code: 
  
  
  import glob
  import os
  
  from get_test_info import get_tester_classes
  
  
  if __name__ == "__main__":
  	SCREAMING_SNAKE_CASE : List[Any]          =    []
  
  	SCREAMING_SNAKE_CASE : int          =    os.path.join("tests", "models", "**", "test_modeling_*.py")
  	SCREAMING_SNAKE_CASE : Optional[int]          =    glob.glob(pattern)
  	# TODO: deal with TF/Flax too
  	SCREAMING_SNAKE_CASE : Tuple          =    [
  	    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:
  		SCREAMING_SNAKE_CASE : List[Any]          =    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:
  				SCREAMING_SNAKE_CASE : str          =    tester_class(parent=None)
  			except Exception:
  				continue
  			if hasattr(tester, "get_config"):
  				SCREAMING_SNAKE_CASE : str          =    tester.get_config()
  				for k, v in config.to_dict().items():
  					if isinstance(v, int):
  						SCREAMING_SNAKE_CASE : List[Any]          =    None
  						if k in ["vocab_size"]:
  							SCREAMING_SNAKE_CASE : str          =    1_00
  						elif k in ["max_position_embeddings"]:
  							SCREAMING_SNAKE_CASE : Optional[Any]          =    1_28
  						elif k in ["hidden_size", "d_model"]:
  							SCREAMING_SNAKE_CASE : Tuple          =    40
  						elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
  							SCREAMING_SNAKE_CASE : Tuple          =    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 ...utils import is_transformers_available
  from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline
  
  
  if is_transformers_available():
  	from .pipeline_latent_diffusion import LDMBertModel, LDMTextToImagePipeline
  
  
  