




'''simple docstring'''






def 		a_(			lowerCamelCase   )					->Optional[int]:






       '''simple docstring'''




       lowercase	:		str    =   [True for i in range(n + 1   )]
       lowercase	:		List[Any]    =   [i - 1 for i in range(n + 1   )]
       lowercase	:		List[str]    =   []
       for i in range(2 ,					n + 1   ):
              if is_prime[i]:
                     primes.append(_lowerCamelCase   )
              for j in range(0 ,					len(_lowerCamelCase   )   ):
                     if i * primes[j] >= n:
                            break
                     lowercase	:		List[Any]    =   False

                     if i % primes[j] == 0:
                            lowercase	:		int    =   totients[i] * primes[j]
                            break

                     lowercase	:		Optional[Any]    =   totients[i] * (primes[j] - 1)

       return totients


if __name__ == "__main__":
      import doctest

      doctest.testmod()









import warnings

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


__SCREAMING_SNAKE_CASE     =	logging.get_logger(__name__)

class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''







						def __init__(						self   :      Dict						,						*__lowerCamelCase   :      Tuple						,						**__lowerCamelCase   :      Dict			)   ->					None:
									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			)