forked from UNN/2026-rff_mp
[2] добавил поиск astar
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@ -1,3 +1,7 @@
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from collections import deque
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import heapq
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from maze import MazeBuilder
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from collections import deque
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from maze import MazeBuilder
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@ -67,6 +71,41 @@ class DfsStrategy:
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"visited": visited_count,
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"length": len(path)
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}
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def distance(first, second):
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return abs(first[0] - second[0]) + abs(first[1] - second[1])
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class AstarStrategy:
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def solve(self, maze):
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start = maze.start
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finish = maze.finish
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queue = []
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heapq.heappush(queue, (0, start))
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previous = {start: None}
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costs = {start: 0}
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visited_count = 0
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while queue:
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current = heapq.heappop(queue)[1]
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visited_count += 1
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if current == finish:
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break
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for next_cell in maze.neighbors(current[0], current[1]):
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new_cost = costs[current] + 1
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if next_cell not in costs or new_cost < costs[next_cell]:
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costs[next_cell] = new_cost
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priority = new_cost + distance(next_cell, finish)
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heapq.heappush(queue, (priority, next_cell))
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previous[next_cell] = current
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path = build_path(previous, start, finish)
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return {
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"name": "A*",
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"path": path,
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"visited": visited_count,
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"length": len(path)
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}
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class MazeSolver:
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def __init__(self, strategy):
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@ -77,7 +116,7 @@ class MazeSolver:
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if __name__ == "__main__":
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maze = MazeBuilder().from_file("raskatovia/docs/data/task2/maps/simple.txt").build()
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strategies = [BfsStrategy(), DfsStrategy()]
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strategies = [BfsStrategy(), DfsStrategy(), AstarStrategy()]
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for strategy in strategies:
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solver = MazeSolver(strategy)
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