


from collections.abc import Callable
def 							_UpperCAmelCase				(UpperCamelCase__     :  Callable[[float], float]				,							UpperCamelCase__     :  float				,							UpperCamelCase__     :  float						):
       _A      :       float				    = a
       _A      :       float				    = b
       if function(UpperCamelCase__						) == 0:  # one of the a or b is a root for the function
              return a
       elif function(UpperCamelCase__						) == 0:
              return b
       elif (
           function(UpperCamelCase__						) * function(UpperCamelCase__						) > 0
       ):  # if none of these are root and they are both positive or negative,
              # then this algorithm can't find the root
              raise ValueError("could not find root in given interval."						)
       else:
              _A      :       float				    = start + (end - start) / 2.0
              while abs(start - mid						) > 10**-7:  # until precisely equals to 10^-7
                     if function(UpperCamelCase__						) == 0:
                            return mid
                     elif function(UpperCamelCase__						) * function(UpperCamelCase__						) < 0:
                            _A      :       Optional[Any]				    = mid
                     else:
                            _A      :       List[Any]				    = mid
                     _A      :       Optional[Any]				    = start + (end - start) / 2.0
              return mid
def 							_UpperCAmelCase				(UpperCamelCase__     :  float						):
       return x**3 - 2 * x - 5


if __name__ == "__main__":
    print(bisection(f, 1, 10_00))

    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
