

'''simple docstring'''






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


lowerCAmelCase__      		=			logging.get_logger(__name__)

lowerCAmelCase__      		=			{
    '''google/vivit-b-16x2-kinetics400''': (
        '''https://huggingface.co/google/vivit-b-16x2-kinetics400/resolve/main/config.json'''
    ),
    # See all Vivit models at https://huggingface.co/models?filter=vivit
}






class     lowercase_			(lowerCamelCase__   ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE					:						Optional[int]           =    'vivit'






  def __init__(   self     :  Union[str, Any]      ,lowercase__     :  Optional[Any]=2_2_4      ,lowercase__     :  Any=3_2      ,lowercase__     :  Optional[Any]=[2, 1_6, 1_6]      ,lowercase__     :  Any=3      ,lowercase__     :  str=7_6_8      ,lowercase__     :  Any=1_2      ,lowercase__     :  int=1_2      ,lowercase__     :  Any=3_0_7_2      ,lowercase__     :  Optional[Any]="gelu_fast"      ,lowercase__     :  str=0.0      ,lowercase__     :  Dict=0.0      ,lowercase__     :  Optional[int]=0.0_2      ,lowercase__     :  int=1e-0_6      ,lowercase__     :  int=True      ,**lowercase__     :  Dict      ,):
   __lowercase													=				hidden_size
   __lowercase													=				num_hidden_layers
   __lowercase													=				num_attention_heads
   __lowercase													=				intermediate_size
   __lowercase													=				hidden_act
   __lowercase													=				hidden_dropout_prob
   __lowercase													=				attention_probs_dropout_prob
   __lowercase													=				initializer_range
   __lowercase													=				layer_norm_eps

   __lowercase													=				image_size
   __lowercase													=				num_frames
   __lowercase													=				tubelet_size
   __lowercase													=				num_channels
   __lowercase													=				qkv_bias

   super().__init__(**lowercase__    )




'''simple docstring'''






def 	_A  (					A__ = 1000000   ):






 """simple docstring"""



 __lowercase													=				set(range(3  ,       A__  ,       2   )   )
 primes.add(2   )
 for p in range(3  ,       A__  ,       2   ):
  if p not in primes:
   continue
  primes.difference_update(set(range(p * p  ,       A__  ,       A__   )   )   )

 __lowercase													=				[float(A__   ) for n in range(limit + 1   )]

 for p in primes:
  for n in range(A__  ,       limit + 1  ,       A__   ):
   phi[n] *= 1 - 1 / p

 return int(sum(phi[2:]   )   )


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

