code: def __call__(
      self, data: Mapping[Hashable, NdarrayOrTensor]
  ) -> Dict[Hashable, NdarrayOrTensor]:
      d: Dict = dict(data)
      for key in self.key_iterator(d):
          cache_key = f"{key}_cached"
          if d.get(cache_key) is None:
              d[cache_key] = copy.deepcopy(d[key])
      return d
  
imports: import copy
  import logging
  from typing import Dict, Hashable, Mapping
  import numpy
  import torch
  from monai.config import KeysCollection, NdarrayOrTensor
  from monai.transforms import CropForeground, GaussianSmooth, Randomizable, Resize, ScaleIntensity, SpatialCrop
  from monai.transforms.transform import MapTransform, Transform
label_desc: Use image node_id 1 for calling the CacheObjectd obj's underlying member method code with example usage: obj.__call__(data) and returns: d