






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


__A					=	logging.get_logger(__name__)

__A					=	{
    "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 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							Tuple				= 'vit_mae'



    def __init__(				self      :     str ,     __SCREAMING_SNAKE_CASE      :     List[Any]=768 ,     __SCREAMING_SNAKE_CASE      :     Dict=12 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=12 ,     __SCREAMING_SNAKE_CASE      :     int=3072 ,     __SCREAMING_SNAKE_CASE      :     List[str]="gelu" ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=0.0 ,     __SCREAMING_SNAKE_CASE      :     Dict=0.0 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=0.02 ,     __SCREAMING_SNAKE_CASE      :     List[str]=1e-12 ,     __SCREAMING_SNAKE_CASE      :     Any=224 ,     __SCREAMING_SNAKE_CASE      :     str=16 ,     __SCREAMING_SNAKE_CASE      :     Tuple=3 ,     __SCREAMING_SNAKE_CASE      :     str=True ,     __SCREAMING_SNAKE_CASE      :     List[str]=16 ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]=512 ,     __SCREAMING_SNAKE_CASE      :     Dict=8 ,     __SCREAMING_SNAKE_CASE      :     Dict=2048 ,     __SCREAMING_SNAKE_CASE      :     Optional[Any]=0.75 ,     __SCREAMING_SNAKE_CASE      :     Any=False ,     **__SCREAMING_SNAKE_CASE      :     Optional[Any] ,     )      ->							Optional[Any]:
           super().__init__(**__SCREAMING_SNAKE_CASE      )

           __UpperCAmelCase     				=hidden_size
           __UpperCAmelCase     				=num_hidden_layers
           __UpperCAmelCase     				=num_attention_heads
           __UpperCAmelCase     				=intermediate_size
           __UpperCAmelCase     				=hidden_act
           __UpperCAmelCase     				=hidden_dropout_prob
           __UpperCAmelCase     				=attention_probs_dropout_prob
           __UpperCAmelCase     				=initializer_range
           __UpperCAmelCase     				=layer_norm_eps
           __UpperCAmelCase     				=image_size
           __UpperCAmelCase     				=patch_size
           __UpperCAmelCase     				=num_channels
           __UpperCAmelCase     				=qkv_bias
           __UpperCAmelCase     				=decoder_num_attention_heads
           __UpperCAmelCase     				=decoder_hidden_size
           __UpperCAmelCase     				=decoder_num_hidden_layers
           __UpperCAmelCase     				=decoder_intermediate_size
           __UpperCAmelCase     				=mask_ratio
           __UpperCAmelCase     				=norm_pix_loss






import math





def      lowerCamelCase_					(							lowerCamelCase__       ):

				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(lowerCamelCase__       ) + 1       )      ,					6       ):
								if number % i == 0 or number % (i + 2) == 0:
												return False
				return True





def      lowerCamelCase_					(							lowerCamelCase__ = 1_0_0_0_1       ):

				try:
								lowerCamelCase_         =     int(lowerCamelCase__       )
				except (TypeError, ValueError):
								raise TypeError("Parameter nth must be int or castable to int."       ) from None
				if nth <= 0:
								raise ValueError("Parameter nth must be greater than or equal to one."       )
				lowerCamelCase_         =     []
				lowerCamelCase_         =     2
				while len(lowerCamelCase__       ) < nth:
								if is_prime(lowerCamelCase__       ):
												primes.append(lowerCamelCase__       )
												num += 1
								else:
												num += 1
				return primes[len(lowerCamelCase__       ) - 1]


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


