InternBootcamp/internbootcamp/bootcamp/hitori/hitori.py

"""### 谜题描述

Hitori is a logic puzzle played on a square grid where each cell contains a number. The objective is to shade (blacken) cells according to the following rules:

1. **No Duplicates in Rows/Columns**: 
   After shading, all *unshaded* numbers in every row and column must be unique. This means duplicates in the original grid must be resolved by shading some occurrences, ensuring no repeats in the final unshaded cells.

2. **Shaded Cells Cannot Be Adjacent**:
   No two shaded cells may be directly adjacent to each other horizontally or vertically (diagonally is allowed).

3. **Unshaded Cells Must Be Connected**:
   All unshaded cells must form a single continuous region connected orthogonally (horizontally or vertically). Unshaded cells cannot be isolated from the rest by shaded cells.

To solve the puzzle, shade cells strategically to eliminate duplicate numbers while adhering to adjacency and connectivity constraints.


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 random
import re
import ast

class Hitoribootcamp(Basebootcamp):
    def __init__(self, size=5, number_range=None):
        super().__init__()
        self.size = size
        self.number_range = number_range if number_range else (1, size)
    
    def case_generator(self):
        size = self.size
        grid = self._generate_latin_square(size)
        shaded_cells = self._generate_valid_shaded_cells(size)
        
        for i, j in shaded_cells:
            unshaded_row = [(i, c) for c in range(size) if (i, c) not in shaded_cells and c != j]
            unshaded_col = [(r, j) for r in range(size) if (r, j) not in shaded_cells and r != i]
            if unshaded_row:
                sample_cell = random.choice(unshaded_row)
                grid[i][j] = grid[sample_cell[0]][sample_cell[1]]
            elif unshaded_col:
                sample_cell = random.choice(unshaded_col)
                grid[i][j] = grid[sample_cell[0]][sample_cell[1]]
        
        return {"grid": grid}
    
    def _generate_valid_shaded_cells(self, size):
        shaded = set()
        candidates = [(i, j) for i in range(size) for j in range(size)]
        random.shuffle(candidates)
        
        for cell in candidates:
            i, j = cell
            adjacent = any((i + di, j + dj) in shaded for di, dj in [(-1,0), (1,0), (0,-1), (0,1)] if 0 <= i + di < size and 0 <= j + dj < size)
            if adjacent:
                continue
            shaded.add(cell)
            if not self._is_connected(size, shaded):
                shaded.remove(cell)
        return shaded
    
    def _is_connected(self, size, shaded):
        unshaded = [(i, j) for i in range(size) for j in range(size) if (i, j) not in shaded]
        if not unshaded:
            return False
        visited = set()
        queue = [unshaded[0]]
        while queue:
            cell = queue.pop(0)
            if cell in visited:
                continue
            visited.add(cell)
            i, j = cell
            for di, dj in [(-1,0), (1,0), (0,-1), (0,1)]:
                ni, nj = i + di, j + dj
                if 0 <= ni < size and 0 <= nj < size and (ni, nj) not in shaded and (ni, nj) not in visited:
                    queue.append((ni, nj))
        return len(visited) == len(unshaded)
    
    @staticmethod
    def _generate_latin_square(size):
        return [[(i + j) % size + 1 for j in range(size)] for i in range(size)]
    
    @staticmethod
    def prompt_func(question_case):
        grid = question_case["grid"]
        grid_str = "\n".join([" ".join(map(str, row)) for row in grid])
        return f"""你是一名Hitori谜题专家，请根据以下规则解决谜题：

规则：
1. 每行每列未涂黑数字必须唯一。
2. 涂黑单元格不能相邻（上下左右）。
3. 所有未涂黑单元格必须连通。

题目网格：
{grid_str}

请将答案的单元格坐标列表（从0开始）放在[answer]和[/answer]之间，例如：[answer][(0,1), (2,3)][/answer]"""
    
    @staticmethod
    def extract_output(output):
        matches = re.findall(r'\[answer\](.*?)\[/answer\]', output, re.DOTALL)
        if not matches:
            return None
        try:
            result = ast.literal_eval(matches[-1].strip())
            if isinstance(result, list) and all(isinstance(cell, tuple) and len(cell) == 2 for cell in result):
                return result
        except:
            pass
        return None
    
    @classmethod
    def _verify_correction(cls, solution, identity):
        if not isinstance(solution, list):
            return False
        grid = identity["grid"]
        size = len(grid)
        shaded = set(solution)
        
        if len(shaded) != len(solution):
            return False
        
        for i, j in shaded:
            if not (0 <= i < size and 0 <= j < size):
                return False
            for di, dj in [(-1,0), (1,0), (0,-1), (0,1)]:
                if (i + di, j + dj) in shaded:
                    return False
        
        unshaded = [(i, j) for i in range(size) for j in range(size) if (i, j) not in shaded]
        for i in range(size):
            row = [grid[r][c] for r, c in unshaded if r == i]
            if len(row) != len(set(row)):
                return False
            col = [grid[r][c] for r, c in unshaded if c == i]
            if len(col) != len(set(col)):
                return False
        
        if not unshaded:
            return False
        visited = set()
        queue = [unshaded[0]]
        while queue:
            cell = queue.pop(0)
            if cell in visited:
                continue
            visited.add(cell)
            i, j = cell
            for di, dj in [(-1,0), (1,0), (0,-1), (0,1)]:
                ni, nj = i + di, j + dj
                if (ni, nj) in unshaded and (ni, nj) not in visited:
                    queue.append((ni, nj))
        return len(visited) == len(unshaded)