

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Tuple			):



     '''simple docstring'''





     lowercase__    :   Tuple      =       1
     lowercase__    :   Dict      =       2
     while i * i <= n:
          lowercase__    :   Tuple      =       0
          while n % i == 0:
               n //= i
               multiplicity += 1
          n_divisors *= multiplicity + 1
          i += 1
     if n > 1:
          n_divisors *= 2
     return n_divisors

def 	snake_case__			(    ):



     '''simple docstring'''





     lowercase__    :   str      =       1
     lowercase__    :   Any      =       1

     while True:
          i += 1
          t_num += i

          if count_divisors(SCREAMING_SNAKE_CASE_			) > 500:
               break

     return t_num


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




import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


snake_case_			  = logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





    def __init__(      self						,   *a						,   **a):
         warnings.warn(
             'The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use FlavaImageProcessor instead.'						,   a						,   )
         super().__init__(*a						,   **a)

