code: def batch_predict(self, some_integer: list[int]):
      return list(map(lambda x: x**2, some_integer))
  
file_path: BentoML/tests/integration/frameworks/models/picklable_model.py
imports: from __future__ import annotations
  import numpy
  import bentoml
  from .None import FrameworkTestModel
  from .None import FrameworkTestModelConfiguration
  from .None import FrameworkTestModelInput
label_desc: Use image node_id 2 for calling the PredictModel obj's underlying member method code with example usage: obj.batch_predict(some_integer) and returns: list