code: def _get_custom_kenlm(self, kenlm_file):
      from .ctc_decoder_utils import CustomKenLM
  
      dict_file = get_asset_path("decoder/lexicon.txt")
      custom_lm = CustomKenLM(kenlm_file, dict_file)
      return custom_lm
  
imports: import itertools
  import torch
  from parameterized import parameterized
  from torchaudio_unittest.common_utils import get_asset_path, skipIfNoCtcDecoder, TempDirMixin, TorchaudioTestCase
label_desc: Use image node_id 1 for calling the CTCDecoderTest obj's underlying member method code with example usage: obj._get_custom_kenlm(kenlm_file) and returns: custom_lm