готовы все этапы и прошли тестирование
This commit is contained in:
parent
64978d3245
commit
06b5b017e4
|
|
@ -1,242 +1,196 @@
|
|||
class Cell:
|
||||
from abc import ABC, abstractmethod
|
||||
from collections import deque
|
||||
import heapq
|
||||
import time
|
||||
|
||||
|
||||
class Cell:
|
||||
def __init__(self, x, y):
|
||||
self.x = x
|
||||
self.y = y
|
||||
self.is_wall = False
|
||||
self.is_start = False
|
||||
self.is_exit = False
|
||||
|
||||
|
||||
def is_passable(self):
|
||||
return not self.is_wall
|
||||
def __repr__(self):
|
||||
return f"Cell({self.x}, {self.y})"
|
||||
|
||||
class Maze:
|
||||
def __repr__(self):
|
||||
return f"Cell({self.x},{self.y})"
|
||||
|
||||
|
||||
class Maze:
|
||||
def __init__(self, width, height):
|
||||
self.width = width
|
||||
self.height = height
|
||||
self.cells = []
|
||||
self.start = None
|
||||
self.exit = None
|
||||
|
||||
|
||||
for y in range(height):
|
||||
row = []
|
||||
for x in range(width):
|
||||
row.append(Cell(x, y))
|
||||
self.cells.append(row)
|
||||
|
||||
|
||||
def get_cell(self, x, y):
|
||||
|
||||
if 0 <= x < self.width and 0 <= y < self.height:
|
||||
return self.cells[y][x]
|
||||
return None
|
||||
|
||||
def get_neighbors(self, cell):
|
||||
|
||||
neighbors = []
|
||||
directions = [(0, -1), (0, 1), (-1, 0), (1,0)]
|
||||
|
||||
for dx, dy in directions:
|
||||
for dx, dy in [(0, -1), (0, 1), (-1, 0), (1, 0)]:
|
||||
nx, ny = cell.x + dx, cell.y + dy
|
||||
neighbor = self.get_cell(nx, ny)
|
||||
if neighbor and neighbor.is_passable():
|
||||
neighbors.append(neighbor)
|
||||
return neighbors
|
||||
|
||||
def __repr__(self):
|
||||
return f"Maze({self.width}x{self.height})"
|
||||
|
||||
|
||||
from abc import ABC, abstractmethod
|
||||
|
||||
class MazeBuilder(ABC):
|
||||
|
||||
@abstractmethod
|
||||
def build_from_file(self, filename):
|
||||
pass
|
||||
|
||||
class TextFileMazeBuilder(MazeBuilder):
|
||||
|
||||
class TextFileMazeBuilder:
|
||||
def build_from_file(self, filename):
|
||||
with open(filename, 'r') as f:
|
||||
lines = [line.rstrip() for line in f.readlines()]
|
||||
|
||||
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 i, line in enumerate(lines):
|
||||
if len(line) != width:
|
||||
raise ValueError(f"Строка {i+1} имеет длину {len(line)}, ожидается {width}")
|
||||
|
||||
width = len(lines[0])
|
||||
maze = Maze(width, height)
|
||||
start = None
|
||||
exit_cell = None
|
||||
|
||||
|
||||
for y, line in enumerate(lines):
|
||||
for x, ch in enumerate(line):
|
||||
cell = maze.get_cell(x, y)
|
||||
|
||||
if ch == '#':
|
||||
cell.is_wall = True
|
||||
elif ch == ' ':
|
||||
cell.is_wall = False
|
||||
elif ch == 'S':
|
||||
cell.is_wall = False
|
||||
maze.start = cell
|
||||
cell.is_start = True
|
||||
start = cell
|
||||
elif ch == 'E':
|
||||
cell.is_wall = False
|
||||
cell.ia_exit = True
|
||||
exit_cell = cell
|
||||
else:
|
||||
cell.is_wall = True
|
||||
maze.exit = cell
|
||||
cell.is_exit = True
|
||||
|
||||
if start is None:
|
||||
raise ValueError("В лабиринте не найден старт (S)")
|
||||
if exit_cell is None:
|
||||
raise ValueError("В лабиринте не найден выход (E)")
|
||||
|
||||
maze.start = start
|
||||
maze.exit = exit_cell
|
||||
|
||||
return maze
|
||||
|
||||
from collections import deque
|
||||
import heapq
|
||||
from abc import ABC, abstractmethod
|
||||
|
||||
class PathfindingStrategy(ABC):
|
||||
|
||||
class PathFindingStrategy(ABC):
|
||||
@abstractmethod
|
||||
def find_path(self, maze, start, exit):
|
||||
pass
|
||||
|
||||
class BFSStrategy(PathfindingStrategy):
|
||||
|
||||
class BFSStrategy(PathFindingStrategy):
|
||||
def find_path(self, maze, start, exit):
|
||||
if start is None or exit is None:
|
||||
return []
|
||||
if not start or not exit:
|
||||
return [], 0
|
||||
|
||||
queue = deque()
|
||||
queue.append((start, [start]))
|
||||
|
||||
visited = set()
|
||||
visited.add(start)
|
||||
queue = deque([(start, [start])])
|
||||
visited = {start}
|
||||
|
||||
while queue:
|
||||
current, path = queue.popleft()
|
||||
|
||||
if current == exit:
|
||||
return path
|
||||
return path, len(visited)
|
||||
|
||||
neighbors = maze.get_neighbors(current)
|
||||
for neighbor in neighbors:
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
if neighbor not in visited:
|
||||
visited.add(neighbor)
|
||||
queue.append((neighbor, path + [neighbor]))
|
||||
|
||||
return []
|
||||
|
||||
class DFSStrategy(PathfindingStrategy):
|
||||
return [], len(visited)
|
||||
|
||||
|
||||
class DFSStrategy(PathFindingStrategy):
|
||||
def find_path(self, maze, start, exit):
|
||||
if start is None or exit is None:
|
||||
return []
|
||||
if not start or not exit:
|
||||
return [], 0
|
||||
|
||||
stack = [(start, [start])]
|
||||
|
||||
visited = set()
|
||||
visited.add(start)
|
||||
|
||||
visited = {start}
|
||||
|
||||
while stack:
|
||||
current, path = stack.pop()
|
||||
|
||||
if current == exit:
|
||||
return path
|
||||
return path, len(visited)
|
||||
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
if neighbor not in visited:
|
||||
visited.add(neighbor)
|
||||
stack.append((neighbor, path + [neighbor]))
|
||||
|
||||
return [], len(visited)
|
||||
|
||||
return []
|
||||
|
||||
class AStarStrategy(PathFindingStrategy):
|
||||
def _heuristic(self, a, b):
|
||||
return abs(a.x - b.x) + abs(a.y - b.y)
|
||||
|
||||
class AStartStrategy(PathfindingStrategy):
|
||||
def find_path(self, maze, start, exit):
|
||||
if not start or not exit:
|
||||
return [], 0
|
||||
|
||||
heap = [(self._heuristic(start, exit), 0, start, [start])]
|
||||
g_score = {start: 0}
|
||||
visited = set()
|
||||
counter = 1
|
||||
|
||||
while heap:
|
||||
_, _, current, path = heapq.heappop(heap)
|
||||
|
||||
if current in visited:
|
||||
continue
|
||||
|
||||
visited.add(current)
|
||||
|
||||
if current == exit:
|
||||
return path, len(visited)
|
||||
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
tentative_g = g_score[current] + 1
|
||||
if neighbor not in g_score or tentative_g < g_score[neighbor]:
|
||||
g_score[neighbor] = tentative_g
|
||||
f = tentative_g + self._heuristic(neighbor, exit)
|
||||
heapq.heappush(heap, (f, counter, neighbor, path + [neighbor]))
|
||||
counter += 1
|
||||
|
||||
return [], len(visited)
|
||||
|
||||
def _heuristic(self, cell, exit):
|
||||
return abs(cell.x - exit.x) + abs(cell.y -exit.y)
|
||||
|
||||
def find_path(self, maze, start, exit):
|
||||
if start is None or exit is None:
|
||||
return []
|
||||
|
||||
counter = 0
|
||||
heap = []
|
||||
heapq.heappush(heap, (self._heuristic(start, exit), counter, start, [start]))
|
||||
|
||||
g_score = {start: 0}
|
||||
class SearchStats:
|
||||
def __init__(self, path, time_ms, visited_count):
|
||||
self.path = path
|
||||
self.time_ms = time_ms
|
||||
self.visited_count = visited_count
|
||||
self.path_length = len(path) if path else 0
|
||||
|
||||
visited = set()
|
||||
|
||||
while heap:
|
||||
f_score, _, current, path = heapq.heappop(heap)
|
||||
class MazeSolver:
|
||||
def __init__(self, maze, strategy=None):
|
||||
self.maze = maze
|
||||
self.strategy = strategy
|
||||
|
||||
def set_strategy(self, strategy):
|
||||
self.strategy = strategy
|
||||
|
||||
def solve(self):
|
||||
start_time = time.perf_counter()
|
||||
path, visited = self.strategy.find_path(self.maze, self.maze.start, self.maze.exit)
|
||||
end_time = time.perf_counter()
|
||||
return SearchStats(path, (end_time - start_time) * 1000, visited)
|
||||
|
||||
if current in visited:
|
||||
continue
|
||||
|
||||
visited.add(current)
|
||||
|
||||
if current == exit:
|
||||
return path
|
||||
|
||||
for neighbor in maze.get_neighbors(current):
|
||||
tentative_g = g_score[current] + 1
|
||||
|
||||
if neighbor not in g_score or tentative_g < g_score[neighbor]:
|
||||
g_score[neighbor] = tentative_g
|
||||
f_score = tentative_g + self._heuristic(neighbor, exit)
|
||||
counter += 1
|
||||
heapq.heappush(heap, (f_score, counter, neighbor, path + [neighbor]))
|
||||
|
||||
return []
|
||||
|
||||
#тест
|
||||
|
||||
if __name__ == "__main__":
|
||||
builder = TextFileMazeBuilder()
|
||||
maze = builder.build_from_file("maze1.txt")
|
||||
|
||||
print("Лабиринт загружен")
|
||||
print(f"Лабиринт: {maze.width}x{maze.height}")
|
||||
print(f"Старт: {maze.start}")
|
||||
print(f"Выход: {maze.exit}")
|
||||
print()
|
||||
|
||||
# Проверяем, что старт и выход проходимые
|
||||
print(f"Старт проходим: {maze.start.is_passable()}")
|
||||
print(f"Выход проходим: {maze.exit.is_passable()}")
|
||||
solver = MazeSolver(maze)
|
||||
|
||||
# Проверяем соседей старта
|
||||
neighbors = maze.get_neighbors(maze.start)
|
||||
print(f"Соседи старта: {neighbors}")
|
||||
|
||||
# Тестируем BFS
|
||||
bfs = BFSStrategy()
|
||||
path = bfs.find_path(maze, maze.start, maze.exit)
|
||||
print(f"BFS путь: {[f'({c.x},{c.y})' for c in path]}")
|
||||
print(f"BFS длина пути: {len(path)}")
|
||||
|
||||
# Тестируем DFS
|
||||
dfs = DFSStrategy()
|
||||
path = dfs.find_path(maze, maze.start, maze.exit)
|
||||
print(f"DFS путь: {[f'({c.x},{c.y})' for c in path]}")
|
||||
print(f"DFS длина пути: {len(path)}")
|
||||
|
||||
# Тестируем A*
|
||||
astar = AStartStrategy()
|
||||
path = astar.find_path(maze, maze.start, maze.exit)
|
||||
print(f"A* путь: {[f'({c.x},{c.y})' for c in path]}")
|
||||
print(f"A* длина пути: {len(path)}")
|
||||
for name, strategy in [("BFS", BFSStrategy()), ("DFS", DFSStrategy()), ("A*", AStarStrategy())]:
|
||||
solver.set_strategy(strategy)
|
||||
stats = solver.solve()
|
||||
print(f"{name}: путь={stats.path_length}, время={stats.time_ms:.3f}мс, посещено={stats.visited_count}")
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user