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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 get_variable_errors(X, L, LX, Z, U, step_g, e_rel, e_abs=0):
 """Get the errors in a single multiplier method step For a given linear operator A, (and its dot product with X to save time), calculate the errors in the prime and dual variables, used by the Boyd 2011 Section 3 stopping criteria. """

    n = X.size
    p = Z.size
    e_pri2 = np.sqrt(p)*e_abs/L.spectral_norm + e_rel*np.max([l2(LX), l2(Z)])
    if step_g is not None:
        e_dual2 = np.sqrt(n)*e_abs/L.spectral_norm + e_rel*l2(L.T.dot(U)/step_g)
    else:
        e_dual2 = np.sqrt(n)*e_abs/L.spectral_norm + e_rel*l2(L.T.dot(U))
    return e_pri2, e_dual2