




from __future__ import annotations

import math
import random

def       UpperCAmelCase_							(   __UpperCAmelCase		:			int    ,    __UpperCAmelCase		:			int    ,    __UpperCAmelCase		:			int							)      ->				list[int]:
      SCREAMING_SNAKE_CASE_					=    d * e - 1
      SCREAMING_SNAKE_CASE_					=    0
      SCREAMING_SNAKE_CASE_					=    0
      while p == 0:
            SCREAMING_SNAKE_CASE_					=    random.randint(2    ,    n - 1							)
            SCREAMING_SNAKE_CASE_					=    k
            while True:
                  if t % 2 == 0:
                        SCREAMING_SNAKE_CASE_					=    t // 2
                        SCREAMING_SNAKE_CASE_					=    (g**t) % n
                        SCREAMING_SNAKE_CASE_					=    math.gcd(x - 1    ,    __UpperCAmelCase							)
                        if x > 1 and y > 1:
                              SCREAMING_SNAKE_CASE_					=    y
                              SCREAMING_SNAKE_CASE_					=    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()





import warnings

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


lowerCamelCase__				:     Optional[Any]			       =							logging.get_logger(__name__)





class  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE      ):


 '''simple docstring'''







 def __init__(							self						:	Dict       ,       *_lowerCAmelCase						:	str       ,       **_lowerCAmelCase						:	List[str]		):
       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		)