Merge pull request '[2] lab2' (#238) from shekurovaa/2026-rff_mp:zad2 into develop

Reviewed-on: UNN/2026-rff_mp#238
This commit is contained in:
AlexanderVah 2026-05-30 11:44:23 +00:00
commit b54e87ad1c
11 changed files with 386 additions and 0 deletions

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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

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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

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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

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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()

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##########
#S # #
# ## # # #
# ## # #
# ### #
### ## #
# # #
# # ###E #
# #
##########

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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)

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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()

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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
)

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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

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