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288
tests/reasoning/test_deepseekr1_reasoning_parser.py
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288
tests/reasoning/test_deepseekr1_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 = "deepseek_r1"
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start_token = "<think>"
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end_token = "</think>"
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REASONING_MODEL_NAME = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
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@pytest.fixture(scope="module")
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def deepseek_r1_qwen_tokenizer():
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return AutoTokenizer.from_pretrained(REASONING_MODEL_NAME)
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SIMPLE_REASONING = {
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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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"is_reasoning_end": True,
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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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"is_reasoning_end": True,
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}
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NO_CONTENT = {
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"output": "This is content",
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"reasoning": "This is content",
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"content": None,
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"is_reasoning_end": False,
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}
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NO_REASONING_STREAMING = {
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"output": "This is a reasoning section",
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"reasoning": "This is a reasoning section",
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"content": None,
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"is_reasoning_end": False,
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}
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MULTIPLE_LINES = {
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"output": "This\nThat</think>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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"is_reasoning_end": True,
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}
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SHORTEST_REASONING_NO_STREAMING = {
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"output": "</think>This is the rest",
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"reasoning": "",
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"content": "This is the rest",
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"is_reasoning_end": True,
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}
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SHORTEST_REASONING = {
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"output": "</think>This is the rest",
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"reasoning": None,
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"content": "This is the rest",
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"is_reasoning_end": True,
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}
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REASONING_WITH_THINK = {
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"output": "<think>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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"is_reasoning_end": True,
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}
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COMPLETE_REASONING_WITH_THINK = {
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"output": "<think>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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"is_reasoning_end": True,
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}
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MULTIPLE_LINES_WITH_THINK = {
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"output": "<think>This\nThat</think>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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"is_reasoning_end": True,
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}
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SHORTEST_REASONING_NO_STREAMING_WITH_THINK = {
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"output": "</think>This is the rest",
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"reasoning": "",
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"content": "This is the rest",
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"is_reasoning_end": True,
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}
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SHORTEST_REASONING_WITH_THINK = {
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"output": "</think>This is the rest",
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"reasoning": None,
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"content": "This is the rest",
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"is_reasoning_end": True,
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}
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THINK_NO_END = {
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"output": "<think>This is a reasoning section",
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"reasoning": "This is a reasoning section",
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"content": None,
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"is_reasoning_end": False,
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}
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EMPTY = {
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"output": "",
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"reasoning": "",
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"content": None,
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"is_reasoning_end": False,
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}
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EMPTY_STREAMING = {
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"output": "",
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"reasoning": None,
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"content": None,
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"is_reasoning_end": False,
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}
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NEW_LINE = {
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"output": "\n<think>This is a reasoning section</think>\nThis is the rest",
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"reasoning": "This is a reasoning section",
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"content": "\nThis is the rest",
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"is_reasoning_end": True,
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}
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# Streaming cannot handle new lines at the beginning of the output
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# because we need to support <think>...</think> and </think>...
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# We cannot know if the text before <think> is reasoning content
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# or not.
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NEW_LINE_STREAMING = {
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"output": "\n<think>This is a reasoning section</think>\nThis is the rest",
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"reasoning": "\nThis is a reasoning section",
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"content": "\nThis is the rest",
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"is_reasoning_end": True,
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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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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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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_streaming",
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),
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pytest.param(
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False,
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NO_CONTENT,
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id="no_content_token",
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),
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pytest.param(
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True,
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NO_REASONING_STREAMING,
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id="no_reasoning_token_streaming",
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),
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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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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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SHORTEST_REASONING,
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id="shortest",
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),
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pytest.param(
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False,
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SHORTEST_REASONING_NO_STREAMING,
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id="shortest_streaming",
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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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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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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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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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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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MULTIPLE_LINES_WITH_THINK,
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id="multiple_lines_with_think_streaming",
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),
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pytest.param(
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False,
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SHORTEST_REASONING_NO_STREAMING_WITH_THINK,
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id="shortest_with_think",
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),
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pytest.param(
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True,
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SHORTEST_REASONING_WITH_THINK,
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id="shortest_with_think_streaming",
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),
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pytest.param(
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False,
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THINK_NO_END,
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id="think_no_end",
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),
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pytest.param(
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True,
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THINK_NO_END,
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id="think_no_end_streaming",
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),
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pytest.param(
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False,
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EMPTY,
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id="empty",
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),
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pytest.param(
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True,
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EMPTY_STREAMING,
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id="empty_streaming",
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),
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pytest.param(
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False,
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NEW_LINE,
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id="new_line",
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),
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pytest.param(
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True,
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NEW_LINE_STREAMING,
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id="new_line_streaming",
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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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deepseek_r1_qwen_tokenizer,
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):
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output = deepseek_r1_qwen_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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deepseek_r1_qwen_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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deepseek_r1_qwen_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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# Test is_reasoning_end
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output_ids = deepseek_r1_qwen_tokenizer.convert_tokens_to_ids(output)
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is_reasoning_end = parser.is_reasoning_end(output_ids)
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assert is_reasoning_end == param_dict["is_reasoning_end"]
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# Test extract_content
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if param_dict["content"] is not None:
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content = parser.extract_content_ids(output_ids)
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assert content == deepseek_r1_qwen_tokenizer.convert_tokens_to_ids(
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deepseek_r1_qwen_tokenizer.tokenize(param_dict["content"])
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)
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else:
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content = parser.extract_content_ids(output)
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assert content == []
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