


"""simple docstring"""







def 	lowercase     (							A_    ,  A_			)-> int:
  '''simple docstring'''







  a		:						Union[str, Any] 				=     1.0
  for i in range(1    ,  r + 1			):
    ret *= (n + 1 - i) / i
  return round(A_			)


def 	lowercase     (							A_			)-> int:
  '''simple docstring'''







  return choose(8 + n    ,  A_			) + choose(9 + n    ,  A_			) - 10


def 	lowercase     (							A_			)-> int:
  '''simple docstring'''







  return sum(non_bouncy_exact(A_			) for i in range(1    ,  n + 1			)			)


def 	lowercase     (							A_ = 100			)-> int:
  '''simple docstring'''







  return non_bouncy_upto(A_			)


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










"""simple docstring"""







import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


__lowercase          = logging.get_logger(__name__)






class 		_A    (    _a    ):







    """simple docstring"""




    def __init__(   self							:       Optional[int]							,					*__UpperCAmelCase							:       Dict							,					**__UpperCAmelCase							:       Any):
      warnings.warn(
          "The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
          " use LevitImageProcessor instead."							,					__UpperCAmelCase							,					)
      super().__init__(*__UpperCAmelCase							,					**__UpperCAmelCase)






