

"""simple docstring"""



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


SCREAMING_SNAKE_CASE_					:	List[Any]							  =						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_					:	Tuple							  =						{
    "facebook/dpr-ctx_encoder-single-nq-base": (
        "https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-question_encoder-single-nq-base": (
        "https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-reader-single-nq-base": (
        "https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"
    ),
    "facebook/dpr-ctx_encoder-multiset-base": (
        "https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"
    ),
    "facebook/dpr-question_encoder-multiset-base": (
        "https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"
    ),
    "facebook/dpr-reader-multiset-base": (
        "https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"
    ),
}



class 					a						(       _UpperCAmelCase				):



    """simple docstring"""



    UpperCAmelCase						 =					"dpr"

    def __init__(     self: Optional[int]    ,						UpperCamelCase: Dict=3_05_22    ,						UpperCamelCase: Any=7_68    ,						UpperCamelCase: List[Any]=12    ,						UpperCamelCase: str=12    ,						UpperCamelCase: Union[str, Any]=30_72    ,						UpperCamelCase: List[Any]="gelu"    ,						UpperCamelCase: str=0.1    ,						UpperCamelCase: Any=0.1    ,						UpperCamelCase: List[str]=5_12    ,						UpperCamelCase: Optional[Any]=2    ,						UpperCamelCase: str=0.02    ,						UpperCamelCase: Optional[Any]=1e-1_2    ,						UpperCamelCase: List[str]=0    ,						UpperCamelCase: Any="absolute"    ,						UpperCamelCase: int = 0    ,						**UpperCamelCase: Tuple    ,						):






         """simple docstring"""


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

         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__										=  projection_dim
         A__										=  position_embedding_type









"""simple docstring"""



from itertools import count





def  _snake_case     (    UpperCAmelCase_  :					int = 50			):
     A__										=  [1] * min_block_length

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

          for block_length in range(UpperCAmelCase_					,   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] > 100_0000:
               break

     return n


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






