失眠网,内容丰富有趣,生活中的好帮手!
失眠网 > python迷宫小游戏大全_Python迷宫小游戏源代码 源程序

python迷宫小游戏大全_Python迷宫小游戏源代码 源程序

时间:2021-04-03 06:56:23

相关推荐

python迷宫小游戏大全_Python迷宫小游戏源代码 源程序

Python迷宫小游戏源程序包括两个文件maze.py和mazeGenerator.py,mazeGenerator.py实现迷宫地图的生成,程序运行截图:

mazeGenerator.py

import numpy as npimport randomimport copyclass UnionSet(object): """ 并查集实现,构造函数中的matrix是一个numpy类型 """ def __init__(self, arr): self.parent = {pos: pos for pos in arr} self.count = len(arr) def find(self, root): if root == self.parent[root]: return root return self.find(self.parent[root]) def union(self, root1, root2): self.parent[self.find(root1)] = self.find(root2)class Maze(object): """ 迷宫生成类 """ def __init__(self, width=11, height=11): assert width >= 5 and height >= 5, "Length of width or height must be larger than 5." self.width = (width // 2) * 2 + 1 self.height = (height // 2) * 2 + 1 self.start = [1, 0] self.destination = [self.height - 2, self.width - 1] self.matrix = None self.path = [] def print_matrix(self): matrix = copy.deepcopy(self.matrix) for p in self.path: matrix[p[0]][p[1]] = 1 for i in range(self.height): for j in range(self.width):if matrix[i][j] == -1:print('□', end='')elif matrix[i][j] == 0:print(' ', end='')elif matrix[i][j] == 1:print('■', end='') print('') def generate_matrix_dfs(self): # 地图初始化,并将出口和入口处的值设置为0 self.matrix = -np.ones((self.height, self.width)) self.matrix[self.start[0], self.start[1]] = 0 self.matrix[self.destination[0], self.destination[1]] = 0 visit_flag = [[0 for i in range(self.width)] for j in range(self.height)] def check(row, col, row_, col_): temp_sum = 0 for d in [[0, 1], [0, -1], [1, 0], [-1, 0]]:temp_sum += self.matrix[row_ + d[0]][col_ + d[1]] return temp_sum <= -3 def dfs(row, col): visit_flag[row][col] = 1 self.matrix[row][col] = 0 if row == self.start[0] and col == self.start[1] + 1:return directions = [[0, 2], [0, -2], [2, 0], [-2, 0]] random.shuffle(directions) for d in directions:row_, col_ = row + d[0], col + d[1]if row_ > 0 and row_ < self.height - 1 and col_ > 0 and col_ < self.width - 1 and visit_flag[row_][col_] == 0 and check(row, col, row_, col_):if row == row_: visit_flag[row][min(col, col_) + 1] = 1 self.matrix[row][min(col, col_) + 1] = 0else: visit_flag[min(row, row_) + 1][col] = 1 self.matrix[min(row, row_) + 1][col] = 0dfs(row_, col_) dfs(self.destination[0], self.destination[1] - 1) self.matrix[self.start[0], self.start[1] + 1] = 0 # 虽然说是prim算法,但是我感觉更像随机广度优先算法 def generate_matrix_prim(self): # 地图初始化,并将出口和入口处的值设置为0 self.matrix = -np.ones((self.height, self.width)) def check(row, col): temp_sum = 0 for d in [[0, 1], [0, -1], [1, 0], [-1, 0]]:temp_sum += self.matrix[row + d[0]][col + d[1]] return temp_sum < -3 queue = [] row, col = (np.random.randint(1, self.height - 1) // 2) * 2 + 1, (np.random.randint(1, self.width - 1) // 2) * 2 + 1 queue.append((row, col, -1, -1)) while len(queue) != 0: row, col, r_, c_ = queue.pop(np.random.randint(0, len(queue))) if check(row, col):self.matrix[row, col] = 0if r_ != -1 and row == r_:self.matrix[row][min(col, c_) + 1] = 0elif r_ != -1 and col == c_:self.matrix[min(row, r_) + 1][col] = 0for d in [[0, 2], [0, -2], [2, 0], [-2, 0]]:row_, col_ = row + d[0], col + d[1]if row_ > 0 and row_ < self.height - 1 and col_ > 0 and col_ < self.width - 1 and self.matrix[row_][ col_] == -1: queue.append((row_, col_, row, col)) self.matrix[self.start[0], self.start[1]] = 0 self.matrix[self.destination[0], self.destination[1]] = 0 # 递归切分算法,还有问题,现在不可用 def generate_matrix_split(self): # 地图初始化,并将出口和入口处的值设置为0 self.matrix = -np.zeros((self.height, self.width)) self.matrix[0, :] = -1 self.matrix[self.height - 1, :] = -1 self.matrix[:, 0] = -1 self.matrix[:, self.width - 1] = -1 # 随机生成位于(start, end)之间的偶数 def get_random(start, end): rand = np.random.randint(start, end) if rand & 0x1 == 0:return rand return get_random(start, end) # split函数的四个参数分别是左上角的行数、列数,右下角的行数、列数,墙壁只能在偶数行,偶数列 def split(lr, lc, rr, rc): if rr - lr < 2 or rc - lc < 2:return # 生成墙壁,墙壁只能是偶数点 cur_row, cur_col = get_random(lr, rr), get_random(lc, rc) for i in range(lc, rc + 1):self.matrix[cur_row][i] = -1 for i in range(lr, rr + 1):self.matrix[i][cur_col] = -1 # 挖穿三面墙得到连通图,挖孔的点只能是偶数点 wall_list = [("left", cur_row, [lc + 1, cur_col - 1]),("right", cur_row, [cur_col + 1, rc - 1]),("top", cur_col, [lr + 1, cur_row - 1]),("down", cur_col, [cur_row + 1, rr - 1]) ] random.shuffle(wall_list) for wall in wall_list[:-1]:if wall[2][1] - wall[2][0] < 1:continueif wall[0] in ["left", "right"]:self.matrix[wall[1], get_random(wall[2][0], wall[2][1] + 1) + 1] = 0else:self.matrix[get_random(wall[2][0], wall[2][1] + 1), wall[1] + 1] = 0 # self.print_matrix() # time.sleep(1) # 递归 split(lr + 2, lc + 2, cur_row - 2, cur_col - 2) split(lr + 2, cur_col + 2, cur_row - 2, rc - 2) split(cur_row + 2, lc + 2, rr - 2, cur_col - 2) split(cur_row + 2, cur_col + 2, rr - 2, rc - 2) self.matrix[self.start[0], self.start[1]] = 0 self.matrix[self.destination[0], self.destination[1]] = 0 split(0, 0, self.height - 1, self.width - 1) # 最小生成树算法-kruskal(选边法)思想生成迷宫地图,这种实现方法最复杂。 def generate_matrix_kruskal(self): # 地图初始化,并将出口和入口处的值设置为0 self.matrix = -np.ones((self.height, self.width)) def check(row, col): ans, counter = [], 0 for d in [[0, 1], [0, -1], [1, 0], [-1, 0]]:row_, col_ = row + d[0], col + d[1]if row_ > 0 and row_ < self.height - 1 and col_ > 0 and col_ < self.width - 1 and self.matrix[row_, col_] == -1:ans.append([d[0] * 2, d[1] * 2])counter += 1 if counter <= 1:return [] return ans nodes = set() row = 1 while row < self.height: col = 1 while col < self.width:self.matrix[row, col] = 0nodes.add((row, col))col += 2 row += 2 unionset = UnionSet(nodes) while unionset.count > 1: row, col = nodes.pop() directions = check(row, col) if len(directions):random.shuffle(directions)for d in directions:row_, col_ = row + d[0], col + d[1]if unionset.find((row, col)) == unionset.find((row_, col_)): continuenodes.add((row, col))unionset.count -= 1unionset.union((row, col), (row_, col_))if row == row_: self.matrix[row][min(col, col_) + 1] = 0else: self.matrix[min(row, row_) + 1][col] = 0break self.matrix[self.start[0], self.start[1]] = 0 self.matrix[self.destination[0], self.destination[1]] = 0 # 迷宫寻路算法dfs def find_path_dfs(self, destination): visited = [[0 for i in range(self.width)] for j in range(self.height)] def dfs(path): visited[path[-1][0]][path[-1][1]] = 1 if path[-1][0] == destination[0] and path[-1][1] == destination[1]:self.path = path[:]return for d in [[0, 1], [0, -1], [1, 0], [-1, 0]]:row_, col_ = path[-1][0] + d[0], path[-1][1] + d[1]if row_ > 0 and row_ < self.height - 1 and col_ > 0 and col_ < self.width and visited[row_][col_] == 0 and self.matrix[row_][col_] == 0:dfs(path + [[row_, col_]]) dfs([[self.start[0], self.start[1]]])if __name__ == '__main__': maze = Maze(51, 51) maze.generate_matrix_kruskal() maze.print_matrix() maze.find_path_dfs(maze.destination) print("answer", maze.path) maze.print_matrix()

maze.py

import tkinter as tkfrom Maze.mazeGenerator import Mazeimport copyimport mathdef draw_cell(canvas, row, col, color="#F2F2F2"): x0, y0 = col * cell_width, row * cell_width x1, y1 = x0 + cell_width, y0 + cell_width canvas.create_rectangle(x0, y0, x1, y1, fill=color, outline=color, width=0)def draw_path(canvas, matrix, row, col, color, line_color): # 列 if row + 1 < rows and matrix[row - 1][col] >= 1 and matrix[row + 1][col] >= 1: x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width x1, y1 = x0 + cell_width / 5, y0 + cell_width # 行 elif col + 1 < cols and matrix[row][col - 1] >= 1 and matrix[row][col + 1] >= 1: x0, y0 = col * cell_width, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + cell_width, y0 + cell_width / 5 # 左上角 elif col + 1 < cols and row + 1 < rows and matrix[row][col + 1] >= 1 and matrix[row + 1][col] >= 1: x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + 3 * cell_width / 5, y0 + cell_width / 5 canvas.create_rectangle(x0, y0, x1, y1, fill=color, outline=line_color, width=0) x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + cell_width / 5, y0 + 3 * cell_width / 5 # 右上角 elif row + 1 < rows and matrix[row][col - 1] >= 1 and matrix[row + 1][col] >= 1: x0, y0 = col * cell_width, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + 3 * cell_width / 5, y0 + cell_width / 5 canvas.create_rectangle(x0, y0, x1, y1, fill=color, outline=line_color, width=0) x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + cell_width / 5, y0 + 3 * cell_width / 5 # 左下角 elif col + 1 < cols and matrix[row - 1][col] >= 1 and matrix[row][col + 1] >= 1: x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width x1, y1 = x0 + cell_width / 5, y0 + 3 * cell_width / 5 canvas.create_rectangle(x0, y0, x1, y1, fill=color, outline=line_color, width=0) x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + 3 * cell_width / 5, y0 + cell_width / 5 # 右下角 elif matrix[row - 1][col] >= 1 and matrix[row][col - 1] >= 1: x0, y0 = col * cell_width, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + 3 * cell_width / 5, y0 + cell_width / 5 canvas.create_rectangle(x0, y0, x1, y1, fill=color, outline=line_color, width=0) x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width x1, y1 = x0 + cell_width / 5, y0 + 3 * cell_width / 5 else: x0, y0 = col * cell_width + 2 * cell_width / 5, row * cell_width + 2 * cell_width / 5 x1, y1 = x0 + cell_width / 5, y0 + cell_width / 5 canvas.create_rectangle(x0, y0, x1, y1, fill=color, outline=line_color, width=0)def draw_maze(canvas, matrix, path, moves): """ 根据matrix中每个位置的值绘图: -1: 墙壁 0: 空白 1: 参考路径 2: 移动过的位置 """ for r in range(rows): for c in range(cols): if matrix[r][c] == 0:draw_cell(canvas, r, c) elif matrix[r][c] == -1:draw_cell(canvas, r, c, '#525288') elif matrix[r][c] == 1:draw_cell(canvas, r, c)draw_path(canvas, matrix, r, c, '#bc84a8', '#bc84a8') elif matrix[r][c] == 2:draw_cell(canvas, r, c)draw_path(canvas, matrix, r, c, '#ee3f4d', '#ee3f4d') for p in path: matrix[p[0]][p[1]] = 1 for move in moves: matrix[move[0]][move[1]] = 2def update_maze(canvas, matrix, path, moves): canvas.delete("all") matrix = copy.copy(matrix) for p in path: matrix[p[0]][p[1]] = 1 for move in moves: matrix[move[0]][move[1]] = 2 row, col = movement_list[-1] colors = ['#525288', '#F2F2F2', '#525288', '#F2F2F2', '#525288', '#F2F2F2', '#525288', '#F2F2F2'] if level > 2: colors = ['#232323', '#252525', '#2a2a32', '#424242', '#434368', '#b4b4b4', '#525288', '#F2F2F2'] for r in range(rows): for c in range(cols): distance = (row - r) * (row - r) + (col - c) * (col - c) if distance >= 100:color = colors[0:2] elif distance >= 60:color = colors[2:4] elif distance >= 30:color = colors[4:6] else:color = colors[6:8] if matrix[r][c] == 0:draw_cell(canvas, r, c, color[1]) elif matrix[r][c] == -1:draw_cell(canvas, r, c, color[0]) elif matrix[r][c] == 1:draw_cell(canvas, r, c, color[1])draw_path(canvas, matrix, r, c, '#bc84a8', '#bc84a8') elif matrix[r][c] == 2:draw_cell(canvas, r, c, color[1])draw_path(canvas, matrix, r, c, '#ee3f4d', '#ee3f4d')def check_reach(): global next_maze_flag if movement_list[-1] == maze.destination: print("Congratulations! You reach the goal! The step used: {}".format(click_counter)) x0, y0 = width / 2 - 200, 30 x1, y1 = x0 + 400, y0 + 40 canvas.create_rectangle(x0, y0, x1, y1, fill='#F2F2F2', outline='#525288', width=3) canvas.create_text(width / 2, y0 + 20, text="Congratulations! You reach the goal! Steps used: {}".format(click_counter), fill="#525288") next_maze_flag = Truedef _eventHandler(event): global movement_list global click_counter global next_maze_flag global level if not next_maze_flag and event.keysym in ['Left', 'Right', 'Up', 'Down']: click_counter += 1 windows.title("Maze Level-{} Steps-{}".format(level, click_counter)) cur_pos = movement_list[-1] ops = {'Left': [0, -1], 'Right': [0, 1], 'Up': [-1, 0], 'Down': [1, 0]} r_, c_ = cur_pos[0] + ops[event.keysym][0], cur_pos[1] + ops[event.keysym][1] if len(movement_list) > 1 and [r_, c_] == movement_list[-2]: movement_list.pop() while True:cur_pos = movement_list[-1]counter = 0for d in [[0, 1], [0, -1], [1, 0], [-1, 0]]:r_, c_ = cur_pos[0] + d[0], cur_pos[1] + d[1]if c_ >= 0 and maze.matrix[r_][c_] == 0: counter += 1if counter != 2:breakmovement_list.pop() elif r_ < maze.height and c_ < maze.width and maze.matrix[r_][c_] == 0: while True:movement_list.append([r_, c_])temp_list = []for d in [[0, 1], [0, -1], [1, 0], [-1, 0]]:r__, c__ = r_ + d[0], c_ + d[1]if c__ < maze.width and maze.matrix[r__][c__] == 0 and [r__, c__] != cur_pos: temp_list.append([r__, c__])if len(temp_list) != 1:breakcur_pos = [r_, c_]r_, c_ = temp_list[0] update_maze(canvas, maze.matrix, maze.path, movement_list) check_reach() elif next_maze_flag: next_maze_flag = False movement_list = [maze.start] click_counter = 0 maze.generate_matrix_kruskal() maze.path = [] draw_maze(canvas, maze.matrix, maze.path, movement_list) level += 1def _paint(event): x, y = math.floor((event.y - 1) / cell_width), math.floor((event.x - 1) / cell_width) if maze.matrix[x][y] == 0: maze.find_path_dfs([x, y]) update_maze(canvas, maze.matrix, maze.path, movement_list)def _reset(event): maze.path = [] update_maze(canvas, maze.matrix, maze.path, movement_list)if __name__ == '__main__': # 基础参数 cell_width = 20 rows = 30 cols = 44 height = cell_width * rows width = cell_width * cols level = 1 click_counter = 0 next_maze_flag = False windows = tk.Tk() windows.title("迷宫小游戏") canvas = tk.Canvas(windows, background="#F2F2F2", width=width, height=height) canvas.pack() maze = Maze(cols, rows) movement_list = [maze.start] maze.generate_matrix_kruskal() draw_maze(canvas, maze.matrix, maze.path, movement_list) canvas.bind("", _paint) canvas.bind("", _reset) canvas.bind_all("", _eventHandler) windows.mainloop()

程序运行过程中遇到问题请在文末留言。

如果觉得《python迷宫小游戏大全_Python迷宫小游戏源代码 源程序》对你有帮助,请点赞、收藏,并留下你的观点哦!

本内容不代表本网观点和政治立场,如有侵犯你的权益请联系我们处理。
网友评论
网友评论仅供其表达个人看法,并不表明网站立场。