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https://github.com/maoakeEnterprise/amazing.git
synced 2026-04-28 16:04:35 +02:00
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23 Commits
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|---|---|---|---|
| b2aa93e04d | |||
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| 6f4699c29f | |||
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| 282fbd6867 | |||
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| cfac4bed25 | |||
| cd3c75fb1e | |||
| 628bb8a94b | |||
| dc19b526fa | |||
| 68d710e313 | |||
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| cb19cf1413 | |||
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| 349e58ce41 |
+260
-27
@@ -1,9 +1,10 @@
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||||
from typing import Any
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||||
from src.AMazeIng import AMazeIng
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from src.parsing import Parsing
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from mlx.mlx import Mlx
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from mlx import Mlx
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import numpy as np
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import math
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import time
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class MazeMLX:
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@@ -11,44 +12,231 @@ class MazeMLX:
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self.mlx = Mlx()
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self.height = height
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self.width = width
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self.print_path = False
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self.color = [0x00, 0x00, 0xFF, 0xFF]
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self.mlx_ptr = self.mlx.mlx_init()
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self.generator = None
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self.win_ptr = self.mlx.mlx_new_window(
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self.mlx_ptr, width, height, "amazing"
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self.mlx_ptr, width, height + 200, "A-Maze-Ing"
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)
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self.img_ptr = self.mlx.mlx_new_image(self.mlx_ptr, width, height)
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self.buf, self.bpp, self.size_line, self.format = (
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self.mlx.mlx_get_data_addr(self.img_ptr)
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)
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self.path_printer = None
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self.generator = None
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||||
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def close(self) -> None:
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self.mlx.mlx_destroy_image(self.mlx_ptr, self.img_ptr)
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def put_pixel(self, x, y) -> None:
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offset = y * self.size_line + x * (self.bpp // 8)
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self.buf[offset + 0] = 0xFF
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self.buf[offset + 1] = 0xFF
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self.buf[offset + 2] = 0xFF
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if self.bpp >= 32:
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self.buf[offset + 3] = 0xFF
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def close_loop(self, _: Any):
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self.mlx.mlx_loop_exit(self.mlx_ptr)
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def clear_image(self) -> None:
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self.buf[:] = b"\x00" * len(self.buf)
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self.mlx.mlx_clear_window(self.mlx_ptr, self.win_ptr)
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def put_line(self, start: tuple[int, int], end: tuple[int, int]) -> None:
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def redraw_image(self) -> None:
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self.mlx.mlx_clear_window(self.mlx_ptr, self.win_ptr)
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self.mlx.mlx_put_image_to_window(
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self.mlx_ptr, self.win_ptr, self.img_ptr, 0, 0
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)
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self.mlx.mlx_string_put(
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self.mlx_ptr,
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self.win_ptr,
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self.width // 3,
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self.height + 100,
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0xFFFFFF,
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"1: regen; 2: path; 3: color; 4: quit;",
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)
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def put_pixel(self, x, y, color: list | None = None) -> None:
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if x < 0 or y < 0 or x >= self.width or y >= self.height:
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return
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offset = y * self.size_line + x * (self.bpp // 8)
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if color:
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self.buf[offset + 0] = color[0]
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self.buf[offset + 1] = color[1]
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self.buf[offset + 2] = color[2]
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if self.bpp >= 32:
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self.buf[offset + 3] = color[3]
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else:
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self.buf[offset + 0] = self.color[0]
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self.buf[offset + 1] = self.color[1]
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self.buf[offset + 2] = self.color[2]
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if self.bpp >= 32:
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self.buf[offset + 3] = self.color[3]
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def put_line(
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self,
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start: tuple[int, int],
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end: tuple[int, int],
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color: list | None = None,
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) -> None:
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sx, sy = start
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ex, ey = end
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if sy == ey:
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for x in range(min(sx, ex), max(sx, ex) + 1):
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self.put_pixel(x, sy)
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self.put_pixel(x, sy, color)
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if sx == ex:
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for y in range(min(sy, ey), max(sy, ey) + 1):
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self.put_pixel(sx, y)
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self.put_pixel(sx, y, color)
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def put_block(
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self,
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ul: tuple[int, int],
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dr: tuple[int, int],
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color: list | None = None,
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) -> None:
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for y in range(min(ul[1], dr[1]), max(dr[1], ul[1])):
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self.put_line(
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(min(ul[0], dr[0]), y), (max(ul[0], dr[0]), y), color
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)
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@staticmethod
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def random_color_ft() -> Any:
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colors = [
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[0xFF, 0xBF, 0x00, 0xFF], # blue
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[0xFF, 0x00, 0x80, 0xFF], # purple
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[0xFF, 0x00, 0xFF, 0xFF], # rose
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]
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while True:
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for color in colors:
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yield color
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@staticmethod
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def random_color() -> Any:
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colors = [
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[0x00, 0x00, 0xFF, 0xFF], # red
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[0x00, 0xFF, 0xFF, 0xFF], # yellow
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[0x00, 0xFF, 0x40, 0xFF], # green
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[0xFF, 0xBF, 0x00, 0xFF], # blue
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[0xFF, 0x00, 0x80, 0xFF], # purple
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[0xFF, 0x00, 0xFF, 0xFF], # pink
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]
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while True:
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for color in colors:
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yield color
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def update_maze(self, maze: np.ndarray) -> None:
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self.clear_image()
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rows = len(maze)
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cols = len(maze[0])
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line_len = min(self.width // cols, self.height // rows)
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maze_width = cols * line_len
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maze_height = rows * line_len
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margin_x = (self.width - maze_width) // 2
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margin_y = (self.height - maze_height) // 2
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for y in range(len(maze)):
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for x in range(len(maze[0])):
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x0 = x * line_len + margin_x
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y0 = y * line_len + margin_y
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x1 = x * line_len + line_len + margin_x
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y1 = y * line_len + line_len + margin_y
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if maze[y][x].get_north():
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self.put_line((x0, y0), (x1, y0))
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if maze[y][x].get_est():
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self.put_line((x1, y0), (x1, y1))
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if maze[y][x].get_south():
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self.put_line((x0, y1), (x1, y1))
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if maze[y][x].get_west():
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self.put_line((x0, y0), (x0, y1))
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def put_path(self, amazing: AMazeIng) -> Any:
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path = amazing.solve_path()
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print(path)
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actual = amazing.entry
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actual = (actual[0] - 1, actual[1] - 1)
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maze = amazing.maze.get_maze()
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if maze is None:
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return
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rows = len(maze)
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cols = len(maze[0])
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line_len = min(self.width // cols, self.height // rows)
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maze_width = cols * line_len
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maze_height = rows * line_len
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margin_x = (self.width - maze_width) // 2
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margin_y = (self.height - maze_height) // 2
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for i in range(len(path)):
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ul = (
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(actual[0]) * line_len + margin_x + 12,
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(actual[1]) * line_len + 12 + margin_y,
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)
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dr = (
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(actual[0]) * line_len + line_len + margin_x - 12,
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(actual[1]) * line_len + line_len - 12 + margin_y,
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)
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self.put_block(ul, dr)
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x0 = actual[0] * line_len + margin_x + 12
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y0 = actual[1] * line_len + margin_y + 12
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x1 = actual[0] * line_len + line_len + margin_x - 12
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y1 = actual[1] * line_len + line_len + margin_y - 12
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yield
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match path[i]:
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case "N":
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self.put_block((x0, y0), (x1, y0 - 24))
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actual = (actual[0], actual[1] - 1)
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case "E":
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self.put_block((x1, y0), (x1 + 24, y1))
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actual = (actual[0] + 1, actual[1])
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case "S":
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self.put_block((x0, y1), (x1, y1 + 24))
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actual = (actual[0], actual[1] + 1)
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case "W":
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self.put_block((x0, y0), (x0 - 24, y1))
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actual = (actual[0] - 1, actual[1])
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ul = (
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(actual[0]) * line_len + margin_x + 12,
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(actual[1]) * line_len + 12 + margin_y,
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||||
)
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dr = (
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(actual[0]) * line_len + line_len + margin_x - 12,
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(actual[1]) * line_len + line_len - 12 + margin_y,
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)
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self.put_block(ul, dr)
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return
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|
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def put_start_end(self, amazing: AMazeIng):
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entry = amazing.entry
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exit = amazing.exit
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maze = amazing.maze.get_maze()
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if maze is None:
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return
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|
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rows = len(maze)
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cols = len(maze[0])
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|
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line_len = min(self.width // cols, self.height // rows)
|
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|
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maze_width = cols * line_len
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maze_height = rows * line_len
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|
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margin_x = (self.width - maze_width) // 2
|
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margin_y = (self.height - maze_height) // 2
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|
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ul = (
|
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(entry[0] - 1) * line_len + margin_x + 3,
|
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(entry[1] - 1) * line_len + 3 + margin_y,
|
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)
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dr = (
|
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(entry[0] - 1) * line_len + line_len + margin_x - 3,
|
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(entry[1] - 1) * line_len + line_len - 3 + margin_y,
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)
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print(f"ul: {ul}; dr: {dr}")
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self.put_block(ul, dr)
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self.redraw_image()
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|
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def draw_ft(self, maze: np.ndarray, color: list | None = None):
|
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self.clear_image()
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margin = math.trunc(
|
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math.sqrt(self.width if self.width > self.height else self.height)
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// 2
|
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@@ -75,28 +263,73 @@ class MazeMLX:
|
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self.put_line((x0, y1), (x1, y1))
|
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if maze[y][x].get_west():
|
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self.put_line((x0, y0), (x0, y1))
|
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self.mlx.mlx_put_image_to_window(
|
||||
self.mlx_ptr, self.win_ptr, self.img_ptr, 0, 0)
|
||||
if maze[y][x].value == 15:
|
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self.put_block((x0, y0), (x1, y1))
|
||||
|
||||
def close_loop(self, _: Any):
|
||||
self.mlx.mlx_loop_exit(self.mlx_ptr)
|
||||
def draw_image(self, amazing: AMazeIng) -> None:
|
||||
if self.render_maze(amazing):
|
||||
if self.path_printer and self.print_path:
|
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if self.render_path():
|
||||
color = next(self.color_gen_ft)
|
||||
color
|
||||
else:
|
||||
self.draw_ft(amazing.maze.get_maze())
|
||||
self.redraw_image()
|
||||
|
||||
def gen_maze(self, amazing: AMazeIng) -> None:
|
||||
def shift_color(self):
|
||||
self.color_gen = self.random_color()
|
||||
|
||||
def shift_color_ft(self):
|
||||
self.color_gen_ft = self.random_color_ft()
|
||||
|
||||
def restart_maze(self, amazing: AMazeIng) -> None:
|
||||
self.generator = amazing.generate()
|
||||
|
||||
def start(self, amazing: AMazeIng) -> None:
|
||||
self.gen_maze(amazing)
|
||||
self.mlx.mlx_loop_hook(self.mlx_ptr, self.render, amazing)
|
||||
self.mlx.mlx_hook(self.win_ptr, 33, 0, self.close_loop, None)
|
||||
self.mlx.mlx_loop(self.mlx_ptr)
|
||||
def restart_path(self, amazing: AMazeIng) -> None:
|
||||
self.path_printer = self.put_path(amazing)
|
||||
|
||||
def render(self, amazing: AMazeIng):
|
||||
def render_path(self) -> bool:
|
||||
try:
|
||||
next(self.path_printer)
|
||||
time.sleep(0.03)
|
||||
return False
|
||||
except StopIteration:
|
||||
pass
|
||||
return True
|
||||
|
||||
def render_maze(self, amazing: AMazeIng) -> bool:
|
||||
try:
|
||||
next(self.generator)
|
||||
self.update_maze(amazing.maze.get_maze())
|
||||
# time.sleep(0.01)
|
||||
return False
|
||||
except StopIteration:
|
||||
self.put_start_end(amazing)
|
||||
pass
|
||||
return True
|
||||
|
||||
def handle_key_press(self, keycode: int, amazing: AMazeIng) -> None:
|
||||
if keycode == 49:
|
||||
self.restart_maze(amazing)
|
||||
self.print_path = False
|
||||
if keycode == 50:
|
||||
self.restart_path(amazing)
|
||||
self.print_path = True if self.print_path is False else False
|
||||
if keycode == 51:
|
||||
self.print_path = False
|
||||
self.color = next(self.color_gen)
|
||||
if keycode == 52:
|
||||
self.close_loop(None)
|
||||
|
||||
def start(self, amazing: AMazeIng) -> None:
|
||||
self.restart_maze(amazing)
|
||||
self.shift_color()
|
||||
self.shift_color_ft()
|
||||
self.mlx.mlx_loop_hook(self.mlx_ptr, self.draw_image, 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 main() -> None:
|
||||
|
||||
+3
-3
@@ -1,7 +1,7 @@
|
||||
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
|
||||
|
||||
+2
-2
@@ -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
|
||||
|
||||
|
||||
+138
-128
@@ -1,5 +1,6 @@
|
||||
from abc import ABC, abstractmethod
|
||||
from .Maze import Maze
|
||||
from typing import Any
|
||||
import numpy as np
|
||||
|
||||
|
||||
@@ -9,163 +10,165 @@ 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 = None, width: int | None = None
|
||||
) -> str: ...
|
||||
|
||||
|
||||
class AStar(MazeSolver):
|
||||
class Node:
|
||||
def __init__(
|
||||
self,
|
||||
coordinate: tuple[int, int],
|
||||
g: int,
|
||||
h: int,
|
||||
f: int,
|
||||
parent: Any,
|
||||
) -> None:
|
||||
self.coordinate = coordinate
|
||||
self.g = g
|
||||
self.h = h
|
||||
self.f = f
|
||||
self.parent = parent
|
||||
|
||||
def __eq__(self, value: object, /) -> bool:
|
||||
return value == self.coordinate
|
||||
|
||||
def __init__(self, start: tuple[int, int], end: tuple[int, int]) -> None:
|
||||
super().__init__(start, end)
|
||||
self.path = []
|
||||
|
||||
def f(self, n):
|
||||
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(self, 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])
|
||||
)
|
||||
|
||||
def h(n: tuple[int, int]) -> int:
|
||||
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
|
||||
|
||||
try:
|
||||
return g(n) + h(n)
|
||||
except Exception:
|
||||
return 1000
|
||||
|
||||
def best_path(
|
||||
def get_paths(
|
||||
self,
|
||||
maze: np.ndarray,
|
||||
actual: tuple[int, int],
|
||||
last: str | None,
|
||||
) -> dict[str, int]:
|
||||
path = {
|
||||
"N": (
|
||||
self.f((actual[0], actual[1] - 1))
|
||||
if not maze[actual[1]][actual[0]].get_north() and actual[1] > 0
|
||||
close: list,
|
||||
) -> list[tuple[int, int]]:
|
||||
path = [
|
||||
(
|
||||
(actual[0], actual[1] - 1)
|
||||
if not maze[actual[1]][actual[0]].get_north()
|
||||
and actual[1] > 0
|
||||
and (actual[0], actual[1] - 1)
|
||||
not in [n.coordinate for n in close]
|
||||
else None
|
||||
),
|
||||
"E": (
|
||||
self.f((actual[0] + 1, actual[1]))
|
||||
(
|
||||
(actual[0] + 1, actual[1])
|
||||
if not maze[actual[1]][actual[0]].get_est()
|
||||
and actual[0] < len(maze[0]) - 1
|
||||
and (actual[0] + 1, actual[1])
|
||||
not in [n.coordinate for n in close]
|
||||
else None
|
||||
),
|
||||
"S": (
|
||||
self.f((actual[0], actual[1] + 1))
|
||||
(
|
||||
(actual[0], actual[1] + 1)
|
||||
if not maze[actual[1]][actual[0]].get_south()
|
||||
and actual[1] < len(maze) - 1
|
||||
and (actual[0], actual[1] + 1)
|
||||
not in [n.coordinate for n in close]
|
||||
else None
|
||||
),
|
||||
"W": (
|
||||
self.f((actual[0] - 1, actual[1]))
|
||||
if not maze[actual[1]][actual[0]].get_west() and actual[0] > 0
|
||||
(
|
||||
(actual[0] - 1, actual[1])
|
||||
if not maze[actual[1]][actual[0]].get_west()
|
||||
and actual[0] > 0
|
||||
and (actual[0] - 1, actual[1])
|
||||
not in [n.coordinate for n in close]
|
||||
else None
|
||||
),
|
||||
}
|
||||
return {
|
||||
k: v
|
||||
for k, v in sorted(path.items(), key=lambda item: item[0])
|
||||
if v is not None and k != last
|
||||
}
|
||||
]
|
||||
return [p for p in path if p is not None]
|
||||
|
||||
def get_opposit(self, dir: str) -> str:
|
||||
match dir:
|
||||
case "N":
|
||||
return "S"
|
||||
case "E":
|
||||
return "W"
|
||||
case "S":
|
||||
return "N"
|
||||
case "W":
|
||||
return "E"
|
||||
case _:
|
||||
return ""
|
||||
def get_path(self, maze: np.ndarray) -> list:
|
||||
open: list[AStar.Node] = []
|
||||
close: list[AStar.Node] = []
|
||||
|
||||
def get_next_pos(
|
||||
self, dir: str, actual: tuple[int, int]
|
||||
) -> tuple[int, int]:
|
||||
match dir:
|
||||
case "N":
|
||||
return (actual[0], actual[1] - 1)
|
||||
case "E":
|
||||
return (actual[0] + 1, actual[1])
|
||||
case "S":
|
||||
return (actual[0], actual[1] + 1)
|
||||
case "W":
|
||||
return (actual[0] - 1, actual[1])
|
||||
case _:
|
||||
return actual
|
||||
|
||||
def get_path(self, maze: np.ndarray) -> str | None:
|
||||
path = [(self.start, self.best_path(maze, self.start, None))]
|
||||
visited = [self.start]
|
||||
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(path[-1][1]))
|
||||
path[-1][1].pop(k)
|
||||
continue
|
||||
|
||||
while len(path[-1][1]) > 0:
|
||||
next_pos = self.get_next_pos(
|
||||
list(path[-1][1].keys())[0], path[-1][0]
|
||||
)
|
||||
if next_pos in visited:
|
||||
k = next(iter(path[-1][1]))
|
||||
path[-1][1].pop(k)
|
||||
else:
|
||||
break
|
||||
if len(path[-1][1]) == 0:
|
||||
path.pop(-1)
|
||||
continue
|
||||
|
||||
pre = self.get_opposit(list(path[-1][1].keys())[0])
|
||||
path.append(
|
||||
(
|
||||
next_pos,
|
||||
self.best_path(maze, next_pos, pre),
|
||||
)
|
||||
open.append(
|
||||
AStar.Node(
|
||||
self.start,
|
||||
0,
|
||||
self.h(self.start),
|
||||
self.h(self.start),
|
||||
None,
|
||||
)
|
||||
visited += [next_pos]
|
||||
if len(path) == 0:
|
||||
return None
|
||||
path[-1] = (self.end, {})
|
||||
return "".join(
|
||||
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:
|
||||
res = self.get_path(maze.get_maze())
|
||||
if res is None:
|
||||
raise Exception("Path not found")
|
||||
while len(open) > 0:
|
||||
to_check = sorted(open, key=lambda x: x.f)[0]
|
||||
open.remove(to_check)
|
||||
close.append(to_check)
|
||||
if to_check.coordinate == self.end:
|
||||
return close
|
||||
paths = self.get_paths(maze, to_check.coordinate, close)
|
||||
for path in paths:
|
||||
open.append(
|
||||
self.Node(
|
||||
path,
|
||||
to_check.g + 1,
|
||||
self.h(path),
|
||||
self.h(path) + to_check.g + 1,
|
||||
to_check,
|
||||
)
|
||||
)
|
||||
raise Exception("Path not found")
|
||||
|
||||
def get_rev_dir(self, current: Node) -> str:
|
||||
if current.parent.coordinate == (
|
||||
current.coordinate[0],
|
||||
current.coordinate[1] - 1,
|
||||
):
|
||||
return "S"
|
||||
elif current.parent.coordinate == (
|
||||
current.coordinate[0] + 1,
|
||||
current.coordinate[1],
|
||||
):
|
||||
return "W"
|
||||
elif current.parent.coordinate == (
|
||||
current.coordinate[0],
|
||||
current.coordinate[1] + 1,
|
||||
):
|
||||
return "N"
|
||||
elif current.parent.coordinate == (
|
||||
current.coordinate[0] - 1,
|
||||
current.coordinate[1],
|
||||
):
|
||||
return "E"
|
||||
else:
|
||||
raise Exception("Translate error: AStar path not found")
|
||||
|
||||
def translate(self, close: list) -> str:
|
||||
current = close[-1]
|
||||
res = ""
|
||||
while True:
|
||||
res = self.get_rev_dir(current) + res
|
||||
current = current.parent
|
||||
if current.coordinate == self.start:
|
||||
break
|
||||
return res
|
||||
|
||||
def solve(
|
||||
self, maze: Maze, height: int | None = None, width: int | None = None
|
||||
) -> str:
|
||||
path = self.get_path(maze.get_maze())
|
||||
return self.translate(path)
|
||||
|
||||
|
||||
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 = None, width: int | None = None
|
||||
) -> str:
|
||||
path_str = ""
|
||||
visited = np.zeros((height, width), dtype=bool)
|
||||
path = list()
|
||||
@@ -179,8 +182,9 @@ 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]
|
||||
@@ -195,8 +199,9 @@ 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
|
||||
@@ -219,8 +224,13 @@ 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):
|
||||
|
||||
@@ -1,19 +0,0 @@
|
||||
D553955513B913B
|
||||
9796C553AA86AC2
|
||||
83C151146AC7C12
|
||||
C03856817C393EA
|
||||
96EC53A8556AC3A
|
||||
8553FC6AFFFABC2
|
||||
8792FD5057FAC16
|
||||
E946FFFAFFF83AB
|
||||
92913BFAFD52AC2
|
||||
AEAAC6FAFFFEC3A
|
||||
A904553A9555382
|
||||
828557AAAD5546E
|
||||
844553C6C151553
|
||||
C5395439545453A
|
||||
D546D546D555546
|
||||
|
||||
1,1
|
||||
2,2
|
||||
EEESWSEEEEEENNESSSESWWWSSSSSSSSWNNWWWNNWSSSSEEESWWSWNWWNENWNNNENEENNWWWNENNWNE
|
||||
Reference in New Issue
Block a user