diff --git a/BorisovMI/lab_2/docs/data/maze.py b/BorisovMI/lab_2/docs/data/maze.py new file mode 100644 index 0000000..46ad99e --- /dev/null +++ b/BorisovMI/lab_2/docs/data/maze.py @@ -0,0 +1,725 @@ +from abc import ABC, abstractclassmethod +from collections import deque +import heapq +import time +import os +import time +import csv +import random +class Cell: + def __init__(self, x, y): + self.x = x + self.y = y + self.isWall = False + self.isStart = False + self.isExit = False + + + def __eq__(self, other): + if other is None: + return False + return self.x == other.x and self.y == other.y + def __lt__(self, other): + + if other is None: + return False + return (self.x, self.y) < (other.x, other.y) + def __hash__(self): + + return hash((self.x, self.y)) + + def __repr__(self): + return f"Cell({self.x}, {self.y})" + def isPassable(self): + return not self.isWall + +class Maze: + def __init__(self, width, height): + self.width = width + self.height = height + self.grid = [[Cell(x, y) for y in range(height)] for x in range(width)] + self.start = None + self.exit = None + + def getCell(self, x, y): + if 0 <= x < self.width and 0 <= y < self.height: + return self.grid[x][y] + return None + + def getNeighbors(self, cell): + neighbors = [] + directions = [(0, 1), (0, -1), (1, 0), (-1, 0)] + for dx, dy in directions: + neighbor = self.getCell(cell.x + dx, cell.y + dy) + if neighbor and neighbor.isPassable(): + neighbors.append(neighbor) + return neighbors + + def setStart(self, x, y): + cell = self.getCell(x, y) + if cell: + cell.isStart = True + self.start = cell + + def setExit(self, x, y): + cell = self.getCell(x, y) + if cell: + cell.isExit = True + self.exit = cell + +class MazeBuilder(ABC): + + def buildFromFile(self, filename): + pass + +class TextileMazeBuilder(MazeBuilder): + def buildFromFile(self, filename): + with open(filename, 'r', encoding='utf-8') as f: + lines = f.readlines() + + + lines = [line.rstrip('\n\r') for line in lines] + + height = len(lines) + width = len(lines[0]) if height > 0 else 0 + + + for line in lines: + if len(line) != width: + raise ValueError("все строки одинаковой длины") + + + maze = Maze(width, height) + + + for y in range(height): + for x in range(width): + char = lines[y][x] + cell = maze.getCell(x, y) + + if char == '#': + cell.isWall = True + elif char == ' ': + cell.isWall = False + elif char == 's': + cell.isWall = False + cell.isStart = True + maze.start = cell + elif char == 'e': + cell.isWall = False + cell.isExit = True + maze.exit = cell + else: + raise ValueError(f"неизв сим") + + + if maze.start is None: + raise ValueError("в лабиринте не найден старт") + if maze.exit is None: + raise ValueError("в лабиринте не найден выход") + + return maze + +class PathFindingStrategy: + def findPath(self, maze, start, exit): + pass + + +class BFSStrategy(PathFindingStrategy): + def findPath(self, maze, start, exit): + if exit is None: + return [] + queue = deque([start]) + visited = {start} + parent = {start: None} + + while queue: + current = queue.popleft() + + if current == exit: + return self._reconstruct_path(parent, start, exit) + + for neighbor in maze.getNeighbors(current): + if neighbor not in visited: + visited.add(neighbor) + parent[neighbor] = current + queue.append(neighbor) + + return [] + + def _reconstruct_path(self, parent, start, exit): + path = [] + current = exit + while current is not None: + path.append(current) + current = parent[current] + path.reverse() + return path + + +class DFSStrategy(PathFindingStrategy): + def findPath(self, maze, start, exit): + if exit is None: + return [] + stack = [start] + visited = {start} + parent = {start: None} + + while stack: + current = stack.pop() + + if current == exit: + return self._reconstruct_path(parent, start, exit) + + for neighbor in maze.getNeighbors(current): + if neighbor not in visited: + visited.add(neighbor) + parent[neighbor] = current + stack.append(neighbor) + + return [] + + def _reconstruct_path(self, parent, start, exit): + path = [] + current = exit + while current is not None: + path.append(current) + current = parent[current] + path.reverse() + return path + + +class AStrategy(PathFindingStrategy): + def _heuristic(self, cell, exit): + if exit is None: + return 0 + return abs(cell.x - exit.x) + abs(cell.y - exit.y) + + def findPath(self, maze, start, exit): + if exit is None: + return [] + open_set = [] + heapq.heappush(open_set, (0, start)) + + came_from = {start: None} + g_score = {start: 0} + + while open_set: + current = heapq.heappop(open_set)[1] + + if current == exit: + return self._reconstruct_path(came_from, start, exit) + + for neighbor in maze.getNeighbors(current): + tentative_g = g_score[current] + 1 + + if neighbor not in g_score or tentative_g < g_score[neighbor]: + came_from[neighbor] = current + g_score[neighbor] = tentative_g + f_score = tentative_g + self._heuristic(neighbor, exit) + heapq.heappush(open_set, (f_score, neighbor)) + + return [] + + def _reconstruct_path(self, came_from, start, exit): + path = [] + current = exit + while current is not None: + path.append(current) + current = came_from[current] + path.reverse() + return path + + +class SearchStats: + def __init__(self, time_ms=0, visited_cells=0, path_length=0): + self.time_ms = time_ms + self.visited_cells = visited_cells + self.path_length = path_length + + def __str__(self): + return f"Время: {self.time_ms:.3f} мс | Посещено: {self.visited_cells} | Длина пути: {self.path_length}" + + +class MazeSolver: + def __init__(self, maze): + self.maze = maze + self.strategy = None + + def setStrategy(self, strategy): + self.strategy = strategy + + def solve(self): + if self.strategy is None: + raise ValueError("Стратегия не установлена") + + + start_time = time.perf_counter() + path = self.strategy.findPath(self.maze, self.maze.start, self.maze.exit) + + end_time = time.perf_counter() + elapsed_ms = (end_time - start_time) * 1000 + + + stats = SearchStats( + time_ms=elapsed_ms, + visited_cells=len(path), + path_length=len(path) + ) + + return path, stats + +class Observer: + def update(self, event): + pass + +class ConsoleView(Observer): + def render(self, maze, player_position=None, path=None): + """отрисовка""" + os.system('cls' if os.name == 'nt' else 'clear') + + path_set = set(path) if path else set() + + for y in range(maze.height): + for x in range(maze.width): + cell = maze.getCell(x, y) + + if player_position and cell == player_position: + print('P', end='') + elif cell == maze.start: + print('S', end='') + elif cell == maze.exit: + print('E', end='') + elif cell in path_set: + print('.', end='') + elif cell.isWall: + print('#', end='') + else: + print(' ', end='') + print() + + def update(self, event): + if event['type'] == 'path_found': + print(f"длина пути {len(event['path'])}") + self.render(event['maze'], path=event['path']) + elif event['type'] == 'move': + print(f"шаг {event['step']}") + self.render(event['maze'], event['player'], event['path']) + elif event['type'] == 'maze_loaded': + print("перегрузка") + self.render(event['maze']) + + +class ObservableMazeSolver: + def __init__(self, maze): + self.maze = maze + self.strategy = None + self.observers = [] + + def attach(self, observer): + self.observers.append(observer) + + def notify(self, event): + for observer in self.observers: + observer.update(event) + + def setStrategy(self, strategy): + self.strategy = strategy + + def solve(self): + if self.strategy is None: + raise ValueError("") + + + path = self.strategy.findPath(self.maze, self.maze.start, self.maze.exit) + + self.notify({ + 'type': 'path_found', + 'maze': self.maze, + 'path': path + }) + + return path + +class Player: + def __init__(self, start_cell): + self.currentCell = start_cell + self.previousCell = None + + def moveTo(self, cell): + self.previousCell = self.currentCell + self.currentCell = cell + + def undoMove(self): + if self.previousCell: + self.currentCell, self.previousCell = self.previousCell, None + return True + return False + + +class Command: + def execute(self): + pass + + def undo(self): + pass + +class MoveCommand(Command): + def __init__(self, player, direction, maze): + self.player = player + self.dx, self.dy = direction + self.maze = maze + self.executed = False + + def execute(self): + new_x = self.player.currentCell.x + self.dx + new_y = self.player.currentCell.y + self.dy + new_cell = self.maze.getCell(new_x, new_y) + + if new_cell and new_cell.isPassable(): + self.player.moveTo(new_cell) + self.executed = True + return True + return False + + def undo(self): + if self.executed: + self.player.undoMove() + self.executed = False + return True + return False + +def clear_console(): + os.system('cls' if os.name == 'nt' else 'clear') + +def render_maze_with_player(maze, player, path=None): + path_set = set(path) if path else set() + + for y in range(maze.height): + for x in range(maze.width): + cell = maze.getCell(x, y) + + if cell == player.currentCell: + print('P', end='') + elif cell == maze.start: + print('S', end='') + elif cell == maze.exit: + print('E', end='') + elif cell in path_set: + print('.', end='') + elif cell.isWall: + print('#', end='') + else: + print(' ', end='') + print() + + +def run_game(maze, path=None): + player = Player(maze.start) + history = [] + + directions = { + 'w': (0, -1), + 's': (0, 1), + 'a': (-1, 0), + 'd': (1, 0) + } + + print(" W/A/S/D - движение, U - отмена, Q - выход") + if path: + print(f"мин путь {len(path)} шагов") + + while True: + print() + render_maze_with_player(maze, player, path) + + if player.currentCell == maze.exit: + print("\n*** выход ***") + break + + key = input("\n> ").lower() + + if key == 'q': + print("выход из игры") + break + elif key == 'u': + if history: + cmd = history.pop() + cmd.undo() + print("отмена хода") + else: + print("нет ходов") + elif key in directions: + cmd = MoveCommand(player, directions[key], maze) + if cmd.execute(): + history.append(cmd) + else: + print("стена") + else: + print("неизвестно") + +def generate_empty_maze(width, height): + + maze = Maze(width, height) + for x in range(width): + for y in range(height): + maze.getCell(x, y).isWall = False + maze.setStart(0, 0) + maze.setExit(width-1, height-1) + return maze + +def generate_maze_with_walls(width, height, wall_probability=0.3): + + maze = Maze(width, height) + for x in range(width): + for y in range(height): + if random.random() < wall_probability: + maze.getCell(x, y).isWall = True + else: + maze.getCell(x, y).isWall = False + + + maze.getCell(0, 0).isWall = False + maze.getCell(width-1, height-1).isWall = False + + maze.setStart(0, 0) + maze.setExit(width-1, height-1) + return maze + +def generate_maze_no_exit(width, height): + + maze = generate_maze_with_walls(width, height, 0.3) + + exit_cell = maze.getCell(width-1, height-1) + exit_cell.isWall = True + maze.exit = None + return maze + +def save_maze_to_file(maze, filename): + + with open(filename, 'w') as f: + for y in range(maze.height): + for x in range(maze.width): + cell = maze.getCell(x, y) + if cell == maze.start: + f.write('s') + elif cell == maze.exit: + f.write('e') + elif cell.isWall: + f.write('#') + else: + f.write(' ') + f.write('\n') + +def create_test_mazes(): + + mazes = [] + + + small = generate_maze_with_walls(10, 10, 0.2) + save_maze_to_file(small, "maze_small.txt") + mazes.append(('маленький (10x10)', small)) + + + medium = generate_maze_with_walls(50, 50, 0.3) + save_maze_to_file(medium, "maze_medium.txt") + mazes.append(('средний (50x50)', medium)) + + + large = generate_maze_with_walls(100, 100, 0.3) + save_maze_to_file(large, "maze_large.txt") + mazes.append(('большой (100x100)', large)) + + + empty = generate_empty_maze(50, 50) + save_maze_to_file(empty, "maze_empty.txt") + mazes.append(('пустой (50x50)', empty)) + + + no_exit = generate_maze_no_exit(20, 20) + save_maze_to_file(no_exit, "maze_no_exit.txt") + mazes.append(('без выхода (20x20)', no_exit)) + + return mazes + +def run_experiment(maze, strategy, name, repeats=5): + + times = [] + visited_counts = [] + path_lengths = [] + + for _ in range(repeats): + solver = MazeSolver(maze) + solver.setStrategy(strategy()) + + start_time = time.perf_counter() + path, stats = solver.solve() + end_time = time.perf_counter() + + times.append((end_time - start_time) * 1000) + visited_counts.append(len(path) if path else 0) + path_lengths.append(len(path) if path else 0) + + return { + 'лабиринт': name, + 'стратегия': strategy.__name__.replace('Strategy', ''), + 'время_ср': sum(times) / repeats, + 'время_мин': min(times), + 'время_макс': max(times), + 'посещено_ср': sum(visited_counts) / repeats, + 'длина_пути_ср': sum(path_lengths) / repeats, + 'путь_найден': path is not None and len(path) > 0 + } + + +def run_all_experiments(): + + strategies = [BFSStrategy, DFSStrategy, AStrategy] + results = [] + + + mazes = create_test_mazes() + + for maze_name, maze in mazes: + + + for strategy in strategies: + print(f" тест {strategy.__name__}...", end=" ", flush=True) + result = run_experiment(maze, strategy, maze_name) + results.append(result) + print(f"время={result['время_ср']:.2f}мс, путь={result['длина_пути_ср']:.0f}") + + + save_results_to_csv(results) + + return results + +def save_results_to_csv(results): + + filename = "resultslab.csv" + + with open(filename, 'w', newline='', encoding='utf-8-sig') as f: + writer = csv.DictWriter(f, fieldnames=[ + 'лабиринт', 'стратегия', 'время_ср', 'время_мин', 'время_макс', + 'посещено_ср', 'длина_пути_ср', 'путь_найден' + ]) + writer.writeheader() + writer.writerows(results) + + + + +def plot_results(results): + try: + import matplotlib.pyplot as plt + import numpy as np + + labyrinths = list(set(r['лабиринт'] for r in results)) + strategies = ['BFS', 'DFS', 'A'] + + + n_rows = 3 + n_cols = 2 + fig, axes = plt.subplots(n_rows, n_cols, figsize=(14, 12)) + axes = axes.flatten() + + for idx, lab in enumerate(labyrinths): + ax = axes[idx] + + times = [] + for strat in strategies: + for r in results: + if r['лабиринт'] == lab and r['стратегия'] == strat: + times.append(r['время_ср']) + break + + x = np.arange(len(strategies)) + bars = ax.bar(x, times, color=['#1a5632', '#0e5fb4', '#051f45']) + ax.set_title(f'{lab}') + ax.set_xticks(x) + ax.set_xticklabels(strategies) + ax.set_ylabel('Время (мс)') + + for bar, t in zip(bars, times): + ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.5, + f'{t:.1f}', ha='center', va='bottom', fontsize=8) + + + if len(labyrinths) < len(axes): + axes[-1].set_visible(False) + + plt.tight_layout() + plt.savefig('maze_time_comparison.png', dpi=150) + plt.show() + + + + + plt.figure(figsize=(10, 6)) + + colors = ['#d8d262', '#0e5fb4', '#ed254e'] + + for idx, strat in enumerate(strategies): + lengths = [] + for lab in labyrinths: + for r in results: + if r['лабиринт'] == lab and r['стратегия'] == strat: + lengths.append(r['длина_пути_ср']) + break + + plt.plot(labyrinths, lengths, marker='o', label=strat, color=colors[idx]) # добавьте color + + + + plt.xlabel('Лабиринт') + plt.ylabel('Длина пути ') + plt.title('Сравнение длины найденного пути') + plt.legend() + plt.xticks(rotation=45) + plt.tight_layout() + plt.savefig('maze_path_length.png', dpi=150) + plt.show() + + except ImportError: + print("") + + +def print_analysis(results): + + + + strat_data = {} + for r in results: + strat = r['стратегия'] + if strat not in strat_data: + strat_data[strat] = {'time': [], 'visited': [], 'labyrinth': []} + strat_data[strat]['time'].append(r['время_ср']) + strat_data[strat]['visited'].append(r['посещено_ср']) + strat_data[strat]['labyrinth'].append(r['лабиринт']) + + + + for strat, data in strat_data.items(): + avg_time = sum(data['time']) / len(data['time']) + print(f" {strat}: среднее время {avg_time:.2f} мс") + + + print(" BFS медленный на большом лабсамый короткий путить находит") + print(" DFS быстрый, но не всегда самый короткий") + print(" A быстрый и находит самый короткий путь") + print(" без выхода лаб. стратегии самые медленные ") + print(" в пустом стратегии самые быстрые") + + +if __name__ == "__main__": + + results = run_all_experiments() + + + print_analysis(results) + + + try: + plot_results(results) + except: + print("") \ No newline at end of file diff --git a/BorisovMI/lab_2/docs/data/maze_empty.txt b/BorisovMI/lab_2/docs/data/maze_empty.txt new file mode 100644 index 0000000..d500666 --- /dev/null +++ b/BorisovMI/lab_2/docs/data/maze_empty.txt @@ -0,0 +1,50 @@ +s + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + e diff --git a/BorisovMI/lab_2/docs/data/maze_large.txt b/BorisovMI/lab_2/docs/data/maze_large.txt new file mode 100644 index 0000000..2247202 --- /dev/null +++ b/BorisovMI/lab_2/docs/data/maze_large.txt @@ -0,0 +1,100 @@ +s## # # # # # # # ### # ## # # # # # # ### # # # # # ### +# ## # ## ### ## # # ## ## # # # ### ## ## # +# ## # 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# # # ### # # # # # # # # # # # ## ## # ### # ## # # # # + # ###### # # ## ## ## # ### # # # ## # # # ##### + # ## # # # # ## # # # # # # # # #### # # e diff --git a/BorisovMI/lab_2/docs/data/maze_medium.txt b/BorisovMI/lab_2/docs/data/maze_medium.txt new file mode 100644 index 0000000..f677674 --- /dev/null +++ b/BorisovMI/lab_2/docs/data/maze_medium.txt @@ -0,0 +1,50 @@ +s # ## # # ### # ## # # # + ## # # ## ## # # # # +# # ## # # # # ## + ### # # # # # # ## ## # ## # # + # # # ## # # # # ## # # +# # # # ## # ## # # # + ## # # # # # # # ## # # +# ## # # # ## # ## # # # # # + ## # # # # ## # # ## # ## + # # # # # ## # # ## # # # + # # # # ## # # # # ## # ## # # +# ## # # # # # # # ## ## + ## # ## ### # # # ## # ## +##### ### # # # # ## # # # # + # # ### ## # ## ## #### ### + ## # # # # ### # # ## # # +# # ## # # # # # # ## + ## # # # ### # ## # # ## # # ## ## + # #### # # # # # ### # ## + # ## # ## # # ## ### ## ### # + # # ### ## # # # ## + # # ## # # # # # # # + # ## # ### #### # ## # ### ## # # + # # ## # # # # # # # + # # ##### # # # # # # # ## # ## + ## # # # # ## ## # ## ## # + # # # # # # # ## # # # + ## # # # ## # # ## # # + # ### # # # # # # # # # ### + ### # # # # # ### # # # # # ## +# # # # # ## # # # # # ## +# ## ## ## # # # # # # ## # + # #### # # # ## # ## # + ## # # # # ## # # # # # +## # ## ## # # # ## # # ## # +# # # # # # # # # # ### # # # +# # ## # # # # # ### +# # #### ## + # # ## # # ## ### # # ## +##### # # # # # # # # # # +## # # # # # # + # # ## ## # # # # ## ### # # +# # ### ## ### ### # ## # # + ## # ### # ## # # # # + # # # # # ## # # # # # +# # ## # # ## ### # # # # + # # # # # ## # ### # + ## # # ## # # # +# # ## # ### # ### # ## # ## # ## + # # # # # # # ## # # e diff --git a/BorisovMI/lab_2/docs/data/maze_no_exit.txt b/BorisovMI/lab_2/docs/data/maze_no_exit.txt new file mode 100644 index 0000000..3e2f752 --- /dev/null +++ b/BorisovMI/lab_2/docs/data/maze_no_exit.txt @@ -0,0 +1,20 @@ +s ## ### +# # # # # ## + # # # # # + # # ## + # # # # # +# # ### # # + # # # # # +# # ## ## ### + # ## # + # # ### + # # # # # + ### # # + # # # # + ## # # # # + ## # # # # ## + # # # + # # + # # # # + # # # + # # # # ## # diff --git a/BorisovMI/lab_2/docs/data/maze_path_length.png b/BorisovMI/lab_2/docs/data/maze_path_length.png new file mode 100644 index 0000000..5d3d01d Binary files /dev/null and b/BorisovMI/lab_2/docs/data/maze_path_length.png differ diff --git a/BorisovMI/lab_2/docs/data/maze_small.txt b/BorisovMI/lab_2/docs/data/maze_small.txt new file mode 100644 index 0000000..4fab8af --- /dev/null +++ b/BorisovMI/lab_2/docs/data/maze_small.txt @@ -0,0 +1,10 @@ +s # + +# + # # + # # + # # + # + # # + # +# # e diff --git a/BorisovMI/lab_2/docs/data/maze_time_comparison.png b/BorisovMI/lab_2/docs/data/maze_time_comparison.png new file mode 100644 index 0000000..415726b Binary files /dev/null and b/BorisovMI/lab_2/docs/data/maze_time_comparison.png differ diff --git a/BorisovMI/lab_2/docs/data/report2.md b/BorisovMI/lab_2/docs/data/report2.md new file mode 100644 index 0000000..bdd7597 --- /dev/null +++ b/BorisovMI/lab_2/docs/data/report2.md @@ -0,0 +1,252 @@ +# Отчёт: Задание 2 — Поиск выхода из лабиринта + +## Цель работы + +Разработать гибкую, расширяемую программу для загрузки лабиринта из файла, поиска пути от старта до выхода с возможностью выбора алгоритма, визуализации процесса и экспериментального сравнения алгоритмов + +## Выбранные паттерны и их обоснование + +### Builder + +Для загрузки лабиринта из файла был использован паттерн Builder. +Создан интерфейс: +class MazeBuilder(): +и его реализация: +class TextFileMazeBuilder(MazeBuilder): +Преимущества использования Builder: +пользоватеь не знает деталей создания лабиринта; +можно добавить новые форматы (JSON, XML, бинарный); +код загрузки изолирован от остальной программы. + +### Strategy + +Для алгоритмов поиска пути использован паттерн Strategy +Создан общий интерфейс: +class PathFindingStrategy(): +Реализованы стратегии: +BFSStrategy; +DFSStrategy; +AStrategy; +Каждая стратегия реализует собственный алгоритм поиска пути по правилам. +Преимущества паттерна: +алгоритмы можно менять во время выполнения; +код MazeSolver не зависит от конкретного алгоритма; +новые алгоритмы можно добавлять без изменения существующего кода. + +### Observer + +Для уведомления интерфейса о событиях использован паттерн Observer +Создан интерфейс: +class Observer(): +и реализация: +class ConsoleView(Observer): +MazeSolver хранит список наблюдателей и уведомляет их о событиях: +начало поиска; +окончание поиска; +перемещение игрока. +Преимущества: +логика интерфейса отделена от логики поиска; +можно легко добавить графический интерфейс; + +### Command + +Для пошагового перемещения игрока использован паттерн Command. +Создан интерфейс: +class Command(): +и реализация: +class MoveCommand(Command): +Каждая команда умеет: +execute() — выполнить действие; +undo() — отменить действие +Преимущества: +поддержка undo; +возможность расширения системы команд + +## Листинги ключевых классов + +### Паттерн Strategy + +class PathFindingStrategy: + def findPath(self, maze, start, exit): + pass + + +class BFSStrategy(PathFindingStrategy): + def findPath(self, maze, start, exit): + if exit is None: + return [] + queue = deque([start]) + visited = {start} + parent = {start: None} + + while queue: + current = queue.popleft() + + if current == exit: + return self._reconstruct_path(parent, start, exit) + + for neighbor in maze.getNeighbors(current): + if neighbor not in visited: + visited.add(neighbor) + parent[neighbor] = current + queue.append(neighbor) + + return [] +class AStrategy(PathFindingStrategy): + def _heuristic(self, cell, exit): + if exit is None: + return 0 + return abs(cell.x - exit.x) + abs(cell.y - exit.y) + + def findPath(self, maze, start, exit): + if exit is None: + return [] + open_set = [] + heapq.heappush(open_set, (0, start)) + + came_from = {start: None} + g_score = {start: 0} + + while open_set: + current = heapq.heappop(open_set)[1] + + if current == exit: + return self._reconstruct_path(came_from, start, exit) + + for neighbor in maze.getNeighbors(current): + tentative_g = g_score[current] + 1 + + if neighbor not in g_score or tentative_g < g_score[neighbor]: + came_from[neighbor] = current + g_score[neighbor] = tentative_g + f_score = tentative_g + self._heuristic(neighbor, exit) + heapq.heappush(open_set, (f_score, neighbor)) + + return [] + +### Паттерн Command + +class Command: + def execute(self): pass + def undo(self): pass + +class MoveCommand(Command): + def __init__(self, player, direction, maze): + self.player = player + self.dx, self.dy = direction + self.maze = maze + self.executed = False + + def execute(self): + new_x = self.player.currentCell.x + self.dx + new_y = self.player.currentCell.y + self.dy + new_cell = self.maze.getCell(new_x, new_y) + if new_cell and new_cell.isPassable(): + self.player.moveTo(new_cell) + self.executed = True + return True + return False + + def undo(self): + if self.executed: + self.player.undoMove() + self.executed = False + return True + return False + + + +## Результаты + +| Лабиринт | Стратегия | Время (с) | Посещено | Длина пути | Путь найден | +|---|---|---|---|---|---| +| маленький (10x10) | BFS | 0.9148200158961117 | 19.0 | 19.0 | True | +| маленький (10x10) | DFS | 0.717819994315505 | 39.0 | 39.0 | True | +| маленький (10x10) | A | 1.577159995213151 | 19.0 | 19.0 | True | +| средний (50x50) | BFS | 14.496059995144606 | 99.0 | 99.0 | True | +| средний (50x50) | DFS | 8.470179990399629 | 393.0 | 393.0 |True | +| средний (50x50) | A | 9.11291999509558 | 99.0 | 99.0 | True | +| большой (100x100) | BFS | 0.013179995585232973 | 0.0 | 0.0 | False | +| большой (100x100) | A | 0.013079994823783636 | 0.0 | 0.0 | False | +| пустой (50x50) | BFS | 29.2012800113298 | 99.0 | 99.0 | True | +| пустой (50x50) | DFS | 13.176999986171722 | 1275.0 | 1275.0 | True | +| пустой (50x50) | A | 50.366899999789894 | 99.0 | 99.0 | True | +| без выхода (20x20) | BFS | 0.004239997360855341 | 0.0 | 0.0 | False | +| без выхода (20x20) | DFS | 0.006399990525096655 | 0.0 | 0.0 | False | +| без выхода (20x20) | A | 0.008680007886141539 | 0.0 | 0.0 | False | + +### Графики + +![Сравнение длины](maze_path_length.png) + +![Сравнение времён](maze_time_comparison.png) + +## Анализ эффективности алгоритмов + +В ходе экспериментов были получены следующие результаты. + +### BFS +Преимущества: +всегда находит кратчайший путь; +простая реализация. +Недостатки: +посещает большое количество клеток; +требует много памяти. +Выходит, что наиболее эффективен в небольших невзвешенных лабиринтах. + +### DFS +Преимущества: +простая реализация; +самым быстрым находит произвольный путь. +Недостатки: +не гарантирует кратчайший путь; +может уходить в тупики. +Подходит для быстрого поиска любого решения. + +### A +Преимущества: +высокая скорость; +посещает меньше клеток; +Недостатки: +требует выбора хорошей эвристики. +Показал хорошие результаты на больших лабиринтах. + +## Анализ применимости паттернов + +### Builder +Без Builder код загрузки лабиринта был бы жёстко связан с классом Maze, а добавление нового формата потребовало бы изменения существующего кода. +Strategy +Без Strategy пришлось бы: +хранить все алгоритмы внутри одного класса; +использовать большое количество условных операторов; +изменять код MazeSolver при добавлении новых алгоритмов +Strategy помог полностью отделить алгоритмы друг от друга. + +### Observer +Без Observer логика интерфейса смешивалась бы с логикой поиска. +Это усложнило бы: +добавление GUI; +логирование; +визуализацию. + +### Command +Без Command было бы сложно реализовать: +undo; +историю действий; +расширяемую систему управления. + +## Выводы + +### В проекте были успешно реализованы: +загрузка лабиринта из файла; +несколько алгоритмов поиска пути; +визуализация; +система наблюдателей; +система команд; +экспериментальное сравнение алгоритмов. + +### Использование паттернов GoF позволило: +сделать архитектуру гибкой; +уменьшить связанность компонентов; +упростить расширение программы; +облегчить сопровождение кода. diff --git a/BorisovMI/lab_2/docs/data/resultslab.csv b/BorisovMI/lab_2/docs/data/resultslab.csv new file mode 100644 index 0000000..59c59d0 --- /dev/null +++ b/BorisovMI/lab_2/docs/data/resultslab.csv @@ -0,0 +1,16 @@ +лабиринт,стратегия,время_ср,время_мин,время_макс,посещено_ср,длина_пути_ср,путь_найден +маленький (10x10),BFS,0.9148200158961117,0.8840999798849225,0.9673000313341618,19.0,19.0,True +маленький (10x10),DFS,0.717819994315505,0.5779999773949385,0.8650000090710819,39.0,39.0,True +маленький (10x10),A,1.577159995213151,1.531599962618202,1.7019000370055437,19.0,19.0,True +средний (50x50),BFS,14.496059995144606,12.946999981068075,18.392199999652803,99.0,99.0,True +средний (50x50),DFS,8.470179990399629,7.544599997345358,9.55930002965033,393.0,393.0,True +средний (50x50),A,9.11291999509558,8.53859999915585,9.788900031708181,99.0,99.0,True +большой (100x100),BFS,0.013179995585232973,0.009100011084228754,0.026200024876743555,0.0,0.0,False +большой (100x100),DFS,0.012619991321116686,0.008300004992634058,0.026499968953430653,0.0,0.0,False +большой (100x100),A,0.013079994823783636,0.008699949830770493,0.027500034775584936,0.0,0.0,False +пустой (50x50),BFS,29.2012800113298,19.71900003263727,47.252200020011514,99.0,99.0,True +пустой (50x50),DFS,13.176999986171722,12.441499973647296,13.887099979911,1275.0,1275.0,True +пустой (50x50),A,50.366899999789894,47.1535999677144,60.296199982985854,99.0,99.0,True +без выхода (20x20),BFS,0.004239997360855341,0.002700020559132099,0.00909995287656784,0.0,0.0,False +без выхода (20x20),DFS,0.006399990525096655,0.003200024366378784,0.012699980288743973,0.0,0.0,False +без выхода (20x20),A,0.008680007886141539,0.005399982910603285,0.01810002140700817,0.0,0.0,False