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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 l2norm_squared(a):
 """ L2 normalize squared """

    value = 0
    for i in xrange(a.shape[1]):
        value += np.dot(a[:,i],a[:,i])
    return value