
"""simple docstring"""






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


UpperCamelCase_						   =   logging.get_logger(__name__)

UpperCamelCase_						   =   {
    'dandelin/vilt-b32-mlm': 'https://huggingface.co/dandelin/vilt-b32-mlm/blob/main/config.json'
}





class 							snake_case       (     SCREAMING_SNAKE_CASE_		):
   a_					:		Tuple     					=     """vilt"""







   def __init__( self       ,							__UpperCAmelCase=3_05_22       ,							__UpperCAmelCase=2       ,							__UpperCAmelCase=2       ,							__UpperCAmelCase=40       ,							__UpperCAmelCase=7_68       ,							__UpperCAmelCase=12       ,							__UpperCAmelCase=12       ,							__UpperCAmelCase=30_72       ,							__UpperCAmelCase="gelu"       ,							__UpperCAmelCase=0.0       ,							__UpperCAmelCase=0.0       ,							__UpperCAmelCase=0.02       ,							__UpperCAmelCase=1E-12       ,							__UpperCAmelCase=3_84       ,							__UpperCAmelCase=32       ,							__UpperCAmelCase=3       ,							__UpperCAmelCase=True       ,							__UpperCAmelCase=-1       ,							__UpperCAmelCase=False       ,							__UpperCAmelCase=-1       ,							**__UpperCAmelCase       ,							)   ->Optional[Any]:
      super().__init__(tie_word_embeddings=__UpperCAmelCase       ,							**__UpperCAmelCase)

      a_						   =     vocab_size
      a_						   =     type_vocab_size
      a_						   =     modality_type_vocab_size
      a_						   =     max_position_embeddings

      a_						   =     hidden_size
      a_						   =     num_hidden_layers
      a_						   =     num_attention_heads
      a_						   =     intermediate_size
      a_						   =     hidden_act
      a_						   =     hidden_dropout_prob
      a_						   =     attention_probs_dropout_prob
      a_						   =     initializer_range
      a_						   =     layer_norm_eps

      a_						   =     image_size
      a_						   =     patch_size
      a_						   =     num_channels
      a_						   =     qkv_bias
      a_						   =     max_image_length
      a_						   =     num_images

"""simple docstring"""






import math
def    UpperCamelCase						(					UpperCAmelCase     )						->bool:

   """simple docstring"""



   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(UpperCAmelCase     ) + 1     ) ,   6     ):
      if number % i == 0 or number % (i + 2) == 0:
         return False
   return True
def    UpperCamelCase						(					UpperCAmelCase = 600_851_475_143     )						->int:

   """simple docstring"""



   try:
      a_						   =     int(UpperCAmelCase     )
   except (TypeError, ValueError):
      raise TypeError("Parameter n must be int or castable to int."     )
   if n <= 0:
      raise ValueError("Parameter n must be greater than or equal to one."     )
   a_						   =     0
   if is_prime(UpperCAmelCase     ):
      return n
   while n % 2 == 0:
      n //= 2
   if is_prime(UpperCAmelCase     ):
      return n
   for i in range(3 ,   int(math.sqrt(UpperCAmelCase     )     ) + 1 ,   2     ):
      if n % i == 0:
         if is_prime(n // i     ):
            a_						   =     n // i
            break
         elif is_prime(UpperCAmelCase     ):
            a_						   =     i
   return max_number


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