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")