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internbootcamp/bootcamp/kor_operation_unicode221e/kor_operation_unicode221e.py
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internbootcamp/bootcamp/kor_operation_unicode221e/kor_operation_unicode221e.py
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"""# 谜题训练场开发任务
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## 任务概述
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你是一位资深程序员,我需要你帮我实现一个特定谜题的训练场环境类。这个类继承自`Basebootcamp`,用于生成谜题实例并验证解答。
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## 背景说明
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我正在开发一系列谜题训练场,每个训练场对应一个特定类型的谜题。训练场类命名为`{PuzzleName}bootcamp`,其中`PuzzleName`是谜题的名称。
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每个训练场类主要提供两个核心功能:
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1. 生成该谜题类型的问题实例
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2. 验证用户对问题的回答是否正确
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## 技术接口规范
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### 类方法实现要求
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```python
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from bootcamp import Basebootcamp
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class {PuzzleName}bootcamp(Basebootcamp):
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def __init__(self, **params):
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\"\"\"
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请你自定义params,以保存该puzzle相关的参数,例如网格大小等,参数配有默认值
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\"\"\"
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pass
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def case_generator(self):
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\"\"\"
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生成谜题实例,提示:为保证谜题有解,可以先生成结果再对结果处理得到谜题
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返回:一个可JSON序列化的字典(避免包含set等无法通过json.dumps处理的数据结构)
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\"\"\"
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pass
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@staticmethod
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def prompt_func(question_case) -> str:
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\"\"\"
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将case_generator生成的谜题实例转换为文本形式的问题,问题中包含问题背景、对谜题规则的介绍、具体要解决的谜题实例、期望最终答案的格式,
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例如:你是xxxx,请你解答yyyy,规则如下:yyyy,最终答案放置在:zzzzz
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注意:请参照提供的谜题描述进行复述,规则应当描述详细,包括任务背景、具体任务操作规则、对题目格式和答案格式的含义介绍等,
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参数:
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question_case: 由case_generator生成的谜题实例
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返回:
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str: 格式化的问题字符串
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注意:
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1. 需考虑问题的格式,以便后续能正确提取
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2. 问题描述中应包含期望的答案格式说明,以便后续能正确提取,为了避免抽取时匹配出干扰项,请要求模型将答案放在特定标签(如双括号)内,例如[[your answer here]]
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\"\"\"
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pass
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@staticmethod
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def extract_output(output):
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\"\"\"
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从LLM的回复中提取符合格式要求的答案,如有多个,请抽取最后一个,避免使用re.search等只抽取第一个结果的方式。
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参数:
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output: LLM的完整输出(包含原始问题和回答)
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返回:
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提取的答案,若未找到符合格式的答案则返回None
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\"\"\"
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pass
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@classmethod
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def _verify_correction(cls, solution, identity):
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\"\"\"
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验证提取的答案是否正确,注意一个问题可以能有多个解,按照谜题规则进行检验,不要直接匹配可能的答案。
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参数:
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solution: extract_output提取的答案
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identity: case_generator生成的谜题实例
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返回:
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bool: 答案是否正确
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\"\"\"
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pass
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```
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### 验证评分方法(基类已实现)
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```python
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@classmethod
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def verify_score(cls, model_output, identity:dict, format_score=0.1) -> float:
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\"\"\"
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验证输出结果并评分。
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参数:
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model_output: 模型的完整输出
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identity: 谜题实例(由case_generator生成)
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format_score: 答案格式正确时的基础分数
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返回:
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float: 评分结果(0-1之间)
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\"\"\"
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score = 0.
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try:
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extract_solution = cls.extract_output(model_output)
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if extract_solution is None:
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return score
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else:
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score = format_score # 格式正确时的基础分数
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if cls._verify_correction(extract_solution, identity):
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score = 1. # 答案完全正确时的满分
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except Exception as e:
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# 处理异常情况
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pass
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return score
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```
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### 使用示例
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```python
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# 初始化谜题训练场
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bootcamp = Puzzlebootcamp()
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# 生成谜题实例
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case = bootcamp.case_generator()
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# 将谜题转换为文本问题
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prompt = Puzzlebootcamp.prompt_func(case)
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# 获取LLM对问题的解答
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response = get_response(prompt, \"LLM\")
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# 从完整对话中提取答案
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extracted_output = Puzzlebootcamp.extract_output(prompt + response)
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# 验证答案并评分
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score = Puzzlebootcamp.verify_score(extracted_output, case)
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```
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## 你的任务
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请根据以下谜题描述(谜题描述可能不完整,请先结合你的知识澄清规则),实现一个完整的谜题训练场类:
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### 谜题描述
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a∞b=a^2+b^2.
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a and b are positive integers.Example questions are as follows:
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<example 0>
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Compute 2∞3.
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Please ensure the answer is a single number and wrap it in double square brackets, like this: [[your answer]].
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</example 0>
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<example 1>
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Compute 4∞5.
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Please ensure the answer is a single number and wrap it in double square brackets, like this: [[your answer]].
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</example 1>
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<example 2>
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Compute 1∞7.
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Please ensure the answer is a single number and wrap it in double square brackets, like this: [[your answer]].
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</example 2>
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<example 3>
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Compute 3∞6.
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Please ensure the answer is a single number and wrap it in double square brackets, like this: [[your answer]].
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</example 3>
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<example 4>
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Compute 5∞8.
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Please ensure the answer is a single number and wrap it in double square brackets, like this: [[your answer]].
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</example 4>
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<example 5>
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If X∞4=20, find X.
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The answer should only be given as a number.
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Please wrap the answer in double square brackets, like this: [[your answer]].
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</example 5>
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<example 6>
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If 3∞X=18, find X.
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The answer should only be given as a number.
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Please wrap the answer in double square brackets, like this: [[your answer]].
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</example 6>
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<example 7>
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If X∞5=41, find X.
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The answer should only be given as a number.
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Please wrap the answer in double square brackets, like this: [[your answer]].
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</example 7>
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<example 8>
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If X∞8=80, find X.
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The answer should only be given as a number.
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Please wrap the answer in double square brackets, like this: [[your answer]].
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</example 8>
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<example 9>
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If X∞6=45, find X.
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The answer should only be given as a number.
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Please wrap the answer in double square brackets, like this: [[your answer]].
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</example 9>
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请完成上述谜题的训练场环境类实现,包括所有必要的方法。
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"""
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from bootcamp import Basebootcamp
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import re
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import random
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from bootcamp import Basebootcamp
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class KorOperationUnicode221ebootcamp(Basebootcamp):
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def __init__(self, max_num=10, solve_ratio=0.5):
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self.max_num = max_num
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self.solve_ratio = solve_ratio
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def case_generator(self):
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"""增强案例生成逻辑,保证数值有效性"""
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if random.random() < self.solve_ratio:
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var_type = random.choice(['x', 'y'])
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if var_type == 'x':
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while True:
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b = random.randint(1, self.max_num)
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x = random.randint(1, self.max_num)
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c = x**2 + b**2
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# 确保解在允许范围内
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valid_solutions = [
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i for i in range(1, self.max_num+1)
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if i**2 + b**2 == c
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]
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if len(valid_solutions) == 1:
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return {"problem_type": "solve_x", "b": b, "c": c}
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else:
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while True:
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a = random.randint(1, self.max_num)
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y = random.randint(1, self.max_num)
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c = a**2 + y**2
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valid_solutions = [
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i for i in range(1, self.max_num+1)
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if a**2 + i**2 == c
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]
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if len(valid_solutions) == 1:
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return {"problem_type": "solve_y", "a": a, "c": c}
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else:
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# 允许生成相同的a和b
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a = random.randint(1, self.max_num)
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b = random.randint(1, self.max_num)
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return {"problem_type": "compute", "a": a, "b": b}
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@staticmethod
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def prompt_func(question_case) -> str:
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problem_templates = {
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"compute": "计算 {a}∞{b} 的结果。答案格式示例:[[13]]",
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"solve_x": "解方程 X∞{b} = {c}。答案格式示例:[[2]]",
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"solve_y": "解方程 {a}∞Y = {c}。答案格式示例:[[3]]"
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}
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template = """请根据以下规则解决问题:
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- 运算符定义:a∞b = a² + b²
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- 所有变量均为正整数
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当前问题:
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{problem_statement}
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请将最终答案放在双括号内,如:[[答案]]"""
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return template.format(
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problem_statement=problem_templates[question_case["problem_type"]].format(**question_case)
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)
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@staticmethod
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def extract_output(output):
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"""增强正则匹配模式"""
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matches = re.findall(r'\[\[\s*(\d+)\s*\]\]', output)
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return matches[-1] if matches else None
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@classmethod
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def _verify_correction(cls, solution, identity):
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"""增强数值范围验证"""
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try:
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sol = int(solution)
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if sol < 1:
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return False
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except (ValueError, TypeError):
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return False
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if identity["problem_type"] == "compute":
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a, b = identity["a"], identity["b"]
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return sol == a**2 + b**2
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if identity["problem_type"] == "solve_x":
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b_val = identity["b"]
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c_val = identity["c"]
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return sol**2 + b_val**2 == c_val and sol <= identity.get("max_num", 10)
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if identity["problem_type"] == "solve_y":
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a_val = identity["a"]
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return a_val**2 + sol**2 == identity["c"] and sol <= identity.get("max_num", 10)
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return False
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