


'''simple docstring'''







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


A__:    Dict					    =       logging.get_logger(__name__)

A__:    int					    =       {
    '''microsoft/biogpt''': '''https://huggingface.co/microsoft/biogpt/resolve/main/config.json''',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}







class A__       (						UpperCAmelCase__      ):
      __UpperCamelCase       :  Any	       =							"biogpt"






      def __init__( self			:Optional[Any]     ,						SCREAMING_SNAKE_CASE			:List[str]=4_2_3_8_4     ,						SCREAMING_SNAKE_CASE			:Optional[int]=1_0_2_4     ,						SCREAMING_SNAKE_CASE			:Tuple=2_4     ,						SCREAMING_SNAKE_CASE			:Optional[int]=1_6     ,						SCREAMING_SNAKE_CASE			:Optional[int]=4_0_9_6     ,						SCREAMING_SNAKE_CASE			:Optional[int]="gelu"     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=0.1     ,						SCREAMING_SNAKE_CASE			:Optional[int]=0.1     ,						SCREAMING_SNAKE_CASE			:List[str]=1_0_2_4     ,						SCREAMING_SNAKE_CASE			:int=0.02     ,						SCREAMING_SNAKE_CASE			:Any=1e-12     ,						SCREAMING_SNAKE_CASE			:Any=True     ,						SCREAMING_SNAKE_CASE			:List[str]=True     ,						SCREAMING_SNAKE_CASE			:int=0.0     ,						SCREAMING_SNAKE_CASE			:Optional[int]=0.0     ,						SCREAMING_SNAKE_CASE			:List[str]=1     ,						SCREAMING_SNAKE_CASE			:Union[str, Any]=0     ,						SCREAMING_SNAKE_CASE			:Optional[Any]=2     ,						**SCREAMING_SNAKE_CASE			:List[str]     ,						)       ->					Optional[Any]:




             '''simple docstring'''
             _a    : str     					=vocab_size
             _a    : Dict     					=max_position_embeddings
             _a    : Optional[int]     					=hidden_size
             _a    : Union[str, Any]     					=num_hidden_layers
             _a    : List[Any]     					=num_attention_heads
             _a    : Dict     					=intermediate_size
             _a    : Any     					=hidden_act
             _a    : Optional[int]     					=hidden_dropout_prob
             _a    : int     					=attention_probs_dropout_prob
             _a    : int     					=initializer_range
             _a    : Union[str, Any]     					=layer_norm_eps
             _a    : Union[str, Any]     					=scale_embedding
             _a    : str     					=use_cache
             _a    : List[str]     					=layerdrop
             _a    : int     					=activation_dropout
             super().__init__(pad_token_id=SCREAMING_SNAKE_CASE     ,						bos_token_id=SCREAMING_SNAKE_CASE     ,						eos_token_id=SCREAMING_SNAKE_CASE     ,						**SCREAMING_SNAKE_CASE	)






'''simple docstring'''







from math import isqrt


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int  )  ->			bool:
       return all(number % divisor != 0 for divisor in range(2    ,isqrt(_UpperCAmelCase  ) + 1  )  )


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int = 10**6  )  ->			int:
       _a    : List[Any]     					=0
       _a    : str     					=1
       _a    : Optional[Any]     					=7
       while prime_candidate < max_prime:
              primes_count += is_prime(_UpperCAmelCase  )

              cube_index += 1
              prime_candidate += 6 * cube_index

       return primes_count


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


