code: def __enter__(self):
      if self.override_transform:
          self._transform_state = self.dataset.transform
          self.dataset.transform = self.override_transform
      return self.dataset
  
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 2 for calling the DatasetManager obj's underlying member method code with example usage: obj.__enter__() and returns: self