langchain/libs/community/tests/unit_tests/embeddings/test_deterministic_embeddin...

from langchain_community.embeddings import DeterministicFakeEmbedding


def test_deterministic_fake_embeddings() -> None:
    """
    Test that the deterministic fake embeddings return the same
    embedding vector for the same text.
    """
    fake = DeterministicFakeEmbedding(size=10)
    text = "Hello world!"
    assert fake.embed_query(text) == fake.embed_query(text)
    assert fake.embed_query(text) != fake.embed_query("Goodbye world!")
    assert fake.embed_documents([text, text]) == fake.embed_documents([text, text])
    assert fake.embed_documents([text, text]) != fake.embed_documents(
        [text, "Goodbye world!"]
    )
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes 9 months ago			`from langchain_community.embeddings import DeterministicFakeEmbedding`
Deterministic Fake Embedding Model (#8706) Solves #8644 This embedding models output identical random embedding vectors, given the input texts are identical. Useful when used in unittest. @baskaryan 1 year ago

			`def test_deterministic_fake_embeddings() -> None:`
			`"""`
			`Test that the deterministic fake embeddings return the same`
			`embedding vector for the same text.`
			`"""`
			`fake = DeterministicFakeEmbedding(size=10)`
			`text = "Hello world!"`
			`assert fake.embed_query(text) == fake.embed_query(text)`
			`assert fake.embed_query(text) != fake.embed_query("Goodbye world!")`
			`assert fake.embed_documents([text, text]) == fake.embed_documents([text, text])`
			`assert fake.embed_documents([text, text]) != fake.embed_documents(`
			`[text, "Goodbye world!"]`
			`)`