


"""simple docstring"""


from __future__ import annotations

import math
import random






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



"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


a_											=			logging.get_logger(__name__)
class snake_case					(     _UpperCamelCase):







		def __init__(    self					:				str			,      *a__					:				Union[str, Any]			,      **a__					:				Optional[Any]						)				->  None:





						'''simple docstring'''







						warnings.warn(
						    "The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
						    " Please use MobileNetV2ImageProcessor instead."			,      a__			,      )
						super().__init__(*a__			,      **a__						)