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125 lines
2.8 KiB
Python
125 lines
2.8 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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from transformers import AutoTokenizer
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from tests.reasoning.utils import run_reasoning_extraction
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from vllm.reasoning import ReasoningParser, ReasoningParserManager
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parser_name = "ernie45"
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REASONING_MODEL_NAME = "baidu/ERNIE-4.5-21B-A3B-Thinking"
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@pytest.fixture(scope="module")
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def ernie45_tokenizer():
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return AutoTokenizer.from_pretrained(REASONING_MODEL_NAME)
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# 带 </think>，非stream
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WITH_THINK = {
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"output": "abc</think>def",
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"reasoning_content": "abc",
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"content": "def",
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}
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# 带 </think>，stream
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WITH_THINK_STREAM = {
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"output": "abc</think>def",
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"reasoning_content": "abc",
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"content": "def",
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}
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# without </think>, all is reasoning_content
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WITHOUT_THINK = {
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"output": "abc",
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"reasoning_content": "abc",
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"content": None,
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}
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# without </think>, all is reasoning_content
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WITHOUT_THINK_STREAM = {
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"output": "abc",
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"reasoning_content": "abc",
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"content": None,
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}
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COMPLETE_REASONING = {
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"output": "abc</think>",
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"reasoning_content": "abc",
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"content": None,
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}
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MULTILINE_REASONING = {
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"output": "abc\nABC</think>def\nDEF",
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"reasoning_content": "abc\nABC",
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"content": "def\nDEF",
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}
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TEST_CASES = [
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pytest.param(
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False,
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WITH_THINK,
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id="with_think",
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),
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pytest.param(
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True,
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WITH_THINK_STREAM,
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id="with_think_stream",
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),
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pytest.param(
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False,
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WITHOUT_THINK,
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id="without_think",
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),
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pytest.param(
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True,
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WITHOUT_THINK_STREAM,
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id="without_think_stream",
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),
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pytest.param(
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False,
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COMPLETE_REASONING,
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id="complete_reasoning",
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),
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pytest.param(
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True,
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COMPLETE_REASONING,
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id="complete_reasoning_stream",
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),
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pytest.param(
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False,
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MULTILINE_REASONING,
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id="multiline_reasoning",
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),
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pytest.param(
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True,
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MULTILINE_REASONING,
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id="multiline_reasoning_stream",
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),
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]
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@pytest.mark.parametrize("streaming, param_dict", TEST_CASES)
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def test_reasoning(
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streaming: bool,
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param_dict: dict,
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ernie45_tokenizer,
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):
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output = ernie45_tokenizer.tokenize(param_dict["output"])
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output_tokens: list[str] = []
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for token in output:
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one_token = ernie45_tokenizer.convert_tokens_to_string([token])
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if one_token:
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output_tokens.append(one_token)
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parser: ReasoningParser = ReasoningParserManager.get_reasoning_parser(parser_name)(
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ernie45_tokenizer
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)
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reasoning, content = run_reasoning_extraction(
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parser, output_tokens, streaming=streaming
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)
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print()
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assert reasoning == param_dict["reasoning_content"]
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assert content == param_dict["content"]
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