def unconstrain_stationary_univariate(constrained):
    n = constrained.shape[0]
    y = np.zeros((n, n), dtype=constrained.dtype)
    y[n-1:] = -constrained
    for k in range(n-1, 0, -1):
        for i in range(k):
            y[k-1, i] = (y[k, i] - y[k, k]*y[k, k-i-1]) / (1 - y[k, k]**2)
    r = y.diagonal()
    x = r / ((1 - r**2)**0.5)
    return x
Show a warning message through a gtk message dialog.
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/tsa/statespace/tools.py/unconstrain_stationary_univariate--crossover with--dataset/ETHPy150Open Morgawr/gogonlinux/gog_utils/gog_gui.py/GogTuxGUI.show_warning