





import math
def  __UpperCamelCase    (						snake_case      )    ->		list[int]:


   '''simple docstring'''







   if not isinstance(snake_case							,			snake_case      ):
      __A    =  F"Input value of [number={number}] must be an integer"
      raise TypeError(snake_case      )
   if number < 1:
      __A    =  F"Input value of [number={number}] must be a positive integer"
      raise ValueError(snake_case      )
   __A    =  [number]
   while number != 1:
      if number % 2 == 0:
         __A    =  math.floor(math.sqrt(snake_case      )      )
      else:
         __A    =  math.floor(
             math.sqrt(snake_case      ) * math.sqrt(snake_case      ) * math.sqrt(snake_case      )      )
      sequence.append(snake_case      )
   return sequence


if __name__ == "__main__":
    import doctest

    doctest.testmod()








import warnings

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


_UpperCamelCase       :				Tuple           =			logging.get_logger(__name__)







class 		_lowerCAmelCase(		_a):

  """simple docstring"""







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

