"""simple docstring"""






from __future__ import annotations



def   a_						(					lowerCamelCase       ):
				UpperCAmelCase__             =							str(lowerCamelCase       )
				return len(lowerCamelCase       ) == 9 and set(lowerCamelCase       ) == set('123456789'       )



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

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

				return None


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








"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_lowerCAmelCase    :Optional[int]     =					logging.get_logger(__name__)
class 							_UpperCAmelCase							( a      ):





     '''simple docstring'''



     def __init__(					self       ,	*A       ,	**A		)							->					None:
         warnings.warn(
             '''The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
             ''' use DonutImageProcessor instead.'''       ,	A       ,	)
         super().__init__(*A       ,	**A		)


