code: from typing import List, Union
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  lowercase__    :       List[Any]						=			logging.get_logger(__name__)
  
  lowercase__    :       Optional[int]						=			{
      '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/config.json''',
      # See all LED models at https://huggingface.co/models?filter=led
  }
  
  
  
  
  class      lowercase_						(						UpperCamelCase_		):
  
  
  
  	"""simple docstring"""
  
  
  
  
  
  	UpperCAmelCase_						:      Tuple     =       """led"""
  	UpperCAmelCase_						:      Optional[Any]     =       {
  	    """num_attention_heads""": """encoder_attention_heads""",
  	    """hidden_size""": """d_model""",
  	    """attention_probs_dropout_prob""": """attention_dropout""",
  	    """initializer_range""": """init_std""",
  	}
  
  
  	def __init__(							self	,    __SCREAMING_SNAKE_CASE=50265	,    __SCREAMING_SNAKE_CASE=16384	,    __SCREAMING_SNAKE_CASE=1024	,    __SCREAMING_SNAKE_CASE=12	,    __SCREAMING_SNAKE_CASE=4096	,    __SCREAMING_SNAKE_CASE=16	,    __SCREAMING_SNAKE_CASE=12	,    __SCREAMING_SNAKE_CASE=4096	,    __SCREAMING_SNAKE_CASE=16	,    __SCREAMING_SNAKE_CASE=0.0	,    __SCREAMING_SNAKE_CASE=0.0	,    __SCREAMING_SNAKE_CASE=True	,    __SCREAMING_SNAKE_CASE=True	,    __SCREAMING_SNAKE_CASE="gelu"	,    __SCREAMING_SNAKE_CASE=1024	,    __SCREAMING_SNAKE_CASE=0.1	,    __SCREAMING_SNAKE_CASE=0.0	,    __SCREAMING_SNAKE_CASE=0.0	,    __SCREAMING_SNAKE_CASE=0.0_2	,    __SCREAMING_SNAKE_CASE=2	,    __SCREAMING_SNAKE_CASE=0.0	,    __SCREAMING_SNAKE_CASE=1	,    __SCREAMING_SNAKE_CASE=0	,    __SCREAMING_SNAKE_CASE=2	,    __SCREAMING_SNAKE_CASE = 512	,    **__SCREAMING_SNAKE_CASE	,    )		->str:
  								lowerCAmelCase				=	vocab_size
  								lowerCAmelCase				=	max_encoder_position_embeddings
  								lowerCAmelCase				=	max_decoder_position_embeddings
  								lowerCAmelCase				=	d_model
  								lowerCAmelCase				=	encoder_ffn_dim
  								lowerCAmelCase				=	encoder_layers
  								lowerCAmelCase				=	encoder_attention_heads
  								lowerCAmelCase				=	decoder_ffn_dim
  								lowerCAmelCase				=	decoder_layers
  								lowerCAmelCase				=	decoder_attention_heads
  								lowerCAmelCase				=	dropout
  								lowerCAmelCase				=	attention_dropout
  								lowerCAmelCase				=	activation_dropout
  								lowerCAmelCase				=	activation_function
  								lowerCAmelCase				=	init_std
  								lowerCAmelCase				=	encoder_layerdrop
  								lowerCAmelCase				=	decoder_layerdrop
  								lowerCAmelCase				=	classifier_dropout
  								lowerCAmelCase				=	use_cache
  								lowerCAmelCase				=	encoder_layers
  								lowerCAmelCase				=	attention_window
  
  								super().__init__(
  								    pad_token_id=__SCREAMING_SNAKE_CASE	,    bos_token_id=__SCREAMING_SNAKE_CASE	,    eos_token_id=__SCREAMING_SNAKE_CASE	,    is_encoder_decoder=__SCREAMING_SNAKE_CASE	,    decoder_start_token_id=__SCREAMING_SNAKE_CASE	,    **__SCREAMING_SNAKE_CASE	,    )
  
  
  
  
style_context: import glob
  import os
  
  from get_test_info import get_tester_classes
  
  
  if __name__ == "__main__":
  	lowercase__    :       List[Any]						=			[]
  
  	lowercase__    :       Optional[Any]						=			os.path.join('''tests''', '''models''', '''**''', '''test_modeling_*.py''')
  	lowercase__    :       Optional[int]						=			glob.glob(pattern)
  	# TODO: deal with TF/Flax too
  	lowercase__    :       Dict						=			[
  	    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:
  		lowercase__    :       Tuple						=			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:
  				lowercase__    :       Union[str, Any]						=			tester_class(parent=None)
  			except Exception:
  				continue
  			if hasattr(tester, '''get_config'''):
  				lowercase__    :       Union[str, Any]						=			tester.get_config()
  				for k, v in config.to_dict().items():
  					if isinstance(v, int):
  						lowercase__    :       int						=			None
  						if k in ["vocab_size"]:
  							lowercase__    :       Optional[int]						=			1_0_0
  						elif k in ["max_position_embeddings"]:
  							lowercase__    :       Union[str, Any]						=			1_2_8
  						elif k in ["hidden_size", "d_model"]:
  							lowercase__    :       Optional[Any]						=			4_0
  						elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
  							lowercase__    :       Dict						=			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))
  
  
  
  