




def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       str	,							lowercase	:       bool = False     ):


      '''simple docstring'''



      if not isinstance(lowercase	,							lowercase     ):
            lowerCamelCase_		     =    f"""Expected string as input, found {type(lowercase     )}"""
            raise ValueError(lowercase     )
      if not isinstance(lowercase	,							lowercase     ):
            lowerCamelCase_		     =    f"""Expected boolean as use_pascal parameter, found {type(lowercase     )}"""
            raise ValueError(lowercase     )

      lowerCamelCase_		     =    input_str.split('_'     )

      lowerCamelCase_		     =    0 if use_pascal else 1

      lowerCamelCase_		     =    words[start_index:]

      lowerCamelCase_		     =    [word[0].upper() + word[1:] for word in words_to_capitalize]

      lowerCamelCase_		     =    '' if use_pascal else words[0]

      return "".join([initial_word, *capitalized_words]     )


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

 testmod()









import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


lowerCamelCase				:		Any     =   logging.get_logger(__name__)







class   A(						UpperCamelCase   ):



 '''simple docstring'''


 def __init__(				self					:  Dict						,							*A_					:  Optional[int]						,							**A_					:  int  )   ->	None:

       """simple docstring"""






       warnings.warn(
           'The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
           ' use DonutImageProcessor instead.'						,							A_						,							)
       super().__init__(*A_						,							**A_  )



