


import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


a_ :List[str]  							=			logging.get_logger(__name__)

class 							lowercase  (						_UpperCAmelCase			):







     def __init__(						self :						Dict   ,   *_lowercase :						Tuple   ,   **_lowercase :						Tuple      ):
           warnings.warn(
               '''The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
               ''' use FlavaImageProcessor instead.'''   ,   _lowercase   ,   )
           super().__init__(*_lowercase   ,   **_lowercase      )










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())))

