


from functools import lru_cache







@lru_cache
def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase				)    ->				int:
  if num < 0:
    raise ValueError('''Number should not be negative.'''				)

  return 1 if num in (0, 1) else num * factorial(num - 1				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()





import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowerCamelCase__							:						int							     =   logging.get_logger(__name__)
class 		__magic_name__						(snake_case_				):





     '''simple docstring'''



     def __init__(					self:List[Any]     ,		*_a:Dict     ,		**_a:Tuple   ):
       warnings.warn(
           '''The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
           ''' Please use PerceiverImageProcessor instead.'''     ,		_a     ,		)
       super().__init__(*_a     ,		**_a   )

