



'''simple docstring'''






def 				snake_case_  (      _lowerCAmelCase						:		str						)   ->     list:
							UpperCAmelCase				: str											=	[0] * len(_lowerCAmelCase						)

							for i in range(1     ,   len(_lowerCAmelCase						)						):
														# use last results for better performance - dynamic programming
														UpperCAmelCase				: Dict											=	prefix_result[i - 1]
														while j > 0 and input_string[i] != input_string[j]:
																					UpperCAmelCase				: Dict											=	prefix_result[j - 1]

														if input_string[i] == input_string[j]:
																					j += 1
														UpperCAmelCase				: str											=	j

							return prefix_result


def 				snake_case_  (      _lowerCAmelCase						:		str						)   ->     int:
							return max(prefix_function(_lowerCAmelCase						)						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()




'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


UpperCamelCase__:     Dict										=    logging.get_logger(__name__)

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	def __init__(		self    :  Optional[Any]	,    *__snake_case    :  List[str]	,    **__snake_case    :  str	)    ->	None:
								warnings.warn(
								    '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
								    ''' use BeitImageProcessor instead.'''	,    __snake_case	,    )
								super().__init__(*__snake_case	,    **__snake_case	)





