
"""simple docstring"""





def 						_lowerCAmelCase				(				UpperCamelCase_ = 100				):
		__SCREAMING_SNAKE_CASE            = set()

		__SCREAMING_SNAKE_CASE            = 0

		__SCREAMING_SNAKE_CASE            = n + 1  # maximum limit

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


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






"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


__magic_name__       =			logging.get_logger(__name__)
class 						SCREAMING_SNAKE_CASE_ (						__a ):




		"""simple docstring"""





		def __init__(     self							,  *lowerCAmelCase__							,  **lowerCAmelCase__):
				warnings.warn(
				    """The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
				    """ use YolosImageProcessor instead."""							,  lowerCAmelCase__							,  )
				super().__init__(*lowerCAmelCase__							,  **lowerCAmelCase__)




