code: def filter_indices_by_size(self, indices, max_sizes):
      return indices, []
  
imports: import logging
  import os
  import sys
  import time
  import io
  import numpy
  import torch
  import torch.nn.functional
  from ..None import FairseqDataset
  from ..data_utils import compute_block_mask_1d, get_buckets, get_bucketed_sizes
  from fairseq.data.audio.audio_utils import parse_path, read_from_stored_zip, is_sf_audio_data
  from fairseq.data.text_compressor import TextCompressor, TextCompressionLevel
label_desc: Use image node_id 13 for calling the RawAudioDataset obj's underlying member method code with example usage: obj.filter_indices_by_size(indices, max_sizes) and returns: indices,  list