code: def predict_ndarray(
      self,
      arr: NDArray[t.Any],
      coefficient: int = 1,
  ) -> NDArray[t.Any]:
      assert isinstance(arr, np.ndarray)
      return arr * coefficient
  
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 6 for calling the PickleModel obj's underlying member method code with example usage: obj.predict_ndarray(arr, coefficient) and returns: unknown