FIX(path render): path render was called twice

a_maze_ing.py

@@ -1,9 +1,10 @@
-from typing import Any
+from typing import Any, Generator
 from src.AMazeIng import AMazeIng
 from src.parsing import Parsing
-from mlx.mlx import Mlx
+from mlx import Mlx
 import numpy as np
 import math
+import time
 
 
 class MazeMLX:
@@ -12,18 +13,33 @@ class MazeMLX:
         self.height = height
         self.width = width
         self.mlx_ptr = self.mlx.mlx_init()
-        self.generator = None
         self.win_ptr = self.mlx.mlx_new_window(
-            self.mlx_ptr, width, height, "amazing"
+            self.mlx_ptr, width, height + 200, "A-Maze-Ing"
         )
         self.img_ptr = self.mlx.mlx_new_image(self.mlx_ptr, width, height)
         self.buf, self.bpp, self.size_line, self.format = (
             self.mlx.mlx_get_data_addr(self.img_ptr)
         )
+        self.path_printer = None
+        self.generator = None
 
     def close(self) -> None:
         self.mlx.mlx_destroy_image(self.mlx_ptr, self.img_ptr)
 
+    def redraw_image(self) -> None:
+        self.mlx.mlx_clear_window(self.mlx_ptr, self.win_ptr)
+        self.mlx.mlx_put_image_to_window(
+            self.mlx_ptr, self.win_ptr, self.img_ptr, 0, 0
+        )
+        self.mlx.mlx_string_put(
+            self.mlx_ptr,
+            self.win_ptr,
+            self.width // 3,
+            self.height + 100,
+            0xFFFFFF,
+            "1: regen; 2: path; 3: color; 4: quit;",
+        )
+
     def put_pixel(self, x, y) -> None:
         offset = y * self.size_line + x * (self.bpp // 8)
 
@@ -35,7 +51,6 @@ class MazeMLX:
 
     def clear_image(self) -> None:
         self.buf[:] = b"\x00" * len(self.buf)
-        self.mlx.mlx_clear_window(self.mlx_ptr, self.win_ptr)
 
     def put_line(self, start: tuple[int, int], end: tuple[int, int]) -> None:
         sx, sy = start
@@ -75,28 +90,116 @@ class MazeMLX:
                     self.put_line((x0, y1), (x1, y1))
                 if maze[y][x].get_west():
                     self.put_line((x0, y0), (x0, y1))
-        self.mlx.mlx_put_image_to_window(
-            self.mlx_ptr, self.win_ptr, self.img_ptr, 0, 0)
+        self.redraw_image()
+
+    def put_block(self, ul: tuple[int, int], dr: tuple[int, int]) -> None:
+        for y in range(min(ul[1], dr[1]), max(dr[1], ul[1])):
+            self.put_line((min(ul[0], dr[0]), y), (max(ul[0], dr[0]), y))
+
+    def put_path(self, amazing: AMazeIng):
+        path = amazing.solve_path()
+        print(path)
+        actual = amazing.entry
+        actual = (actual[0] - 1, actual[1] - 1)
+        maze = amazing.maze.get_maze()
+        if maze is None:
+            return
+        margin = math.trunc(
+            math.sqrt(self.width if self.width > self.height else self.height)
+            // 2
+        )
+        cell_size = math.trunc(
+            (
+                (self.height - margin) // len(maze)
+                if self.height > self.width
+                else (self.width - margin) // len(maze[0])
+            )
+        )
+        self.update_maze(maze)
+        for i in range(len(path)):
+            ul = (
+                (actual[0]) * cell_size + margin + 12,
+                (actual[1]) * cell_size + 12 + margin,
+            )
+            dr = (
+                (actual[0]) * cell_size + cell_size + margin - 12,
+                (actual[1]) * cell_size + cell_size - 12 + margin,
+            )
+            self.put_block(ul, dr)
+            self.redraw_image()
+            x0 = actual[0] * cell_size + margin + 12
+            y0 = actual[1] * cell_size + margin + 12
+            x1 = actual[0] * cell_size + cell_size + margin - 12
+            y1 = actual[1] * cell_size + cell_size + margin - 12
+            yield
+            match path[i]:
+                case "N":
+                    self.put_block((x0, y0), (x1, y0 - 24))
+                    actual = (actual[0], actual[1] - 1)
+                case "E":
+                    self.put_block((x1, y0), (x1 + 24, y1))
+                    actual = (actual[0] + 1, actual[1])
+                case "S":
+                    self.put_block((x0, y1), (x1, y1 + 24))
+                    actual = (actual[0], actual[1] + 1)
+                case "W":
+                    self.put_block((x0, y0), (x0 - 24, y1))
+                    actual = (actual[0] - 1, actual[1])
+        ul = (
+            (actual[0]) * cell_size + margin + 12,
+            (actual[1]) * cell_size + 12 + margin,
+        )
+        dr = (
+            (actual[0]) * cell_size + cell_size + margin - 12,
+            (actual[1]) * cell_size + cell_size - 12 + margin,
+        )
+        self.put_block(ul, dr)
+        self.redraw_image()
+        return
 
     def close_loop(self, _: Any):
         self.mlx.mlx_loop_exit(self.mlx_ptr)
 
-    def gen_maze(self, amazing: AMazeIng) -> None:
-        self.generator = amazing.generate()
+    def handle_key_press(self, keycode: int, amazing: AMazeIng) -> None:
+        if keycode == 49:
+            self.restart_maze(amazing)
+        if keycode == 50:
+            self.restart_path(amazing)
+        if keycode == 51:
+            pass
+        if keycode == 52:
+            self.close_loop(None)
 
     def start(self, amazing: AMazeIng) -> None:
-        self.gen_maze(amazing)
-        self.mlx.mlx_loop_hook(self.mlx_ptr, self.render, amazing)
+        self.restart_maze(amazing)
+        self.mlx.mlx_loop_hook(self.mlx_ptr, self.render_maze, amazing)
         self.mlx.mlx_hook(self.win_ptr, 33, 0, self.close_loop, None)
+        self.mlx.mlx_hook(
+            self.win_ptr, 2, 1 << 0, self.handle_key_press, amazing
+        )
         self.mlx.mlx_loop(self.mlx_ptr)
 
-    def render(self, amazing: AMazeIng):
+    def restart_maze(self, amazing: AMazeIng) -> None:
+        self.generator = amazing.generate()
+
+    def restart_path(self, amazing: AMazeIng) -> None:
+        self.path_printer = self.put_path(amazing)
+
+    def render_path(self):
+        try:
+            next(self.path_printer)
+            time.sleep(0.03)
+        except StopIteration:
+            pass
+
+    def render_maze(self, amazing: AMazeIng):
         try:
             next(self.generator)
             self.update_maze(amazing.maze.get_maze())
             # time.sleep(0.01)
         except StopIteration:
-            pass
+            if self.path_printer is not None:
+                self.render_path()
 
 
 def main() -> None:

config.txt

@@ -1,8 +1,8 @@
-WIDTH=15
-HEIGHT=15
+WIDTH=11
+HEIGHT=11
 ENTRY=1,1
-EXIT=2,2
+EXIT=11,11
 OUTPUT_FILE=maze.txt
-PERFECT=False
-GENERATOR=DFS
+PERFECT=True
+GENERATOR=Kruskal
 SOLVER=AStar

src/AMazeIng.py

@@ -20,9 +20,9 @@ class AMazeIng(BaseModel):
 
     @model_validator(mode="after")
     def check_entry_exit(self) -> Self:
-        if self.entry[0] >= self.width or self.entry[1] >= self.height:
+        if self.entry[0] > self.width or self.entry[1] > self.height:
             raise ValueError("Entry coordinates exceed the maze size")
-        if self.exit[0] >= self.width or self.exit[1] >= self.height:
+        if self.exit[0] > self.width or self.exit[1] > self.height:
             raise ValueError("Exit coordinates exceed the maze size")
         return self
 

src/amaz_lib/MazeSolver.py

@@ -9,30 +9,44 @@ class MazeSolver(ABC):
         self.end = (end[1] - 1, end[0] - 1)
 
     @abstractmethod
-    def solve(
-        self, maze: Maze, height: int = None, width: int = None
-    ) -> str: ...
+    def solve(self, maze: Maze, height: int = None,
+              width: int = None) -> str: ...
 
 
 class AStar(MazeSolver):
 
     def __init__(self, start: tuple[int, int], end: tuple[int, int]) -> None:
         super().__init__(start, end)
-        self.path = []
 
     def f(self, n):
-        def g() -> int:
-            return len(self.path) + 1
+        def g(n: tuple[int, int]) -> int:
+            res = 0
+            if n[0] < self.start[0]:
+                res += self.start[0] - n[0]
+            else:
+                res += n[0] - self.start[0]
+            if n[1] < self.start[1]:
+                res += self.start[1] - n[1]
+            else:
+                res += n[1] - self.start[1]
+            return res
 
         def h(n: tuple[int, int]) -> int:
-            return (
-                max(n[0], self.end[0])
-                - min(n[0], self.end[0])
-                + max(n[1], self.end[1])
-                - min(n[1], self.end[1])
-            )
+            res = 0
+            if n[0] < self.end[0]:
+                res += self.end[0] - n[0]
+            else:
+                res += n[0] - self.end[0]
+            if n[1] < self.end[1]:
+                res += self.end[1] - n[1]
+            else:
+                res += n[1] - self.end[1]
+            return res
 
-        return g() + h(n)
+        try:
+            return g(n) + h(n)
+        except Exception:
+            return 1000
 
     def best_path(
         self,
@@ -99,46 +113,47 @@ class AStar(MazeSolver):
                 return actual
 
     def get_path(self, maze: np.ndarray) -> str | None:
-        self.path = [(self.start, self.best_path(maze, self.start, None))]
+        path = [(self.start, self.best_path(maze, self.start, None))]
         visited = [self.start]
-        while len(self.path) > 0 and self.path[-1][0] != self.end:
-            if len(self.path[-1][1]) == 0:
-                self.path.pop(-1)
-                if len(self.path) == 0:
+        while len(path) > 0 and path[-1][0] != self.end:
+            if len(path[-1][1]) == 0:
+                path.pop(-1)
+                if len(path) == 0:
                     break
-                k = next(iter(self.path[-1][1]))
-                self.path[-1][1].pop(k)
+                k = next(iter(path[-1][1]))
+                path[-1][1].pop(k)
                 continue
 
-            while len(self.path[-1][1]) > 0:
+            while len(path[-1][1]) > 0:
                 next_pos = self.get_next_pos(
-                    list(self.path[-1][1].keys())[0], self.path[-1][0]
+                    list(path[-1][1].keys())[0], path[-1][0]
                 )
                 if next_pos in visited:
-                    k = next(iter(self.path[-1][1]))
-                    self.path[-1][1].pop(k)
+                    k = next(iter(path[-1][1]))
+                    path[-1][1].pop(k)
                 else:
                     break
-            if len(self.path[-1][1]) == 0:
-                self.path.pop(-1)
+            if len(path[-1][1]) == 0:
+                path.pop(-1)
                 continue
 
-            pre = self.get_opposit(list(self.path[-1][1].keys())[0])
-            self.path.append(
+            pre = self.get_opposit(list(path[-1][1].keys())[0])
+            path.append(
                 (
                     next_pos,
                     self.best_path(maze, next_pos, pre),
                 )
             )
             visited += [next_pos]
-        if len(self.path) == 0:
+        if len(path) == 0:
             return None
-        self.path[-1] = (self.end, {})
+        path[-1] = (self.end, {})
         return "".join(
-            str(list(c[1].keys())[0]) for c in self.path if len(c[1]) > 0
+            str(list(c[1].keys())[0]) for c in path if len(c[1]) > 0
         )
 
-    def solve(self, maze: Maze, height: int = None, width: int = None) -> str:
+    def solve(self, maze: Maze, height: int = None,
+              width: int = None) -> str:
         res = self.get_path(maze.get_maze())
         if res is None:
             raise Exception("Path not found")
@@ -149,7 +164,8 @@ class DepthFirstSearchSolver(MazeSolver):
     def __init__(self, start, end):
         super().__init__(start, end)
 
-    def solve(self, maze: Maze, height: int = None, width: int = None) -> str:
+    def solve(self, maze: Maze, height: int = None,
+              width: int = None) -> str:
         path_str = ""
         visited = np.zeros((height, width), dtype=bool)
         path = list()
@@ -163,9 +179,8 @@ class DepthFirstSearchSolver(MazeSolver):
             rand_p = self.random_path(visited, coord, maze_s, h_w)
 
             if not rand_p:
-                path, move = self.back_on_step(
-                    path, visited, maze_s, h_w, move
-                )
+                path, move = self.back_on_step(path, visited, maze_s, h_w,
+                                               move)
                 if not path:
                     break
                 coord = path[-1]
@@ -180,9 +195,8 @@ class DepthFirstSearchSolver(MazeSolver):
         return path_str
 
     @staticmethod
-    def random_path(
-        visited: np.ndarray, coord: tuple, maze: np.ndarray, h_w: tuple
-    ) -> list:
+    def random_path(visited: np.ndarray, coord: tuple,
+                    maze: np.ndarray, h_w: tuple) -> list:
         random_p = []
         h, w = h_w
         y, x = coord
@@ -205,13 +219,8 @@ class DepthFirstSearchSolver(MazeSolver):
         return np.random.choice(rand_path)
 
     @staticmethod
-    def back_on_step(
-        path: list,
-        visited: np.ndarray,
-        maze: np.ndarray,
-        h_w: tuple,
-        move: list,
-    ) -> list:
+    def back_on_step(path: list, visited: np.ndarray,
+                     maze: np.ndarray, h_w: tuple, move: list) -> list:
         while path:
             last = path[-1]
             if DepthFirstSearchSolver.random_path(visited, last, maze, h_w):

test.txt

@@ -1,19 +0,0 @@
-D53939553D13B93
-93AAC697A92C6AA
-AC6A95056AE956A
-A916856D1454152
-A843C5394555696
-A87AF96AFFFB96B
-AE96FC5457F8412
-C52BFFFBFFFC102
-B94453FAFD516EA
-86953AFAFFFA956
-81692C54153A853
-AC3A83950546C3A
-ABA86C2D69517C2
-C2AC55293ABC53A
-D6C55546C4457C6
-
-1,1
-2,2
-EESSWN