class_docstr: This class is used to create of a subset of a dataset.
  
  Args:
      subset (:class:`torch.utils.data.Dataset`): The given dataset subset.
      transform (function, optional): A transformation applied on each
          sample of the dataset before it will be used. Default is None.
docstr: This method returns the sample at the given index in the subset.
  
  Args:
      index (int): The index in the subset of the required sample.
docstr_tok: ["This","method","returns","the","sample","at","the","given","index","in","the","subset",".","Args",":","index","(","int",")",":","The","index","in","the","subset","of","the","required","sample","."]
code: def __getitem__(self, index):
      r"""
      This method returns the sample at the given index in the subset.
  
      Args:
          index (int): The index in the subset of the required sample.
      """
      data = self.subset[index]
      if self.transform is not None:
          data = self.transform(data)
      return data
  
imports: import random
  import torch
  import torch.nn.functional
  from torch.utils.data import Dataset
  from torch_geometric.utils import degree
label_desc: Use image node_id 2 for calling the Subset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: data