maze.py

'''
Copyright (c) 2016 Brendan Maginnis

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.

Maze generator directly borrowed from
https://github.com/brendanator/predictron/blob/master/predictron/maze.py
'''

import random

import numpy as np

from util import Colour


class MazeGenerator():
  def __init__(self, height=20, width=None, density=0.3):
    if not width:
      width = height

    self.height = height
    self.width = width
    self.len = height * width

    # Create the right number of walls to be shuffled for each new maze
    non_corner_size = height * width - 2
    population_count = int(non_corner_size * density)
    empty_squares = non_corner_size - population_count
    self.walls = ['1'] * population_count + ['0'] * empty_squares

    # Starting point is the bottom right corner
    self.bottom_right_corner = int('0' * (self.len - 1) + '1', base=2)

    # Edges for use in flood search
    self.not_left_edge, self.not_right_edge, \
    self.not_top_edge, self.not_bottom_edge = self._edges()

  def _edges(self):
    full_columns = '1' * (self.width - 1)
    not_left = int(('0' + full_columns) * self.height, base=2)
    not_right = int((full_columns + '0') * self.height, base=2)

    empty_row = '0' * self.width
    full_row = '1' * self.width
    full_rows = full_row * (self.height - 1)
    not_top = int(empty_row + full_rows, base=2)
    not_bottom = int(full_rows + empty_row, base=2)

    return not_left, not_right, not_top, not_bottom

  def maze_to_binary(self, maze):
    binary = bin(maze)[2:]
    return '0' * (self.len - len(binary)) + binary

  def print_maze(self, maze, labels):
    rows = []
    for i in range(self.height):
      row = maze[i]
      row = ''.join([str(row[i][0]) for i in range(self.width)])
      row = row.replace('0', '.').replace('1', '#')
      row = row[:i] + Colour.highlight(row[i], labels[i]) + row[i + 1:]
      rows.append(row)

    print('\n'.join(rows))

  def generate(self):
    random.shuffle(self.walls)
    return int('0' + ''.join(self.walls) + '0', base=2)

  def connected_squares(self, maze, start=None):
    """Find squares connected to the end square in the maze
    Uses a fast bitwise flood fill algorithm
    """

    empty_squares = ~maze
    current = None
    next = start or self.bottom_right_corner

    while current != next:
      current = next

      left = current << 1 & self.not_right_edge
      right = current >> 1 & self.not_left_edge
      up = current << self.width & self.not_bottom_edge
      down = current >> self.width & self.not_top_edge

      next = (current | left | right | up | down) & empty_squares

    return current

  def connected_diagonals(self, maze):
    assert self.height == self.width
    connected = self.maze_to_binary(self.connected_squares(maze))
    return [int(connected[(self.height + 1) * i]) for i in range(self.height)]

  def generate_labelled_mazes(self, batch_size):
    mazes = []
    labels = []
    for _ in range(batch_size):
      maze = self.generate()
      connected_diagonals = self.connected_diagonals(maze)
      mazes.append(self.maze_to_input(maze))
      labels.append(connected_diagonals)

    mazes = np.array(mazes).astype(np.float32)
    labels = np.array(labels).astype(np.float32)
    return mazes, labels

  def generate_mazes(self, batch_size):
    return [self.maze_to_input(self.generate()) for _ in range(batch_size)]

  def maze_to_input(self, maze):
    maze = self.maze_to_binary(maze)
    maze = [[[int(maze[i + j])] for j in range(self.width)]
            for i in range(0, self.height * self.width, self.width)]
    return maze