



'''simple docstring'''





def    a_					(						_UpperCAmelCase  :	Optional[Any]      ,_UpperCAmelCase  :	Tuple							)  ->   List[str]:
      __snake_case      :					Optional[int]						=  len(lowercase_							)
      # Create a stack and push index of fist element to it
      __snake_case      :					Dict						=  []
      st.append(0							)

      # Span value of first element is always 1
      __snake_case      :					int						=  1

      # Calculate span values for rest of the elements
      for i in range(1      ,lowercase_							):
            # Pop elements from stack while stack is not
            # empty and top of stack is smaller than price[i]
            while len(lowercase_							) > 0 and price[st[0]] <= price[i]:
                  st.pop()

            # If stack becomes empty, then price[i] is greater
            # than all elements on left of it, i.e. price[0],
            # price[1], ..price[i-1]. Else the price[i]  is
            # greater than elements after top of stack
            __snake_case      :					int						=  i + 1 if len(lowercase_							) <= 0 else (i - st[0])

            # Push this element to stack
            st.append(lowercase_							)





def    a_					(						_UpperCAmelCase  :	Tuple      ,_UpperCAmelCase  :	Dict							)  ->   List[str]:






      for i in range(0      ,lowercase_							):
            print(arr[i]      ,end=' '							)


# Driver program to test above function
A__  :					Dict				= [1_0, 4, 5, 9_0, 1_2_0, 8_0]
A__  :					Optional[Any]				= [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)





print_array(S, len(price))










"""simple docstring"""





import numpy as np




def 		lowerCAmelCase_	(  lowercase_   :							str		):

 '''simple docstring'''






 __SCREAMING_SNAKE_CASE :			Dict												=       np.exp(lowercase_		)

 # Add up the all the exponentials
 __SCREAMING_SNAKE_CASE :			Tuple												=       np.sum(lowercase_		)

 # Divide every exponent by the sum of all exponents
 __SCREAMING_SNAKE_CASE :			List[Any]												=       exponent_vector / sum_of_exponents

 return softmax_vector


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

