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"""
Generate one layer + one dimension.
Usage example (inside Colab or local):
python generate_single.py --layer 1 --dim 8
"""
import argparse
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__":
parser = argparse.ArgumentParser()
parser.add_argument("--layer", type=int, default=1)
parser.add_argument("--dim", type=int, default=3)
parser.add_argument("--out_dir", type=str, default="data")
args = parser.parse_args()
df = generate_coords(args.dim, layer=args.layer)
out = Path(args.out_dir) / f"layer_{args.layer:02d}" / f"coords_{args.dim}d.csv"
out.parent.mkdir(parents=True, exist_ok=True)
df.to_csv(out, index=False)
print(f"Saved: {out} | shape={df.shape}")
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