





import math
def   _A (	SCREAMING_SNAKE_CASE  :     int		):





  """simple docstring"""



  a__			:      Any            =math.log(2 , 10		) * number
  a__			:      Dict            =round((log_number - int(lowercase__		)) , 15		)

  return difference
def   _A (	SCREAMING_SNAKE_CASE  :     int = 678_910		):





  """simple docstring"""



  a__			:      str            =90
  a__			:      Union[str, Any]            =0

  a__			:      Optional[int]            =math.log(1.2_3 , 10		)
  a__			:      Union[str, Any]            =math.log(1.2_4 , 10		)
  a__			:      Union[str, Any]            =0

  while position < number:
    a__			:      Optional[Any]            =log_difference(lowercase__		)

    if difference >= upper_limit:
      power_iterator += 93

    elif difference < lower_limit:
      power_iterator += 196

    else:
      a__			:      Union[str, Any]            =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_detr import DetrImageProcessor


UpperCAmelCase			:			List[Any]	  = logging.get_logger(__name__)







class        __lowerCAmelCase (					UpperCamelCase__):







      def __init__(					self	,   *lowerCAmelCase__	,   **lowerCAmelCase__							)     ->		None:



        '''simple docstring'''




        warnings.warn(
            "The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use DetrImageProcessor instead."	,   lowerCAmelCase__	,   )
        super().__init__(*lowerCAmelCase__	,   **lowerCAmelCase__							)






