Merge pull request '[2] 2-st-exercise' (#356) from volkovva/2026-rff_mp:2-st-exercise into develop

Reviewed-on: UNN/2026-rff_mp#356

VolkovVA/cod.py

@@ -0,0 +1,253 @@
+import time, os
+from collections import deque
+from abc import ABC, abstractmethod
+import heapq # <-- Добавлен импорт для A*
+
+# --- ЭТАП 1: МОДЕЛЬ ---
+class Cell:
+    def __init__(self, x, y, is_wall=False):
+        self.x = x
+        self.y = y
+        self.is_wall = is_wall
+    def isPassable(self):
+        return not self.is_wall
+
+class Maze:
+    def __init__(self, width, height, grid):
+        self.width = width
+        self.height = height
+        self.grid = grid
+        self.start_cell = grid[0][0]
+        self.exit_cell = grid[height-1][width-1]
+    def getNeighbors(self, cell):
+        neighbors = []
+        directions = [(0, 1), (0, -1), (1, 0), (-1, 0)]
+        for d in directions:
+            nx = cell.x + d[0]
+            ny = cell.y + d[1]
+            if nx >= 0 and nx < self.width and ny >= 0 and ny < self.height:
+                if not self.grid[ny][nx].is_wall:
+                    neighbors.append(self.grid[ny][nx])
+        return neighbors
+
+# --- ЭТАП 2: BUILDER ---
+class MazeBuilder:
+    def buildFromFile(self, filename):
+        path = filename
+        if "docs/data/" not in path:
+            path = os.path.join("docs", "data", filename)
+            
+        with open(path, 'r') as f:
+            lines = []
+            for line in f:
+                stripped = line.strip()
+                if stripped:
+                    lines.append(stripped)
+        
+        h = len(lines)
+        w = len(lines[0])
+        grid = []
+        for y in range(h):
+            row = []
+            for x in range(w):
+                is_wall = False
+                if x < len(lines[y]):
+                    if lines[y][x] == '#':
+                        is_wall = True
+                row.append(Cell(x, y, is_wall))
+            grid.append(row)
+            
+        maze = Maze(w, h, grid)
+        for y in range(h):
+            for x in range(len(lines[y])):
+                if lines[y][x] == 'S':
+                    maze.start_cell = maze.grid[y][x]
+                if lines[y][x] == 'E':
+                    maze.exit_cell = maze.grid[y][x]
+        return maze
+
+# --- ЭТАП 3: STRATEGY ---
+class SearchStats:
+    def __init__(self, time_ms, visited, length):
+        self.time_ms = time_ms
+        self.visited = visited
+        self.length = length
+
+class PathFindingStrategy(ABC):
+    @abstractmethod
+    def findPath(self, maze, start, exit):
+        pass
+
+# 1. Поиск в ширину (BFS) - оригинальный алгоритм
+class BFSStrategy(PathFindingStrategy):
+    def findPath(self, maze, start, exit):
+        queue = deque([start])
+        visited = {start: None}
+        while len(queue) > 0:
+            curr = queue.popleft()
+            if curr == exit:
+                break
+            for n in maze.getNeighbors(curr):
+                if n not in visited:
+                    visited[n] = curr
+                    queue.append(n)
+        path = []
+        curr = exit
+        while curr is not None:
+            path.append(curr)
+            curr = visited.get(curr)
+        return path[::-1], len(visited)
+
+# 2. Поиск в глубину (DFS) - добавлен
+class DFSStrategy(PathFindingStrategy):
+    def findPath(self, maze, start, exit):
+        stack = [start]
+        visited = {start: None}
+        while len(stack) > 0:
+            curr = stack.pop()
+            if curr == exit:
+                break
+            for n in maze.getNeighbors(curr):
+                if n not in visited:
+                    visited[n] = curr
+                    stack.append(n)
+        path = []
+        curr = exit
+        while curr is not None:
+            path.append(curr)
+            curr = visited.get(curr)
+        return path[::-1], len(visited)
+
+# 3. Алгоритм A*
+class AStarStrategy(PathFindingStrategy):
+    def findPath(self, maze, start, exit):
+        counter = 0 
+        queue = [(0, counter, start)]
+        came_from = {start: None}
+        g_score = {start: 0}
+
+        while len(queue) > 0:
+            _, _, curr = heapq.heappop(queue)
+            
+            if curr == exit:
+                break
+
+            for n in maze.getNeighbors(curr):
+                tentative_g_score = g_score[curr] + 1
+                if n not in g_score or tentative_g_score < g_score[n]:
+                    came_from[n] = curr
+                    g_score[n] = tentative_g_score
+                    # Эвристика: Манхэттенское расстояние
+                    f_score = tentative_g_score + abs(n.x - exit.x) + abs(n.y - exit.y)
+                    counter += 1
+                    heapq.heappush(queue, (f_score, counter, n))
+
+        path = []
+        curr = exit
+        while curr is not None:
+            path.append(curr)
+            curr = came_from.get(curr)
+        return path[::-1], len(came_from)
+
+# --- ЭТАП 4: ORCHESTRATOR ---
+class MazeSolver:
+    def __init__(self, maze, player=None):
+        self.maze = maze
+        self.player = player
+        self.observers = []
+    def attach(self, obs):
+        self.observers.append(obs)
+    def notify(self, event, data):
+        for o in self.observers:
+            o.update(event, data)
+    def solve(self, strat):
+        t0 = time.perf_counter()
+        path, visited = strat.findPath(self.maze, self.maze.start_cell, self.maze.exit_cell)
+        t1 = time.perf_counter()
+        return SearchStats((t1 - t0) * 1000, visited, len(path))
+
+# --- ЭТАП 5: OBSERVER & COMMAND ---
+class Player:
+    def __init__(self, cell):
+        self.current_cell = cell
+
+class MoveCommand:
+    def __init__(self, player, dx, dy, maze):
+        self.player = player
+        self.dx = dx
+        self.dy = dy
+        self.maze = maze
+    def execute(self):
+        nx = self.player.current_cell.x + self.dx
+        ny = self.player.current_cell.y + self.dy
+        if nx >= 0 and nx < self.maze.width and ny >= 0 and ny < self.maze.height:
+            target = self.maze.grid[ny][nx]
+            if target.isPassable():
+                self.player.current_cell = target
+                return True
+        return False
+
+class ConsoleView:
+    def update(self, event, data):
+        print(f"[INFO] {event.upper()}: {data}")
+
+# --- ЗАПУСК ---
+if __name__ == "__main__":
+    files = ["maze10-10.txt", "maze50-50.txt", "maze100-100.txt", "maze0.txt", "maze777.txt"]
+    mode = input("Эксперимент (e) или игра (i)? ").lower()
+    
+    if mode == 'e':
+        # Обновленная таблица с колонкой "Метод"
+        print(f"{'Файл':<15} | {'Метод':<5} | {'Время(мс)':<10} | {'Посещено':<10} | {'Путь':<6}")
+        print("-" * 58)
+        
+        for f in files:
+            try:
+                m = MazeBuilder().buildFromFile(f)
+                
+                # Словарь с нашими тремя методами
+                strategies = {
+                    "BFS": BFSStrategy(),
+                    "DFS": DFSStrategy(),
+                    "A*": AStarStrategy()
+                }
+                
+                # Запускаем каждый метод для текущего лабиринта
+                for strat_name, strat_obj in strategies.items():
+                    t_sum, v_sum, l_sum = 0, 0, 0
+                    for _ in range(10):
+                        s = MazeSolver(m).solve(strat_obj)
+                        t_sum += s.time_ms
+                        v_sum += s.visited
+                        l_sum += s.length
+                    
+                    print(f"{f:<15} | {strat_name:<5} | {t_sum/10:<10.2f} | {v_sum/10:<10.1f} | {l_sum/10:<6.1f}")
+                
+                # Линия-разделитель между разными лабиринтами для удобства чтения
+                print("-" * 58)
+                
+            except FileNotFoundError:
+                print(f"{f:<15} | ОШИБКА: Файл не найден")
+                print("-" * 58)
+            
+    elif mode == 'i':
+        name = input("Имя файла: ")
+        m = MazeBuilder().buildFromFile(name)
+        p = Player(m.start_cell)
+        s = MazeSolver(m, p)
+        s.attach(ConsoleView())
+        
+        while True:
+            cmd = input("WASD (q-выход): ").lower()
+            if cmd == 'q': break
+            dx, dy = 0, 0
+            if cmd == 'w': dy = -1
+            elif cmd == 'a': dx = -1
+            elif cmd == 's': dy = 1
+            elif cmd == 'd': dx = 1
+            
+            if dx != 0 or dy != 0:
+                if MoveCommand(p, dx, dy, m).execute():
+                    s.notify("move", f"Направление {cmd}, Координата ({p.current_cell.x}, {p.current_cell.y})")
+                else:
+                    s.notify("error", "Стена!")

VolkovVA/docs/data/grafic's.py

@@ -0,0 +1,33 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+
+file_path = r'C:\Users\vva26\2026-rff_mp\VolkovVA\experiment_results.csv'
+df = pd.read_csv(file_path)
+
+
+
+grouped = df.groupby(['файл', 'стратегия'])[['время', 'посещено', 'длина']].mean()
+
+
+unique_mazes = df['файл'].unique()
+
+for maze in unique_mazes:
+
+    maze_data = grouped.loc[maze]
+    
+    
+    fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(10, 10))
+    fig.suptitle(f'Результаты для: {maze}', fontsize=14, fontweight='bold')
+    
+
+    maze_data['время'].plot(kind='bar', ax=ax1, color='#3498db', title='Время (мс)')
+    maze_data['посещено'].plot(kind='bar', ax=ax2, color='#e74c3c', title='Посещено клеток')
+    maze_data['длина'].plot(kind='bar', ax=ax3, color='#2ecc71', title='Длина пути')
+    
+    for ax in [ax1, ax2, ax3]:
+        ax.grid(axis='y', linestyle='--', alpha=0.5)
+        ax.set_ylabel('Значение')
+        
+    plt.tight_layout(rect=[0, 0.03, 1, 0.95])
+    plt.show()

VolkovVA/docs/data/maze.txt

@@ -0,0 +1,7 @@
+S##....
+..##..#
+#.#..#.
+#....##
+#..#...
+.#..##.
+.##..E#

VolkovVA/docs/data/maze0.txt

@@ -0,0 +1,15 @@
+S..............
+...............
+...............
+...............
+...............
+...............
+...............
+...............
+...............
+...............
+...............
+...............
+...............
+...............
+..............E

VolkovVA/docs/data/maze10-10.txt

@@ -0,0 +1,10 @@
+S......#..
+.#..######
+.##.....#
+.#####..##
+..#####...
+#.#####.##
+#....#....
+##.##..#.#
+##..###...
+###......E

VolkovVA/docs/data/maze100-100.txt

@@ -0,0 +1,102 @@
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