code: def __exit__(self, *args):
      if self._transform_state:
          self.dataset.transform = self._transform_state
  
imports: import os
  import re
  import collections
  from medicaltorch import transforms
  from tqdm import tqdm
  import numpy
  import nibabel
  from torch.utils.data import Dataset
  import torch
  from torch._six import string_classes, int_classes
  from PIL import Image
label_desc: Use image node_id 3 for calling the DatasetManager obj's underlying member method code with example usage: obj.__exit__() without return types