


import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


lowerCamelCase__							:						List[str]							     =   logging.get_logger(__name__)
class 		__magic_name__						(snake_case_				):





     '''simple docstring'''



     def __init__(					self:Any     ,		*_a:Optional[Any]     ,		**_a:Optional[Any]   ):
       warnings.warn(
           '''The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
           ''' use BeitImageProcessor instead.'''     ,		_a     ,		)
       super().__init__(*_a     ,		**_a   )





def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase = 100				)    ->				int:
  snake_case__						= set()

  snake_case__						= 0

  snake_case__						= n + 1  # maximum limit

  for a in range(2							,   __lowerCAmelCase				):
    for b in range(2							,   __lowerCAmelCase				):
      snake_case__						= a**b  # calculates the current power
      collect_powers.add(__lowerCAmelCase				)  # adds the result to the set
  return len(__lowerCAmelCase				)


if __name__ == "__main__":
   print("""Number of terms """, solution(int(str(input()).strip())))

