code: def __call__(self, batch):
      new_data = []
      for data in batch.to_data_list():
          new_data.append(self._aug_data(data))
      return Batch.from_data_list(new_data)
  
imports: import random
  import torch
  import numpy
  from itertools import repeat, product
  from torch_geometric.data import Batch
label_desc: Use image node_id 3 for calling the BaseAugmentation obj's underlying member method code with example usage: obj.__call__(batch) and returns: Batch