Questions

What does test_base_standard.py do?
test_base_standard.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, RunnableInterface subdomain.
What does test_base_standard.py depend on?
test_base_standard.py imports 3 module(s): langchain_core.embeddings, langchain_openai, langchain_tests.unit_tests.embeddings.
Where is test_base_standard.py in the architecture?
test_base_standard.py is located at libs/partners/openai/tests/unit_tests/embeddings/test_base_standard.py (domain: CoreAbstractions, subdomain: RunnableInterface, directory: libs/partners/openai/tests/unit_tests/embeddings).

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