





'''simple docstring'''




def      __lowerCamelCase       (	__lowerCAmelCase    :				Any	,  __lowerCAmelCase    :				Optional[int]						)						->   int:
   snake_case      		=					1.0
   for i in range(1	,  r + 1						):
      ret *= (n + 1 - i) / i
   return round(__lowerCAmelCase						)





def      __lowerCamelCase       (	__lowerCAmelCase    :				Union[str, Any]						)						->   int:
   return choose(8 + n	,  __lowerCAmelCase						) + choose(9 + n	,  __lowerCAmelCase						) - 10





def      __lowerCamelCase       (	__lowerCAmelCase    :				List[Any]						)						->   int:
   return sum(non_bouncy_exact(__lowerCAmelCase						) for i in range(1	,  n + 1						)						)





def      __lowerCamelCase       (	__lowerCAmelCase    :				Tuple = 1_00						)						->   int:
   return non_bouncy_upto(__lowerCAmelCase						)


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





'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


__UpperCAmelCase    				=							logging.get_logger(__name__)




class 		a__				(							a__  ):





							'''simple docstring'''






							def __init__(		self					,    *lowerCamelCase_					,    **lowerCamelCase_   )       ->							None:
														warnings.warn(
														    '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
														    ''' Please use MobileNetV2ImageProcessor instead.'''					,    lowerCamelCase_					,    )
														super().__init__(*lowerCamelCase_					,    **lowerCamelCase_   )