shekurovaa/2/docs/data/builder.py

@@ -0,0 +1,46 @@
+from model import Cell, Maze
+
+class MazeBuilder:
+    def buildFromFile(self, filename: str) -> Maze:
+        raise NotImplementedError
+
+
+class TextFileMazeBuilder(MazeBuilder):
+    def buildFromFile(self, filename: str) -> Maze:
+        with open(filename, "r", encoding="utf-8") as f:
+            raw_lines = [line.rstrip("\n") for line in f if line.strip("\n") != ""]
+
+        width = max(len(line) for line in raw_lines)
+        grid = []
+
+        start_count = 0
+        exit_count = 0
+
+        for y, line in enumerate(raw_lines):
+            row = []
+            padded = line.ljust(width)
+            for x, ch in enumerate(padded):
+                if ch == "#":
+                    row.append(Cell(x, y, isWall=True))
+                elif ch == "S":
+                    row.append(Cell(x, y, isStart=True))
+                    start_count += 1
+                elif ch == "E":
+                    row.append(Cell(x, y, isExit=True))
+                    exit_count += 1
+                elif ch == "1":
+                    row.append(Cell(x, y, weight=1))
+                elif ch == "2":
+                    row.append(Cell(x, y, weight=2))
+                elif ch == "3":
+                    row.append(Cell(x, y, weight=3))
+                else:
+                    row.append(Cell(x, y))
+            grid.append(row)
+
+        maze = Maze(grid)
+
+        if start_count != 1 or exit_count != 1:
+            raise ValueError("В лабиринте должен быть ровно один S и один E")
+
+        return maze

shekurovaa/2/docs/data/command.py

@@ -0,0 +1,44 @@
+class Command:
+    def execute(self):
+        raise NotImplementedError
+
+    def undo(self):
+        raise NotImplementedError
+
+
+class Player:
+    def __init__(self, position):
+        self.position = position
+
+
+class MoveCommand(Command):
+    DIRS = {
+        "W": (0, -1),
+        "S": (0, 1),
+        "A": (-1, 0),
+        "D": (1, 0),
+    }
+
+    def __init__(self, maze, player, direction):
+        self.maze = maze
+        self.player = player
+        self.direction = direction.upper()
+        self.prev_position = None
+
+    def execute(self):
+        if self.direction not in self.DIRS:
+            return False
+        dx, dy = self.DIRS[self.direction]
+        current = self.player.position
+        nxt = self.maze.getCell(current.x + dx, current.y + dy)
+        if nxt is None or not nxt.isPassable():
+            return False
+        self.prev_position = current
+        self.player.position = nxt
+        return True
+
+    def undo(self):
+        if self.prev_position is not None:
+            self.player.position = self.prev_position
+            return True
+        return False

shekurovaa/2/docs/data/experiments.py

@@ -0,0 +1,30 @@
+import csv
+from statistics import mean
+
+def run_experiments(maze_files, strategies, runs=5, out_csv="output/results.csv"):
+    rows = []
+    for maze_name, maze in maze_files.items():
+        for strat_name, strat_cls in strategies.items():
+            times = []
+            visiteds = []
+            lengths = []
+            for _ in range(runs):
+                solver = maze["solver_factory"](strat_cls())
+                stats = solver.solve()
+                times.append(stats.timeMs)
+                visiteds.append(stats.visitedCells)
+                lengths.append(stats.pathLength)
+            rows.append({
+                "maze": maze_name,
+                "strategy": strat_name,
+                "time_ms": round(mean(times), 3),
+                "visited_cells": round(mean(visiteds), 1),
+                "path_length": round(mean(lengths), 1)
+            })
+
+    with open(out_csv, "w", newline="", encoding="utf-8") as f:
+        writer = csv.DictWriter(f, fieldnames=["maze", "strategy", "time_ms", "visited_cells", "path_length"])
+        writer.writeheader()
+        writer.writerows(rows)
+
+    return rows

shekurovaa/2/docs/data/main.py

@@ -0,0 +1,33 @@
+from builder import TextFileMazeBuilder
+from strategies import BFSStrategy, DFSStrategy, AStarStrategy
+from solver import MazeSolver
+from observer import ConsoleView
+from command import Player, MoveCommand
+
+def main():
+    builder = TextFileMazeBuilder()
+    maze = builder.buildFromFile("mazes/small.txt")
+
+    console = ConsoleView()
+    console.update({"type": "message", "text": "Лабиринт загружен:"})
+    console.update({"type": "render", "maze": maze})
+
+    strategies = {
+        "BFS": BFSStrategy(),
+        "DFS": DFSStrategy(),
+        "A*": AStarStrategy()
+    }
+
+    for name, strat in strategies.items():
+        solver = MazeSolver(maze, strat)
+        stats = solver.solve()
+        print(f"{name}: time={stats.timeMs:.3f} ms, visited={stats.visitedCells}, path={stats.pathLength}")
+        console.update({"type": "render", "maze": maze, "path": stats.path})
+
+    player = Player(maze.start)
+    cmd = MoveCommand(maze, player, "D")
+    cmd.execute()
+    console.update({"type": "render", "maze": maze, "player": player.position})
+
+if __name__ == "__main__":
+    main()

shekurovaa/2/docs/data/mazes/small.txt

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

shekurovaa/2/docs/data/model.py

@@ -0,0 +1,67 @@
+from dataclasses import dataclass
+from typing import List, Optional
+
+@dataclass(frozen=True)
+class Cell:
+    x: int
+    y: int
+    isWall: bool = False
+    isStart: bool = False
+    isExit: bool = False
+    weight: int = 1
+
+    def isPassable(self) -> bool:
+        return not self.isWall
+
+
+class Maze:
+    def __init__(self, grid: List[List[Cell]]):
+        self.grid = grid
+        self.height = len(grid)
+        self.width = len(grid[0]) if self.height else 0
+        self.start: Optional[Cell] = None
+        self.exit: Optional[Cell] = None
+
+        for row in grid:
+            for cell in row:
+                if cell.isStart:
+                    self.start = cell
+                if cell.isExit:
+                    self.exit = cell
+
+    def getCell(self, x: int, y: int) -> Optional[Cell]:
+        if 0 <= y < self.height and 0 <= x < self.width:
+            return self.grid[y][x]
+        return None
+
+    def getNeighbors(self, cell: Cell) -> List[Cell]:
+        result = []
+        for dx, dy in [(0, -1), (0, 1), (-1, 0), (1, 0)]:
+            nxt = self.getCell(cell.x + dx, cell.y + dy)
+            if nxt is not None and nxt.isPassable():
+                result.append(nxt)
+        return result
+
+    def render(self, path=None, player_position=None) -> str:
+        path_set = {(c.x, c.y) for c in path} if path else set()
+        player_xy = (player_position.x, player_position.y) if player_position else None
+
+        lines = []
+        for y in range(self.height):
+            row = []
+            for x in range(self.width):
+                c = self.grid[y][x]
+                if player_xy == (x, y):
+                    row.append("P")
+                elif c.isStart:
+                    row.append("S")
+                elif c.isExit:
+                    row.append("E")
+                elif (x, y) in path_set:
+                    row.append(".")
+                elif c.isWall:
+                    row.append("#")
+                else:
+                    row.append(" ")
+            lines.append("".join(row))
+        return "\n".join(lines)

shekurovaa/2/docs/data/observer.py

@@ -0,0 +1,15 @@
+class Observer:
+    def update(self, event):
+        raise NotImplementedError
+
+
+class ConsoleView(Observer):
+    def update(self, event):
+        if isinstance(event, dict) and event.get("type") == "message":
+            print(event["text"])
+        elif isinstance(event, dict) and event.get("type") == "render":
+            maze = event["maze"]
+            path = event.get("path")
+            player = event.get("player")
+            print(maze.render(path=path, player_position=player))
+            print()

shekurovaa/2/docs/data/solver.py

@@ -0,0 +1,38 @@
+import time
+from dataclasses import dataclass
+
+@dataclass
+class SearchStats:
+    timeMs: float
+    visitedCells: int
+    pathLength: int
+    path: list
+
+
+class MazeSolver:
+    def __init__(self, maze, strategy):
+        self.maze = maze
+        self.strategy = strategy
+
+    def setStrategy(self, strategy):
+        self.strategy = strategy
+
+    def solve(self) -> SearchStats:
+        if self.maze.start is None or self.maze.exit is None:
+            raise ValueError("Лабиринт должен содержать start и exit")
+
+        t0 = time.perf_counter()
+        result = self.strategy.findPath(self.maze, self.maze.start, self.maze.exit)
+        t1 = time.perf_counter()
+
+        if isinstance(result, tuple):
+            path, visited = result
+        else:
+            path, visited = result, 0
+
+        return SearchStats(
+            timeMs=(t1 - t0) * 1000,
+            visitedCells=visited,
+            pathLength=len(path),
+            path=path
+        )

shekurovaa/2/docs/data/strategies.py

@@ -0,0 +1,103 @@
+from collections import deque
+import heapq
+from math import inf
+
+class PathFindingStrategy:
+    def findPath(self, maze, start, exit):
+        raise NotImplementedError
+
+
+def reconstruct_path(parent, start, goal):
+    if goal not in parent and goal != start:
+        return []
+    path = []
+    cur = goal
+    while cur != start:
+        path.append(cur)
+        cur = parent[cur]
+    path.append(start)
+    path.reverse()
+    return path
+
+
+class BFSStrategy(PathFindingStrategy):
+    def findPath(self, maze, start, exit):
+        queue = deque([start])
+        visited = {start}
+        parent = {}
+        visited_count = 0
+
+        while queue:
+            current = queue.popleft()
+            visited_count += 1
+            if current == exit:
+                path = reconstruct_path(parent, start, exit)
+                return path, visited_count
+
+            for nxt in maze.getNeighbors(current):
+                if nxt not in visited:
+                    visited.add(nxt)
+                    parent[nxt] = current
+                    queue.append(nxt)
+
+        return [], visited_count
+
+
+class DFSStrategy(PathFindingStrategy):
+    def findPath(self, maze, start, exit):
+        stack = [start]
+        visited = {start}
+        parent = {}
+        visited_count = 0
+
+        while stack:
+            current = stack.pop()
+            visited_count += 1
+            if current == exit:
+                path = reconstruct_path(parent, start, exit)
+                return path, visited_count
+
+            for nxt in maze.getNeighbors(current):
+                if nxt not in visited:
+                    visited.add(nxt)
+                    parent[nxt] = current
+                    stack.append(nxt)
+
+        return [], visited_count
+
+
+class AStarStrategy(PathFindingStrategy):
+    def h(self, a, b):
+        return abs(a.x - b.x) + abs(a.y - b.y)
+
+    def findPath(self, maze, start, exit):
+        open_heap = []
+        heapq.heappush(open_heap, (0, 0, start))
+        parent = {}
+        g = {start: 0}
+        visited = set()
+        visited_count = 0
+        counter = 1
+
+        while open_heap:
+            _, _, current = heapq.heappop(open_heap)
+            if current in visited:
+                continue
+
+            visited.add(current)
+            visited_count += 1
+
+            if current == exit:
+                path = reconstruct_path(parent, start, exit)
+                return path, visited_count
+
+            for nxt in maze.getNeighbors(current):
+                tentative_g = g[current] + nxt.weight
+                if tentative_g < g.get(nxt, inf):
+                    g[nxt] = tentative_g
+                    parent[nxt] = current
+                    f = tentative_g + self.h(nxt, exit)
+                    heapq.heappush(open_heap, (f, counter, nxt))
+                    counter += 1
+
+        return [], visited_count