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https://huggingface.co/datasets/kalpesh77/Multiverse-field-coordinates/resolve/main/scripts/generate_single.py
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1.45 kB
| """ | |
| 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}") | |