

from __future__ import annotations



def 					lowerCAmelCase__							(	SCREAMING_SNAKE_CASE_:							int      )			->      Optional[int]:




				'''simple docstring'''





				A__        =			str(UpperCAmelCase__      )
				return len(UpperCAmelCase__      ) == 9 and set(UpperCAmelCase__      ) == set("123456789"      )



def 					lowerCAmelCase__							(	)			->      Dict:




				'''simple docstring'''





				for base_num in range(9_9_9_9	,       4_9_9_9	,       -1      ):
								A__        =			1_0_0_0_0_2 * base_num
								if is_9_pandigital(UpperCAmelCase__      ):
												return candidate

				for base_num in range(3_3_3	,       9_9	,       -1      ):
								A__        =			1_0_0_2_0_0_3 * base_num
								if is_9_pandigital(UpperCAmelCase__      ):
												return candidate

				return None


if __name__ == "__main__":
	print(f"""{solution() = }""")




import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


lowerCAmelCase__	   = logging.get_logger(__name__)

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self      ,      *lowercase      ,      **lowercase       )  ->						None:
							'''simple docstring'''






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

