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https://github.com/maoakeEnterprise/amazing.git
synced 2026-04-28 16:04:35 +02:00
finish the imperfect maze
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+3
-7
@@ -7,14 +7,10 @@ import src.amaz_lib as g
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def main(maze_gen: MazeGenerator) -> None:
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# try:
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maze = Maze(maze=None)
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solver = g.DepthFirstSearchSolver((1, 1), (8, 5))
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for alg in maze_gen.generator(15, 15):
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for alg in maze_gen.generator(5, 2):
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maze.set_maze(alg)
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os.system("clear")
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os.system("clear")
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maze.ascii_print()
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print(solver.solve(maze, 15, 15))
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# solver = AStar((1, 1), (14, 18))
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# print(solver.solve(maze))
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# except Exception as err:
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@@ -22,4 +18,4 @@ def main(maze_gen: MazeGenerator) -> None:
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if __name__ == "__main__":
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main(g.DepthFirstSearch((1, 1), (8, 5)))
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main(g.DepthFirstSearch((1, 1), (1, 1), False))
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@@ -42,24 +42,54 @@ class MazeGenerator(ABC):
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@staticmethod
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def unperfect_maze(width: int, height: int,
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maze: np.ndarray, forty_two: set
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maze: np.ndarray, forty_two: set | None,
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prob: float = 0.1
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) -> Generator[np.ndarray, None, np.ndarray]:
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broken_set = DepthFirstSearch.gen_broken_set(width, height)
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final_set = broken_set.difference(forty_two)
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for coord in broken_set:
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yield maze
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return broken_set
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directions = {
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"N": (0, -1),
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"S": (0, 1),
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"W": (-1, 0),
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"E": (1, 0)
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}
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@staticmethod
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def gen_broken_set(width: int, height: int) -> set:
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maxi = int(width * height * 0.1)
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points = set()
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while len(points) < maxi:
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points.add(
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(np.random.randint(low=1, high=(width - 1)),
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np.random.randint(low=1, high=(height - 1)))
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)
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return points
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reverse = {
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"N": "S",
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"S": "N",
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"W": "E",
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"E": "W"
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}
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min_break = 3
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while True:
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count = 0
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for y in range(height):
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for x in range(width):
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if forty_two and (x, y) in forty_two:
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continue
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for direc, (dx, dy) in directions.items():
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nx, ny = x + dx, y + dy
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if forty_two and (
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(y, x) in forty_two
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or (ny, nx) in forty_two
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):
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continue
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if not (0 <= nx < width and 0 < ny < height):
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continue
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if direc in ["S", "E"]:
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continue
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if np.random.random() < prob:
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count += 1
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cell = maze[y][x]
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cell_n = maze[ny][nx]
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cell = DepthFirstSearch.broken_wall(cell, direc)
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cell_n = DepthFirstSearch.broken_wall(cell_n,
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reverse[
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direc])
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maze[y][x] = cell
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maze[ny][nx] = cell_n
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yield maze
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if count > min_break:
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break
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return maze
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class Kruskal(MazeGenerator):
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@@ -160,6 +190,7 @@ class DepthFirstSearch(MazeGenerator):
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self.start = start
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self.end = end
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self.perfect = perfect
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self.forty_two: set | None = None
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def generator(
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self, height: int, width: int, seed: int = None
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@@ -167,10 +198,15 @@ class DepthFirstSearch(MazeGenerator):
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if seed is not None:
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np.random.seed(seed)
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maze = self.init_maze(width, height)
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forty_two = self.get_cell_ft(width, height)
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if width > 9 and height > 9:
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self.forty_two = self.get_cell_ft(width, height)
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visited = np.zeros((height, width), dtype=bool)
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if self.start not in forty_two and self.end not in forty_two:
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visited = self.lock_cell_ft(visited, forty_two)
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if (
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self.forty_two
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and self.start not in self.forty_two
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and self.end not in self.forty_two
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):
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visited = self.lock_cell_ft(visited, self.forty_two)
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path = list()
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w_h = (width, height)
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coord = (0, 0)
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@@ -201,6 +237,12 @@ class DepthFirstSearch(MazeGenerator):
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x, y = coord
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maze[y][x] = self.broken_wall(maze[y][x], wall_r)
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yield maze
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if self.perfect is False:
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gen = DepthFirstSearch.unperfect_maze(width, height, maze,
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self.forty_two)
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for res in gen:
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maze = res
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yield maze
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return maze
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@staticmethod
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