Merge pull request '[2] Вторая лабораторная работа' (#253) from mylnikovas/2026-rff_mp:task_2 into develop

Reviewed-on: UNN/2026-rff_mp#253

MylnikovAS/task_2/docs/data/results_all.csv

@@ -0,0 +1,21 @@
+labyrint,strategy,time_ms,passed_cells,path_length
+Small (10x10),BFS,0.1973,59,27
+Small (10x10),DFS,0.1615,49,27
+Small (10x10),AStar,0.2375,50,27
+Small (10x10),Dijkstra,0.2487,60,27
+Empty (50x50),BFS,8.3316,2500,99
+Empty (50x50),DFS,4.6278,1275,1275
+Empty (50x50),AStar,17.5549,2500,99
+Empty (50x50),Dijkstra,14.7128,2500,99
+Middle with dead ends (50x50),BFS,4.8741,1420,1083
+Middle with dead ends (50x50),DFS,4.3282,1275,1275
+Middle with dead ends (50x50),AStar,7.1452,1404,1083
+Middle with dead ends (50x50),Dijkstra,6.0643,1420,1083
+Big (100x100),BFS,17.0733,5590,199
+Big (100x100),DFS,15.1471,4933,4519
+Big (100x100),AStar,31.4644,5140,199
+Big (100x100),Dijkstra,26.7258,5590,199
+Without exit (10x10),BFS,0.0140,5,0
+Without exit (10x10),DFS,0.0124,5,0
+Without exit (10x10),AStar,0.0164,5,0
+Without exit (10x10),Dijkstra,0.0143,5,0

MylnikovAS/task_2/docs/data/steps_123.py

@@ -0,0 +1,190 @@
+import time
+import csv
+from collections import deque
+import heapq
+from abc import ABC, abstractmethod
+
+
+class Cell:
+    def __init__(self, x: int, y: int):
+        self.x = x
+        self.y = y
+        self.isWall = False
+        self.isStart = False
+        self.isExit = False
+        self.weight = 1
+
+    def isPassable(self) -> bool:
+        return not self.isWall
+
+    def __lt__(self, other):
+        return (self.x, self.y) < (other.x, other.y)
+
+
+class Maze:
+    def __init__(self, width: int, height: int):
+        self.width = width
+        self.height = height
+        self.cells = [[Cell(x, y) for y in range(height)] for x in range(width)]
+        self.start = None
+        self.exit = None
+
+    def getCell(self, x: int, y: int) -> Cell:
+        if 0 <= x < self.width and 0 <= y < self.height:
+            return self.cells[x][y]
+        return None
+
+    def getNeighbors(self, cell: Cell):
+        neighbors = []
+        directions = [(0, -1), (0, 1), (-1, 0), (1, 0)]
+        for dx, dy in directions:
+            nx, ny = cell.x + dx, cell.y + dy
+            neighbor = self.getCell(nx, ny)
+            if neighbor and neighbor.isPassable():
+                neighbors.append(neighbor)
+        return neighbors
+
+
+class MazeBuilder(ABC):
+    @abstractmethod
+    def buildFromStringList(self, lines: list) -> Maze:
+        pass
+
+
+class TextMazeBuilder(MazeBuilder):
+
+    def buildFromStringList(self, lines: list) -> Maze:
+        height = len(lines)
+        width = len(lines[0]) if height > 0 else 0
+        maze = Maze(width, height)
+
+        for y, line in enumerate(lines):
+            for x, char in enumerate(line):
+                cell = maze.getCell(x, y)
+                if char == '#':
+                    cell.isWall = True
+                elif char == 'S':
+                    cell.isStart = True
+                    maze.start = cell
+                elif char == 'E':
+                    cell.isExit = True
+                    maze.exit = cell
+                elif char == 'W':
+                    cell.weight = 3
+                elif char == 'D':
+                    cell.weight = 2
+        return maze
+
+
+class PathFindingStrategy(ABC):
+    def __init__(self):
+        self.visited_count = 0
+
+    @abstractmethod
+    def findPath(self, maze: Maze, start: Cell, exit: Cell) -> list:
+        pass
+
+    def _reconstruct_path(self, came_from: dict, start: Cell, exit: Cell) -> list:
+        if exit not in came_from:
+            return []
+        path = []
+        current = exit
+        while current != start:
+            path.append(current)
+            current = came_from[current]
+        path.append(start)
+        path.reverse()
+        return path
+
+
+class BFSStrategy(PathFindingStrategy):
+    def findPath(self, maze: Maze, start: Cell, exit: Cell) -> list:
+        self.visited_count = 0
+        queue = deque([start])
+        came_from = {start: None}
+
+        while queue:
+            current = queue.popleft()
+            self.visited_count += 1
+            if current == exit:
+                break
+            for neighbor in maze.getNeighbors(current):
+                if neighbor not in came_from:
+                    queue.append(neighbor)
+                    came_from[neighbor] = current
+        return self._reconstruct_path(came_from, start, exit)
+
+
+class DFSStrategy(PathFindingStrategy):
+    def findPath(self, maze: Maze, start: Cell, exit: Cell) -> list:
+        self.visited_count = 0
+        stack = [start]
+        came_from = {start: None}
+
+        while stack:
+            current = stack.pop()
+            self.visited_count += 1
+            if current == exit:
+                break
+            for neighbor in maze.getNeighbors(current):
+                if neighbor not in came_from:
+                    stack.append(neighbor)
+                    came_from[neighbor] = current
+        return self._reconstruct_path(came_from, start, exit)
+
+
+class AStarStrategy(PathFindingStrategy):
+    def findPath(self, maze: Maze, start: Cell, exit: Cell) -> list:
+        self.visited_count = 0
+
+        def heuristic(a, b):
+            return abs(a.x - b.x) + abs(a.y - b.y)
+
+        pq = []
+        heapq.heappush(pq, (0, start))
+        came_from = {start: None}
+        g_score = {start: 0}
+
+        while pq:
+            _, current = heapq.heappop(pq)
+            self.visited_count += 1
+            if current == exit:
+                break
+
+            for neighbor in maze.getNeighbors(current):
+                tentative_g_score = g_score[current] + neighbor.weight
+
+                if neighbor not in g_score or tentative_g_score < g_score[neighbor]:
+                    came_from[neighbor] = current
+                    g_score[neighbor] = tentative_g_score
+                    f_score = tentative_g_score + heuristic(neighbor, exit)
+                    heapq.heappush(pq, (f_score, neighbor))
+
+        return self._reconstruct_path(came_from, start, exit)
+
+
+class DijkstraStrategy(PathFindingStrategy):
+
+    def findPath(self, maze: Maze, start: Cell, exit: Cell) -> list:
+        self.visited_count = 0
+        pq = []
+        heapq.heappush(pq, (0, start))
+        came_from = {start: None}
+        g_score = {start: 0}
+
+        while pq:
+            current_g, current = heapq.heappop(pq)
+            self.visited_count += 1
+            if current == exit:
+                break
+
+            for neighbor in maze.getNeighbors(current):
+                tentative_g_score = g_score[current] + neighbor.weight
+
+                if neighbor not in g_score or tentative_g_score < g_score[neighbor]:
+                    came_from[neighbor] = current
+                    g_score[neighbor] = tentative_g_score
+                    heapq.heappush(pq, (tentative_g_score, neighbor))
+
+        return self._reconstruct_path(came_from, start, exit)
+

MylnikovAS/task_2/docs/data/steps_4_and_exp.py

@@ -0,0 +1,192 @@
+class SearchStats:
+    def __init__(self, timeMs: float, visitedCells: int, pathLength: int):
+        self.timeMs = timeMs
+        self.visitedCells = visitedCells
+        self.pathLength = pathLength
+
+
+class MazeSolver:
+    def __init__(self, maze: Maze, strategy: PathFindingStrategy):
+        self.maze = maze
+        self.strategy = strategy
+        self.observers = []
+
+    def setStrategy(self, strategy: PathFindingStrategy):
+        self.strategy = strategy
+
+    def addObserver(self, observer):
+        self.observers.append(observer)
+
+    def _notify(self, event: str):
+        for obs in self.observers:
+            obs.update(event)
+
+    def solve(self) -> tuple:
+        self._notify("Поиск начат")
+        start_time = time.perf_counter()
+
+        path = self.strategy.findPath(self.maze, self.maze.start, self.maze.exit)
+
+        end_time = time.perf_counter()
+        time_ms = (end_time - start_time) * 1000
+
+        stats = SearchStats(time_ms, self.strategy.visited_count, len(path))
+        self._notify("Поиск завершен")
+        return path, stats
+
+
+class Observer(ABC):
+    @abstractmethod
+    def update(self, event: str):
+        pass
+
+
+class ConsoleView(Observer):
+    def update(self, event: str):
+        pass
+
+    def render(self, maze: Maze, path: list):
+        path_set = set(path)
+        for y in range(maze.height):
+            row = ""
+            for x in range(maze.width):
+                cell = maze.getCell(x, y)
+                if cell == maze.start:
+                    row += "S"
+                elif cell == maze.exit:
+                    row += "E"
+                elif cell in path_set:
+                    row += "*"
+                elif cell.isWall:
+                    row += "#"
+                elif cell.weight == 3:
+                    row += "W"  # Болото
+                elif cell.weight == 2:
+                    row += "D"  # Песок
+                else:
+                    row += "."
+            print(row)
+
+
+def get_test_mazes():
+    builder = TextMazeBuilder()
+    mazes = {}
+
+    small = [
+        "S.........",
+        "#####.####",
+        "..........",
+        "####.#####",
+        "..........",
+        "#.#######.",
+        "..........",
+        "######.###",
+        "..........",
+        "........XE"
+    ]
+    small[-1] = small[-1].replace('X', '.')
+    mazes["Small (10x10)"] = builder.buildFromStringList(small)
+
+    empty = ["." * 50 for _ in range(50)]
+    empty_list = list(empty)
+    empty_list[0] = "S" + empty_list[0][1:]
+    empty_list[-1] = empty_list[-1][:-1] + "E"
+    mazes["Empty (50x50)"] = builder.buildFromStringList(empty_list)
+
+    medium = []
+    for y in range(50):
+        if y == 0:
+            row = "S" + "." * 49
+        elif y == 49:
+            row = "." * 49 + "E"
+        elif y % 2 == 1:
+            row = "#" * 45 + "." * 5 if y % 4 == 1 else "." * 5 + "#" * 45
+        else:
+            row = "." * 50
+        medium.append(row)
+    mazes["Middle with dead ends (50x50)"] = builder.buildFromStringList(medium)
+
+    large = []
+    for y in range(100):
+        if y == 0: row = "S" + "." * 99
+        elif y == 99: row = "." * 99 + "E"
+        elif y % 2 == 1:
+            row = ("#" * 9 + ".") * 10
+        else:
+            row = "." * 100
+        large.append(row)
+    mazes["Big (100x100)"] = builder.buildFromStringList(large)
+
+    no_exit = [
+        "S....#....",
+        "##########",
+        "##########",
+        "##########",
+        "##########",
+        "##########",
+        "##########",
+        "##########",
+        "##########",
+        "######...E"
+    ]
+    mazes["Without exit (10x10)"] = builder.buildFromStringList(no_exit)
+
+
+    return mazes
+
+
+def main():
+    mazes = get_test_mazes()
+
+    strategies = {
+        "BFS": BFSStrategy(),
+        "DFS": DFSStrategy(),
+        "AStar": AStarStrategy(),
+        "Dijkstra": DijkstraStrategy()
+    }
+
+    output_rows = []
+
+    print("Запуск всех тестов...")
+    print("-" * 70)
+
+    for maze_name, maze in mazes.items():
+        print(f"Testing: {maze_name}")
+
+        for strat_name, strategy in strategies.items():
+
+            solver = MazeSolver(maze, strategy)
+
+            runs = 5
+            total_time = 0
+            path = []
+            stats = None
+
+            for _ in range(runs):
+                path, stats = solver.solve()
+                total_time += stats.timeMs
+
+            avg_time = total_time / runs
+
+            output_rows.append([
+                maze_name,
+                strat_name,
+                f"{avg_time:.4f}",
+                stats.visitedCells,
+                stats.pathLength
+            ])
+
+            print(
+                f"  -> {strat_name}: Time: {avg_time:.3f}ms | Passed cells: {stats.visitedCells} | Path length: {stats.pathLength}")
+        print("-" * 70)
+
+    with open("results_all.csv", "w", newline="", encoding="utf-8") as csvfile:
+        writer = csv.writer(csvfile)
+        writer.writerow(["labyrint", "strategy", "time_ms", "passed_cells", "path_length"])
+        writer.writerows(output_rows)
+
+    print("Все замеры успешно выполнены! Результаты сохранены в 'results_all.csv'")
+
+
+if __name__ == "__main__":
+    main()