python推箱子代码

Python编写推箱子（Puzzle Game, 如经典的 Sokoban）的代码通常涉及搜索算法（如A*、广度优先搜索或深度优先搜索）、游戏规则的理解以及数据结构的运用。下面是一个简单的基于命令行交互的Sokoban游戏示例：

import heapq

# 定义方块、玩家和目标位置
class Block:
    pass

class Player:
    def __init__(self, pos):
        self.pos = pos

class Goal:
    pass

# 游戏地图表示
def create_board(size):
    board = [[Block() for _ in range(size)] for _ in range(size)]
    # 初始化一些随机位置的方块
    for _ in range(4):
        x, y = random.randint(0, size-1), random.randint(0, size-1)
        if board[x][y] is not None:
            continue
        board[x][y] = Block()
    return board

# A*搜索算法简化版
def a_star_search(board, player, goal, heuristic_func):
    open_set = [(0, (player.pos,))]
    came_from = {}
    g_score = {player.pos: 0}
    f_score = {player.pos: heuristic_func(player.pos, goal)}

    while open_set:
        current_pos, path = heapq.heappop(open_set)
        if current_pos == goal:
            return path

        for neighbor in get_neighbors(board, current_pos):
            tentative_g_score = g_score[current_pos] + 1
            if neighbor not in g_score or tentative_g_score < g_score[neighbor]:
                g_score[neighbor] = tentative_g_score
                f_score[neighbor] = tentative_g_score + heuristic_func(neighbor, goal)
                came_from[neighbor] = current_pos
                heapq.heappush(open_set, (f_score[neighbor], (neighbor,)))

    return None

# 边缘判断和邻居获取函数
def get_neighbors(board, pos):
    x, y = pos
    neighbors = []
    directions = [(1, 0), (-1, 0), (0, 1), (0, -1)]
    for dx, dy in directions:
        new_x, new_y = x + dx, y + dy
        if 0 <= new_x < len(board) and 0 <= new_y < len(board[0]) and board[new_x][new_y] is None:
            neighbors.append((new_x, new_y))
    return neighbors

# 示例游戏主循环
def play_game():
    board = create_board(10)
    player = Player((5, 5))  # 玩家初始位置
    goal = Goal((9, 9))  # 目标位置
    path = a_star_search(board, player, goal, lambda p, g: manhattan_distance(p, g))  # 使用曼哈顿距离作为启发式函数

    if path:
        print("找到了路径：", path)
        move_player_to_path(board, player, path)
    else:
        print("无解，无法到达目标")

# ... 其他辅助函数比如移动玩家等 ...

在这个例子中，我们首先定义了游戏元素类，然后实现了A*搜索算法来寻找从起点到终点的最短路径。`play_game()`函数是游戏的核心，它创建了一个地图，设置好玩家和目标位置，然后调用搜索函数找到路径。

请注意这只是一个基础版本，实际的游戏可能会更复杂，包括图形用户界面、障碍物处理、游戏循环控制等功能。