


"""simple docstring"""







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


lowerCamelCase_   :   str									=  logging.get_logger(__name__)

lowerCamelCase_   :   str									=  {
    """google/pegasus-large""": """https://huggingface.co/google/pegasus-large/resolve/main/config.json""",
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}






class       __A				(       _SCREAMING_SNAKE_CASE			):






 """simple docstring"""




 __lowerCAmelCase 					=  "pegasus"
 __lowerCAmelCase 					=  ["past_key_values"]
 __lowerCAmelCase 					=  {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}


 def __init__(		self ,    __A=5_0265 ,    __A=1024 ,    __A=12 ,    __A=4096 ,    __A=16 ,    __A=12 ,    __A=4096 ,    __A=16 ,    __A=0.0 ,    __A=0.0 ,    __A=True ,    __A=True ,    __A="gelu" ,    __A=1024 ,    __A=0.1 ,    __A=0.0 ,    __A=0.0 ,    __A=0.02 ,    __A=0 ,    __A=False ,    __A=0 ,    __A=1 ,    __A=1 ,    **__A ,    )					->     Union[str, Any]:
     a 		=vocab_size
     a 		=max_position_embeddings
     a 		=d_model
     a 		=encoder_ffn_dim
     a 		=encoder_layers
     a 		=encoder_attention_heads
     a 		=decoder_ffn_dim
     a 		=decoder_layers
     a 		=decoder_attention_heads
     a 		=dropout
     a 		=attention_dropout
     a 		=activation_dropout
     a 		=activation_function
     a 		=init_std
     a 		=encoder_layerdrop
     a 		=decoder_layerdrop
     a 		=use_cache
     a 		=encoder_layers
     a 		=scale_embedding  # scale factor will be sqrt(d_model) if True
     super().__init__(
         pad_token_id=__A ,    eos_token_id=__A ,    is_encoder_decoder=__A ,    decoder_start_token_id=__A ,    forced_eos_token_id=__A ,    **__A ,    )


 @property
 def       SCREAMING_SNAKE_CASE							(		self						)					->     int:
     return self.encoder_attention_heads





 @property
 def       SCREAMING_SNAKE_CASE							(		self						)					->     int:
     return self.d_model
"""simple docstring"""
import math







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->bool:

  if 1 < number < 4:
    # 2 and 3 are primes
    return True
  elif number < 2 or number % 2 == 0 or number % 3 == 0:
    # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
    return False

  # All primes number are in format of 6k +/- 1
  for i in range(5		,     int(math.sqrt(_SCREAMING_SNAKE_CASE   ) + 1   )		,     6   ):
    if number % i == 0 or number % (i + 2) == 0:
      return False
  return True







def 						__a   (	_SCREAMING_SNAKE_CASE = 0.1   )	->int:
  a__:     str										=	3
  a__:     Optional[Any]										=	3

  while primes / (2 * j - 1) >= ratio:
    for i in range(j * j + j + 1		,     (j + 2) * (j + 2)		,     j + 1   ):
      primes += is_prime(_SCREAMING_SNAKE_CASE   )
    j += 2
  return j


if __name__ == "__main__":
 import doctest

 doctest.testmod()


