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168
tests/reasoning/test_hunyuan_reasoning_parser.py
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168
tests/reasoning/test_hunyuan_reasoning_parser.py
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# 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 = "hunyuan_a13b"
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START_REASONING = "<think>\n"
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START_RESPONSE = "\n</think>\n<answer>\n"
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END_RESPONSE = "\n</answer>"
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NO_REASONING_QUICK_THROUGHT = {
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"output": f"{START_REASONING}{START_RESPONSE}This is the rest{END_RESPONSE}", # noqa: E501
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"reasoning": None,
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"content": "This is the rest",
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}
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SIMPLE_REASONING = {
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"output": f"{START_REASONING}This is a reasoning section{START_RESPONSE}This is the rest{END_RESPONSE}", # noqa: E501
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"reasoning": "This is a reasoning section",
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"content": "This is the rest",
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}
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COMPLETE_REASONING = {
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"output": f"{START_REASONING}This is a reasoning section{START_RESPONSE}",
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"reasoning": "This is a reasoning section",
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"content": None,
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}
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COMPLETE_REASONING_WITH_SYMBOL = {
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"output": f"{START_REASONING}This is a reasoning section!{START_RESPONSE}",
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"reasoning": "This is a reasoning section!",
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"content": None,
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}
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NO_REASONING = {
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"output": "This is content",
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"reasoning": None,
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"content": "This is content",
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}
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MULTIPLE_LINES = {
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"output": f"{START_REASONING}This\nThat{START_RESPONSE}This is the rest\nThat",
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"reasoning": "This\nThat",
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"content": "This is the rest\nThat",
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}
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REASONING_WITH_THINK = {
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"output": f"{START_REASONING}This is a reasoning section{START_RESPONSE}This is the rest", # noqa: E501
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"reasoning": "This is a reasoning section",
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"content": "This is the rest",
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}
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COMPLETE_REASONING_WITH_THINK = {
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"output": f"{START_REASONING}This is a reasoning section{START_RESPONSE}",
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"reasoning": "This is a reasoning section",
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"content": None,
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}
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MULTIPLE_LINES_WITH_THINK = {
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"output": f"{START_REASONING}This\nThat{START_RESPONSE}This is the rest\nThat",
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"reasoning": "This\nThat",
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"content": "This is the rest\nThat",
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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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SIMPLE_REASONING,
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id="simple_reasoning",
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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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False,
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COMPLETE_REASONING_WITH_SYMBOL,
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id="complete_reasoning_with_symbol",
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),
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pytest.param(
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False,
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NO_REASONING,
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id="no_reasoning",
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),
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pytest.param(False, NO_REASONING_QUICK_THROUGHT, id="no_reasoning_quick"),
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pytest.param(
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False,
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MULTIPLE_LINES,
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id="multiple_lines",
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),
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pytest.param(
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False,
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REASONING_WITH_THINK,
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id="reasoning_with_think",
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),
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pytest.param(
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False,
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COMPLETE_REASONING_WITH_THINK,
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id="complete_reasoning_with_think",
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),
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pytest.param(
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False,
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MULTIPLE_LINES_WITH_THINK,
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id="multiple_lines_with_think",
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),
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pytest.param(
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True,
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SIMPLE_REASONING,
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id="simple_reasoning_streaming",
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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_streaming",
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),
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pytest.param(
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True,
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NO_REASONING,
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id="no_reasoning_streaming",
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),
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pytest.param(True, NO_REASONING_QUICK_THROUGHT, id="no_reasoning_quick_stream"),
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pytest.param(
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True,
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MULTIPLE_LINES,
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id="multiple_lines_streaming",
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),
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pytest.param(
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True,
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REASONING_WITH_THINK,
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id="reasoning_with_think_streaming",
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),
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pytest.param(
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True,
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COMPLETE_REASONING_WITH_THINK,
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id="complete_reasoning_with_think_streaming",
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),
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pytest.param(
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True,
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MULTIPLE_LINES_WITH_THINK,
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id="multiple_lines_with_think_streaming",
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),
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]
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# Global tokenizer initialization to avoid repeated loading
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tokenizer = AutoTokenizer.from_pretrained(
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"tencent/Hunyuan-A13B-Instruct", trust_remote_code=True
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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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):
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output = tokenizer.tokenize(param_dict["output"])
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# decode everything to tokens
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output_tokens: list[str] = [
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tokenizer.convert_tokens_to_string([token]) for token in output
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]
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parser: ReasoningParser = ReasoningParserManager.get_reasoning_parser(parser_name)(
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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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assert reasoning == param_dict["reasoning"]
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assert content == param_dict["content"]
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