"""simple docstring"""







def       A__    (	lowercase_     :	int      , lowercase_     :	int						)  ->							int:
   __lowerCamelCase    		=					1.0
   for i in range(1      , r + 1						):
      ret *= (n + 1 - i) / i
   return round(lowercase_						)



def       A__    (	lowercase_     :	int						)  ->							int:
   return choose(8 + n      , lowercase_						) + choose(9 + n      , lowercase_						) - 10



def       A__    (	lowercase_     :	int						)  ->							int:
   return sum(non_bouncy_exact(lowercase_						) for i in range(1      , n + 1						)						)



def       A__    (	lowercase_     :	int = 100						)  ->							int:
   return non_bouncy_upto(lowercase_						)


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








'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_vit import ViTImageProcessor


A__ :		Optional[int]					=logging.get_logger(__name__)







class 			__A					(			_SCREAMING_SNAKE_CASE      ):
 def __init__( self      :     Union[str, Any]					, *lowerCamelCase      :     Dict					, **lowerCamelCase      :     Optional[Any]							):



   """simple docstring"""





   warnings.warn(
       """The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
       """ use ViTImageProcessor instead."""					, lowerCamelCase					, )
   super().__init__(*lowerCamelCase					, **lowerCamelCase							)



