code: def __init__(  # type: ignore
      self,
      model: Callable[..., ep.types.NativeTensor],
      bounds: BoundsInput,
      dummy: ep.Tensor,
      preprocessing: Preprocessing = None,
  ):
      if not callable(model):
          raise ValueError(
              "expected model to be callable"
          )  # pragma: no cover
  
      self._model = model
      self._bounds = Bounds(*bounds)
      self._dummy = dummy
      self._preprocess_args = self._process_preprocessing(preprocessing)
  
imports: from typing import TypeVar, Callable, Optional, Tuple, Any
  from abc import ABC, abstractmethod
  import copy
  import eagerpy
  from ..types import Bounds, BoundsInput, Preprocessing
  from ..devutils import atleast_kd
label_desc: Use image node_id 1 to create a new ModelWithPreprocessing object from inherited base classes: Model with example: obj = ModelWithPreprocessing(model, bounds, dummy, preprocessing)