






"""simple docstring"""






from math import isqrt, loga



def 					_A			(__a							) ->       list[int]:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		[True] * max_number
    for i in range(2    ,				isqrt(max_number - 1							) + 1							):
        if is_prime[i]:
            for j in range(i**2    ,				__a    ,				__a							):
                SCREAMING_SNAKE_CASE_      :  Union[str, Any]    						=		False

    return [i for i in range(2    ,				__a							) if is_prime[i]]



def 					_A			(__a = 80_08_00    ,				__a = 80_08_00							) ->       int:
    """simple docstring"""






    SCREAMING_SNAKE_CASE_      :  Optional[Any]    						=		degree * loga(__a							)
    SCREAMING_SNAKE_CASE_      :  str    						=		int(__a							)
    SCREAMING_SNAKE_CASE_      :  Optional[int]    						=		calculate_prime_numbers(__a							)

    SCREAMING_SNAKE_CASE_      :  int    						=		0
    SCREAMING_SNAKE_CASE_      :  List[Any]    						=		0
    SCREAMING_SNAKE_CASE_      :  List[Any]    						=		len(__a							) - 1
    while left < right:
        while (
            prime_numbers[right] * loga(prime_numbers[left]							)
            + prime_numbers[left] * loga(prime_numbers[right]							)
            > upper_bound
        ):
            right -= 1
        hybrid_integers_count += right - left
        left += 1

    return hybrid_integers_count


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



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


A   :     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      lowerCamelCase    (SCREAMING_SNAKE_CASE__    ):
  """simple docstring"""







  lowerCamelCase__   =  '''retribert'''







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

        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


