
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


__magic_name__            =  logging.get_logger(__name__)

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




class 					_SCREAMING_SNAKE_CASE  (      __UpperCamelCase ):
      _A						:		Any    	=     'data2vec-vision'
      def __init__(			self		,	lowerCamelCase=7_68		,	lowerCamelCase=12		,	lowerCamelCase=12		,	lowerCamelCase=30_72		,	lowerCamelCase="gelu"		,	lowerCamelCase=0.0		,	lowerCamelCase=0.0		,	lowerCamelCase=0.0_2		,	lowerCamelCase=1e-12		,	lowerCamelCase=2_24		,	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=2_56		,	lowerCamelCase=1		,	lowerCamelCase=False		,	lowerCamelCase=2_55		,	**lowerCamelCase		,	):
          super().__init__(**lowerCamelCase )

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

          snake_case__						=				image_size
          snake_case__						=				patch_size
          snake_case__						=				num_channels
          snake_case__						=				use_mask_token
          snake_case__						=				use_absolute_position_embeddings
          snake_case__						=				use_relative_position_bias
          snake_case__						=				use_shared_relative_position_bias
          snake_case__						=				layer_scale_init_value
          snake_case__						=				drop_path_rate
          snake_case__						=				use_mean_pooling
          # decode head attributes (semantic segmentation)
          snake_case__						=				out_indices
          snake_case__						=				pool_scales
          # auxiliary head attributes (semantic segmentation)
          snake_case__						=				use_auxiliary_head
          snake_case__						=				auxiliary_loss_weight
          snake_case__						=				auxiliary_channels
          snake_case__						=				auxiliary_num_convs
          snake_case__						=				auxiliary_concat_input
          snake_case__						=				semantic_loss_ignore_index





class 					_SCREAMING_SNAKE_CASE  (      __UpperCamelCase ):
      _A						:		Dict    	=     version.parse('1.11' )
      @property
      def A_			(			self ):
          return OrderedDict(
              [
                  ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
              ] )



      @property
      def A_			(			self ):
          return 1e-4





from __future__ import annotations





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    if len(__lowerCAmelCase							) == 0:
        return False
    snake_case__						=				len(__lowerCAmelCase							) // 2
    if a_list[midpoint] == item:
        return True
    if item < a_list[midpoint]:
        return binary_search(a_list[:midpoint]    ,		__lowerCAmelCase							)
    else:
        return binary_search(a_list[midpoint + 1 :]    ,		__lowerCAmelCase							)


if __name__ == "__main__":
     __magic_name__            =  input('''Enter numbers separated by comma:\n''').strip()
     __magic_name__            =  [int(item.strip()) for item in user_input.split(''',''')]
     __magic_name__            =  int(input('''Enter the number to be found in the list:\n''').strip())
     __magic_name__            =  '''''' if binary_search(sequence, target) else '''not '''
     print(F'''{target} was {not_str}found in {sequence}''')



