"""# 谜题训练场开发任务 ## 任务概述 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。 ## 背景说明 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。 每个训练场类主要提供两个核心功能: 1. 生成该谜题类型的问题实例 2. 验证用户对问题的回答是否正确 ## 技术接口规范 ### 类方法实现要求 ```python class {PuzzleName}bootcamp(Basebootcamp): def __init__(self, **params): \"\"\" 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 \"\"\" pass def case_generator(self): \"\"\" 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 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) \"\"\" pass @staticmethod def prompt_func(question_case) -> str: \"\"\" 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, 例如:你是xxxx,请你解答yyyy,规则如下:yyyy,最终答案放置在:zzzzz 参数: question_case: 由case_generator生成的谜题实例 返回: str: 格式化的问题字符串 注意: 1. 需考虑问题的格式,以便后续能正确提取 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[answer] [/answer]内 \"\"\" pass @staticmethod def extract_output(output): \"\"\" 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。 参数: output: LLM的完整输出(包含原始问题和回答) 返回: 提取的答案,若未找到符合格式的答案则返回None \"\"\" pass @classmethod def _verify_correction(cls, solution, identity): \"\"\" 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。 参数: solution: extract_output提取的答案 identity: case_generator生成的谜题实例 返回: bool: 答案是否正确 \"\"\" pass ``` ### 验证评分方法(基类已实现) ```python @classmethod def verify_score(cls, model_output, identity:dict, format_score=0.1) -> float: \"\"\" 验证输出结果并评分。 参数: model_output: 模型的完整输出 identity: 谜题实例(由case_generator生成) format_score: 答案格式正确时的基础分数 返回: float: 评分结果(0-1之间) \"\"\" score = 0. try: extract_solution = cls.extract_output(model_output) if extract_solution is None: return score else: score = format_score # 格式正确时的基础分数 if cls._verify_correction(extract_solution, identity): score = 1. # 答案完全正确时的满分 except Exception as e: # 处理异常情况 pass return score ``` ### 使用示例 ```python # 初始化谜题训练场 bootcamp = Puzzlebootcamp() # 生成谜题实例 case = bootcamp.case_generator() # 将谜题转换为文本问题 prompt = Puzzlebootcamp.prompt_func(case) # 获取LLM对问题的解答 response = get_response(prompt, \"LLM\") # 从完整对话中提取答案 extracted_output = Puzzlebootcamp.extract_output(prompt + response) # 验证答案并评分 score = Puzzlebootcamp.verify_score(extracted_output, case) ``` ## 你的任务 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: ### 谜题描述 **Heyawake Puzzle Rules Explained:** 1. **Grid Structure**: - Played on a rectangular grid divided into polyomino regions (\"rooms\"). - Some rooms contain a number; others are unnumbered. 2. **Black Cell Placement**: - **Isolation**: No two black cells may be adjacent horizontally or vertically (diagonal is allowed). - **Room Constraints**: - A room with a number **N** must contain exactly **N** black cells. - Unnumbered rooms can have any number of black cells (including zero). 3. **White Cell Connectivity**: - All white (uncolored) cells must form **a single contiguous area** connected edge-to-edge (diagonals do not count). 4. **Stripe Prevention (Three Rooms Rule)**: - In any row or column, a straight line of white cells cannot span **three or more rooms** without interruption by at least one black cell. This prevents white \"stripes\" crossing multiple rooms. 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。 """ from bootcamp import Basebootcamp import re from collections import deque class Heyawakebootcamp(Basebootcamp): def __init__(self, rows=3, cols=3): self.rows = rows self.cols = cols def case_generator(self): # 生成一个简单的谜题实例,房间0的number为0,确保有解 rows = self.rows cols = self.cols rooms = [ { 'cells': [(0, 0)], 'number': 0 }, { 'cells': [(i, j) for i in range(rows) for j in range(cols) if (i, j) != (0, 0)] # 无number } ] return { 'rows': rows, 'cols': cols, 'rooms': rooms } @staticmethod def prompt_func(question_case) -> str: rows = question_case['rows'] cols = question_case['cols'] rooms = question_case['rooms'] problem_desc = "请解决以下Heyawake谜题:\n\n" problem_desc += "谜题规则:\n" problem_desc += "1. 黑格不能水平或垂直相邻。\n" problem_desc += "2. 每个带有数字的房间必须包含恰好该数字的黑格。未带数字的房间可以有任何数量的黑格。\n" problem_desc += "3. 所有白格必须形成一个连通的区域。\n" problem_desc += "4. 同一行或列中的连续白格不能跨越三个或更多不同的房间。\n\n" problem_desc += f"网格尺寸:{rows}行×{cols}列。\n" problem_desc += "房间划分及其数字说明:\n" for idx, room in enumerate(rooms): cells = room['cells'] number = room.get('number', None) cells_str = ', '.join(f'({r},{c})' for r, c in cells) problem_desc += f"- 房间{idx+1}包含单元格 {cells_str}" if number is not None: problem_desc += f",必须恰好有 {number} 个黑格" problem_desc += "。\n" problem_desc += "\n将答案以二维数组(0为白格,1为黑格)放在[answer]标签内,例如:\n[answer]\n[[0, 0, 0],\n[0, 1, 0],\n[0, 0, 0]]\n[/answer]" return problem_desc @staticmethod def extract_output(output): pattern = r'\[answer\](.*?)\[/answer\]' matches = re.findall(pattern, output, re.DOTALL) if not matches: return None last_match = matches[-1].strip() try: solution = eval(last_match) if isinstance(solution, list) and all(isinstance(row, list) for row in solution): return solution return None except: return None @classmethod def _verify_correction(cls, solution, identity): # 验证solution结构合法性 rows = identity['rows'] cols = identity['cols'] rooms = identity['rooms'] if (not isinstance(solution, list) or len(solution) != rows or any(not isinstance(row, list) or len(row) != cols for row in solution)): return False for row in solution: for cell in row: if cell not in (0, 1): return False # 规则1:黑格不能相邻 for i in range(rows): for j in range(cols): if solution[i][j] == 1: if j+1 < cols and solution[i][j+1] == 1: return False if i+1 < rows and solution[i+1][j] == 1: return False # 规则2:房间约束 for room in rooms: cells = room['cells'] if 'number' in room: required = room['number'] actual = sum(solution[i][j] for (i, j) in cells) if actual != required: return False # 规则3:白格连通性 white = [(i, j) for i in range(rows) for j in range(cols) if solution[i][j] == 0] if not white: return False visited = set() queue = deque([white[0]]) visited.add(white[0]) directions = [(-1,0), (1,0), (0,-1), (0,1)] while queue: i, j = queue.popleft() for dx, dy in directions: ni, nj = i+dx, j+dy if 0 <= ni < rows and 0 <= nj < cols and solution[ni][nj] == 0: if (ni, nj) not in visited: visited.add((ni, nj)) queue.append((ni, nj)) if len(visited) != len(white): return False # 规则4:条纹防止规则 # 构建房间映射 room_id = [[-1 for _ in range(cols)] for _ in range(rows)] for idx, room in enumerate(rooms): for i, j in room['cells']: room_id[i][j] = idx # 检查行 for i in range(rows): current_rooms = [] for j in range(cols): if solution[i][j] == 1: if len(current_rooms) >= 3: return False current_rooms = [] else: rid = room_id[i][j] if not current_rooms or rid != current_rooms[-1]: current_rooms.append(rid) if len(current_rooms) >= 3: return False if len(current_rooms) >= 3: return False # 检查列 for j in range(cols): current_rooms = [] for i in range(rows): if solution[i][j] == 1: if len(current_rooms) >= 3: return False current_rooms = [] else: rid = room_id[i][j] if not current_rooms or rid != current_rooms[-1]: current_rooms.append(rid) if len(current_rooms) >= 3: return False if len(current_rooms) >= 3: return False return True