





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


__lowerCAmelCase							:     int		     =logging.get_logger(__name__)

__lowerCAmelCase							:     Dict		     ={
    '''SCUT-DLVCLab/lilt-roberta-en-base''': (
        '''https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'''
    ),
}






class        UpperCAmelCase     (	a_    ):
 __lowercase       		=    """lilt"""
 def __init__(    self				:List[Any]						,	lowercase_				:Optional[Any]=3_05_22						,	lowercase_				:List[str]=7_68						,	lowercase_				:List[Any]=12						,	lowercase_				:str=12						,	lowercase_				:Dict=30_72						,	lowercase_				:List[str]="gelu"						,	lowercase_				:List[Any]=0.1						,	lowercase_				:Dict=0.1						,	lowercase_				:Union[str, Any]=5_12						,	lowercase_				:str=2						,	lowercase_				:str=0.0_2						,	lowercase_				:List[str]=1E-12						,	lowercase_				:Union[str, Any]=0						,	lowercase_				:Dict="absolute"						,	lowercase_				:Optional[int]=None						,	lowercase_				:List[Any]=4						,	lowercase_				:str=10_24						,	**lowercase_				:List[Any]						,	)->							Any:
     super().__init__(pad_token_id=lowercase_						,	**lowercase_							)

     A__    =      vocab_size
     A__    =      hidden_size
     A__    =      num_hidden_layers
     A__    =      num_attention_heads
     A__    =      hidden_act
     A__    =      intermediate_size
     A__    =      hidden_dropout_prob
     A__    =      attention_probs_dropout_prob
     A__    =      max_position_embeddings
     A__    =      type_vocab_size
     A__    =      initializer_range
     A__    =      layer_norm_eps
     A__    =      position_embedding_type
     A__    =      classifier_dropout
     A__    =      channel_shrink_ratio
     A__    =      max_ad_position_embeddings










'''simple docstring'''

def 						UpperCamelCase    (							_lowerCamelCase : int	):

    if not isinstance(_lowerCamelCase						,	_lowerCamelCase	):
        A__    =      F"Input value of [number={number}] must be an integer"
        raise TypeError(_lowerCamelCase	)

    if number < 1:
        A__    =      F"Input value of [number={number}] must be > 0"
        raise ValueError(_lowerCamelCase	)

    A__    =      1

    for i in range(1						,	_lowerCamelCase	):
        current_number *= 4 * i - 2
        current_number //= i + 1

    return current_number


if __name__ == "__main__":
  import doctest

  doctest.testmod()



