


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCAmelCase		       =							logging.get_logger(__name__)

__lowerCAmelCase		       =							{
    '''facebook/data2vec-vision-base-ft''': (
        '''https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'''
    ),
}





class   __a			(    __UpperCamelCase      ):
 __lowercase :							Any        = 'data2vec-vision'
 def __init__(   self				, lowerCAmelCase__=768				, lowerCAmelCase__=12				, lowerCAmelCase__=12				, lowerCAmelCase__=3_072				, lowerCAmelCase__="gelu"				, lowerCAmelCase__=0.0				, lowerCAmelCase__=0.0				, lowerCAmelCase__=0.0_2				, lowerCAmelCase__=1E-12				, lowerCAmelCase__=224				, lowerCAmelCase__=16				, lowerCAmelCase__=3				, lowerCAmelCase__=False				, lowerCAmelCase__=False				, lowerCAmelCase__=False				, lowerCAmelCase__=False				, lowerCAmelCase__=0.1				, lowerCAmelCase__=0.1				, lowerCAmelCase__=True				, lowerCAmelCase__=[3, 5, 7, 11]				, lowerCAmelCase__=[1, 2, 3, 6]				, lowerCAmelCase__=True				, lowerCAmelCase__=0.4				, lowerCAmelCase__=256				, lowerCAmelCase__=1				, lowerCAmelCase__=False				, lowerCAmelCase__=255				, **lowerCAmelCase__				, )					->				List[str]:




        '''simple docstring'''
        super().__init__(**lowerCAmelCase__ )

        lowercase__:   Optional[int]  			=   hidden_size
        lowercase__:   List[Any]  			=   num_hidden_layers
        lowercase__:   Optional[Any]  			=   num_attention_heads
        lowercase__:   str  			=   intermediate_size
        lowercase__:   Dict  			=   hidden_act
        lowercase__:   Dict  			=   hidden_dropout_prob
        lowercase__:   List[Any]  			=   attention_probs_dropout_prob
        lowercase__:   List[str]  			=   initializer_range
        lowercase__:   Union[str, Any]  			=   layer_norm_eps

        lowercase__:   Dict  			=   image_size
        lowercase__:   Union[str, Any]  			=   patch_size
        lowercase__:   int  			=   num_channels
        lowercase__:   Union[str, Any]  			=   use_mask_token
        lowercase__:   List[str]  			=   use_absolute_position_embeddings
        lowercase__:   Union[str, Any]  			=   use_relative_position_bias
        lowercase__:   List[Any]  			=   use_shared_relative_position_bias
        lowercase__:   Any  			=   layer_scale_init_value
        lowercase__:   int  			=   drop_path_rate
        lowercase__:   Optional[Any]  			=   use_mean_pooling
        # decode head attributes (semantic segmentation)
        lowercase__:   Union[str, Any]  			=   out_indices
        lowercase__:   Any  			=   pool_scales
        # auxiliary head attributes (semantic segmentation)
        lowercase__:   List[Any]  			=   use_auxiliary_head
        lowercase__:   int  			=   auxiliary_loss_weight
        lowercase__:   Optional[int]  			=   auxiliary_channels
        lowercase__:   Optional[Any]  			=   auxiliary_num_convs
        lowercase__:   Optional[int]  			=   auxiliary_concat_input
        lowercase__:   List[str]  			=   semantic_loss_ignore_index





class   __a			(    __UpperCamelCase      ):
 __lowercase :							Optional[int]        = version.parse('1.11'      )
 @property
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				Mapping[str, Mapping[int, str]]:




        '''simple docstring'''
        return OrderedDict(
            [
                ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
            ] )
 @property
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				float:




        '''simple docstring'''
        return 1E-4






import math




def    snake_case_     (  snake_case			,							snake_case     )  ->				float:
       return math.pow(snake_case			,							2     ) - a




def    snake_case_     (  snake_case     )  ->				float:
       return 2 * x




def    snake_case_     (  snake_case     )  ->				float:
       lowercase__:   Dict  			=   2.0

       while start <= a:
              lowercase__:   str  			=   math.pow(snake_case			,							2     )

       return start




def    snake_case_     (  snake_case			,							snake_case = 99_99			,							snake_case = 0.0_0_0_0_0_0_0_0_0_0_0_0_0_1     )  ->				float:

       if a < 0:
              raise ValueError('math domain error'     )

       lowercase__:   Tuple  			=   get_initial_point(snake_case     )

       for _ in range(snake_case     ):
              lowercase__:   List[Any]  			=   value
              lowercase__:   Any  			=   value - fx(snake_case			,							snake_case     ) / fx_derivative(snake_case     )
              if abs(prev_value - value     ) < tolerance:
                     return value

       return value


if __name__ == "__main__":
 from doctest import testmod

 testmod()


