<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def get_connectivity(self, measure_name, plot=False):
 """ Calculate spectral connectivity measure. Parameters measure_name : str Name of the connectivity measure to calculate. See :class:`Connectivity` for supported measures. plot : {False, None, Figure object}, optional Whether and where to plot the connectivity. If set to **False**, nothing is plotted. Otherwise set to the Figure object. If set to **None**, a new figure is created. Returns ------- measure : array, shape = [n_channels, n_channels, nfft] Values of the connectivity measure. fig : Figure object Instance of the figure in which was plotted. This is only returned if `plot` is not **False**. Raises ------ RuntimeError If the :class:`Workspace` instance does not contain a fitted VAR model. """

        if self.connectivity_ is None:
            raise RuntimeError("Connectivity requires a VAR model (run do_mvarica or fit_var first)")

        cm = getattr(self.connectivity_, measure_name)()

        cm = np.abs(cm) if np.any(np.iscomplex(cm)) else cm

        if plot is None or plot:
            fig = plot
            if self.plot_diagonal == 'fill':
                diagonal = 0
            elif self.plot_diagonal == 'S':
                diagonal = -1
                sm = np.abs(self.connectivity_.S())
                sm /= np.max(sm)     # scale to 1 since components are scaled arbitrarily anyway
                fig = self.plotting.plot_connectivity_spectrum(sm, fs=self.fs_, freq_range=self.plot_f_range,
                                                          diagonal=1, border=self.plot_outside_topo, fig=fig)
            else:
                diagonal = -1

            fig = self.plotting.plot_connectivity_spectrum(cm, fs=self.fs_, freq_range=self.plot_f_range,
                                                      diagonal=diagonal, border=self.plot_outside_topo, fig=fig)

            return cm, fig

        return cm