File size: 1,263 Bytes
5013cf3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
"""
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}")
|