
'''simple docstring'''



from __future__ import annotations


def A (__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]
						_lowerCAmelCase    		=					(left + right) >> 1  # the middle
						_lowerCAmelCase    		=					find_max(__lowerCamelCase					,      __lowerCamelCase					,      __lowerCamelCase						)  # find max in range[left, mid]
						_lowerCAmelCase    		=					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)


'''simple docstring'''



import warnings

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


_lowercase          =						logging.get_logger(__name__)




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						def __init__(   self       ,  *_lowercase       ,  **_lowercase ):

												"""simple docstring"""



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