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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def minkowski(x, y, p=2):
 """Minkowski distance. ..math:: D(x, y) = \left(\sum_i |x_i - y_i|^p\right)^{\frac{1}{p}} This is a general distance. For p=1 it is equivalent to manhattan distance, for p=2 it is Euclidean distance, and for p=infinity it is Chebyshev distance. In general it is better to use the more specialised functions for those distances. """

    result = 0.0
    for i in range(x.shape[0]):
        result += (np.abs(x[i] - y[i])) ** p

    return result ** (1.0 / p)