

import math
from timeit import timeit



def  snake_case_(_UpperCamelCase	)				->      int:



  """simple docstring"""






  _snake_case		=				0
  _snake_case		=				abs(_UpperCamelCase	)
  while True:
    _snake_case		=				n // 10
    digits += 1
    if n == 0:
      break
  return digits



def  snake_case_(_UpperCamelCase	)				->      int:



  """simple docstring"""






  return 1 if n == 0 else math.floor(math.log(abs(_UpperCamelCase	)					,			10	) + 1	)



def  snake_case_(_UpperCamelCase	)				->      int:



  """simple docstring"""






  return len(str(abs(_UpperCamelCase	)	)	)



def  snake_case_()				->      None:



  """simple docstring"""






  from collections.abc import Callable

  def benchmark_a_function(_UpperCamelCase					,			_UpperCamelCase	) -> None:
    _snake_case		=				F"""{func.__name__}({value})"""
    _snake_case		=				timeit(F"""__main__.{call}"""					,			setup='''import __main__'''	)
    print(F"""{call}: {func(_UpperCamelCase	)} -- {timing} seconds"""	)

  for value in (262_144, 1_125_899_906_842_624, 1_267_650_600_228_229_401_496_703_205_376):
    for func in (num_digits, num_digits_fast, num_digits_faster):
      benchmark_a_function(_UpperCamelCase					,			_UpperCamelCase	)
    print()


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 benchmark()




import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


__A     						=      logging.get_logger(__name__)



class     lowercase_       (    __lowercase	):



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

