mirror of
https://github.com/hwchase17/langchain
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7257f9e015
Co-authored-by: pao <go5kuramubon@gmail.com> Co-authored-by: KyoHattori <kyo.hattori@abejainc.com>
18 lines
687 B
Python
18 lines
687 B
Python
from langchain.retrievers.tfidf import TFIDFRetriever
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def test_from_texts() -> None:
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input_texts = ["I have a pen.", "Do you have a pen?", "I have a bag."]
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tfidf_retriever = TFIDFRetriever.from_texts(texts=input_texts)
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assert len(tfidf_retriever.docs) == 3
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assert tfidf_retriever.tfidf_array.toarray().shape == (3, 5)
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def test_from_texts_with_tfidf_params() -> None:
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input_texts = ["I have a pen.", "Do you have a pen?", "I have a bag."]
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tfidf_retriever = TFIDFRetriever.from_texts(
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texts=input_texts, tfidf_params={"min_df": 2}
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)
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# should count only multiple words (have, pan)
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assert tfidf_retriever.tfidf_array.toarray().shape == (3, 2)
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