examples/load_model_and_forward.py

import numpy as np
from pathlib import Path

root = Path(__file__).resolve().parents[1]
model_path = next((root / "models" / "train").glob("*/*/*/model_bundle.npz"))
rel = model_path.relative_to(root / "models" / "train")
forward_path = root / "forward" / "train" / rel.with_name("forward_bundle.npz")

with np.load(model_path, allow_pickle=True) as bundle:
    print("model_path", model_path)
    print("vp_model", bundle["vp_model"].shape, bundle["vp_model"].dtype)
    print("anomaly_type", bundle["anomaly_type"].item())

with np.load(forward_path, allow_pickle=True) as bundle:
    print("forward_path", forward_path)
    for key in ("gravity_status", "magnetic_status", "mt_status", "seismic_status"):
        if key in bundle:
            print(key, bundle[key].item())