






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


A_						:						Dict						      =					logging.get_logger(__name__)

A_						:						int						      =					{
    'facebook/vit-mae-base': 'https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json',
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}




class 							_lowerCAmelCase(			UpperCAmelCase_   ):





       """simple docstring"""







       a							:						Tuple										='''vit_mae'''





       def __init__(   self    ,     _lowerCamelCase=7_6_8    ,     _lowerCamelCase=1_2    ,     _lowerCamelCase=1_2    ,     _lowerCamelCase=3_0_7_2    ,     _lowerCamelCase="gelu"    ,     _lowerCamelCase=0.0    ,     _lowerCamelCase=0.0    ,     _lowerCamelCase=0.0_2    ,     _lowerCamelCase=1e-12    ,     _lowerCamelCase=2_2_4    ,     _lowerCamelCase=1_6    ,     _lowerCamelCase=3    ,     _lowerCamelCase=True    ,     _lowerCamelCase=1_6    ,     _lowerCamelCase=5_1_2    ,     _lowerCamelCase=8    ,     _lowerCamelCase=2_0_4_8    ,     _lowerCamelCase=0.7_5    ,     _lowerCamelCase=False    ,     **_lowerCamelCase    ,     ):
         super().__init__(**_lowerCamelCase				)

         UpperCamelCase_:   Any        =							hidden_size
         UpperCamelCase_:   Any        =							num_hidden_layers
         UpperCamelCase_:   Tuple        =							num_attention_heads
         UpperCamelCase_:   str        =							intermediate_size
         UpperCamelCase_:   Dict        =							hidden_act
         UpperCamelCase_:   Any        =							hidden_dropout_prob
         UpperCamelCase_:   Optional[int]        =							attention_probs_dropout_prob
         UpperCamelCase_:   Any        =							initializer_range
         UpperCamelCase_:   List[str]        =							layer_norm_eps
         UpperCamelCase_:   Union[str, Any]        =							image_size
         UpperCamelCase_:   Any        =							patch_size
         UpperCamelCase_:   Any        =							num_channels
         UpperCamelCase_:   str        =							qkv_bias
         UpperCamelCase_:   str        =							decoder_num_attention_heads
         UpperCamelCase_:   Dict        =							decoder_hidden_size
         UpperCamelCase_:   Dict        =							decoder_num_hidden_layers
         UpperCamelCase_:   Optional[Any]        =							decoder_intermediate_size
         UpperCamelCase_:   List[str]        =							mask_ratio
         UpperCamelCase_:   Tuple        =							norm_pix_loss



"""simple docstring"""
from math import isqrt, loga

def 				_snake_case      (   __snake_case							:      int   ):




   """simple docstring"""







   _lowerCamelCase	:					List[str]   =		[True] * max_number
   for i in range(2						, isqrt(max_number - 1   ) + 1   ):
      if is_prime[i]:
         for j in range(i**2						, __snake_case						, __snake_case   ):
            _lowerCamelCase	:					Optional[int]   =		False

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

def 				_snake_case      (   __snake_case							:      int = 800800						, __snake_case							:      int = 800800   ):




   """simple docstring"""







   _lowerCamelCase	:					Union[str, Any]   =		degree * loga(__snake_case   )
   _lowerCamelCase	:					Union[str, Any]   =		int(__snake_case   )
   _lowerCamelCase	:					Dict   =		calculate_prime_numbers(__snake_case   )

   _lowerCamelCase	:					Optional[int]   =		0
   _lowerCamelCase	:					Any   =		0
   _lowerCamelCase	:					Any   =		len(__snake_case   ) - 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() = }''')

