Method has_edge

python/graphscope/nx/classes/graph.py:1239–1278

Returns True if the edge (u, v) is in the graph. This is the same as `v in G[u]` without KeyError exceptions. Parameters ---------- u, v : nodes Nodes can be, for example, strings or numbers. Nodes must be int, str, float, tuple, bool hashab

(self, u, v)

    @clear_mutation_cache
    def has_edge(self, u, v):
        """Returns True if the edge (u, v) is in the graph.

        This is the same as `v in G[u]` without KeyError exceptions.

        Parameters
        ----------
        u, v : nodes
            Nodes can be, for example, strings or numbers.
            Nodes must be int, str, float, tuple, bool  hashable Python objects.

        Returns
        -------
        edge_ind : bool
            True if edge is in the graph, False otherwise.

        Examples
        --------
        >>> G = nx.path_graph(4)  # or DiGraph
        >>> G.has_edge(0, 1)  # using two nodes
        True
        >>> e = (0, 1)
        >>> G.has_edge(*e)  #  e is a 2-tuple (u, v)
        True
        >>> e = (0, 1, {"weight": 7})
        >>> G.has_edge(*e[:2])  # e is a 3-tuple (u, v, data_dictionary)
        True

        The following syntax are equivalent:

        >>> G.has_edge(0, 1)
        True
        >>> 1 in G[0]  # though this gives KeyError if 0 not in G
        True

        """
        try:
            return v in self._adj[u]
        except KeyError:
            return False

    @clear_mutation_cache
    def neighbors(self, n):