





'''simple docstring'''







from math import factorial

def 		SCREAMING_SNAKE_CASE      (					lowerCAmelCase__     :	Tuple       ,  lowerCAmelCase__     :	List[str])			->						str:

     '''simple docstring'''




     return factorial(lowerCAmelCase__) / (factorial(lowerCAmelCase__) * factorial(n - r))

def 		SCREAMING_SNAKE_CASE      (					)			->						Optional[int]:

     '''simple docstring'''




     _lowercase							:      List[str]  						=							0

     for i in range(1       ,  1_01):
          for j in range(1       ,  i + 1):
               if combinations(lowerCAmelCase__       ,  lowerCAmelCase__) > 1E6:
                    total += 1
     return total


if __name__ == "__main__":
    print(solution())






'''simple docstring'''







import warnings

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


A						    =							logging.get_logger(__name__)



class 							__SCREAMING_SNAKE_CASE			(       lowerCAmelCase__      ):
      '''simple docstring'''



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