code: 
  
  
  
  
  
  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() = }""")
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  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__							)
  
  
  
  
  
  
  