| import csv | |
| import itertools | |
| import numpy as np | |
| import random | |
| def generate(x, y, z, absorption): | |
| # 組み合わせ | |
| combinations = list(itertools.product(x, y, z, absorption)) | |
| random.seed(0) | |
| random.shuffle(combinations) | |
| with open('room_list.csv', mode='w', newline='', encoding='utf-8') as f: | |
| writer = csv.writer(f) | |
| writer.writerow(['id', 'x', 'y', 'z', 'absorption']) | |
| for idx, combo in enumerate(combinations): | |
| writer.writerow([str(idx).zfill(4)] + list(combo)) | |
| if __name__ == '__main__': | |
| # room_size: np.ndarray = np.array([9., 7.5, 3.5]) | |
| X = np.arange(7.0, 10.5, 0.5) | |
| Y = np.arange(6.0, 8.5, 0.5) | |
| Z = np.arange(2.5, 4.5, 0.5) | |
| # absorption: float = 0.5 | |
| A = [0.4, 0.5, 0.6] | |
| generate(X, Y, Z, A) |