


'''simple docstring'''
import numpy as np




def      __snake_case       (       lowerCamelCase_ :				Union[str, Any]						):
				'''simple docstring'''




				__magic_name__	  = np.exp(lowerCamelCase_						)

				# Add up the all the exponentials
				__magic_name__	  = np.sum(lowerCamelCase_						)

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

				return softmax_vector


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







'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


__magic_name__   :   int  							=logging.get_logger(__name__)






class 		UpperCamelCase_		(					A   ):





						"""simple docstring"""




						def __init__( self				:					List[str]	,				*_lowerCamelCase				:					List[str]	,				**_lowerCamelCase				:					Optional[Any]  )							->					None:
										warnings.warn(
										    "The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use ConvNextImageProcessor instead."	,				_lowerCamelCase	,				)
										super().__init__(*_lowerCamelCase	,				**_lowerCamelCase  )



