




import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


_lowerCamelCase			 =						logging.get_logger(__name__)



class 			a     (   _A			):

     '''simple docstring'''





     def __init__(	self   :			Dict					,    *__snake_case   :			List[str]					,    **__snake_case   :			int				):
         warnings.warn(
             '''The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
             ''' Please use MobileNetV1ImageProcessor instead.'''					,    __snake_case					,    )
         super().__init__(*__snake_case					,    **__snake_case				)











from __future__ import annotations




def 					SCREAMING_SNAKE_CASE	(       __UpperCamelCase			:						list[int | float]      )  ->							int | float:
    if len(__UpperCamelCase      ) == 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)





