annoviko / pyclustering

            if (self._ena_conn_weight is True):

                conn_weight = self._conn_weight[index][k];

            phase += conn_weight * self._weight * math.sin(self._phases[k] - teta);

        divider = len(neighbors);

        if (divider == 0):

            divider = 1.0;

        phase = 0.0;      # phase of a specified oscillator that will calculated in line with current env. states.

        neighbors = self.get_neighbors(index);

        for k in neighbors:

            conn_weight = 1.0;

            if (self._ena_conn_weight is True):

                conn_weight = self._conn_weight[index][k];

        points = numpy.array(stimulus);

        triangulation = Delaunay(points);

        for triangle in triangulation.simplices:

            for index_tri_point1 in range(len(triangle)):

                for index_tri_point2 in range(index_tri_point1 + 1, len(triangle)):

                    index_point1 = triangle[index_tri_point1];