forked from UNN/2026-rff_mp
61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
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import time
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from typing import List, Tuple, Optional
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from models import Maze, Cell
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from strategies import PathFindingStrategy
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class SearchStats:
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def __init__(self, time_ms: float, visited: int, path_length: int):
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self.time_ms = time_ms
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self.visited_count = visited
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self.path_length = path_length
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def __str__(self):
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return (f"Время: {self.time_ms:.4f} мс | "
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f"Посещено: {self.visited_count} | "
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f"Длина пути: {self.path_length}")
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class MazeSolver:
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def __init__(self, maze: Maze, strategy: Optional[PathFindingStrategy] = None):
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self.maze = maze
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self.strategy = strategy
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self._observers = []
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def setStrategy(self, strategy: PathFindingStrategy):
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self.strategy = strategy
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def attach(self, observer):
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self._observers.append(observer)
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def detach(self, observer):
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self._observers.remove(observer)
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def _notify(self, event: str, data=None):
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for observer in self._observers:
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observer.update(event, data)
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def solve(self) -> Tuple[List[Cell], SearchStats]:
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if not self.strategy:
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raise ValueError("Стратегия поиска не установлена.")
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if not self.maze.start or not self.maze.exit:
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raise ValueError("В лабиринте не определены старт или выход.")
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self._notify("search_started", {"strategy": type(self.strategy).__name__})
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start_time = time.perf_counter()
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path = self.strategy.findPath(self.maze, self.maze.start, self.maze.exit)
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end_time = time.perf_counter()
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elapsed_ms = (end_time - start_time) * 1000
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visited = self.strategy.visited_count
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path_len = len(path)
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stats = SearchStats(elapsed_ms, visited, path_len)
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if path:
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self._notify("path_found", {"path": path, "stats": stats})
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else:
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self._notify("path_not_found", {"stats": stats})
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return path, stats
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