mirror of
https://github.com/hwchase17/langchain.git
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481d3855dc
- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
20 lines
500 B
Python
20 lines
500 B
Python
"""Test SparkLLM."""
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from langchain_core.outputs import LLMResult
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from langchain_community.llms.sparkllm import SparkLLM
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def test_call() -> None:
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"""Test valid call to sparkllm."""
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llm = SparkLLM()
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output = llm.invoke("Say foo:")
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assert isinstance(output, str)
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def test_generate() -> None:
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"""Test valid call to sparkllm."""
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llm = SparkLLM()
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output = llm.generate(["Say foo:"])
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assert isinstance(output, LLMResult)
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assert isinstance(output.generations, list)
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