code: def size(self, index):
      if self.pad_audio:
          return self.sizes[index]
      return min(self.sizes[index], self.max_sample_size)
  
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 14 for calling the HubertDataset obj's underlying member method code with example usage: obj.size(index) and returns: min, self