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internbootcamp/bootcamp/kor_logic_dynamic_logic/kor_logic_dynamic_logic.py
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396
internbootcamp/bootcamp/kor_logic_dynamic_logic/kor_logic_dynamic_logic.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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1.Symbol Definitions
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- Command: `c` represents a basic operation within a program.
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- Proposition: `φ` represents a statement or condition.
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- Program State: Represents the system state after the execution of a command.
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2.Dynamic Operators
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- Necessity Operator: `[ c ]φ` indicates that after executing command `c`, the proposition `φ` will necessarily be true.
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- Possibility Operator: `⟨ c ⟩φ` indicates that after executing command `c`, the proposition `φ` may be true.
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3.Axioms and Rules
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- Substitution Rule:If `c` behaves the same as `d`, then `[ c ]φ` is equivalent to `[ d ]φ`.
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- Sequence Rule:`[ c_1; c_2 ]φ` is equivalent to `[ c_1 ][ c_2 ]φ`.
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- Choice Rule:`[ c_1 + c_2 ]φ` is equivalent to `([ c_1 ]φ ∨ [ c_2 ]φ)`.
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- Loop Rule:For the loop command `c*`, `[ c* ]φ` is equivalent to `φ ∨ ([ c ][ c* ]φ)`.
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- Concurrent Rule:If `c_1` and `c_2` can be executed concurrently, then `⟨ c_1 || c_2 ⟩φ` is equivalent to `⟨ c_1 ⟩⟨ c_2 ⟩φ ∨ ⟨ c_2 ⟩⟨ c_1 ⟩φ`.
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- Interruption Rule:If `c_1` can interrupt `c_2`, then `⟨ c_1; c_2 ⟩φ` is equivalent to `⟨ c_1 ⟩φ`.
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- Exception Rule:If `c` may trigger an exception `e`, then `[ c ]φ` is equivalent to `([ c ]φ ∧ [ e ]φ)`.
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- Resource Limitation Rule:If the command `c` is subject to resource limitation `R`, then `[ c ]φ` is equivalent to `(R ∧ [ c ]φ)`.
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- Dependency Rule:If the execution of `c_1` depends on `c_2`, then `[ c_1 ]φ` is equivalent to `[ c_2 ][ c_1 ]φ`.
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- Priority Rule:If `c_1` has higher priority than `c_2`, then `⟨ c_1; c_2 ⟩φ` is equivalent to `⟨ c_1 ⟩⟨ c_2 ⟩φ`.
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- History Rule:If the execution of `c` depends on the historical command `h`, then `[ c ]φ` is equivalent to `[ h ][ c ]φ`.
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- Prediction Rule:If the system can predict the outcome of `c`, then `[ c ]φ` is equivalent to `[ predict(c) ]φ`.Example questions are as follows:
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<example 0>
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Express using a logical expression that after executing the command sequence c1; c2, the proposition φ will necessarily be true.
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Please provide your answer in the format of [[]].
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</example 0>
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<example 1>
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Write out a logical expression that represents the possibility of the proposition φ being true after executing the command c.
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Please provide your answer in the format of [[]].
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</example 1>
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<example 2>
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Write out a logical expression that represents the proposition φ necessarily being true after the selection of executing command c1 or c2.
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Please provide your answer in the format of [[]].In all expressions, the simplest form after equivalence must be used, i.e., have the fewest occurrences of [] and <>.
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</example 2>
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<example 3>
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If Alice is convinced that the loop command c* will continue to execute until the proposition φ is true, what logical expression should be used to represent her belief?
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Please provide your answer in the format of [[]].In all expressions, the simplest form after equivalence must be used, i.e., have the fewest occurrences of [] and <>.
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</example 3>
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<example 4>
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If Alice considers that executing the command c results in the library's open state being represented by the proposition open,
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and she believes that after executing c, it is certain that open will be true,
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how would you express Alice's belief in logical terms?
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Please provide your answer in the format of [[]].
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</example 4>
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<example 5>
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If Alice is convinced that the loop command c* will persist in execution until the proposition φ is true, what logical expression should be used to represent her belief?
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Please provide your answer in the format of [[]].
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</example 5>
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<example 6>
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If the commands c and d are equivalent according to the Substitution Rule, with what logical expression is [c]φ equivalent?
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Please provide your answer in the format of [[]].
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</example 6>
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<example 7>
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According to the Concurrent Rule,
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if two commands c1 and c2 can be executed simultaneously,
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and neither affects the truth value of the proposition φ,
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please write out the logical expression.
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Please provide your answer in the format of [[]].In all expressions, the simplest form after equivalence must be used, i.e., have the fewest occurrences of [] and <>.
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</example 7>
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<example 8>
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Which of the following rules applies to the situation where an exception e may be triggered after the execution of the command c1?
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A. Substitution Rule
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B. Sequence Rule
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C. Choice Rule
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D. Loop Rule
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E. Concurrent Rule
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F. Interruption Rule
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G. Exception Rule
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H. Resource Limitation Rule
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I. Dependency Rule
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J. Priority Rule
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K. History Rule
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L. Prediction Rule
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Please provide your answer in the format of [[A/B/C/D/E/F/G/H/I/J/K/L]].
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</example 8>
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<example 9>
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If Alice is certain that once the resource limitation R is satisfied, the execution of command c will inevitably result in the outcome result being true, to which of the following rules does this belong?
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A. Substitution Rule
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B. Sequence Rule
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C. Choice Rule
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D. Loop Rule
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E. Concurrent Rule
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F. Interruption Rule
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G. Exception Rule
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H. Resource Limitation Rule
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I. Dependency Rule
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J. Priority Rule
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K. History Rule
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L. Prediction Rule
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Please provide your answer in the format of [[A/B/C/D/E/F/G/H/I/J/K/L]].
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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 KorLogicDynamicLogicbootcamp(Basebootcamp):
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RULE_MAP = {
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'A': 'Substitution Rule',
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'B': 'Sequence Rule',
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'C': 'Choice Rule',
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'D': 'Loop Rule',
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'E': 'Concurrent Rule',
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'F': 'Interruption Rule',
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'G': 'Exception Rule',
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'H': 'Resource Limitation Rule',
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'I': 'Dependency Rule',
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'J': 'Priority Rule',
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'K': 'History Rule',
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'L': 'Prediction Rule'
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}
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def __init__(self, **params):
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self.max_attempts = params.get('max_attempts', 3) # 可配置参数示例
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super().__init__(**params)
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def case_generator(self):
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problem_type = random.choice(['expression', 'multiple_choice'])
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return self._generate_expression_problem() if problem_type == 'expression' \
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else self._generate_multiple_choice_problem()
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def _generate_expression_problem(self):
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cases = [
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# 基础规则集
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{
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'rule': 'Sequence',
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'input': '[c1;c2]φ',
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'answer': '[c1][c2]φ',
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'variants': ['[c2;c1]φ'] # 无效变体示例
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},
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{
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'rule': 'Choice',
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'input': '[c1 + c2]φ',
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'answer': '([c1]φ ∨ [c2]φ)',
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'variants': ['([c2]φ ∨ [c1]φ)']
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},
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{
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'rule': 'Loop',
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'input': '[c*]φ',
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'answer': '(φ ∨ [c][c*]φ)',
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'variants': ['(φ∨[c][c*]φ)']
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},
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# 扩展规则集
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{
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'rule': 'Concurrent',
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'input': '⟨c1||c2⟩φ',
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'answer': '(⟨c1⟩⟨c2⟩φ ∨ ⟨c2⟩⟨c1⟩φ)',
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'variants': ['⟨c2||c1⟩φ']
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},
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{
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'rule': 'Interruption',
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'input': '⟨c1;c2⟩φ',
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'answer': '⟨c1⟩φ',
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'variants': []
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}
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]
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case = random.choice(cases)
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return {
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'type': 'expression',
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'rule': case['rule'],
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'problem': f"Convert '{case['input']}' to equivalent simplest form",
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'expected': case['answer'],
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'valid_variants': [case['answer']] + case['variants']
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}
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def _generate_multiple_choice_problem(self):
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cases = [
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{
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'scenario': "Exception e may be triggered during command execution",
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'correct': 'G',
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'distractors': ['F', 'L']
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},
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{
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'scenario': "Execution depends on historical command h",
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'correct': 'K',
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'distractors': ['I', 'J']
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},
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{
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'scenario': "Commands c1 and c2 can be executed in parallel",
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'correct': 'E',
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'distractors': ['J', 'F']
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}
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]
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case = random.choice(cases)
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options = random.sample(
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[chr(65+i) for i in range(12) if chr(65+i) != case['correct']],
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3
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) + [case['correct']]
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random.shuffle(options)
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return {
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'type': 'multiple_choice',
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'scenario': case['scenario'],
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'correct': case['correct'],
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'options': options
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}
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@staticmethod
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def prompt_func(question_case):
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if question_case['type'] == 'expression':
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return f"""Apply logical rules to simplify the expression:
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{question_case['problem']}
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Rules available:
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- {question_case['rule']} Rule
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Format your answer within [[double brackets]]."""
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else:
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options = '\n'.join(
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[f"{opt}: {KorLogicDynamicLogicbootcamp.RULE_MAP[opt]}"
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for opt in question_case['options']]
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)
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return f"""Which rule applies to this scenario?
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Scenario: {question_case['scenario']}
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Options:
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{options}
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Answer format: [[LETTER]]"""
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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].strip() if matches else None
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@classmethod
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def _verify_correction(cls, solution, identity):
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if identity['type'] == 'multiple_choice':
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return solution.upper() == identity['correct']
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else:
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return cls._normalize(solution) in identity['valid_variants']
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@staticmethod
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def _normalize(expr):
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# 统一表达式格式处理
|
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return re.sub(r'\s+', '', expr).replace('⟨', '[').replace('⟩', ']')
|
||||
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