9c1978125348ab67190995586175a7d6402bf247,src/BayesianModel/BayesianModel.py,BayesianModel,add_edges_from,#BayesianModel#Any#,135

Before Change

        >>> G.add_nodes_from(["diff", "intel", "grade"])
        >>> G.add_edges_from([("diff", "intel"), ("grade", "intel")])
        
        if ebunch is not None:
            for edge in ebunch:
                if not (isinstance(edge[0], str) and isinstance(edge[1], str)):
                    raise TypeError("Name of nodes must be strings")
                if edge[0] == edge[1]:
                    raise Exceptions.SelfLoopError("Self Loops "
                                                   "are not allowed", edge)

        nx.DiGraph.add_edges_from(self, ebunch)

        new_nodes = set(itertools.chain(*ebunch))
        self._update_node_parents(new_nodes)

After Change

        if ebunch is not None:
            self._check_node_string(set(itertools.chain(*ebunch)))

        if self._check_graph(ebunch, delete_graph=False):
            nx.DiGraph.add_edges_from(self, ebunch)

        new_nodes = set(itertools.chain(*ebunch))
        self._update_node_parents(new_nodes)
        self._update_node_rule_for_parents(new_nodes)

Instances