|
|
| """ |
| Generate all layers for given dimensions. |
| """ |
| import numpy as np |
| import pandas as pd |
| from pathlib import Path |
| from utils.orthogonal_bases import generate_orthogonal_matrix |
| from utils.hypersphere import point_on_hypersphere |
|
|
| def generate_coords(n_dim, layer=1, ids=range(1, 109), angles=np.arange(0, 361)): |
| radius = 0.2 + (layer - 1) * 0.15 |
| rows = [] |
| for id_num in ids: |
| Q = generate_orthogonal_matrix(n_dim, id_num) |
| row = {"ID": id_num} |
| for angle_deg in angles: |
| theta = np.deg2rad(angle_deg) |
| base = point_on_hypersphere(n_dim, theta) |
| final = (Q @ base) * radius |
| row[str(angle_deg)] = ",".join(f"{v:.6f}" for v in final) |
| rows.append(row) |
| df = pd.DataFrame(rows) |
| return df[["ID"] + [str(a) for a in angles]] |
|
|
| if __name__ == "__main__": |
| dims = [3, 8, 16, 32, 64] |
| base = Path("data") |
| for layer in range(1, 8): |
| for dim in dims: |
| print(f"Generating layer_{layer:02d} | {dim}D ...") |
| df = generate_coords(dim, layer=layer) |
| out = base / f"layer_{layer:02d}" / f"coords_{dim}d.csv" |
| out.parent.mkdir(parents=True, exist_ok=True) |
| df.to_csv(out, index=False) |
| print(f" → {out}") |
|
|
