





import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_snake_case           =					logging.get_logger(__name__)





class    lowerCAmelCase				(  lowercase_   ):







  def __init__(     self    :Optional[Any]       ,				*_lowercase    :Tuple       ,				**_lowercase    :List[str]   ):






     '''simple docstring'''





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










'''simple docstring'''


def 		_lowercase (SCREAMING_SNAKE_CASE							):




     '''simple docstring'''





     __A	:       List[str]      =							1
     __A	:       Union[str, Any]      =							2
     while i * i <= n:
          __A	:       List[Any]      =							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 		_lowercase ():




     '''simple docstring'''





     __A	:       Optional[Any]      =							1
     __A	:       Dict      =							1

     while True:
          i += 1
          t_num += i

          if count_divisors(SCREAMING_SNAKE_CASE							) > 500:
               break

     return t_num


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

