




import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


_lowerCamelCase			:	List[str]							 =     logging.get_logger(__name__)


class        UpperCamelCase_					(				UpperCAmelCase__  ):

    '''simple docstring'''






    def __init__(    self   :			List[str]      ,				*UpperCAmelCase__   :			Tuple      ,				**UpperCAmelCase__   :			Any)		->None:





           '''simple docstring'''

           warnings.warn(
               '''The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
               ''' Please use PoolFormerImageProcessor instead.'''      ,				UpperCAmelCase__      ,				)
           super().__init__(*UpperCAmelCase__      ,				**UpperCAmelCase__)








from __future__ import annotations

import numpy as np







def SCREAMING_SNAKE_CASE       ( lowercase_		)     -> List[Any]:



       """simple docstring"""

       return np.maximum(0				,       lowercase_		)


if __name__ == "__main__":
  print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]


