


import math







def 						_lowercase       (     __lowerCamelCase			:					Any			)  ->   float:





     '''simple docstring'''





     UpperCamelCase__							:  Optional[int]								=     math.log(2		,10			) * number
     UpperCamelCase__							:  Any								=     round((log_number - int(snake_case__			))		,15			)

     return difference







def 						_lowercase       (     __lowerCamelCase			:					List[Any] = 678910			)  ->   int:





     '''simple docstring'''





     UpperCamelCase__							:  Dict								=     90
     UpperCamelCase__							:  Any								=     0

     UpperCamelCase__							:  Tuple								=     math.log(1.2_3		,10			)
     UpperCamelCase__							:  Union[str, Any]								=     math.log(1.2_4		,10			)
     UpperCamelCase__							:  Tuple								=     0

     while position < number:
          UpperCamelCase__							:  int								=     log_difference(snake_case__			)

          if difference >= upper_limit:
               power_iterator += 93

          elif difference < lower_limit:
               power_iterator += 196

          else:
               UpperCamelCase__							:  Dict								=     power_iterator
               power_iterator += 196
               position += 1

     return previous_power


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  print(F'{solution() = }')








import warnings

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


_SCREAMING_SNAKE_CASE :					List[str]			=	logging.get_logger(__name__)

class  UpperCamelCase__ ( __lowerCamelCase			):






      def __init__(     self					:   List[str],		*__lowerCamelCase					:   Optional[int],		**__lowerCamelCase					:   Dict   )  -> None:
           warnings.warn(
               '''The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
               ''' Please use MobileNetV1ImageProcessor instead.''',		__lowerCamelCase,		)
           super().__init__(*__lowerCamelCase,		**__lowerCamelCase   )




