| from __future__ import annotations | |
| import numpy as np | |
| def generate_pinwheel(samples: int, seed: int) -> np.ndarray: | |
| rng = np.random.default_rng(seed) | |
| arms = 5 | |
| labels = rng.integers(0, arms, size=samples) | |
| radius = rng.normal(1.8, 0.32, size=samples) | |
| tangent = rng.normal(0, 0.16, size=samples) | |
| base_angle = labels * 2 * np.pi / arms | |
| angle = base_angle + 1.25 * (radius - 1.8) + tangent | |
| points = np.column_stack( | |
| [radius * np.cos(angle), radius * np.sin(angle)] | |
| ) | |
| points += rng.normal(scale=0.035, size=points.shape) | |
| return points.astype(np.float32) | |