


def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 assert (
     isinstance(SCREAMING_SNAKE_CASE__      ,	SCREAMING_SNAKE_CASE__						) and number_of_steps > 0
 ), f'number_of_steps needs to be positive integer, your input {number_of_steps}'
 if number_of_steps == 1:
  return 1
 __lowerCamelCase ,					__lowerCamelCase		:							int		 =						1, 1
 for _ in range(number_of_steps - 1						):
  __lowerCamelCase ,					__lowerCamelCase		:							Union[str, Any]		 =						current + previous, current
 return current


if __name__ == "__main__":
       import doctest

       doctest.testmod()





import warnings

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


lowercase_	   =     logging.get_logger(__name__)


class 	A_ (	__UpperCamelCase   ):




      '''simple docstring'''


      def __init__(    self:	List[str]						,				*a:	List[Any]						,				**a:	Optional[Any]    ):
       warnings.warn(
           'The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use ChineseCLIPImageProcessor instead.'						,				a						,				)
       super().__init__(*a						,				**a    )

