



'''simple docstring'''

import numpy as np






def 		_snake_case		(					_SCREAMING_SNAKE_CASE     :						List[str]							)			->						Tuple:







	"""simple docstring"""
	lowerCAmelCase    =	np.exp(a__							)

	# Add up the all the exponentials
	lowerCAmelCase    =	np.sum(a__							)

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

	return softmax_vector


if __name__ == "__main__":
				print(softmax((0,)))
lowerCamelCase__   = '''
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowerCamelCase__   = [{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowerCamelCase__   = {
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}




