code: def ordered_indices(self):
      if self.shuffle:
          order = [np.random.permutation(len(self))]
      else:
          order = [np.arange(len(self))]
  
      order.append(self.sizes)
      return np.lexsort(order)[::-1]
  
imports: import itertools
  import logging
  import os
  import sys
  from typing import Any, List, Optional, Union
  import numpy
  import torch
  import torch.nn.functional
  from fairseq.data import data_utils
  from fairseq.data.fairseq_dataset import FairseqDataset
  from fairseq.data.audio.audio_utils import parse_path, read_from_stored_zip
  import io
label_desc: Use image node_id 15 for calling the HubertDataset obj's underlying member method code with example usage: obj.ordered_indices() and returns: np