mirror of
https://github.com/maoakeEnterprise/amazing.git
synced 2026-04-28 16:04:35 +02:00
need to fix my infinite while so i make a checkpoint if i need to restore it
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+6
-2
@@ -1,6 +1,6 @@
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import os
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from numpy import ma
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from src.amaz_lib import MazeGenerator
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from src.amaz_lib import DepthFirstSearch
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from src.amaz_lib import Maze
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@@ -14,9 +14,13 @@ def main() -> None:
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maze.export_maze("test.txt")
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def main2() -> None:
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DepthFirstSearch.generator(5, 5)
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# except Exception as err:
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# print(err)
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if __name__ == "__main__":
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main()
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main2()
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@@ -90,17 +90,22 @@ class DepthFirstSearch:
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@staticmethod
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def generator(width: int, height: int) -> np.ndarray:
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maze = DepthFirstSearch.init_maze(width, height)
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visited = []
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path = []
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visited = set()
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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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while len(visited) < width * height:
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print(f"visited {len(visited)}")
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x, y = coord
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rand_steps = DepthFirstSearch.random_cells(visited, coord, w_h)
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if len(rand_steps) == 0:
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path = DepthFirstSearch.back_on_step(path, w_h)
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coord = DepthFirstSearch.last(path)
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path = DepthFirstSearch.back_on_step(path, w_h, visited)
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coord = path[-1]
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rand_steps = DepthFirstSearch.random_cells(path, coord, w_h)
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print(f"coord {coord}")
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print(f"visited = {visited}")
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print(f" rand steps {rand_steps}")
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print(f"path = {path}")
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x, y = coord
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wall = DepthFirstSearch.next_step(rand_steps)
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wall_r = DepthFirstSearch.reverse_path(wall)
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@@ -108,6 +113,7 @@ class DepthFirstSearch:
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visited = DepthFirstSearch.add_cell_visited(coord, visited)
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path = DepthFirstSearch.add_cell_visited(coord, path)
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coord = DepthFirstSearch.next_cell(x, y, wall)
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print(f"coord 2 {coord}")
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x, y = coord
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maze[y][x] = DepthFirstSearch.broken_wall(maze[y][x], wall_r)
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return maze
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@@ -119,12 +125,15 @@ class DepthFirstSearch:
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return maze
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@staticmethod
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def add_cell_visited(coord: tuple, visited: list = []) -> list:
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visited.append(coord)
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def add_cell_visited(coord: tuple, visited: list | set) -> list | set:
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if isinstance(visited, list):
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visited.append(coord)
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if isinstance(visited, set):
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visited.add(coord)
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return visited
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@staticmethod
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def random_cells(visited: list, coord: tuple, w_h: tuple) -> list:
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def random_cells(visited: set, coord: tuple, w_h: tuple) -> list:
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rand_cell = []
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x, y = coord
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width, height = w_h
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@@ -172,6 +181,7 @@ class DepthFirstSearch:
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add_x, add_y = next_step[next]
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return (x + add_x, y + add_y)
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@staticmethod
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def reverse_path(next: str) -> str:
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reverse = {
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"N": "S",
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@@ -182,14 +192,15 @@ class DepthFirstSearch:
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return reverse[next]
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@staticmethod
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def last(path: list):
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return path[len(path) - 1]
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def back_on_step(path: list, w_h: tuple) -> list:
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last = DepthFirstSearch.last(path)
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r_cells = DepthFirstSearch.random_cells(path, last, w_h)
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while len(r_cells == 0):
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path.pop(len(path) - 1)
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last = DepthFirstSearch.last(path)
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r_cells = DepthFirstSearch.random_cells(path, last, w_h)
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def back_on_step(path: list, w_h: tuple, visited: set) -> list:
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last = path[-1]
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r_cells = DepthFirstSearch.random_cells(visited, last, w_h)
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while len(path) > 0:
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print(f"path {len(path)}")
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path.pop()
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last = path[-1]
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r_cells = DepthFirstSearch.random_cells(visited, last, w_h)
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if r_cells:
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print(f"cells {len(r_cells)}")
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break
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return path
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+8
-6
@@ -1,5 +1,6 @@
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from amaz_lib.MazeGenerator import DepthFirstSearch
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from amaz_lib.Cell import Cell
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import numpy as np
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class TestDepth:
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@@ -12,7 +13,7 @@ class TestDepth:
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def test_rand_cells(self) -> None:
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w_h = (10, 10)
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lst = DepthFirstSearch.add_cell_visited((0, 0))
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lst = DepthFirstSearch.add_cell_visited((0, 0), set())
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rand_cells = DepthFirstSearch.random_cells(lst, (0, 1), w_h)
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assert len(rand_cells) == 2
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@@ -24,10 +25,11 @@ class TestDepth:
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def test_reverse_path(self) -> None:
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assert DepthFirstSearch.reverse_path("N") == "S"
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def test_last(self) -> None:
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lst = [(0, 0), (1, 1)]
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assert DepthFirstSearch.last(lst) == (1, 1)
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def test_BOS(self) -> None:
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path = [(0, 0), (0, 2), (1, 1)]
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path = {(0, 0), (0, 2), (1, 1)}
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assert len(DepthFirstSearch.random_cells(path, (0, 1), (10, 10))) == 0
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def test_generator(self):
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maze = np.array([])
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maze = DepthFirstSearch.generator(10, 10)
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assert maze.shape == (10, 10)
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