code: 
  
  
  """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_      )
  
  
  
  
  
style_context: 
  
  
  """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,)))
  
  
  
  
  