





import warnings

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


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





class 						_A( snake_case__       ):


    """simple docstring"""


    def __init__(      self					, *_A					, **_A					):
         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					)











from __future__ import annotations

import math
import random







def 			_SCREAMING_SNAKE_CASE    (       a ,						a ,						a  )				->				list[int]:
					__A     :						int          =    d * e - 1
					__A     :						List[str]          =    0
					__A     :						Optional[Any]          =    0
					while p == 0:
										__A     :						List[Any]          =    random.randint(2 ,						n - 1  )
										__A     :						Optional[int]          =    k
										while True:
															if t % 2 == 0:
																				__A     :						Tuple          =    t // 2
																				__A     :						List[str]          =    (g**t) % n
																				__A     :						List[Any]          =    math.gcd(x - 1 ,						a  )
																				if x > 1 and y > 1:
																									__A     :						List[str]          =    y
																									__A     :						str          =    n // y
																									break  # find the correct factors
															else:
																				break  # t is not divisible by 2, break and choose another g
					return sorted([p, q]  )


if __name__ == "__main__":
				import doctest

				doctest.testmod()




