MLPY/Lib/site-packages/networkx/utils/tests/test_rcm.py

import networkx as nx
from networkx.utils import reverse_cuthill_mckee_ordering


def test_reverse_cuthill_mckee():
    # example graph from
    # http://www.boost.org/doc/libs/1_37_0/libs/graph/example/cuthill_mckee_ordering.cpp
    G = nx.Graph(
        [
            (0, 3),
            (0, 5),
            (1, 2),
            (1, 4),
            (1, 6),
            (1, 9),
            (2, 3),
            (2, 4),
            (3, 5),
            (3, 8),
            (4, 6),
            (5, 6),
            (5, 7),
            (6, 7),
        ]
    )
    rcm = list(reverse_cuthill_mckee_ordering(G))
    assert rcm in [[0, 8, 5, 7, 3, 6, 2, 4, 1, 9], [0, 8, 5, 7, 3, 6, 4, 2, 1, 9]]


def test_rcm_alternate_heuristic():
    # example from
    G = nx.Graph(
        [
            (0, 0),
            (0, 4),
            (1, 1),
            (1, 2),
            (1, 5),
            (1, 7),
            (2, 2),
            (2, 4),
            (3, 3),
            (3, 6),
            (4, 4),
            (5, 5),
            (5, 7),
            (6, 6),
            (7, 7),
        ]
    )

    answers = [
        [6, 3, 5, 7, 1, 2, 4, 0],
        [6, 3, 7, 5, 1, 2, 4, 0],
        [7, 5, 1, 2, 4, 0, 6, 3],
    ]

    def smallest_degree(G):
        deg, node = min((d, n) for n, d in G.degree())
        return node

    rcm = list(reverse_cuthill_mckee_ordering(G, heuristic=smallest_degree))
    assert rcm in answers