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…tch]: import models from community ran ```bash git grep -l 'from langchain\.chat_models' | xargs -L 1 sed -i '' "s/from\ langchain\.chat_models/from\ langchain_community.chat_models/g" git grep -l 'from langchain\.llms' | xargs -L 1 sed -i '' "s/from\ langchain\.llms/from\ langchain_community.llms/g" git grep -l 'from langchain\.embeddings' | xargs -L 1 sed -i '' "s/from\ langchain\.embeddings/from\ langchain_community.embeddings/g" git checkout master libs/langchain/tests/unit_tests/llms git checkout master libs/langchain/tests/unit_tests/chat_models git checkout master libs/langchain/tests/unit_tests/embeddings/test_imports.py make format cd libs/langchain; make format cd ../experimental; make format cd ../core; make format ```
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
"""Test PAL chain."""
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from langchain_community.llms import OpenAI
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from langchain_experimental.pal_chain.base import PALChain
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def test_math_prompt() -> None:
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"""Test math prompt."""
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llm = OpenAI(temperature=0, max_tokens=512)
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pal_chain = PALChain.from_math_prompt(llm, timeout=None)
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question = (
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"Jan has three times the number of pets as Marcia. "
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"Marcia has two more pets than Cindy. "
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"If Cindy has four pets, how many total pets do the three have?"
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)
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output = pal_chain.run(question)
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assert output == "28"
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def test_colored_object_prompt() -> None:
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"""Test colored object prompt."""
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llm = OpenAI(temperature=0, max_tokens=512)
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pal_chain = PALChain.from_colored_object_prompt(llm, timeout=None)
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question = (
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"On the desk, you see two blue booklets, "
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"two purple booklets, and two yellow pairs of sunglasses. "
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"If I remove all the pairs of sunglasses from the desk, "
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"how many purple items remain on it?"
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)
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output = pal_chain.run(question)
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assert output == "2"
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