


'''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_			)










'''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()






