Python深度优先算法生成迷宫

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本文实例为大家分享了Python深度优先算法生成迷宫，供大家参考，具体内容如下

import random #warning: x and y confusing sx = 10 sy = 10 dfs = [[0 for col in range(sx)] for row in range(sy)] maze = [[' ' for col in range(2*sx+1)] for row in range(2*sy+1)] #1:up 2:down 3:left 4:right operation = {1:(0,-1),2:(0,1),3:(-1,0),4:(1,0)} direction = [1, 2, 3, 4] stack = [] for i in range(2*sx+1): if i%2 == 0: for j in range(2*sx+1): maze[i][j] = '#' for i in range(2*sy+1): if i%2 == 0: for j in range(2*sy+1): maze[j][i] = '#' def show(graph): for i in graph: for j in i: print j, print def showRouter(stack): RGragh = [[0 for col in range(sx)] for row in range(sy)] for (x, y) in stack: RGragh[y][x] = 1 show(RGragh) print def generateMaze(start): x, y = start dfs[y][x] = 1 random.shuffle(direction) for d in direction: px, py = (x + y for x, y in zip(start, operation[d])) if px = sx or py = sy: pass else: if dfs[py][px] is not 1: mx = 2*x + 1 my = 2*y + 1 if d == 1: maze[my-1][mx] = ' ' elif d == 2: maze[my+1][mx] = ' ' elif d == 3: maze[my][mx-1] = ' ' elif d == 4: maze[my][mx+1] = ' ' generateMaze((px,py)) generateMaze((0,0)) show(dfs) show(maze)

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