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internbootcamp/bootcamp/kor_operation_unicodeffe0/kor_operation_unicodeffe0.py
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342
internbootcamp/bootcamp/kor_operation_unicodeffe0/kor_operation_unicodeffe0.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=\log_{b}{a}+\log_{a}{b}.
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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¢8.
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If the answer is a fraction, write it in 'a/b' text format.Decimals are not allowed.
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Please wrap the answer 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 3¢9.
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If the answer is a fraction, write it in 'a/b' text format.Decimals are not allowed.
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Please wrap the answer 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 2¢2¢4.
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If the answer is a fraction, write it in 'a/b' text format.Decimals are not allowed.
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Please wrap the answer 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 5¢8.
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If the answer cannot be reduced to an integer or fraction then retain the form \log_{b}{a}+\log_{a}{b}.
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Please provide your answer in LaTeX format. Please wrap the answer 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 16¢256.
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If the answer is a fraction, write it in 'a/b' text format.Decimals are not allowed.
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Please wrap the answer in double square brackets, like this: [[your answer]].
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</example 4>
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<example 5>
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Compute 9¢243.
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If the answer is a fraction, write it in 'a/b' text format.Decimals are not allowed.
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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 512¢X=82/9, 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 3¢X=17/4, 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¢256=73/24, 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 3¢3¢X=5/2, 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 random
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import math
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from fractions import Fraction
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import re
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from bootcamp import Basebootcamp
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class KorOperationUnicodeffe0bootcamp(Basebootcamp):
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def __init__(self, min_value=2, max_value=256, problem_types=None, allow_multilevel=True):
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self.min = min_value
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self.max = max_value
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self.problem_types = problem_types or ['compute', 'solve']
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self.allow_multilevel = allow_multilevel
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@staticmethod
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def is_power(a, b):
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"""判断两个数是否互为整数幂"""
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if a == 1 or b == 1:
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return a == b
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try:
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exponent = math.log(a, b)
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return abs(exponent - round(exponent)) < 1e-10 and b**round(exponent) == a
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except ValueError:
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pass
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try:
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exponent = math.log(b, a)
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return abs(exponent - round(exponent)) < 1e-10 and a**round(exponent) == b
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except ValueError:
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return False
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def case_generator(self):
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problem_type = random.choice(self.problem_types)
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def generate_expressible():
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k = random.randint(1,4)
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b = random.randint(self.min, self.max)
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a = b ** k
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while a > self.max:
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k = random.randint(1,4)
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b = random.randint(self.min, self.max)
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a = b ** k
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return a, b, Fraction(k**2 +1, k)
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if problem_type == 'compute':
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if random.random() < 0.3:
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a = random.randint(self.min, self.max)
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b = random.randint(self.min, self.max)
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while self.is_power(a, b) or a == b:
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a = random.randint(self.min, self.max)
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b = random.randint(self.min, self.max)
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return {
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"type": "compute",
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"expression": [a, b],
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"log_expr": f"\\log_{{{b}}}{{{a}}} + \\log_{{{a}}}{{{b}}}",
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"is_expressible": False
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}
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if self.allow_multilevel and random.random() < 0.5:
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a, base, frac = generate_expressible()
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m = random.randint(1,4)
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c = base ** m
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return {
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"type": "compute",
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"expression": [a, base, c],
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"target": str(Fraction(m**2 +1, m)),
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"is_expressible": True
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}
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else:
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a, b, frac = generate_expressible()
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return {
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"type": "compute",
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"expression": [a, b],
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"target": f"{frac.numerator}/{frac.denominator}",
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"is_expressible": True
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}
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else: # solve类型完整实现
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# 生成单层求解案例
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position = random.choice([0, 1])
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X = random.randint(self.min, self.max)
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k = random.randint(1,4)
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if position == 0:
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b = X ** k
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equation = ['X', b]
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else:
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a = X ** k
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equation = [a, 'X']
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target = Fraction(k**2 +1, k)
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return {
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"type": "solve",
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"equation": equation,
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"target": f"{target.numerator}/{target.denominator}",
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"solution": X
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}
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@staticmethod
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def prompt_func(question_case):
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definition = """a¢b=\log_{b}{a}+\log_{a}{b}.
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a and b are positive integers.
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"""
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if question_case['type'] == 'compute':
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expr = '¢'.join(map(str, question_case['expression']))
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prompt = f"Compute {expr}.\n"
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if not question_case.get('is_expressible', True):
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prompt += "If the answer cannot be reduced to an integer or fraction then retain the form \\log_{b}{a}+\\log_{a}{b}.\n"
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prompt += "Please provide your answer in LaTeX format. "
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else:
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prompt += "If the answer is a fraction, write it in 'a/b' text format. Decimals are not allowed.\n"
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prompt += "Please wrap the answer in double square brackets, like this: [[your answer]]."
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return definition + prompt
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else:
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equation_str = '¢'.join(
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[str(x) if x != 'X' else 'X' for x in question_case['equation']]
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)
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prompt = f"If {equation_str} = {question_case['target']}, find X.\n"
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prompt += "The answer should only be given as a number.\n"
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prompt += "Please wrap the answer in double square brackets, like this: [[your answer]]."
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return definition + prompt
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@staticmethod
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def extract_output(output):
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matches = re.findall(r'\[\[(.*?)\]\]', 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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try:
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if identity['type'] == 'compute':
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if identity.get('is_expressible', True):
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return Fraction(solution) == Fraction(identity['target'])
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else:
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given = re.sub(r'\s+', '', solution)
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expected = re.sub(r'\s+', '', identity['log_expr'])
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return given == expected
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else:
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return int(solution) == identity['solution']
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except:
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return False
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