




'''simple docstring'''







from typing import List, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_    	=							logging.get_logger(__name__)

lowerCAmelCase_    	=							{
    '''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   _snake_case( UpperCAmelCase			):
 __snake_case:       int									=				'''led'''
 __snake_case:       Optional[int]									=				{
     '''num_attention_heads''': '''encoder_attention_heads''',
     '''hidden_size''': '''d_model''',
     '''attention_probs_dropout_prob''': '''attention_dropout''',
     '''initializer_range''': '''init_std''',
 }






 def __init__(self					:     List[Any]						,		a					:     Union[str, Any]=5_02_65						,		a					:     Dict=1_63_84						,		a					:     Union[str, Any]=10_24						,		a					:     Dict=12						,		a					:     Tuple=40_96						,		a					:     int=16						,		a					:     Any=12						,		a					:     Tuple=40_96						,		a					:     List[Any]=16						,		a					:     Optional[Any]=0.0						,		a					:     Any=0.0						,		a					:     Optional[Any]=True						,		a					:     Tuple=True						,		a					:     Tuple="gelu"						,		a					:     List[str]=10_24						,		a					:     Dict=0.1						,		a					:     Optional[Any]=0.0						,		a					:     Dict=0.0						,		a					:     Union[str, Any]=0.02						,		a					:     Dict=2						,		a					:     Union[str, Any]=0.0						,		a					:     Union[str, Any]=1						,		a					:     Union[str, Any]=0						,		a					:     int=2						,		a					:     Union[List[int], int] = 5_12						,		**a					:     str						,		)					->      List[Any]:






    """simple docstring"""


    A__         =    vocab_size
    A__         =    max_encoder_position_embeddings
    A__         =    max_decoder_position_embeddings
    A__         =    d_model
    A__         =    encoder_ffn_dim
    A__         =    encoder_layers
    A__         =    encoder_attention_heads
    A__         =    decoder_ffn_dim
    A__         =    decoder_layers
    A__         =    decoder_attention_heads
    A__         =    dropout
    A__         =    attention_dropout
    A__         =    activation_dropout
    A__         =    activation_function
    A__         =    init_std
    A__         =    encoder_layerdrop
    A__         =    decoder_layerdrop
    A__         =    classifier_dropout
    A__         =    use_cache
    A__         =    encoder_layers
    A__         =    attention_window

    super().__init__(
        pad_token_id=a						,		bos_token_id=a						,		eos_token_id=a						,		is_encoder_decoder=a						,		decoder_start_token_id=a						,		**a						,		)








'''simple docstring'''







def 	_A			(   UpperCAmelCase	):






   '''simple docstring'''







   if not isinstance(UpperCAmelCase			,UpperCAmelCase	) or not all(
       isinstance(UpperCAmelCase			,UpperCAmelCase	) and item >= 0 for item in citations	):
      raise ValueError('The citations should be a list of non negative integers.'	)

   citations.sort()
   A__         =    len(UpperCAmelCase	)

   for i in range(UpperCAmelCase	):
      if citations[len_citations - 1 - i] <= i:
         return i

   return len_citations


if __name__ == "__main__":
    import doctest

    doctest.testmod()


