code: 
  
  
  '''simple docstring'''
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_convnext import ConvNextImageProcessor
  
  
  A__	:      List[Any]				=						logging.get_logger(__name__)
  
  
  
  
  
  class      UpperCAmelCase_						(_UpperCAmelCase						):
  
  
  
  
  
      """simple docstring"""
  
  
  
  
  
  
      def __init__(							self    ,  *SCREAMING_SNAKE_CASE_    ,  **SCREAMING_SNAKE_CASE_			)       ->  None:
           warnings.warn(
               'The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
               ' Please use ConvNextImageProcessor instead.'    ,  SCREAMING_SNAKE_CASE_    ,  )
           super().__init__(*SCREAMING_SNAKE_CASE_    ,  **SCREAMING_SNAKE_CASE_			)
  
  
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  
  
  def     UpperCAmelCase__      (			UpperCAmelCase_					:       str							)  ->	int:
       __lowerCamelCase     :			Tuple              =	str(UpperCAmelCase_							).strip()
       if not bin_string:
            raise ValueError('Empty string was passed to the function'							)
       __lowerCamelCase     :			Optional[int]              =	bin_string[0] == '-'
       if is_negative:
            __lowerCamelCase     :			List[Any]              =	bin_string[1:]
       if not all(char in '01' for char in bin_string							):
            raise ValueError('Non-binary value was passed to the function'							)
       __lowerCamelCase     :			Optional[int]              =	0
       for char in bin_string:
            __lowerCamelCase     :			str              =	2 * decimal_number + int(UpperCAmelCase_							)
       return -decimal_number if is_negative else decimal_number
  
  
  if __name__ == "__main__":
        from doctest import testmod
  
        testmod()
  
  
  
  
  
  
  