code: def echo_multi_ndarray(
      self, *input_arr: NDArray[t.Any]
  ) -> tuple[NDArray[t.Any]]:
      return input_arr
  
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 5 for calling the PickleModel obj's underlying member method code with example usage: obj.echo_multi_ndarray() and returns: input_arr