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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 rand(n, **kwargs):
 """Random vector from the n-Sphere This function will return a random vector which is an element of the n-Sphere. The n-Sphere is defined as a vector in R^n+1 with a norm of one. Basically, we'll find a random vector in R^n+1 and normalize it. This uses the method of Marsaglia 1972. Parameters None Returns ------- rvec Random (n+1,) numpy vector with a norm of 1 """

    rvec = np.random.randn(3)
    rvec = rvec / np.linalg.norm(rvec)
    return rvec