

def  __a    (				SCREAMING_SNAKE_CASE ) ->       list:






    '''simple docstring'''
    __UpperCAmelCase			   =     []
    __UpperCAmelCase			   =     1

    for i in range(len(SCREAMING_SNAKE_CASE ) ):
        if i + 1 < len(SCREAMING_SNAKE_CASE ) and text[i] == text[i + 1]:
            count += 1
        else:
            encoded.append((text[i], count) )
            __UpperCAmelCase			   =     1

    return encoded


def  __a    (				SCREAMING_SNAKE_CASE ) ->       str:






    '''simple docstring'''
    return "".join(char * length for char, length in encoded )


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

       testmod(name='run_length_encode', verbose=True)
       testmod(name='run_length_decode', verbose=True)







import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


A_						:     int			  =				logging.get_logger(__name__)
class    A_				( _a  ):


    '''simple docstring'''






    def __init__(self       , *lowercase__       , **lowercase__					)       -> None:
        warnings.warn(
            '''The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
            ''' Please use ConvNextImageProcessor instead.'''       , lowercase__       , )
        super().__init__(*lowercase__       , **lowercase__					)




