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


SCREAMING_SNAKE_CASE__		:					int						=					logging.get_logger(__name__)

# TODO: upload to AWS
SCREAMING_SNAKE_CASE__		:					Optional[int]						=					{
    "yjernite/retribert-base-uncased": (
        "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/config.json"
    ),
}

class       snake_case					(      UpperCamelCase_						):
  lowercase_			=     'retribert'




  def __init__(      self     :	Any     , a_     :	Optional[Any]=3_0522     , a_     :	Optional[int]=768     , a_     :	Union[str, Any]=8     , a_     :	Dict=12     , a_     :	Optional[Any]=3072     , a_     :	Dict="gelu"     , a_     :	Dict=0.1     , a_     :	List[Any]=0.1     , a_     :	List[Any]=512     , a_     :	List[str]=2     , a_     :	Tuple=0.02     , a_     :	int=1e-1_2     , a_     :	Optional[int]=True     , a_     :	List[Any]=128     , a_     :	List[Any]=0     , **a_     :	List[Any]     , )->       List[str]:




       """simple docstring"""
       super().__init__(pad_token_id=a_     , **a_				)

       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		vocab_size
       SCREAMING_SNAKE_CASE__				:				Any			=		hidden_size
       SCREAMING_SNAKE_CASE__				:				str			=		num_hidden_layers
       SCREAMING_SNAKE_CASE__				:				str			=		num_attention_heads
       SCREAMING_SNAKE_CASE__				:				int			=		hidden_act
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		intermediate_size
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		hidden_dropout_prob
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE__				:				List[str]			=		max_position_embeddings
       SCREAMING_SNAKE_CASE__				:				Any			=		type_vocab_size
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		initializer_range
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		layer_norm_eps
       SCREAMING_SNAKE_CASE__				:				Dict			=		share_encoders
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		projection_dim




from __future__ import annotations







def     _a				(      lowercase__  :			list[int | float]     ,  lowercase__  :			int     ,  lowercase__  :			int ):







     '''simple docstring'''


     if len(lowercase__ ) == 0:
          raise ValueError('find_max() arg is an empty sequence' )
     if (
         left >= len(lowercase__ )
         or left < -len(lowercase__ )
         or right >= len(lowercase__ )
         or right < -len(lowercase__ )
     ):
          raise IndexError('list index out of range' )
     if left == right:
          return nums[left]
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		(left + right) >> 1  # the middle
     SCREAMING_SNAKE_CASE__				:				int			=		find_max(lowercase__     ,  lowercase__     ,  lowercase__ )  # find max in range[left, mid]
     SCREAMING_SNAKE_CASE__				:				Tuple			=		find_max(lowercase__     ,  mid + 1     ,  lowercase__ )  # find max in range[mid + 1, right]

     return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)



