code: 
  
  
  
  
  import glob
  import os
  
  from get_test_info import get_tester_classes
  
  
  if __name__ == "__main__":
     UpperCamelCase__				       =			[]
  
     UpperCamelCase__				       =			os.path.join('tests', 'models', '**', 'test_modeling_*.py')
     UpperCamelCase__				       =			glob.glob(pattern)
     # TODO: deal with TF/Flax too
     UpperCamelCase__				       =			[
         x for x in test_files if not (x.startswith('test_modeling_tf_') or x.startswith('test_modeling_flax_'))
     ]
  
     for test_file in test_files:
        UpperCamelCase__				       =			get_tester_classes(test_file)
        for tester_class in tester_classes:
           # A few tester classes don't have `parent` parameter in `__init__`.
           # TODO: deal this better
           try:
              UpperCamelCase__				       =			tester_class(parent=None)
           except Exception:
              continue
           if hasattr(tester, 'get_config'):
              UpperCamelCase__				       =			tester.get_config()
              for k, v in config.to_dict().items():
                 if isinstance(v, int):
                    UpperCamelCase__				       =			None
                    if k in ["vocab_size"]:
                       UpperCamelCase__				       =			100
                    elif k in ["max_position_embeddings"]:
                       UpperCamelCase__				       =			128
                    elif k in ["hidden_size", "d_model"]:
                       UpperCamelCase__				       =			40
                    elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
                       UpperCamelCase__				       =			5
                    if target is not None and v > target:
                       failures.append(
                           F"""{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`"""
                           F""" with config[\"{k}\"] = {v} which is too large for testing! Set its value to be smaller"""
                           F""" than {target}."""
                       )
  
     if len(failures) > 0:
        raise Exception(F"""There were {len(failures)} failures:\n""" + '\n'.join(failures))
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  UpperCamelCase__				       =			{
      'configuration_wav2vec2_conformer': [
          'WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
          'Wav2Vec2ConformerConfig',
      ],
  }
  
  
  try:
     if not is_torch_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     UpperCamelCase__				       =			[
         'WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
         'Wav2Vec2ConformerForAudioFrameClassification',
         'Wav2Vec2ConformerForCTC',
         'Wav2Vec2ConformerForPreTraining',
         'Wav2Vec2ConformerForSequenceClassification',
         'Wav2Vec2ConformerForXVector',
         'Wav2Vec2ConformerModel',
         'Wav2Vec2ConformerPreTrainedModel',
     ]
  
  if TYPE_CHECKING:
     from .configuration_wavaveca_conformer import (
         WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
         WavaVecaConformerConfig,
     )
  
     try:
        if not is_torch_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_wavaveca_conformer import (
            WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            WavaVecaConformerForAudioFrameClassification,
            WavaVecaConformerForCTC,
            WavaVecaConformerForPreTraining,
            WavaVecaConformerForSequenceClassification,
            WavaVecaConformerForXVector,
            WavaVecaConformerModel,
            WavaVecaConformerPreTrainedModel,
        )
  
  else:
     import sys
  
     UpperCamelCase__				       =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)