code: def predict_multi_ndarray(
      self, arr1: NDArray[t.Any], arr2: NDArray[t.Any]
  ) -> NDArray[t.Any]:
      assert isinstance(arr1, np.ndarray)
      assert isinstance(arr2, np.ndarray)
      return (arr1 + arr2) // 2
  
file_path: BentoML/tests/e2e/bento_server_http/pickle_model.py
imports: from __future__ import annotations
  import time
  import typing
  from typing import TYPE_CHECKING
  import numpy
  import pandas
label_desc: Use image node_id 7 for calling the PickleModel obj's underlying member method code with example usage: obj.predict_multi_ndarray(arr1, arr2) and returns: unknown