




import warnings

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


lowerCamelCase__				:     Optional[Any]			       =							logging.get_logger(__name__)





class  lowerCamelCase_							(   _SCREAMING_SNAKE_CASE      ):


 '''simple docstring'''







 def __init__(							self						:	Dict       ,       *_lowerCAmelCase						:	str       ,       **_lowerCAmelCase						:	List[str]		):
       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		)





from collections import defaultdict

def       UpperCAmelCase_							(   __UpperCAmelCase		:			int = 5							)      ->				int:
      SCREAMING_SNAKE_CASE_					=    defaultdict(__UpperCAmelCase							)
      SCREAMING_SNAKE_CASE_					=    0

      while True:
            SCREAMING_SNAKE_CASE_					=    get_digits(__UpperCAmelCase							)
            freqs[digits].append(__UpperCAmelCase							)

            if len(freqs[digits]							) == max_base:
                  SCREAMING_SNAKE_CASE_					=    freqs[digits][0] ** 3
                  return base

            num += 1

def       UpperCAmelCase_							(   __UpperCAmelCase		:			int							)      ->				str:
      return "".join(sorted(str(num**3							)							)							)


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