


from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def 							_UpperCAmelCase				(UpperCamelCase__     :  int						):
       _A      :       Optional[int]				    = prime_factors(UpperCamelCase__						)
       if is_square_free(UpperCamelCase__						):
              return -1 if len(UpperCamelCase__						) % 2 else 1
       return 0


if __name__ == "__main__":
    import doctest

    doctest.testmod()




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


lowerCAmelCase__      		= logging.get_logger(__name__)

lowerCAmelCase__      		= {
    '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__       (				a):




     '''simple docstring'''
     __SCREAMING_SNAKE_CASE  			= "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 ,						)			->				int:
            super().__init__(**__lowerCamelCase)

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