mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
c6b7db6587
- **Support batch size**
Baichuan updates the document, indicating that up to 16 documents can be
imported at a time
- **Standardized model init arg names**
- baichuan_api_key -> api_key
- model_name -> model
30 lines
1.3 KiB
Python
30 lines
1.3 KiB
Python
"""Test Baichuan Text Embedding."""
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from langchain_community.embeddings.baichuan import BaichuanTextEmbeddings
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def test_baichuan_embedding_documents() -> None:
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"""Test Baichuan Text Embedding for documents."""
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documents = ["今天天气不错", "今天阳光灿烂"]
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embedding = BaichuanTextEmbeddings() # type: ignore[call-arg]
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output = embedding.embed_documents(documents)
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assert len(output) == 2 # type: ignore[arg-type]
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assert len(output[0]) == 1024 # type: ignore[index]
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def test_baichuan_embedding_query() -> None:
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"""Test Baichuan Text Embedding for query."""
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document = "所有的小学生都会学过只因兔同笼问题。"
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embedding = BaichuanTextEmbeddings() # type: ignore[call-arg]
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output = embedding.embed_query(document)
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assert len(output) == 1024 # type: ignore[arg-type]
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def test_baichuan_embeddings_multi_documents() -> None:
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"""Test Baichuan Text Embedding for documents with multi texts."""
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document = "午餐吃了螺蛳粉"
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doc_amount = 35
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embeddings = BaichuanTextEmbeddings() # type: ignore[call-arg]
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output = embeddings.embed_documents([document] * doc_amount)
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assert len(output) == doc_amount # type: ignore[arg-type]
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assert len(output[0]) == 1024 # type: ignore[index]
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