from __future__ import annotations

def 			lowercase_				(			_lowerCamelCase							:       list[int | float]		,	_lowerCamelCase							:       int		,	_lowerCamelCase							:       int):







    if len(_lowerCamelCase) == 0:
        raise ValueError("find_max() arg is an empty sequence")
    if (
        left >= len(_lowerCamelCase)
        or left < -len(_lowerCamelCase)
        or right >= len(_lowerCamelCase)
        or right < -len(_lowerCamelCase)
    ):
        raise IndexError("list index out of range")
    if left == right:
        return nums[left]
    lowercase__ :   List[str]    					=				(left + right) >> 1  # the middle
    lowercase__ :   Dict    					=				find_max(_lowerCamelCase		,	_lowerCamelCase		,	_lowerCamelCase)  # find max in range[left, mid]
    lowercase__ :   Tuple    					=				find_max(_lowerCamelCase		,	mid + 1		,	_lowerCamelCase)  # find max in range[mid + 1, right]

    return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)









import warnings

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


__lowerCAmelCase		:				List[Any]       			=		logging.get_logger(__name__)




class     snake_case__							(_UpperCamelCase   ):
				"""simple docstring"""



				def __init__(      self				:     Union[str, Any]					,      *__lowerCamelCase				:     Optional[Any]					,      **__lowerCamelCase				:     Dict							)					->     None:
							warnings.warn(
							    "The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use DonutImageProcessor instead."					,      __lowerCamelCase					,      )
							super().__init__(*__lowerCamelCase					,      **__lowerCamelCase							)






