
开篇寄语
伯衡君很喜欢玩迷宫游戏,英文是Maze,可以提高观察和推理能力,这次伯衡君为大家介绍一种用python就可以生成各种迷宫的方法,其实很简单,分享给大家。
内容详情
乞丐版
这种生成方式,只需要一行代码就可以解决,如下所示:
print(''.join(__import__('random').choice('\u2571\u2572')for i in range(40*40)))
在cmd里面,复制粘贴上面的代码就出现了。
豪华版
在pycharm新建一个项目,先制作一个定义生成迷宫的模块文件,命名为df_maze.py,代码如下:
import random
class Cell:
"""A cell in the maze.
A maze "Cell" is a point in the grid which may be surrounded by walls to
the north, east, south or west.
"""
# A wall separates a pair of cells in the N-S or W-E directions.
wall_pairs = {'N': 'S', 'S': 'N', 'E': 'W', 'W': 'E'}
def __init__(self, x, y):
"""Initialize the cell at (x,y). At first it is surrounded by walls."""
self.x, self.y = x, y
self.walls = {'N': True, 'S': True, 'E': True, 'W': True}
def has_all_walls(self):
"""Does this cell still have all its walls?"""
return all(self.walls.values())
def knock_down_wall(self, other, wall):
"""Knock down the wall between cells self and other."""
self.walls[wall] = False
other.walls[Cell.wall_pairs[wall]] = False
class Maze:
"""A Maze, represented as a grid of cells."""
def __init__(self, nx, ny, ix=0, iy=0):
"""Initialize the maze grid.
The maze consists of nx x ny cells and will be constructed starting
at the cell indexed at (ix, iy).
"""
self.nx, self.ny = nx, ny
self.ix, self.iy = ix, iy
self.maze_map = [[Cell(x, y) for y in range(ny)] for x in range(nx)]
def cell_at(self, x, y):
"""Return the Cell object at (x,y)."""
return self.maze_map[x][y]
def __str__(self):
"""Return a (crude) string representation of the maze."""
maze_rows = ['-' * self.nx * 2]
for y in range(self.ny):
maze_row = ['|']
for x in range(self.nx):
if self.maze_map[x][y].walls['E']:
maze_row.append(' |')
else:
maze_row.append(' ')
maze_rows.append(''.join(maze_row))
maze_row = ['|']
for x in range(self.nx):
if self.maze_map[x][y].walls['S']:
maze_row.append('-+')
else:
maze_row.append(' +')
maze_rows.append(''.join(maze_row))
return '\n'.join(maze_rows)
def write_svg(self, filename):
"""Write an SVG image of the maze to filename."""
aspect_ratio = self.nx / self.ny
# Pad the maze all around by this amount.
padding = 10
# Height and width of the maze image (excluding padding), in pixels
height = 500
width = int(height * aspect_ratio)
# Scaling factors mapping maze coordinates to image coordinates
scy, scx = height / self.ny, width / self.nx
def write_wall(ww_f, ww_x1, ww_y1, ww_x2, ww_y2):
"""Write a single wall to the SVG image file handle f."""
print('<line x1="{}" y1="{}" x2="{}" y2="{}"/>'
.format(ww_x1, ww_y1, ww_x2, ww_y2), file=ww_f)
# Write the SVG image file for maze
with open(filename, 'w') as f:
# SVG preamble and styles.
print('<?xml version="1.0" encoding="utf-8"?>', file=f)
print('<svg xmlns="http://www.w3.org/2000/svg"', file=f)
print(' xmlns:xlink="http://www.w3.org/1999/xlink"', file=f)
print(' width="{:d}" height="{:d}" viewBox="{} {} {} {}">'
.format(width + 2 * padding, height + 2 * padding,
-padding, -padding, width + 2 * padding, height + 2 * padding),
file=f)
print('<defs>\n<style type="text/css"><![CDATA[', file=f)
print('line {', file=f)
print(' stroke: #000000;\n stroke-linecap: square;', file=f)
print(' stroke-width: 5;\n}', file=f)
print(']]></style>\n</defs>', file=f)
# Draw the "South" and "East" walls of each cell, if present (these
# are the "North" and "West" walls of a neighbouring cell in
# general, of course).
for x in range(self.nx):
for y in range(self.ny):
if self.cell_at(x, y).walls['S']:
x1, y1, x2, y2 = x * scx, (y + 1) * scy, (x + 1) * scx, (y + 1) * scy
write_wall(f, x1, y1, x2, y2)
if self.cell_at(x, y).walls['E']:
x1, y1, x2, y2 = (x + 1) * scx, y * scy, (x + 1) * scx, (y + 1) * scy
write_wall(f, x1, y1, x2, y2)
# Draw the North and West maze border, which won't have been drawn
# by the procedure above.
print('<line x1="0" y1="0" x2="{}" y2="0"/>'.format(width), file=f)
print('<line x1="0" y1="0" x2="0" y2="{}"/>'.format(height), file=f)
print('</svg>', file=f)
def find_valid_neighbours(self, cell):
"""Return a list of unvisited neighbours to cell."""
delta = [('W', (-1, 0)),
('E', (1, 0)),
('S', (0, 1)),
('N', (0, -1))]
neighbours = []
for direction, (dx, dy) in delta:
x2, y2 = cell.x + dx, cell.y + dy
if (0 <= x2 < self.nx) and (0 <= y2 < self.ny):
neighbour = self.cell_at(x2, y2)
if neighbour.has_all_walls():
neighbours.append((direction, neighbour))
return neighbours
def make_maze(self):
# Total number of cells.
n = self.nx * self.ny
cell_stack = []
current_cell = self.cell_at(self.ix, self.iy)
# Total number of visited cells during maze construction.
nv = 1
while nv < n:
neighbours = self.find_valid_neighbours(current_cell)
if not neighbours:
# We've reached a dead end: backtrack.
current_cell = cell_stack.pop()
continue
# Choose a random neighbouring cell and move to it.
direction, next_cell = random.choice(neighbours)
current_cell.knock_down_wall(next_cell, direction)
cell_stack.append(current_cell)
current_cell = next_cell
nv += 1
然后呢,在main.py中,输入下面的代码:
from df_maze import Maze
# Maze dimensions (ncols, nrows)
nx, ny = 40, 40 #可以改成任意数字
# Maze entry position
ix, iy = 0, 0
maze = Maze(nx, ny, ix, iy)
maze.make_maze()
print(maze)
maze.write_svg('maze.svg')
之后点击运行,就可以生成一个名为maze.svg的图片文件,如下图所示。

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