[Model] Add Holo2 reasoning parser (#30048)
Signed-off-by: hdlj-h <hubert@hcompany.ai>
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tests/reasoning/test_holo2_reasoning_parser.py
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188
tests/reasoning/test_holo2_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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from vllm.reasoning.deepseek_r1_reasoning_parser import DeepSeekR1ReasoningParser
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from vllm.reasoning.holo2_reasoning_parser import Holo2ReasoningParser
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from vllm.reasoning.identity_reasoning_parser import IdentityReasoningParser
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REASONING_MODEL_NAME = "HCompany/Holo2-4B"
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@pytest.fixture(scope="module")
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def tokenizer():
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return AutoTokenizer.from_pretrained(REASONING_MODEL_NAME)
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@pytest.mark.parametrize(
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"thinking,expected_parser_type",
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[
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(True, DeepSeekR1ReasoningParser),
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(False, IdentityReasoningParser),
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],
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)
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def test_parser_selection(tokenizer, thinking, expected_parser_type):
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parser = Holo2ReasoningParser(
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tokenizer,
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chat_template_kwargs={
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"thinking": thinking,
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},
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)
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assert isinstance(parser._parser, expected_parser_type)
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def test_holo2_default_parser_is_deepseekr1(tokenizer):
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parser = Holo2ReasoningParser(tokenizer)
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assert isinstance(parser._parser, DeepSeekR1ReasoningParser)
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def test_holo2_supports_structured_output(tokenizer):
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# Structured output manager uses the reasoning parser to check if the
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# reasoning content is ended before applying the grammar. The main function
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# used is is_reasoning_end. This test checks if the parser is able to
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# correctly identify the end of the reasoning content.
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# important to not pass chat_template_kwargs here as it is done in the
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# StructuredOutputManager
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parser = Holo2ReasoningParser(tokenizer)
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end_token_id = tokenizer.encode("</think>", add_special_tokens=False)[0]
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assert parser.is_reasoning_end([1, 2, 4, end_token_id])
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assert not parser.is_reasoning_end([1, 2, 4])
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assert parser.is_reasoning_end([1, 2, 4, end_token_id, 5])
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# thinking is True, non-streaming
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WITH_THINK = {
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"output": "This is a reasoning section</think>This is the rest",
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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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# thinking is True, streaming
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WITH_THINK_STREAM = {
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"output": "This is a reasoning section</think>This is the rest",
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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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# thinking is False, non-streaming
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THINKING_DISABLED = {
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"output": "This is the rest",
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"reasoning": None,
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"content": "This is the rest",
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}
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# thinking is False, streaming
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THINKING_DISABLED_STREAM = {
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"output": "This is the rest",
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"reasoning": None,
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"content": "This is the rest",
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}
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# thinking is False but the model output </think>, non-streaming
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THINKING_DISABLED_WITH_CLOSE_TAG = {
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"output": "</think>This is the rest",
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"reasoning": None,
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"content": "</think>This is the rest",
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}
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# thinking is False but the model output </think>, streaming
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THINKING_DISABLED_WITH_CLOSE_TAG_STREAM = {
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"output": "some text</think>This is the rest",
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"reasoning": None,
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"content": "some text</think>This is the rest",
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}
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COMPLETE_REASONING = {
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"output": "This is a reasoning section</think>",
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"reasoning": "This is a reasoning section",
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"content": None,
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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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None,
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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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None,
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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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WITH_THINK,
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{"thinking": True},
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id="with_think_enabled",
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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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{"thinking": True},
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id="with_think_stream_enabled",
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),
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pytest.param(
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False,
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THINKING_DISABLED,
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{"thinking": False},
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id="thinking_disabled",
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),
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pytest.param(
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True,
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THINKING_DISABLED_STREAM,
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{"thinking": False},
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id="thinking_disabled_stream",
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),
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pytest.param(
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False,
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THINKING_DISABLED_WITH_CLOSE_TAG,
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{"thinking": False},
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id="thinking_disabled_with_close_tag",
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),
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pytest.param(
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True,
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THINKING_DISABLED_WITH_CLOSE_TAG_STREAM,
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{"thinking": False},
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id="thinking_disabled_with_close_tag_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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None,
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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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None,
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id="complete_reasoning_stream",
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),
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]
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@pytest.mark.parametrize("streaming, param_dict, chat_template_kwargs", 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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chat_template_kwargs: dict | None,
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tokenizer,
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):
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output = tokenizer.tokenize(param_dict["output"])
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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("holo2")(
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tokenizer,
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chat_template_kwargs=chat_template_kwargs,
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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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