2026-rff_mp/krasnovia/lab2/docs/data/experiment.py

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2026-05-20 20:04:18 +00:00
"""
Этап 6: Экспериментальная часть.
Запускает все стратегии на всех лабиринтах 7 раз,
усредняет результаты и сохраняет в results.csv.
Запуск: python experiment.py
"""
import csv
import os
import statistics
from maze_builder import TextFileMazeBuilder
from maze_solver import MazeSolver
from strategies import BFSStrategy, DFSStrategy, AStarStrategy, DijkstraStrategy
MAZES_DIR = "mazes"
OUTPUT_CSV = "results.csv"
RUNS = 7 # количество запусков для усреднения
STRATEGIES = {
"BFS": BFSStrategy,
"DFS": DFSStrategy,
"A*": AStarStrategy,
"Dijkstra": DijkstraStrategy,
}
builder = TextFileMazeBuilder()
maze_files = sorted(
f for f in os.listdir(MAZES_DIR) if f.endswith(".txt")
)
rows = []
for maze_file in maze_files:
maze_name = maze_file.replace(".txt", "")
filepath = os.path.join(MAZES_DIR, maze_file)
try:
maze = builder.build_from_file(filepath)
except ValueError as e:
print(f" [!] Пропуск {maze_file}: {e}")
continue
print(f"\n{'='*50}")
print(f"Лабиринт: {maze_name} ({maze.width}×{maze.height})")
for strat_name, StratClass in STRATEGIES.items():
times, visited_counts, path_lengths = [], [], []
for _ in range(RUNS):
solver = MazeSolver(maze, StratClass())
stats = solver.solve()
times.append(stats.time_ms)
visited_counts.append(stats.visited_cells)
path_lengths.append(stats.path_length)
avg_time = statistics.mean(times)
avg_visited = statistics.mean(visited_counts)
avg_path = statistics.mean(path_lengths)
print(f" {strat_name:10s} | время: {avg_time:.4f} мс | "
f"посещено: {avg_visited:.1f} | длина пути: {avg_path:.1f}")
rows.append({
"лабиринт": maze_name,
"стратегия": strat_name,
"время_мс": round(avg_time, 6),
"посещено_клеток": round(avg_visited, 1),
"длина_пути": round(avg_path, 1),
})
# Сохраняем CSV
with open(OUTPUT_CSV, "w", newline="", encoding="utf-8") as csvfile:
fieldnames = ["лабиринт", "стратегия", "время_мс", "посещено_клеток", "длина_пути"]
writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
writer.writeheader()
writer.writerows(rows)
print(f"\n✓ Результаты сохранены в {OUTPUT_CSV}")