






'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_					= logging.get_logger(__name__)

a_					= {
    '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      __SCREAMING_SNAKE_CASE      (			lowerCamelCase				):
 snake_case_  							=							"""pegasus"""
 snake_case_  							=							["""past_key_values"""]
 snake_case_  							=							{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}




 def __init__(      self	:							Optional[Any]					,      __lowercase	:							List[Any]=5_02_65					,      __lowercase	:							Union[str, Any]=10_24					,      __lowercase	:							Optional[Any]=12					,      __lowercase	:							List[str]=40_96					,      __lowercase	:							int=16					,      __lowercase	:							List[Any]=12					,      __lowercase	:							Any=40_96					,      __lowercase	:							List[str]=16					,      __lowercase	:							Any=0.0					,      __lowercase	:							Union[str, Any]=0.0					,      __lowercase	:							str=True					,      __lowercase	:							Dict=True					,      __lowercase	:							Optional[Any]="gelu"					,      __lowercase	:							Union[str, Any]=10_24					,      __lowercase	:							Optional[int]=0.1					,      __lowercase	:							List[Any]=0.0					,      __lowercase	:							Any=0.0					,      __lowercase	:							Tuple=0.02					,      __lowercase	:							Union[str, Any]=0					,      __lowercase	:							Tuple=False					,      __lowercase	:							str=0					,      __lowercase	:							Optional[int]=1					,      __lowercase	:							List[Any]=1					,      **__lowercase	:							Tuple					,      )	->						Dict:
       SCREAMING_SNAKE_CASE__     :				int									=vocab_size
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=max_position_embeddings
       SCREAMING_SNAKE_CASE__     :				List[str]									=d_model
       SCREAMING_SNAKE_CASE__     :				Tuple									=encoder_ffn_dim
       SCREAMING_SNAKE_CASE__     :				str									=encoder_layers
       SCREAMING_SNAKE_CASE__     :				List[str]									=encoder_attention_heads
       SCREAMING_SNAKE_CASE__     :				Any									=decoder_ffn_dim
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=decoder_layers
       SCREAMING_SNAKE_CASE__     :				Any									=decoder_attention_heads
       SCREAMING_SNAKE_CASE__     :				List[Any]									=dropout
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=attention_dropout
       SCREAMING_SNAKE_CASE__     :				Any									=activation_dropout
       SCREAMING_SNAKE_CASE__     :				List[Any]									=activation_function
       SCREAMING_SNAKE_CASE__     :				str									=init_std
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=encoder_layerdrop
       SCREAMING_SNAKE_CASE__     :				Optional[int]									=decoder_layerdrop
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=use_cache
       SCREAMING_SNAKE_CASE__     :				Union[str, Any]									=encoder_layers
       SCREAMING_SNAKE_CASE__     :				Optional[Any]									=scale_embedding  # scale factor will be sqrt(d_model) if True
       super().__init__(
           pad_token_id=__lowercase					,      eos_token_id=__lowercase					,      is_encoder_decoder=__lowercase					,      decoder_start_token_id=__lowercase					,      forced_eos_token_id=__lowercase					,      **__lowercase					,      )




 @property
 def      __magic_name__	(      self	:							List[Any]      )	->						int:
       return self.encoder_attention_heads




 @property
 def      __magic_name__	(      self	:							List[str]      )	->						int:
       return self.d_model







'''simple docstring'''
from math import isqrt





def  _a(  UpperCamelCase__				:						int							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__     :				int									=[True] * max_number
      for i in range(2,	isqrt(max_number - 1							) + 1							):
            if is_prime[i]:
                  for j in range(i**2,	UpperCamelCase__,	UpperCamelCase__							):
                        SCREAMING_SNAKE_CASE__     :				Any									=False

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





def  _a(  UpperCamelCase__				:						int = 1_0**8							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__     :				Tuple									=calculate_prime_numbers(max_number // 2							)

      SCREAMING_SNAKE_CASE__     :				int									=0
      SCREAMING_SNAKE_CASE__     :				int									=0
      SCREAMING_SNAKE_CASE__     :				Optional[int]									=len(UpperCamelCase__							) - 1
      while left <= right:
            while prime_numbers[left] * prime_numbers[right] >= max_number:
                  right -= 1
            semiprimes_count += right - left + 1
            left += 1

      return semiprimes_count


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