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363
internbootcamp/bootcamp/kor_operation_unicodeffe1/kor_operation_unicodeffe1.py
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363
internbootcamp/bootcamp/kor_operation_unicodeffe1/kor_operation_unicodeffe1.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∪B)−(A∩B).Example questions are as follows:
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<example 0>
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A={1,2,3}, B={3,4,5}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]].
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</example 0>
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<example 1>
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A={a,b,c}, B={c,d,e}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]].
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</example 1>
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<example 2>
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A={1,2,3,4,5}, B={4,5,6,7,8}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]]
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</example 2>
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<example 3>
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A={m,n}, B={n,o,p}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]]
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</example 3>
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<example 4>
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A={1,3,5}, B={2,4,6}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]]
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</example 4>
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<example 5>
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A={x,y,z}, B={w,x,z}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]]
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</example 5>
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<example 6>
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A={p,q,r}, B={q,r,s}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]].
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</example 6>
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<example 7>
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A={x∈R∣x>0}, B={x∈R∣x<1}.
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Compute A£B.
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Use a set like {x∣x<1} to present the answer. Use '≤' for less than or equal to, and '≥' for greater than or equal to. Separate conditions with 'or' if there are multiple conditions.
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Please wrap the answer in double square brackets, like this: [[you answer]].
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</example 7>
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<example 8>
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A={x∣x is a real number}, B = {x∣x^2<1}.
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Compute A£B.
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Use a set like {x∣x<1} to present the answer. Use '≤' for less than or equal to, and '≥' for greater than or equal to. Separate conditions with 'or' if there are multiple conditions.
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Please wrap the answer in double square brackets, like this: [[you answer]].
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</example 8>
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<example 9>
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A={x∣x is a natural number}, B = {x∣x is postive}.
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Compute A£B.
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Please wrap the answer in double square brackets, like this: [[{the elements in the collection}]]
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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 random
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import re
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from bootcamp import Basebootcamp
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class KorOperationUnicodeffe1bootcamp(Basebootcamp):
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def __init__(self, finite_prob=0.7, interval_prob=0.2, special_prob=0.1, max_size=5, element_type='mixed', **kwargs):
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super().__init__()
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total = finite_prob + interval_prob + special_prob
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if total <= 0:
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total = 1.0
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finite_prob = 0.7
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interval_prob = 0.2
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special_prob = 0.1
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self.finite_prob = finite_prob / total
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self.interval_prob = interval_prob / total
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self.special_prob = special_prob / total
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self.max_size = max_size
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self.element_type = element_type
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def case_generator(self):
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rand_val = random.random()
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if rand_val < self.finite_prob:
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return self.generate_finite_case()
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elif rand_val < self.finite_prob + self.interval_prob:
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return self.generate_interval_case()
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else:
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return self.generate_special_case()
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def generate_finite_case(self):
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element_type = self.element_type
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if element_type == 'mixed':
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element_type = random.choice(['number', 'letter'])
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size_A = random.randint(2, self.max_size)
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size_B = random.randint(2, self.max_size)
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if element_type == 'number':
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elements = list(range(1, 21))
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A = sorted(random.sample(elements, size_A))
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B = sorted(random.sample(elements, size_B))
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else:
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letters = [chr(ord('a') + i) for i in range(26)]
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A = sorted(random.sample(letters, size_A))
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B = sorted(random.sample(letters, size_B))
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A_set = set(A)
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B_set = set(B)
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solution = sorted(list(A_set.symmetric_difference(B_set)))
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return {
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'type': 'finite',
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'A': A,
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'B': B,
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'solution': solution
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}
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def generate_interval_case(self):
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template = random.choice([1, 2, 3])
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if template == 1: # 非重叠区间
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a = random.randint(-5, 3)
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b = a + random.randint(2, 4)
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while True:
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c = random.randint(b+1, b+3)
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if c > b: break
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A_desc = f'x > {a}'
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B_desc = f'x < {b}'
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solution = f'{{x | x ≤ {a} or x ≥ {b}}}'
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elif template == 2: # 包含区间
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a = random.randint(2, 5)
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b = random.randint(-3, a-1)
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A_desc = f'x < {a}'
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B_desc = f'x > {b}'
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solution = f'{{x | x ≤ {b} or x ≥ {a}}}'
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else: # 二次不等式
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c = random.randint(1, 3)
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A_desc = 'x is a real number'
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B_desc = f'x² < {c**2}'
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solution = f'{{x | x ≤ -{c} or x ≥ {c}}}'
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return {
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'type': 'interval',
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'A': A_desc,
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'B': B_desc,
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'solution': solution
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}
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def generate_special_case(self):
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case_type = random.choice([1, 2])
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if case_type == 1: # 自然数 vs 正整数
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return {
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'type': 'special',
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'A': 'x is a natural number (including 0)',
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'B': 'x is a positive integer',
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'solution': '{0}'
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}
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else: # 全体实数 vs 空集
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return {
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'type': 'special',
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'A': 'x is a real number',
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'B': 'x is an element of empty set',
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'solution': '{x | x ∈ ℝ}'
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}
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@staticmethod
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def prompt_func(question_case) -> str:
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case_type = question_case.get('type', 'finite')
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if case_type == 'finite':
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A_str = "{" + ", ".join(map(str, question_case['A'])) + "}"
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B_str = "{" + ", ".join(map(str, question_case['B'])) + "}"
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prompt = f"Given two finite sets:\nA = {A_str}\nB = {B_str}\n\nCompute the symmetric difference A£B.\nFormat: [[sorted, comma-separated elements]]"
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elif case_type == 'interval':
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prompt = (
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f"Given:\nA = {{{question_case['A']}}}\n"
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f"B = {{{question_case['B']}}}\n\n"
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"Compute A£B using inequalities with ≤/≥.\n"
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"Format: [[{{x | condition}}]]"
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)
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else:
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prompt = (
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f"Given:\nA = {{{question_case['A']}}}\n"
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f"B = {{{question_case['B']}}}\n\n"
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"Compute A£B considering mathematical definitions.\n"
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"Format: [[set_notation]]"
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)
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rules = (
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"Rules:\n"
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"1. A£B = (A∪B) - (A∩B)\n"
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"2. Use comma-separated sorted elements for finite sets\n"
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"3. Use '≤'/'≥' for inequalities\n"
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"4. Answer MUST be within double square brackets\n\n"
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)
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return rules + prompt
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@staticmethod
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def extract_output(output):
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matches = re.findall(r'\[\[(.*?)\]\]', output, re.DOTALL)
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return matches[-1].strip() if matches else None
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@classmethod
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def _verify_correction(cls, solution, identity):
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case_type = identity.get('type', 'finite')
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correct = identity['solution']
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def normalize(s):
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s = re.sub(r'\s+', '', s).lower()
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s = s.replace('< =', '≤').replace('>=', '≥')
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s = s.replace('=<', '≤').replace('=>', '≥')
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return s
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if case_type == 'finite':
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try:
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elements = re.findall(r'[^,{}\s]+', solution)
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parsed = {int(e) if e.isdigit() else e for e in elements}
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return parsed == set(correct)
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except:
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return False
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else:
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return normalize(solution) == normalize(str(correct))
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||||
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