Problem 2. (Euclidean Distance) Implement the function distance in distance.py that returns the Euclidean distance between the vectors r and y represented as one-dimensional lists of floats. The Euclidean distance is calculated as the square root of the sums of the squares of the differences between the corresponding entries. You may assume that a and y have the same length. s python3 distance.py 5 -9 1 10 -1 1 5 9 6 7 13.0