стратегии поиска пути

This commit is contained in:
volkovva 2026-05-25 03:30:40 +03:00
parent f7ce8e1682
commit 245a1e7c4b

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@ -1,3 +1,8 @@
from abc import ABC, abstractmethod
from collections import deque
import heapq
# --- Модель ---
class Cell:
def __init__(self, x, y, is_wall=False, is_start=False, is_exit=False):
self.x = x
@ -5,6 +10,7 @@ class Cell:
self.is_wall = is_wall
self.is_start = is_start
self.is_exit = is_exit
self.visited = False
def is_passable(self):
return not self.is_wall
@ -31,6 +37,7 @@ class Maze:
neighbors.append(neighbor)
return neighbors
# --- Строитель
class MazeBuilder:
def buildFromFile(self, filename):
with open(filename, 'r') as f:
@ -38,32 +45,86 @@ class MazeBuilder:
height = len(lines)
width = len(lines[0].strip())
maze = Maze(width, height)
for y, line in enumerate(lines):
for x, char in enumerate(line.strip()):
cell = maze.get_cell(x, y)
if char == '#':
cell.is_wall = True
if char == '#': cell.is_wall = True
elif char == 'S':
cell.is_start = True
maze.start_cell = cell
elif char == 'E':
cell.is_exit = True
maze.exit_cell = cell
if not maze.start_cell or not maze.exit_cell:
raise ValueError("Лабиринт сломан")
return maze
class PathFindingStrategy(ABC):
@abstractmethod
def findPath(self, maze, start, exit):
pass
def _reconstruct_path(self, parents, current):
path = []
while current:
path.append(current)
current = parents.get(current)
return path[::-1]
class BFSStrategy(PathFindingStrategy):
def findPath(self, maze, start, exit):
queue = deque([start])
parents = {start: None}
start.visited = True
while queue:
current = queue.popleft()
if current == exit:
return self._reconstruct_path(parents, exit)
for neighbor in maze.get_neighbors(current):
if not neighbor.visited:
neighbor.visited = True
parents[neighbor] = current
queue.append(neighbor)
return []
class AStarStrategy(PathFindingStrategy):
def _heuristic(self, a, b):
return abs(a.x - b.x) + abs(a.y - b.y)
def findPath(self, maze, start, exit):
heap = [(0, start)]
parents = {start: None}
g_score = {start: 0}
while heap:
_, current = heapq.heappop(heap)
if current == exit:
return self._reconstruct_path(parents, exit)
for neighbor in maze.get_neighbors(current):
new_g = g_score[current] + 1
if new_g < g_score.get(neighbor, float('inf')):
parents[neighbor] = current
g_score[neighbor] = new_g
f = new_g + self._heuristic(neighbor, exit)
heapq.heappush(heap, (f, neighbor))
return []
if __name__ == "__main__":
builder = MazeBuilder()
try:
path_to_maze = r"C:\Users\vva26\2026-rff_mp\VolkovVA\docs\data\maze.txt"
maze = builder.buildFromFile(path_to_maze)
print(f"Лабиринт {maze.width}x{maze.height} загружен.")
solver = BFSStrategy()
path = solver.findPath(maze, maze.start_cell, maze.exit_cell)
print(f" {len(path)}")
my_maze = builder.buildFromFile(r"C:\Users\vva26\2026-rff_mp\VolkovVA\docs\data\maze.txt")
print(f"Лабиринт успешно загружен! Размеры: {my_maze.width}x{my_maze.height}")
print(f"Старт в: ({my_maze.start_cell.x}, {my_maze.start_cell.y})")
print(f"Финиш в: ({my_maze.exit_cell.x}, {my_maze.exit_cell.y})")
except Exception as e:
print(f"Ошибка при загрузке: {e}")
print(f"Ошибка: {e}")