




'''simple docstring'''

from __future__ import annotations




def    snake_case__     (  a	)			->       list[int]:





			'''simple docstring'''






			snake_case__          =						[0] * max_one

			for i in range(0       ,      a	):
						snake_case__          =						i

			for i in range(2       ,      a	):
						if totients[i] == i:
									for j in range(a       ,      a       ,      a	):
												totients[j] -= totients[j] // i

			return totients




def    snake_case__     (  a       ,      a	)			->       bool:





			'''simple docstring'''






			return sorted(str(a	)	) == sorted(str(a	)	)




def    snake_case__     (  a = 1000_0000	)			->       int:





			'''simple docstring'''






			snake_case__          =						1  # i
			snake_case__          =						0  # φ(i)
			snake_case__          =						get_totients(max_n + 1	)

			for i in range(2       ,      max_n + 1	):
						snake_case__          =						totients[i]

						if i * min_denominator < min_numerator * t and has_same_digits(a       ,      a	):
									snake_case__          =						i
									snake_case__          =						t

			return min_numerator


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





'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


a__         =     logging.get_logger(__name__)





class __magic_name__(						__lowerCAmelCase      ):






						def __init__(   self						:						Optional[Any]					,   *__UpperCamelCase						:						Union[str, Any]					,   **__UpperCamelCase						:						Dict       ):



									'''simple docstring'''






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