






import warnings

from ...utils import logging
from .image_processing_vilt import ViltImageProcessor


_UpperCamelCase   :						Optional[int]     						= logging.get_logger(__name__)






class __a   (   snake_case_				):



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













"""simple docstring"""


import math




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


if __name__ == "__main__":
   import doctest

   doctest.testmod()





