

'''simple docstring'''



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


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

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







class 						lowerCAmelCase__   (      a					):



 """simple docstring"""



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


      """simple docstring"""




      super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE					,							**__SCREAMING_SNAKE_CASE			)

      __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









'''simple docstring'''



from itertools import count







def    a__       (  a__ = 50						):




     """simple docstring"""


     __SCREAMING_SNAKE_CASE     =      [1] * min_block_length

     for n in count(a__						):
          fill_count_functions.append(1						)

          for block_length in range(a__      ,    n + 1						):
               for block_start in range(n - block_length						):
                    fill_count_functions[n] += fill_count_functions[
                        n - block_start - block_length - 1
                    ]

               fill_count_functions[n] += 1

          if fill_count_functions[n] > 1_00_00_00:
               break

     return n


if __name__ == "__main__":
  print(f"""{solution() = }""")






