




from __future__ import annotations


def   A		(__A  :       list[int | float]			)  -> int | float:







     """simple docstring"""


     if len(__A			) == 0:
          raise ValueError('''find_max() arg is an empty sequence'''			)
     UpperCAmelCase_		=				nums[0]
     for x in nums:
          if x > max_num:
               UpperCAmelCase_		=				x
     return max_num


if __name__ == "__main__":
    import doctest

    doctest.testmod(verbose=True)












import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


snake_case_					:					Dict       						=			logging.get_logger(__name__)







class __snake_case     (     a						):







   def __init__( self						:		Union[str, Any]   ,		*_snake_case						:		int   ,		**_snake_case						:		List[str]):

        """simple docstring"""


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






