annoviko / pyclustering

            continue;

        time_stop_simulation = len(dynamic) - 1;

        active_state = False;

        if (dynamic[time_stop_simulation][index_dyn] > threshold):

            active_state = True;

        # if active state is detected, it means we don't have whole oscillatory period for the considered oscillator, should be skipped.

        if (active_state is True):

def allocate_sync_ensembles(dynamic, tolerance = 0.1, threshold = 1.0, ignore = None):

    """!

    @brief Allocate clusters in line with ensembles of synchronous oscillators where each

           synchronous ensemble corresponds to only one cluster.

    @param[in] dynamic (dynamic): Dynamic of each oscillator.

    @param[in] tolerance (double): Maximum error for allocation of synchronous ensemble oscillators.

    @param[in] threshold (double): Amlitude trigger when spike is taken into account.

    @param[in] ignore (bool): Set of indexes that shouldn't be taken into account.

            elif (dimension == 3):

                if (data is None):

                    axes.scatter(item[0], item[1], item[2], c = color, marker = marker_descr);

                else:

                    axes.scatter(data[item][0], data[item][1], data[item][2], c = color, marker = marker_descr);

        color_index += 1;

    for item in noise:

        if (dimension == 1):

            axes = fig.add_subplot(111);

        elif (dimension == 3):

            axes = fig.gca(projection='3d');

        else:

            raise NameError('Drawer supports only 2d and 3d data representation');

    color_index = 0;

    for cluster in clusters:

        color = colors[color_index];

        for item in cluster:

            if (dimension == 1):

                    ax.scatter(data[item][0], data[item][1], data[item][2], c = color, marker = marker, s = markersize);

                else:

                    ax.plot(data[item][0], data[item][1], color = color, marker = marker, markersize = markersize);

            elif (dimension == 3):

                if (data is None):

                    ax.scatter(item[0], item[1], item[2], c = color, marker = marker, s = markersize);

                else:

                    ax.scatter(data[item][0], data[item][1], data[item][2], c = color, marker = marker, s = markersize);