






import numpy as np

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  List[Any]					)		->			np.ndarray:






	"""simple docstring"""



	return 1 / (1 + np.exp(-vector					))

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  Tuple					)		->			np.ndarray:






	"""simple docstring"""



	return vector * sigmoid(_lowerCAmelCase					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()





'''simple docstring'''





import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__a          =		logging.get_logger(__name__)







class     UpperCAmelCase_       (       _a	):
    """simple docstring"""







    def __init__(    self					:     List[str] ,     *snake_case_					:     str ,     **snake_case_					:     List[str]						):
          warnings.warn(
              """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
              """ use BeitImageProcessor instead.""" ,     snake_case_ ,     )
          super().__init__(*snake_case_ ,     **snake_case_						)
