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binary_tree.py
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"""
Maze generation using the binary tree algorithm
MIT License
Copyright (c) 2017 Gaurav Mathur
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
from cell import Cell
from grid import Grid
import random
class BinaryTreeMaze:
"""
Algorithm to implements a 'perfect' maze. It has two major biases:
a. There is always a 'diagonal' path from the South-west starting point
to the North-east end
b. The north-most row and the East-mode columns are always an unbroken
corridor
"""
def __init__(self):
pass
@staticmethod
def create(grid):
for cell in grid.each_cell():
neighbors = []
if cell.cellNorth is not None:
neighbors.append(cell.cellNorth)
if cell.cellEast is not None:
neighbors.append(cell.cellEast)
if len(neighbors):
index = random.randint(0, len(neighbors)-1)
neighbor = neighbors[index]
cell.link(neighbor)
if __name__ == "__main__":
nRows = input("Enter number of rows: ")
nColumns = input("Enter number of columns: ")
g = Grid(nRows, nColumns)
BinaryTreeMaze.create(g)
print g