Using python 3: Write a program called vectormath.py to do basic vector calculations in 3 dimensions: addition, dot product and normalization. A vector has 3 component values, such as (1, 3, 2) and is naturally storable as an array. Addition of vectors requires addition of the corresponding elements. A dot product is the sum of the products of corresponding elements. The norm of a single vector is the square root of the sum of the squares of the elements. Suppose that we have 2 vectors: A=(1, 3, 2) and B=(2, 3, 0): Addition: A+B = (1+2, 3+3, 2+0) = (3, 6, 2) Dot product: A.B = 1.2 + 3.3 + 2.0 = 2 + 9 = 11 Norm (of A): |A| = Sqrt(1^2 + 3^2 + 2^2) = Sqrt(1+9+4) = Sqrt(14) = 3.74 Norm (of B): |B| = Sqrt(2^2 + 3^2 + 0^2) = Sqrt(4+9+0) = Sqrt(13) = 3.61 For the norms, print your answer to 2 decimal positions.