code: def test_EncDecClassificationDatasetConfig_for_AudioToSpeechLabelDataset(
      self,
  ):
      # ignore some additional arguments as dataclass is generic
      IGNORE_ARGS = [
          "is_tarred",
          "num_workers",
          "batch_size",
          "tarred_audio_filepaths",
          "shuffle",
          "pin_memory",
          "drop_last",
          "tarred_shard_strategy",
          "shuffle_n",
          # `featurizer` is supplied at runtime
          "featurizer",
          # additional ignored arguments
          "vad_stream",
          "int_values",
          "sample_rate",
          "normalize_audio",
          "augmentor",
          "bucketing_batch_size",
          "bucketing_strategy",
          "bucketing_weights",
      ]
  
      REMAP_ARGS = {"trim_silence": "trim"}
  
      result = assert_dataclass_signature_match(
          audio_to_label.AudioToSpeechLabelDataset,
          configs.EncDecClassificationDatasetConfig,
          ignore_args=IGNORE_ARGS,
          remap_args=REMAP_ARGS,
      )
      signatures_match, cls_subset, dataclass_subset = result
  
      assert signatures_match
      assert cls_subset is None
      assert dataclass_subset is None
  
imports: import copy
  import os
  import pytest
  import torch
  from omegaconf import DictConfig, ListConfig
  from nemo.collections.asr.data import audio_to_label
  from nemo.collections.asr.models import EncDecClassificationModel, EncDecFrameClassificationModel, configs
  from nemo.utils.config_utils import assert_dataclass_signature_match
label_desc: Use image node_id 5 for calling the TestEncDecClassificationModel obj's underlying member method code with example usage: obj.test_EncDecClassificationDatasetConfig_for_AudioToSpeechLabelDataset() without return types