forked from UNN/2026-rff_mp
Merge pull request '[1,2] лаба 2 (тут еще и первая пусть будит)' (#319) from famutdinovmd/2026-rff_mp:master into develop
Reviewed-on: UNN/2026-rff_mp#319
This commit is contained in:
commit
828eac11fa
36
famutdinovmd/.gitignore
vendored
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36
famutdinovmd/.gitignore
vendored
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@ -0,0 +1,36 @@
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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env/
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venv/
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ENV/
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Project specific
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experiment_results.csv
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experiment_results.png
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*.log
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61
famutdinovmd/builders.py
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61
famutdinovmd/builders.py
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@ -0,0 +1,61 @@
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from abc import ABC, abstractmethod
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from models import Cell, Maze
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class MazeBuilder(ABC):
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"""Абстрактный строитель лабиринта"""
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@abstractmethod
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def build_from_file(self, filename: str) -> Maze:
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"""Построить лабиринт из файла"""
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pass
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class TextFileMazeBuilder(MazeBuilder):
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"""Строитель лабиринта из текстового файла"""
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WALL_CHAR = '#'
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START_CHAR = 'S'
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EXIT_CHAR = 'E'
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PASS_CHAR = ' '
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def build_from_file(self, filename: str) -> Maze:
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"""Читает текстовый файл и создаёт лабиринт"""
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with open(filename, 'r', encoding='utf-8') as f:
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lines = [line.rstrip('\n') for line in f.readlines()]
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if not lines:
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raise ValueError("Файл с лабиринтом пуст")
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height = len(lines)
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width = max(len(line) for line in lines)
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maze = Maze(width, height)
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for y, line in enumerate(lines):
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for x, ch in enumerate(line):
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if x >= width:
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continue
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cell = Cell(x, y)
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if ch == self.WALL_CHAR:
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cell.is_wall = True
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elif ch == self.START_CHAR:
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cell.is_start = True
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elif ch == self.EXIT_CHAR:
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cell.is_exit = True
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elif ch == self.PASS_CHAR:
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pass # проходимая клетка (всё уже настроено)
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else:
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cell.is_wall = True # неизвестный символ считаем стеной
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maze.set_cell(x, y, cell)
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# Валидация
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if maze.start is None:
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raise ValueError("В лабиринте нет стартовой клетки (S)")
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if maze.exit is None:
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raise ValueError("В лабиринте нет выхода (E)")
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return maze
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71
famutdinovmd/commands.py
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71
famutdinovmd/commands.py
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@ -0,0 +1,71 @@
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from abc import ABC, abstractmethod
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from typing import Optional
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from models import Cell, Maze
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class Player:
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"""Игрок, перемещающийся по лабиринту"""
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def __init__(self, start_cell: Cell):
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self.current_cell = start_cell
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def move_to(self, new_cell: Cell) -> None:
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"""Перемещает игрока в новую клетку"""
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self.current_cell = new_cell
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class Command(ABC):
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"""Абстрактная команда"""
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@abstractmethod
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def execute(self) -> bool:
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"""Выполняет команду"""
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pass
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@abstractmethod
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def undo(self) -> None:
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"""Отменяет команду"""
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pass
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class MoveCommand(Command):
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"""Команда перемещения игрока"""
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def __init__(self, player: Player, maze: Maze, direction: str):
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self.player = player
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self.maze = maze
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self.direction = direction
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self.previous_cell: Optional[Cell] = None
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self.new_cell: Optional[Cell] = None
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def _get_target_cell(self) -> Optional[Cell]:
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"""Возвращает целевую клетку в зависимости от направления"""
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x, y = self.player.current_cell.x, self.player.current_cell.y
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if self.direction == 'w':
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y -= 1
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elif self.direction == 's':
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y += 1
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elif self.direction == 'a':
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x -= 1
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elif self.direction == 'd':
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x += 1
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else:
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return None
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return self.maze.get_cell(x, y)
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def execute(self) -> bool:
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"""Выполняет перемещение"""
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self.previous_cell = self.player.current_cell
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self.new_cell = self._get_target_cell()
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if self.new_cell and self.new_cell.is_passable():
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self.player.move_to(self.new_cell)
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return True
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return False
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def undo(self) -> None:
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"""Отменяет перемещение"""
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if self.previous_cell:
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self.player.move_to(self.previous_cell)
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100
famutdinovmd/experiments.py
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100
famutdinovmd/experiments.py
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@ -0,0 +1,100 @@
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import csv
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import time
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from typing import List, Dict
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from models import Maze
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from builders import TextFileMazeBuilder
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from strategies import BFSStrategy, DFSStrategy, AStarStrategy
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from solver import MazeSolver
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def run_experiment(maze: Maze, strategy_name: str, strategy, repeats: int = 5) -> Dict:
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"""Запускает эксперимент для одной стратегии"""
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times = []
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visited_counts = []
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path_lengths = []
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path_found = True
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for _ in range(repeats):
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solver = MazeSolver(maze, strategy)
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path, stats = solver.solve()
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times.append(stats.time_ms)
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visited_counts.append(stats.visited_cells)
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path_lengths.append(stats.path_length)
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path_found = stats.path_found
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return {
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'strategy': strategy_name,
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'time_mean': sum(times) / len(times),
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'time_min': min(times),
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'time_max': max(times),
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'visited_mean': sum(visited_counts) / len(visited_counts),
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'path_length_mean': sum(path_lengths) / len(path_lengths) if path_found else 0,
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'path_found': path_found
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}
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def run_all_experiments(maze_files: List[str], repeats: int = 5) -> List[Dict]:
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"""Запускает эксперименты для всех лабиринтов и стратегий"""
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builder = TextFileMazeBuilder()
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strategies = [
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('BFS', BFSStrategy()),
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('DFS', DFSStrategy()),
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('A*', AStarStrategy())
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]
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results = []
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for maze_file in maze_files:
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try:
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maze = builder.build_from_file(maze_file)
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except (ValueError, FileNotFoundError) as e:
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print(f"❌ Ошибка: {e}")
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continue
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print(f"\n📊 Лабиринт: {maze_file}")
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print(f" Размер: {maze.width}×{maze.height}")
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print(f" Старт: ({maze.start.x}, {maze.start.y})")
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print(f" Выход: ({maze.exit.x}, {maze.exit.y})")
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for strategy_name, strategy in strategies:
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print(f" 🧪 Тестирование: {strategy_name}")
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result = run_experiment(maze, strategy_name, strategy, repeats)
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result['maze_file'] = maze_file.split('/')[-1]
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result['maze_size'] = f"{maze.width}×{maze.height}"
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results.append(result)
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status = "✅" if result['path_found'] else "❌"
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print(f" {status} Время: {result['time_mean']:.2f} мс, "
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f"Посещено: {result['visited_mean']:.0f}, "
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f"Путь: {result['path_length_mean']:.0f}")
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return results
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def save_results_to_csv(results: List[Dict], filename: str = "experiment_results.csv") -> None:
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"""Сохраняет результаты в CSV файл"""
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with open(filename, 'w', newline='', encoding='utf-8') as f:
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writer = csv.DictWriter(f, fieldnames=[
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'maze_file', 'maze_size', 'strategy',
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'time_mean', 'time_min', 'time_max',
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'visited_mean', 'path_length_mean', 'path_found'
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])
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writer.writeheader()
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writer.writerows(results)
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print(f"\n💾 Результаты сохранены в {filename}")
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def print_results_table(results: List[Dict]) -> None:
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"""Выводит результаты в виде таблицы"""
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print("\n" + "=" * 80)
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print("РЕЗУЛЬТАТЫ ЭКСПЕРИМЕНТОВ")
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print("=" * 80)
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for res in results:
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print(f"\n📁 Лабиринт: {res['maze_file']}")
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print(f" 📐 Размер: {res['maze_size']}")
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print(f" 🎯 Стратегия: {res['strategy']}")
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print(f" ⏱️ Время (ср): {res['time_mean']:.2f} мс")
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print(f" 📍 Посещено: {res['visited_mean']:.0f} клеток")
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print(f" 🛤️ Длина пути: {res['path_length_mean']:.0f}")
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182
famutdinovmd/main.py
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182
famutdinovmd/main.py
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@ -0,0 +1,182 @@
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import os
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from builders import TextFileMazeBuilder
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from strategies import BFSStrategy, DFSStrategy, AStarStrategy
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from solver import MazeSolver
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from observers import ConsoleView
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from commands import Player
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from experiments import run_all_experiments, save_results_to_csv, print_results_table
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def create_test_mazes():
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"""Создаёт тестовые лабиринты в папке mazes/"""
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os.makedirs("mazes", exist_ok=True)
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# Маленький лабиринт 10×10
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small = """##########
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#S #
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# ### ## #
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# # #
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### # ####
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# # #
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# ### # #
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# # #
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# # E#
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##########"""
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# Средний лабиринт 20×11
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medium = """####################
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#S #
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# # # # # # # # # #
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# #
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# # # # # # # # # #
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# #
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# # # # # # # # # #
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# #
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# # # # # # # # # #
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# E#
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####################"""
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# Большой лабиринт 30×15
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large = """##############################
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#S #
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# # # # # # # # # # # # # # #
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# #
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||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
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# E#
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##############################"""
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# Пустой лабиринт (без стен)
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empty = "S" + " " * 28 + "E"
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# Лабиринт без выхода
|
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no_exit = """#######
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||||
#S #
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# ### #
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||||
# # #
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#######"""
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||||
|
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# Сохранение файлов
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with open("mazes/small.txt", "w") as f:
|
||||
f.write(small)
|
||||
with open("mazes/medium.txt", "w") as f:
|
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f.write(medium)
|
||||
with open("mazes/large.txt", "w") as f:
|
||||
f.write(large)
|
||||
with open("mazes/empty.txt", "w") as f:
|
||||
f.write(empty)
|
||||
with open("mazes/no_exit.txt", "w") as f:
|
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f.write(no_exit)
|
||||
|
||||
print("✅ Тестовые лабиринты созданы в папке 'mazes/'")
|
||||
|
||||
|
||||
def demo_maze_solver():
|
||||
"""Демонстрация работы MazeSolver с разными стратегиями"""
|
||||
print("\n" + "=" * 60)
|
||||
print("ДЕМОНСТРАЦИЯ РАБОТЫ MAZE SOLVER")
|
||||
print("=" * 60)
|
||||
|
||||
builder = TextFileMazeBuilder()
|
||||
view = ConsoleView()
|
||||
|
||||
try:
|
||||
maze = builder.build_from_file("mazes/small.txt")
|
||||
view.update("maze_loaded", {"maze": maze})
|
||||
|
||||
strategies = [
|
||||
("BFS", BFSStrategy(), "BFS (поиск в ширину)"),
|
||||
("DFS", DFSStrategy(), "DFS (поиск в глубину)"),
|
||||
("A*", AStarStrategy(), "A* (A-star поиск)")
|
||||
]
|
||||
|
||||
for name, strategy, description in strategies:
|
||||
print(f"\n--- {description} ---")
|
||||
solver = MazeSolver(maze, strategy)
|
||||
view.update("search_start", {"algorithm": description})
|
||||
|
||||
path, stats = solver.solve()
|
||||
|
||||
if stats.path_found:
|
||||
view.update("path_found", {"maze": maze, "path": path, "stats": stats})
|
||||
else:
|
||||
view.update("no_path", {"stats": stats})
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Ошибка: {e}")
|
||||
|
||||
|
||||
def demo_player_controls():
|
||||
"""Демонстрация управления игроком (Command + Observer)"""
|
||||
print("\n" + "=" * 60)
|
||||
print("ДЕМОНСТРАЦИЯ УПРАВЛЕНИЯ (Command + Observer)")
|
||||
print("=" * 60)
|
||||
|
||||
builder = TextFileMazeBuilder()
|
||||
view = ConsoleView()
|
||||
|
||||
try:
|
||||
maze = builder.build_from_file("mazes/small.txt")
|
||||
player = Player(maze.start)
|
||||
|
||||
view.update("maze_loaded", {"maze": maze})
|
||||
view.render(maze, player_position=player.current_cell)
|
||||
|
||||
print("\n💡 Для управления игроком в консоли введите W/A/S/D")
|
||||
print(" (это демонстрация работы паттернов Command и Observer)")
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ Ошибка: {e}")
|
||||
|
||||
|
||||
def run_experiments():
|
||||
"""Запуск экспериментов для сравнения алгоритмов"""
|
||||
print("\n" + "=" * 60)
|
||||
print("ЭКСПЕРИМЕНТАЛЬНОЕ СРАВНЕНИЕ АЛГОРИТМОВ")
|
||||
print("=" * 60)
|
||||
|
||||
maze_files = [
|
||||
"mazes/small.txt",
|
||||
"mazes/medium.txt",
|
||||
"mazes/large.txt",
|
||||
"mazes/empty.txt",
|
||||
"mazes/no_exit.txt"
|
||||
]
|
||||
|
||||
results = run_all_experiments(maze_files, repeats=5)
|
||||
save_results_to_csv(results)
|
||||
print_results_table(results)
|
||||
|
||||
|
||||
def main():
|
||||
"""Главная функция"""
|
||||
print("=" * 60)
|
||||
print("🎯 ОБЪЕКТНО-ОРИЕНТИРОВАННАЯ РЕАЛИЗАЦИЯ ПОИСКА В ЛАБИРИНТЕ")
|
||||
print("📚 Применённые паттерны: Builder, Strategy, Observer, Command")
|
||||
print("=" * 60)
|
||||
|
||||
# Создание тестовых лабиринтов
|
||||
create_test_mazes()
|
||||
|
||||
# Демонстрация работы
|
||||
demo_maze_solver()
|
||||
demo_player_controls()
|
||||
|
||||
# Эксперименты
|
||||
run_experiments()
|
||||
|
||||
print("\n" + "=" * 60)
|
||||
print("✅ Программа завершена!")
|
||||
print("📊 Для построения графиков запустите: python visualize.py")
|
||||
print("=" * 60)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
1
famutdinovmd/mazes/empty.txt
Normal file
1
famutdinovmd/mazes/empty.txt
Normal file
|
|
@ -0,0 +1 @@
|
|||
S E
|
||||
15
famutdinovmd/mazes/large.txt
Normal file
15
famutdinovmd/mazes/large.txt
Normal file
|
|
@ -0,0 +1,15 @@
|
|||
##############################
|
||||
#S #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # # # # # # #
|
||||
# E#
|
||||
##############################
|
||||
11
famutdinovmd/mazes/medium.txt
Normal file
11
famutdinovmd/mazes/medium.txt
Normal file
|
|
@ -0,0 +1,11 @@
|
|||
####################
|
||||
#S #
|
||||
# # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # #
|
||||
# #
|
||||
# # # # # # # # # #
|
||||
# E#
|
||||
####################
|
||||
5
famutdinovmd/mazes/no_exit.txt
Normal file
5
famutdinovmd/mazes/no_exit.txt
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
#######
|
||||
#S #
|
||||
# ### #
|
||||
# # #
|
||||
#######
|
||||
10
famutdinovmd/mazes/small.txt
Normal file
10
famutdinovmd/mazes/small.txt
Normal file
|
|
@ -0,0 +1,10 @@
|
|||
##########
|
||||
#S #
|
||||
# ### ## #
|
||||
# # #
|
||||
### # ####
|
||||
# # #
|
||||
# ### # #
|
||||
# # #
|
||||
# # E#
|
||||
##########
|
||||
86
famutdinovmd/models.py
Normal file
86
famutdinovmd/models.py
Normal file
|
|
@ -0,0 +1,86 @@
|
|||
from typing import List, Optional
|
||||
|
||||
|
||||
class Cell:
|
||||
"""Клетка лабиринта"""
|
||||
|
||||
def __init__(self, x: int, y: int):
|
||||
self.x = x
|
||||
self.y = y
|
||||
self.is_wall = False
|
||||
self.is_start = False
|
||||
self.is_exit = False
|
||||
|
||||
def is_passable(self) -> bool:
|
||||
"""Проверяет, можно ли пройти через клетку"""
|
||||
return not self.is_wall
|
||||
|
||||
def __eq__(self, other) -> bool:
|
||||
if not isinstance(other, Cell):
|
||||
return False
|
||||
return self.x == other.x and self.y == other.y
|
||||
|
||||
def __hash__(self):
|
||||
return hash((self.x, self.y))
|
||||
|
||||
def __repr__(self):
|
||||
return f"Cell({self.x}, {self.y})"
|
||||
|
||||
|
||||
class Maze:
|
||||
"""Лабиринт (сетка клеток)"""
|
||||
|
||||
def __init__(self, width: int, height: int):
|
||||
self.width = width
|
||||
self.height = height
|
||||
self._cells: List[List[Optional[Cell]]] = [[None for _ in range(width)] for _ in range(height)]
|
||||
self.start: Optional[Cell] = None
|
||||
self.exit: Optional[Cell] = None
|
||||
|
||||
def set_cell(self, x: int, y: int, cell: Cell) -> None:
|
||||
"""Устанавливает клетку в указанные координаты"""
|
||||
if 0 <= x < self.width and 0 <= y < self.height:
|
||||
self._cells[y][x] = cell
|
||||
if cell.is_start:
|
||||
self.start = cell
|
||||
if cell.is_exit:
|
||||
self.exit = cell
|
||||
|
||||
def get_cell(self, x: int, y: int) -> Optional[Cell]:
|
||||
"""Возвращает клетку по координатам"""
|
||||
if 0 <= x < self.width and 0 <= y < self.height:
|
||||
return self._cells[y][x]
|
||||
return None
|
||||
|
||||
def get_neighbors(self, cell: Cell) -> List[Cell]:
|
||||
"""Возвращает список соседних проходимых клеток"""
|
||||
neighbors = []
|
||||
directions = [(0, -1), (0, 1), (-1, 0), (1, 0)] # вверх, вниз, влево, вправо
|
||||
|
||||
for dx, dy in directions:
|
||||
nx, ny = cell.x + dx, cell.y + dy
|
||||
neighbor = self.get_cell(nx, ny)
|
||||
if neighbor and neighbor.is_passable():
|
||||
neighbors.append(neighbor)
|
||||
|
||||
return neighbors
|
||||
|
||||
def __str__(self) -> str:
|
||||
"""Строковое представление лабиринта"""
|
||||
result = []
|
||||
for y in range(self.height):
|
||||
row = []
|
||||
for x in range(self.width):
|
||||
cell = self.get_cell(x, y)
|
||||
if cell is None:
|
||||
row.append('?')
|
||||
elif cell.is_start:
|
||||
row.append('S')
|
||||
elif cell.is_exit:
|
||||
row.append('E')
|
||||
elif cell.is_wall:
|
||||
row.append('#')
|
||||
else:
|
||||
row.append(' ')
|
||||
result.append(''.join(row))
|
||||
return '\n'.join(result)
|
||||
73
famutdinovmd/observers.py
Normal file
73
famutdinovmd/observers.py
Normal file
|
|
@ -0,0 +1,73 @@
|
|||
from abc import ABC, abstractmethod
|
||||
from typing import List, Optional
|
||||
from models import Cell, Maze
|
||||
|
||||
|
||||
class Observer(ABC):
|
||||
"""Абстрактный наблюдатель"""
|
||||
|
||||
@abstractmethod
|
||||
def update(self, event: str, data: dict) -> None:
|
||||
"""Обработка события"""
|
||||
pass
|
||||
|
||||
|
||||
class ConsoleView(Observer):
|
||||
"""Консольная визуализация лабиринта"""
|
||||
|
||||
def render(self, maze: Maze, player_position: Optional[Cell] = None,
|
||||
path: Optional[List[Cell]] = None) -> None:
|
||||
"""Отрисовывает лабиринт в консоли"""
|
||||
path_set = set(path) if path else set()
|
||||
|
||||
print("\n+" + "-" * maze.width + "+")
|
||||
|
||||
for y in range(maze.height):
|
||||
row = []
|
||||
for x in range(maze.width):
|
||||
cell = maze.get_cell(x, y)
|
||||
if cell is None:
|
||||
row.append('?')
|
||||
elif player_position and cell == player_position:
|
||||
row.append('@')
|
||||
elif cell.is_start:
|
||||
row.append('S')
|
||||
elif cell.is_exit:
|
||||
row.append('E')
|
||||
elif cell in path_set:
|
||||
row.append('*')
|
||||
elif cell.is_wall:
|
||||
row.append('#')
|
||||
else:
|
||||
row.append(' ')
|
||||
print("|" + ''.join(row) + "|")
|
||||
|
||||
print("+" + "-" * maze.width + "+")
|
||||
|
||||
def update(self, event: str, data: dict) -> None:
|
||||
"""Обработка событий от MazeSolver"""
|
||||
if event == "maze_loaded":
|
||||
maze = data.get('maze')
|
||||
print("\n📦 Лабиринт загружен:")
|
||||
self.render(maze)
|
||||
|
||||
elif event == "search_start":
|
||||
algorithm = data.get('algorithm', 'Unknown')
|
||||
print(f"\n🔍 Начинаем поиск алгоритмом: {algorithm}")
|
||||
|
||||
elif event == "path_found":
|
||||
maze = data.get('maze')
|
||||
path = data.get('path')
|
||||
stats = data.get('stats')
|
||||
print(f"\n✅ Путь найден! {stats}")
|
||||
self.render(maze, path=path)
|
||||
|
||||
elif event == "no_path":
|
||||
stats = data.get('stats')
|
||||
print(f"\n❌ {stats}")
|
||||
|
||||
elif event == "player_moved":
|
||||
maze = data.get('maze')
|
||||
player = data.get('player')
|
||||
if player:
|
||||
self.render(maze, player_position=player.current_cell)
|
||||
308
famutdinovmd/report.md
Normal file
308
famutdinovmd/report.md
Normal file
|
|
@ -0,0 +1,308 @@
|
|||
# Отчёт по лабораторной работе №2
|
||||
## Поиск выхода из лабиринта (объектно-ориентированная реализация с паттернами)
|
||||
|
||||
---
|
||||
|
||||
## 1. Описание задачи
|
||||
|
||||
Разработать программу для поиска выхода из лабиринта с возможностью выбора алгоритма поиска, визуализации процесса и экспериментального сравнения алгоритмов. Программа должна загружать лабиринт из текстового файла, поддерживать алгоритмы BFS, DFS, A* и использовать паттерны проектирования GoF.
|
||||
|
||||
---
|
||||
|
||||
## 2. Выбранные паттерны
|
||||
|
||||
### 2.1 Builder (Строитель)
|
||||
**Где:** `TextFileMazeBuilder`
|
||||
**Зачем:** Сокрытие сложности создания лабиринта из файла
|
||||
**Преимущество:** Легко добавить новый формат (JSON, XML)
|
||||
|
||||
### 2.2 Strategy (Стратегия)
|
||||
**Где:** `BFSStrategy`, `DFSStrategy`, `AStarStrategy`
|
||||
**Зачем:** Возможность переключения алгоритмов во время выполнения
|
||||
**Преимущество:** Новый алгоритм добавляется без изменения кода
|
||||
|
||||
### 2.3 Observer (Наблюдатель)
|
||||
**Где:** `ConsoleView`
|
||||
**Зачем:** Отделение визуализации от логики поиска
|
||||
**Преимущество:** Можно добавить GUI без изменения MazeSolver
|
||||
|
||||
### 2.4 Command (Команда)
|
||||
**Где:** `MoveCommand`, `Player`
|
||||
**Зачем:** Поддержка отмены действий при ручном управлении
|
||||
**Преимущество:** История действий и возможность Undo
|
||||
|
||||
---
|
||||
|
||||
## 3. Диаграмма классов (Mermaid)
|
||||
|
||||
```python
|
||||
classDiagram
|
||||
class Maze {
|
||||
-width, height
|
||||
-_cells[][]
|
||||
-start, exit
|
||||
+get_cell(x,y)
|
||||
+get_neighbors(cell)
|
||||
}
|
||||
|
||||
class Cell {
|
||||
-x, y
|
||||
-is_wall
|
||||
-is_start
|
||||
-is_exit
|
||||
+is_passable()
|
||||
}
|
||||
|
||||
class MazeBuilder {
|
||||
<<interface>>
|
||||
+build_from_file(filename)
|
||||
}
|
||||
|
||||
class TextFileMazeBuilder {
|
||||
+build_from_file(filename)
|
||||
}
|
||||
|
||||
class PathFindingStrategy {
|
||||
<<interface>>
|
||||
+find_path(maze, start, exit)
|
||||
}
|
||||
|
||||
class BFSStrategy
|
||||
class DFSStrategy
|
||||
class AStarStrategy
|
||||
|
||||
class MazeSolver {
|
||||
-maze
|
||||
-strategy
|
||||
+set_strategy()
|
||||
+solve()
|
||||
}
|
||||
|
||||
class Observer {
|
||||
<<interface>>
|
||||
+update(event, data)
|
||||
}
|
||||
|
||||
class ConsoleView {
|
||||
+render(maze, path)
|
||||
+update(event, data)
|
||||
}
|
||||
|
||||
class Command {
|
||||
<<interface>>
|
||||
+execute()
|
||||
+undo()
|
||||
}
|
||||
|
||||
class MoveCommand {
|
||||
-player
|
||||
-direction
|
||||
+execute()
|
||||
+undo()
|
||||
}
|
||||
|
||||
MazeBuilder <|.. TextFileMazeBuilder
|
||||
PathFindingStrategy <|.. BFSStrategy
|
||||
PathFindingStrategy <|.. DFSStrategy
|
||||
PathFindingStrategy <|.. AStarStrategy
|
||||
MazeSolver --> PathFindingStrategy
|
||||
Observer <|.. ConsoleView
|
||||
Command <|.. MoveCommand
|
||||
|
||||
class TextFileMazeBuilder(MazeBuilder):
|
||||
WALL_CHAR = '#'
|
||||
START_CHAR = 'S'
|
||||
EXIT_CHAR = 'E'
|
||||
|
||||
def build_from_file(self, filename: str) -> Maze:
|
||||
with open(filename, 'r', encoding='utf-8') as f:
|
||||
lines = [line.rstrip('\n') for line in f.readlines()]
|
||||
|
||||
height = len(lines)
|
||||
width = max(len(line) for line in lines)
|
||||
maze = Maze(width, height)
|
||||
|
||||
for y, line in enumerate(lines):
|
||||
for x, ch in enumerate(line):
|
||||
if x >= width:
|
||||
continue
|
||||
cell = Cell(x, y)
|
||||
if ch == self.WALL_CHAR:
|
||||
cell.is_wall = True
|
||||
elif ch == self.START_CHAR:
|
||||
cell.is_start = True
|
||||
elif ch == self.EXIT_CHAR:
|
||||
cell.is_exit = True
|
||||
maze.set_cell(x, y, cell)
|
||||
|
||||
if maze.start is None:
|
||||
raise ValueError("Нет стартовой клетки (S)")
|
||||
if maze.exit is None:
|
||||
raise ValueError("Нет выхода (E)")
|
||||
|
||||
return maze
|
||||
class TextFileMazeBuilder(MazeBuilder):
|
||||
WALL_CHAR = '#'
|
||||
START_CHAR = 'S'
|
||||
EXIT_CHAR = 'E'
|
||||
|
||||
def build_from_file(self, filename: str) -> Maze:
|
||||
with open(filename, 'r', encoding='utf-8') as f:
|
||||
lines = [line.rstrip('\n') for line in f.readlines()]
|
||||
|
||||
height = len(lines)
|
||||
width = max(len(line) for line in lines)
|
||||
maze = Maze(width, height)
|
||||
|
||||
for y, line in enumerate(lines):
|
||||
for x, ch in enumerate(line):
|
||||
if x >= width:
|
||||
continue
|
||||
cell = Cell(x, y)
|
||||
if ch == self.WALL_CHAR:
|
||||
cell.is_wall = True
|
||||
elif ch == self.START_CHAR:
|
||||
cell.is_start = True
|
||||
elif ch == self.EXIT_CHAR:
|
||||
cell.is_exit = True
|
||||
maze.set_cell(x, y, cell)
|
||||
|
||||
if maze.start is None:
|
||||
raise ValueError("Нет стартовой клетки (S)")
|
||||
if maze.exit is None:
|
||||
raise ValueError("Нет выхода (E)")
|
||||
|
||||
return maze
|
||||
class BFSStrategy(PathFindingStrategy):
|
||||
def find_path(self, maze, start, exit_cell):
|
||||
queue = deque([start])
|
||||
visited = {start}
|
||||
parent = {start: None}
|
||||
|
||||
while queue:
|
||||
current = queue.popleft()
|
||||
if current == exit_cell:
|
||||
return self._reconstruct_path(parent, current)
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
if neighbor not in visited:
|
||||
visited.add(neighbor)
|
||||
parent[neighbor] = current
|
||||
queue.append(neighbor)
|
||||
return []
|
||||
|
||||
def _reconstruct_path(self, parent, current):
|
||||
path = []
|
||||
while current:
|
||||
path.append(current)
|
||||
current = parent[current]
|
||||
return list(reversed(path))
|
||||
class DFSStrategy(PathFindingStrategy):
|
||||
def find_path(self, maze, start, exit_cell):
|
||||
stack = [(start, [start])]
|
||||
visited = {start}
|
||||
|
||||
while stack:
|
||||
current, path = stack.pop()
|
||||
if current == exit_cell:
|
||||
return path
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
if neighbor not in visited:
|
||||
visited.add(neighbor)
|
||||
stack.append((neighbor, path + [neighbor]))
|
||||
return []
|
||||
class AStarStrategy(PathFindingStrategy):
|
||||
def _heuristic(self, a, b):
|
||||
return abs(a.x - b.x) + abs(a.y - b.y)
|
||||
|
||||
def find_path(self, maze, start, exit_cell):
|
||||
counter = 0
|
||||
open_set = [(self._heuristic(start, exit_cell), counter, start)]
|
||||
g_score = {start: 0}
|
||||
parent = {start: None}
|
||||
|
||||
while open_set:
|
||||
_, _, current = heappop(open_set)
|
||||
if current == exit_cell:
|
||||
return self._reconstruct_path(parent, current)
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
tentative_g = g_score[current] + 1
|
||||
if neighbor not in g_score or tentative_g < g_score[neighbor]:
|
||||
parent[neighbor] = current
|
||||
g_score[neighbor] = tentative_g
|
||||
counter += 1
|
||||
f = tentative_g + self._heuristic(neighbor, exit_cell)
|
||||
heappush(open_set, (f, counter, neighbor))
|
||||
return []
|
||||
class ConsoleView(Observer):
|
||||
def render(self, maze, path=None):
|
||||
path_set = set(path) if path else set()
|
||||
print("\n+" + "-" * maze.width + "+")
|
||||
for y in range(maze.height):
|
||||
row = []
|
||||
for x in range(maze.width):
|
||||
cell = maze.get_cell(x, y)
|
||||
if cell.is_start:
|
||||
row.append('S')
|
||||
elif cell.is_exit:
|
||||
row.append('E')
|
||||
elif cell in path_set:
|
||||
row.append('*')
|
||||
elif cell.is_wall:
|
||||
row.append('#')
|
||||
else:
|
||||
row.append(' ')
|
||||
print("|" + ''.join(row) + "|")
|
||||
print("+" + "-" * maze.width + "+")
|
||||
|
||||
def update(self, event, data):
|
||||
if event == "maze_loaded":
|
||||
self.render(data.get('maze'))
|
||||
elif event == "path_found":
|
||||
self.render(data.get('maze'), data.get('path'))
|
||||
class MoveCommand(Command):
|
||||
def __init__(self, player, maze, direction):
|
||||
self.player = player
|
||||
self.maze = maze
|
||||
self.direction = direction
|
||||
self.previous_cell = None
|
||||
|
||||
def execute(self):
|
||||
self.previous_cell = self.player.current_cell
|
||||
dx, dy = self.direction
|
||||
new_cell = self.maze.get_cell(
|
||||
self.player.current_cell.x + dx,
|
||||
self.player.current_cell.y + dy
|
||||
)
|
||||
if new_cell and new_cell.is_passable():
|
||||
self.player.move_to(new_cell)
|
||||
return True
|
||||
return False
|
||||
|
||||
def undo(self):
|
||||
if self.previous_cell:
|
||||
self.player.move_to(self.previous_cell)
|
||||
class MazeSolver:
|
||||
def __init__(self, maze, strategy=None):
|
||||
self.maze = maze
|
||||
self._strategy = strategy
|
||||
|
||||
def set_strategy(self, strategy):
|
||||
self._strategy = strategy
|
||||
|
||||
def solve(self):
|
||||
if not self._strategy:
|
||||
raise ValueError("Стратегия не установлена")
|
||||
|
||||
start_time = time.perf_counter()
|
||||
path = self._strategy.find_path(self.maze, self.maze.start, self.maze.exit)
|
||||
end_time = time.perf_counter()
|
||||
|
||||
stats = SearchStats(
|
||||
time_ms=(end_time - start_time) * 1000,
|
||||
visited_cells=len(path) if path else 0,
|
||||
path_length=len(path) if path else 0,
|
||||
path_found=bool(path)
|
||||
)
|
||||
return path, stats
|
||||
|
||||
|
||||
3
famutdinovmd/requirements.txt
Normal file
3
famutdinovmd/requirements.txt
Normal file
|
|
@ -0,0 +1,3 @@
|
|||
matplotlib>=3.5.0
|
||||
pandas>=1.5.0
|
||||
numpy>=1.21.0
|
||||
53
famutdinovmd/solver.py
Normal file
53
famutdinovmd/solver.py
Normal file
|
|
@ -0,0 +1,53 @@
|
|||
import time
|
||||
from dataclasses import dataclass
|
||||
from typing import List, Optional, Tuple
|
||||
from models import Cell, Maze
|
||||
from strategies import PathFindingStrategy
|
||||
|
||||
|
||||
@dataclass
|
||||
class SearchStats:
|
||||
"""Статистика поиска"""
|
||||
time_ms: float
|
||||
visited_cells: int
|
||||
path_length: int
|
||||
path_found: bool = True
|
||||
|
||||
def __str__(self) -> str:
|
||||
if not self.path_found:
|
||||
return f"Путь не найден (время: {self.time_ms:.2f} мс)"
|
||||
return (f"Время: {self.time_ms:.2f} мс, "
|
||||
f"Посещено клеток: {self.visited_cells}, "
|
||||
f"Длина пути: {self.path_length}")
|
||||
|
||||
|
||||
class MazeSolver:
|
||||
"""Оркестратор решения лабиринта"""
|
||||
|
||||
def __init__(self, maze: Maze, strategy: Optional[PathFindingStrategy] = None):
|
||||
self.maze = maze
|
||||
self._strategy = strategy
|
||||
|
||||
def set_strategy(self, strategy: PathFindingStrategy) -> None:
|
||||
"""Устанавливает стратегию поиска"""
|
||||
self._strategy = strategy
|
||||
|
||||
def solve(self) -> Tuple[List[Cell], SearchStats]:
|
||||
"""Выполняет поиск пути с текущей стратегией"""
|
||||
if self._strategy is None:
|
||||
raise ValueError("Стратегия не установлена")
|
||||
|
||||
start_time = time.perf_counter()
|
||||
path = self._strategy.find_path(self.maze, self.maze.start, self.maze.exit)
|
||||
end_time = time.perf_counter()
|
||||
|
||||
time_ms = (end_time - start_time) * 1000
|
||||
|
||||
stats = SearchStats(
|
||||
time_ms=time_ms,
|
||||
visited_cells=len(path) if path else 0,
|
||||
path_length=len(path) if path else 0,
|
||||
path_found=bool(path)
|
||||
)
|
||||
|
||||
return path, stats
|
||||
107
famutdinovmd/strategies.py
Normal file
107
famutdinovmd/strategies.py
Normal file
|
|
@ -0,0 +1,107 @@
|
|||
from abc import ABC, abstractmethod
|
||||
from collections import deque
|
||||
from heapq import heappush, heappop
|
||||
from typing import List, Dict, Optional
|
||||
from models import Cell, Maze
|
||||
|
||||
|
||||
class PathFindingStrategy(ABC):
|
||||
"""Абстрактная стратегия поиска пути"""
|
||||
|
||||
@abstractmethod
|
||||
def find_path(self, maze: Maze, start: Cell, exit_cell: Cell) -> List[Cell]:
|
||||
"""Находит путь от start до exit_cell"""
|
||||
pass
|
||||
|
||||
|
||||
class BFSStrategy(PathFindingStrategy):
|
||||
"""Поиск в ширину (BFS) - гарантирует кратчайший путь"""
|
||||
|
||||
def find_path(self, maze: Maze, start: Cell, exit_cell: Cell) -> List[Cell]:
|
||||
queue = deque([start])
|
||||
visited = {start}
|
||||
parent: Dict[Cell, Optional[Cell]] = {start: None}
|
||||
|
||||
while queue:
|
||||
current = queue.popleft()
|
||||
|
||||
if current == exit_cell:
|
||||
return self._reconstruct_path(parent, current)
|
||||
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
if neighbor not in visited:
|
||||
visited.add(neighbor)
|
||||
parent[neighbor] = current
|
||||
queue.append(neighbor)
|
||||
|
||||
return [] # Путь не найден
|
||||
|
||||
def _reconstruct_path(self, parent: Dict[Cell, Optional[Cell]], current: Cell) -> List[Cell]:
|
||||
"""Восстанавливает путь от start до current"""
|
||||
path = []
|
||||
while current is not None:
|
||||
path.append(current)
|
||||
current = parent.get(current)
|
||||
return list(reversed(path))
|
||||
|
||||
|
||||
class DFSStrategy(PathFindingStrategy):
|
||||
"""Поиск в глубину (DFS) - быстрый, но не обязательно кратчайший"""
|
||||
|
||||
def find_path(self, maze: Maze, start: Cell, exit_cell: Cell) -> List[Cell]:
|
||||
stack = [(start, [start])]
|
||||
visited = {start}
|
||||
|
||||
while stack:
|
||||
current, path = stack.pop()
|
||||
|
||||
if current == exit_cell:
|
||||
return path
|
||||
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
if neighbor not in visited:
|
||||
visited.add(neighbor)
|
||||
stack.append((neighbor, path + [neighbor]))
|
||||
|
||||
return []
|
||||
|
||||
|
||||
class AStarStrategy(PathFindingStrategy):
|
||||
"""A* поиск - оптимальный баланс скорости и кратчайшего пути"""
|
||||
|
||||
def _heuristic(self, cell: Cell, exit_cell: Cell) -> int:
|
||||
"""Манхэттенское расстояние (эвристика)"""
|
||||
return abs(cell.x - exit_cell.x) + abs(cell.y - exit_cell.y)
|
||||
|
||||
def find_path(self, maze: Maze, start: Cell, exit_cell: Cell) -> List[Cell]:
|
||||
counter = 0 # для разрешения конфликтов в куче
|
||||
open_set = [(self._heuristic(start, exit_cell), counter, start)]
|
||||
|
||||
g_score: Dict[Cell, float] = {start: 0}
|
||||
parent: Dict[Cell, Optional[Cell]] = {start: None}
|
||||
|
||||
while open_set:
|
||||
_, _, current = heappop(open_set)
|
||||
|
||||
if current == exit_cell:
|
||||
return self._reconstruct_path(parent, current)
|
||||
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
tentative_g = g_score[current] + 1
|
||||
|
||||
if neighbor not in g_score or tentative_g < g_score[neighbor]:
|
||||
parent[neighbor] = current
|
||||
g_score[neighbor] = tentative_g
|
||||
counter += 1
|
||||
f = tentative_g + self._heuristic(neighbor, exit_cell)
|
||||
heappush(open_set, (f, counter, neighbor))
|
||||
|
||||
return []
|
||||
|
||||
def _reconstruct_path(self, parent: Dict[Cell, Optional[Cell]], current: Cell) -> List[Cell]:
|
||||
"""Восстанавливает путь от start до current"""
|
||||
path = []
|
||||
while current is not None:
|
||||
path.append(current)
|
||||
current = parent.get(current)
|
||||
return list(reversed(path))
|
||||
88
famutdinovmd/visualize.py
Normal file
88
famutdinovmd/visualize.py
Normal file
|
|
@ -0,0 +1,88 @@
|
|||
import pandas as pd
|
||||
import matplotlib.pyplot as plt
|
||||
import numpy as np
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def plot_results(csv_file='experiment_results.csv'):
|
||||
"""Строит графики сравнения алгоритмов"""
|
||||
|
||||
if not Path(csv_file).exists():
|
||||
print(f"❌ {csv_file} не найден. Сначала запустите main.py")
|
||||
return
|
||||
|
||||
# Загрузка данных
|
||||
df = pd.read_csv(csv_file)
|
||||
df = df[df['path_found'] == True]
|
||||
|
||||
if df.empty:
|
||||
print("❌ Нет данных для графиков")
|
||||
return
|
||||
|
||||
# Подготовка данных
|
||||
mazes = [m.replace('.txt', '') for m in df['maze_file'].unique()]
|
||||
strategies = df['strategy'].unique()
|
||||
|
||||
# Создание графиков
|
||||
fig, axes = plt.subplots(1, 3, figsize=(15, 5))
|
||||
fig.suptitle('Сравнение алгоритмов поиска в лабиринте',
|
||||
fontsize=14, fontweight='bold')
|
||||
|
||||
x = np.arange(len(mazes))
|
||||
width = 0.25
|
||||
colors = {'BFS': '#3498db', 'DFS': '#2ecc71', 'A*': '#e74c3c'}
|
||||
|
||||
for i, strategy in enumerate(strategies):
|
||||
times, visited, lengths = [], [], []
|
||||
|
||||
for maze in df['maze_file'].unique():
|
||||
data = df[(df['strategy'] == strategy) & (df['maze_file'] == maze)]
|
||||
if not data.empty:
|
||||
times.append(data['time_mean'].values[0])
|
||||
visited.append(data['visited_mean'].values[0])
|
||||
lengths.append(data['path_length_mean'].values[0])
|
||||
else:
|
||||
times.append(0)
|
||||
visited.append(0)
|
||||
lengths.append(0)
|
||||
|
||||
# График времени
|
||||
axes[0].bar(x + i*width, times, width, label=strategy,
|
||||
color=colors.get(strategy, 'gray'), alpha=0.7)
|
||||
|
||||
# График посещённых клеток
|
||||
axes[1].bar(x + i*width, visited, width, label=strategy,
|
||||
color=colors.get(strategy, 'gray'), alpha=0.7)
|
||||
|
||||
# График длины пути
|
||||
axes[2].bar(x + i*width, lengths, width, label=strategy,
|
||||
color=colors.get(strategy, 'gray'), alpha=0.7)
|
||||
|
||||
# Настройка внешнего вида
|
||||
axes[0].set_title('⏱️ Время выполнения (мс)')
|
||||
axes[0].set_xticks(x + width)
|
||||
axes[0].set_xticklabels(mazes, rotation=45, ha='right')
|
||||
axes[0].legend()
|
||||
axes[0].grid(True, alpha=0.3)
|
||||
|
||||
axes[1].set_title('📍 Посещённые клетки')
|
||||
axes[1].set_xticks(x + width)
|
||||
axes[1].set_xticklabels(mazes, rotation=45, ha='right')
|
||||
axes[1].legend()
|
||||
axes[1].grid(True, alpha=0.3)
|
||||
|
||||
axes[2].set_title('🛤️ Длина пути')
|
||||
axes[2].set_xticks(x + width)
|
||||
axes[2].set_xticklabels(mazes, rotation=45, ha='right')
|
||||
axes[2].legend()
|
||||
axes[2].grid(True, alpha=0.3)
|
||||
|
||||
plt.tight_layout()
|
||||
plt.savefig('experiment_results.png', dpi=150, bbox_inches='tight')
|
||||
plt.show()
|
||||
|
||||
print("✅ Графики сохранены в experiment_results.png")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
plot_results()
|
||||
Loading…
Reference in New Issue
Block a user