




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


__A						:							List[str]							=  logging.get_logger(__name__)

# TODO: upload to AWS
__A						:							Dict							=  {
    """yjernite/retribert-base-uncased""": (
        """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"""
    ),
}




class 			UpperCAmelCase_      (   UpperCamelCase_       ):




							'''simple docstring'''



							a__						  =     '''retribert'''





							def __init__(					self       :	List[str]       ,     a       :	str=30_522       ,     a       :	Union[str, Any]=768       ,     a       :	List[str]=8       ,     a       :	List[str]=12       ,     a       :	str=3_072       ,     a       :	Dict="gelu"       ,     a       :	Dict=0.1       ,     a       :	Optional[Any]=0.1       ,     a       :	Any=512       ,     a       :	Tuple=2       ,     a       :	Any=0.02       ,     a       :	Optional[Any]=1E-1_2       ,     a       :	Optional[Any]=True       ,     a       :	Dict=128       ,     a       :	int=0       ,     **a       :	Optional[int]       ,     )			->					Optional[int]:
										super().__init__(pad_token_id=__a       ,     **__a			)

										SCREAMING_SNAKE_CASE           =					vocab_size
										SCREAMING_SNAKE_CASE           =					hidden_size
										SCREAMING_SNAKE_CASE           =					num_hidden_layers
										SCREAMING_SNAKE_CASE           =					num_attention_heads
										SCREAMING_SNAKE_CASE           =					hidden_act
										SCREAMING_SNAKE_CASE           =					intermediate_size
										SCREAMING_SNAKE_CASE           =					hidden_dropout_prob
										SCREAMING_SNAKE_CASE           =					attention_probs_dropout_prob
										SCREAMING_SNAKE_CASE           =					max_position_embeddings
										SCREAMING_SNAKE_CASE           =					type_vocab_size
										SCREAMING_SNAKE_CASE           =					initializer_range
										SCREAMING_SNAKE_CASE           =					layer_norm_eps
										SCREAMING_SNAKE_CASE           =					share_encoders
										SCREAMING_SNAKE_CASE           =					projection_dim












def 					lowerCamelCase_    (    SCREAMING_SNAKE_CASE   ):
			'''simple docstring'''
			if not all(char in """01""" for char in bin_string   ):
						raise ValueError("""Non-binary value was passed to the function"""   )
			if not bin_string:
						raise ValueError("""Empty string was passed to the function"""   )
			SCREAMING_SNAKE_CASE           =					""""""
			while len(SCREAMING_SNAKE_CASE   ) % 3 != 0:
						SCREAMING_SNAKE_CASE           =					"""0""" + bin_string
			SCREAMING_SNAKE_CASE           =					[
			    bin_string[index : index + 3]
			    for index in range(len(SCREAMING_SNAKE_CASE   )   )
			    if index % 3 == 0
			]
			for bin_group in bin_string_in_3_list:
						SCREAMING_SNAKE_CASE           =					0
						for index, val in enumerate(SCREAMING_SNAKE_CASE   ):
									oct_val += int(2 ** (2 - index) * int(SCREAMING_SNAKE_CASE   )   )
						oct_string += str(SCREAMING_SNAKE_CASE   )
			return oct_string


if __name__ == "__main__":
		from doctest import testmod

		testmod()






