48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
import csv
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from maze import *
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from maze_generator import *
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def run_experiments():
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maze_configs = [
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("small_random", lambda: random_maze(15, 15, wall_prob=0.3)),
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("medium_recursive_div", lambda: recursive_division_maze(31, 31)), #odd хз
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("large_empty", lambda: empty_maze(100, 100)),
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("large_random", lambda: random_maze(100, 100, wall_prob=0.25)),
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("no_path", lambda: no_path_maze(20, 20)),
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]
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algorithms = [("BFS", BFSPathFinding()),
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("DFS", DFSPathFinding()),
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("A*", AStarPathFinding())]
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results = []
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for name, gen_func in maze_configs:
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maze = gen_func()
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for alg_name, strategy in algorithms:
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solver = MazeSolver(maze, strategy)
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times, visited, lengths = [], [], []
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for _ in range(5):
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stats = solver.solve()
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times.append(stats.time_ms)
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visited.append(stats.visited)
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lengths.append(stats.path_length)
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avg_t = sum(times) / len(times)
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avg_v = sum(visited) / len(visited)
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avg_l = sum(lengths) / len(lengths)
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results.append([name, alg_name, avg_t, avg_v, avg_l])
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print(f"{name:20} {alg_name:5} time={avg_t:8.2f}ms visited={avg_v:8.1f} length={avg_l:5.1f}")
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with open("results_maze.csv", "w", newline="") as f:
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writer = csv.writer(f)
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writer.writerow(["maze", "algorithm", "time_ms", "visited", "path_length"])
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writer.writerows(results)
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print("saved results_maze.csv")
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if __name__ == "__main__":
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import sys
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DEBUG = True
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if (len(sys.argv) > 1 and sys.argv[1] == "exp") or DEBUG:
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run_experiments()
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else:
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#run_interactive()
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pass |