


"""simple docstring"""




import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


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




class  __snake_case      (lowerCamelCase     ):




							def __init__(    self:						str    ,       *A_:						Union[str, Any]    ,       **A_:						List[str]      ):
										warnings.warn(
										    """The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
										    """ Please use MobileNetV2ImageProcessor instead."""    ,       A_    ,       )
										super().__init__(*A_    ,       **A_      )








"""simple docstring"""




import numpy as np





def 			a_   (  lowercase__   :List[str]    ):
			__lowerCamelCase        =			np.exp(lowercase__    )

			# Add up the all the exponentials
			__lowerCamelCase        =			np.sum(lowercase__    )

			# Divide every exponent by the sum of all exponents
			__lowerCamelCase        =			exponent_vector / sum_of_exponents

			return softmax_vector


if __name__ == "__main__":
					print(softmax((0,)))




