docstr: Returns the features.
  
  Returns
  -------
  x :
docstr_tok: ["Returns","the","features",".","Returns","--","--","--","-","x",":"]
code: def x(self):
      """Returns the features.
  
      Returns
      -------
      x :
      """
      selection = self.selection
      if isinstance(self.selection, slice):
          indices = np.arange(len(self._dataset))
          selection = indices[self.selection]
      elif isinstance(self.selection, int):
          selection = [self.selection]
  
      return [self._dataset.x[i] for i in selection]
  
imports: import torch
  import numpy
  from abc import ABC, abstractmethod
  from scipy.sparse import csr_matrix
  from small_text.base import LABEL_UNLABELED
  from small_text.data import DatasetView
  from small_text.data.datasets import check_size, check_target_labels, get_updated_target_labels
  from small_text.data.exceptions import UnsupportedOperationException
  from small_text.utils.annotations import experimental
  from small_text.utils.labels import csr_to_list, get_num_labels, list_to_csr
label_desc: Use image node_id 3 for calling the PytorchDatasetView obj's underlying member method code with example usage: obj.x() and returns: unknown