




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


SCREAMING_SNAKE_CASE__			: Optional[Any]    =  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__			: List[Any]    =  {
    '''SCUT-DLVCLab/lilt-roberta-en-base''': (
        '''https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json'''
    ),
}




class 						UpperCamelCase__      (a__	):

    '''simple docstring'''



    lowerCamelCase_ :      List[str]      	= """lilt"""







    def __init__(       self	,    UpperCamelCase__=3_0522	,    UpperCamelCase__=768	,    UpperCamelCase__=12	,    UpperCamelCase__=12	,    UpperCamelCase__=3072	,    UpperCamelCase__="gelu"	,    UpperCamelCase__=0.1	,    UpperCamelCase__=0.1	,    UpperCamelCase__=512	,    UpperCamelCase__=2	,    UpperCamelCase__=0.02	,    UpperCamelCase__=1e-12	,    UpperCamelCase__=0	,    UpperCamelCase__="absolute"	,    UpperCamelCase__=None	,    UpperCamelCase__=4	,    UpperCamelCase__=1024	,    **UpperCamelCase__	,    )	-> int:
           super().__init__(pad_token_id=_UpperCAmelCase	,    **_UpperCAmelCase	)

           lowerCamelCase  : str     					=   vocab_size
           lowerCamelCase  : Any     					=   hidden_size
           lowerCamelCase  : Optional[int]     					=   num_hidden_layers
           lowerCamelCase  : List[Any]     					=   num_attention_heads
           lowerCamelCase  : Union[str, Any]     					=   hidden_act
           lowerCamelCase  : Union[str, Any]     					=   intermediate_size
           lowerCamelCase  : str     					=   hidden_dropout_prob
           lowerCamelCase  : str     					=   attention_probs_dropout_prob
           lowerCamelCase  : Any     					=   max_position_embeddings
           lowerCamelCase  : Tuple     					=   type_vocab_size
           lowerCamelCase  : Optional[int]     					=   initializer_range
           lowerCamelCase  : Union[str, Any]     					=   layer_norm_eps
           lowerCamelCase  : str     					=   position_embedding_type
           lowerCamelCase  : int     					=   classifier_dropout
           lowerCamelCase  : int     					=   channel_shrink_ratio
           lowerCamelCase  : int     					=   max_ad_position_embeddings













'''simple docstring'''




def 			_lowerCAmelCase     (    __snake_case    :					str					,				__snake_case    :					str     )	->	int:
     if len(__snake_case     ) != len(__snake_case     ):
          raise ValueError('String lengths must match!'     )

     __A		:					Optional[Any]						=			0

     for chara, chara in zip(__snake_case					,				__snake_case     ):
          if chara != chara:
               count += 1

     return count


if __name__ == "__main__":
  import doctest

  doctest.testmod()