finish to print the 42

a_maze_ing.py

@@ -7,10 +7,10 @@ import src.amaz_lib as g
 def main(maze_gen: MazeGenerator) -> None:
     # try:
     maze = Maze(maze=None)
-    for alg in maze_gen.generator(30, 10):
+    for alg in maze_gen.generator(10, 10):
         maze.set_maze(alg)
         os.system("clear")
-        maze.ascii_print()
+    maze.ascii_print()
     # solver = AStar((1, 1), (14, 18))
     # print(solver.solve(maze))
 

src/amaz_lib/MazeGenerator.py

@@ -8,9 +8,33 @@ import math
 class MazeGenerator(ABC):
     @abstractmethod
     def generator(
-        self, height: int, width: int
+        self, height: int, width: int, seed: int = None
     ) -> Generator[np.ndarray, None, np.ndarray]: ...
 
+    @staticmethod
+    def get_cell_ft(width: int, height: int) -> set:
+        forty_two = set()
+        y, x = (int(height / 2), int(width / 2))
+        forty_two.add((y, x - 1))
+        forty_two.add((y, x - 2))
+        forty_two.add((y, x - 3))
+        forty_two.add((y - 1, x - 3))
+        forty_two.add((y - 2, x - 3))
+        forty_two.add((y + 1, x - 1))
+        forty_two.add((y + 2, x - 1))
+        forty_two.add((y, x + 1))
+        forty_two.add((y, x + 2))
+        forty_two.add((y, x + 3))
+        forty_two.add((y - 1, x + 3))
+        forty_two.add((y - 2, x + 3))
+        forty_two.add((y - 2, x + 2))
+        forty_two.add((y - 2, x + 1))
+        forty_two.add((y + 1, x + 1))
+        forty_two.add((y + 2, x + 1))
+        forty_two.add((y + 2, x + 2))
+        forty_two.add((y + 2, x + 3))
+        return forty_two
+
 
 class Kruskal(MazeGenerator):
     class Set:
@@ -77,8 +101,10 @@ class Kruskal(MazeGenerator):
         raise Exception("two sets not found")
 
     def generator(
-        self, height: int, width: int
+        self, height: int, width: int, seed: int = None
     ) -> Generator[np.ndarray, None, np.ndarray]:
+        if seed is not None:
+            np.random.seed(seed)
         sets = self.Sets([self.Set([i]) for i in range(height * width)])
         walls = []
         for h in range(height):
@@ -106,37 +132,43 @@ class Kruskal(MazeGenerator):
 class DepthFirstSearch(MazeGenerator):
 
     def generator(
-        self, height: int, width: int
+        self, height: int, width: int, seed: int = None
     ) -> Generator[np.ndarray, None, np.ndarray]:
-        maze = DepthFirstSearch.init_maze(width, height)
+        if seed is not None:
+            np.random.seed(seed)
+        maze = self.init_maze(width, height)
+        forty_two = self.get_cell_ft(width, height)
         visited = np.zeros((height, width), dtype=bool)
+        visited = self.lock_cell_ft(visited, forty_two)
         path = list()
         w_h = (width, height)
         coord = (0, 0)
         x, y = coord
-        first = True
+        first_iteration = True
+
+        while path or first_iteration:
+            first_iteration = False
 
-        while path or first:
-            first = False
             visited[y, x] = True
-            path = DepthFirstSearch.add_cell_visited(coord, path)
-            random_c = DepthFirstSearch.random_cells(visited, coord, w_h)
-            if len(random_c) == 0:
-                path = DepthFirstSearch.back_on_step(path, w_h, visited)
-                if path:
-                    coord = path[-1]
-                random_c = DepthFirstSearch.random_cells(visited, coord, w_h)
-                x, y = coord
+            path = self.add_cell_visited(coord, path)
+
+            random_c = self.random_cells(visited, coord, w_h)
+
+            if not random_c:
+                path = self.back_on_step(path, w_h, visited)
                 if not path:
                     break
+                coord = path[-1]
+                random_c = self.random_cells(visited, coord, w_h)
+                x, y = coord
 
-            wall = DepthFirstSearch.next_step(random_c)
-            maze[y][x] = DepthFirstSearch.broken_wall(maze[y][x], wall)
+            wall = self.next_step(random_c)
+            maze[y][x] = self.broken_wall(maze[y][x], wall)
 
-            coord = DepthFirstSearch.next_cell(x, y, wall)
-            wall_r = DepthFirstSearch.reverse_path(wall)
+            coord = self.next_cell(x, y, wall)
+            wall_r = self.reverse_path(wall)
             x, y = coord
-            maze[y][x] = DepthFirstSearch.broken_wall(maze[y][x], wall_r)
+            maze[y][x] = self.broken_wall(maze[y][x], wall_r)
             yield maze
         return maze
 
@@ -194,19 +226,22 @@ class DepthFirstSearch(MazeGenerator):
         return (x + add_x, y + add_y)
 
     @staticmethod
-    def reverse_path(next: str) -> str:
-        reverse = {"N": "S", "S": "N", "W": "E", "E": "W"}
-        return reverse[next]
+    def reverse_path(direction: str) -> str:
+        return {"N": "S", "S": "N", "W": "E", "E": "W"}[direction]
 
     @staticmethod
     def back_on_step(path: list, w_h: tuple, visited: np.array) -> list:
-        last = path[-1]
-        r_cells = DepthFirstSearch.random_cells(visited, last, w_h)
-        while len(path) > 0:
-            path.pop()
-            if path:
-                last = path[-1]
-            r_cells = DepthFirstSearch.random_cells(visited, last, w_h)
-            if r_cells:
+        while path:
+            last = path[-1]
+            if DepthFirstSearch.random_cells(visited, last, w_h):
                 break
+            path.pop()
         return path
+
+    @staticmethod
+    def lock_cell_ft(visited: np.ndarray, forty_two: set[tuple[int]]
+                     ) -> np.ndarray:
+        tab = [cell for cell in forty_two]
+        for cell in tab:
+            visited[cell] = True
+        return visited