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Python深度优先算法生成迷宫

时间:2021-01-07 00:21     来源/作者:crystal_tyan

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

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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 < 0 or px >= sx or py < 0 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)

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。

原文链接:http://blog.csdn.net/crystal_tyan/article/details/42523861

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