forked from UNN/2026-rff_mp
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
#!/usr/bin/env python
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# coding: utf-8
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# In[ ]:
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from collections import deque
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from typing import List, Dict, Optional
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from strategiesPathfinding_strategy import PathFindingStrategy
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from modelsMaze import Maze
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from modelsCell import Cell
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class BFSStrategy(PathFindingStrategy):
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"""Поиск в ширину - гарантирует кратчайший путь."""
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@property
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def name(self) -> str:
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return "BFS"
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def find_path(self, maze: Maze, start: Cell, exit_cell: Cell) -> List[Cell]:
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if start == exit_cell:
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return [start]
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queue = deque([start])
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came_from: Dict[Cell, Optional[Cell]] = {start: None}
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visited_count = 0 # Для статистики
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while queue:
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current = queue.popleft()
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visited_count += 1
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if current == exit_cell:
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# Сохраняем количество посещённых клеток для статистики
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self._last_visited_count = visited_count
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return self._reconstruct_path(came_from, start, current)
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for neighbor in maze.get_neighbors(current):
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if neighbor not in came_from:
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came_from[neighbor] = current
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queue.append(neighbor)
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self._last_visited_count = visited_count
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return []
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@property
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def last_visited_count(self) -> int:
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return getattr(self, '_last_visited_count', 0)
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