




import warnings

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


snake_case_					:					Any       						=			logging.get_logger(__name__)







class __snake_case     (     a						):







   def __init__( self						:		Dict   ,		*_snake_case						:		List[str]   ,		**_snake_case						:		Dict):

        """simple docstring"""


        warnings.warn(
            '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
            ''' Please use MobileNetV2ImageProcessor instead.'''   ,		_snake_case   ,		)
        super().__init__(*_snake_case   ,		**_snake_case)












import math


def   A		(__A  :       int			)  -> float:







     """simple docstring"""


     UpperCAmelCase_		=				math.log(2  ,							10			) * number
     UpperCAmelCase_		=				round((log_number - int(__A			))  ,							15			)

     return difference


def   A		(__A  :       int = 678910			)  -> int:







     """simple docstring"""


     UpperCAmelCase_		=				90
     UpperCAmelCase_		=				0

     UpperCAmelCase_		=				math.log(1.23  ,							10			)
     UpperCAmelCase_		=				math.log(1.24  ,							10			)
     UpperCAmelCase_		=				0

     while position < number:
          UpperCAmelCase_		=				log_difference(__A			)

          if difference >= upper_limit:
               power_iterator += 93

          elif difference < lower_limit:
               power_iterator += 196

          else:
               UpperCAmelCase_		=				power_iterator
               power_iterator += 196
               position += 1

     return previous_power


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    print(f"{solution() = }")






