| # EVOLVE-BLOCK-START | |
| import numpy as np | |
| def min_max_dist_dim3_14() -> np.ndarray: | |
| """ | |
| Creates 14 points in 3 dimensions in order to maximize the ratio of minimum to maximum distance. | |
| Returns | |
| points: np.ndarray of shape (14,3) containing the (x,y) coordinates of the 14 points. | |
| """ | |
| n = 14 | |
| d = 3 | |
| # places points randomly | |
| np.random.seed(42) | |
| points = np.random.randn(n, d) | |
| return points | |
| # EVOLVE-BLOCK-END | |