annotate env/lib/python3.9/site-packages/networkx/algorithms/tests/test_boundary.py @ 0:4f3585e2f14b draft default tip

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"

"""Unit tests for the :mod:`networkx.algorithms.boundary` module."""

from itertools import combinations

import networkx as nx
from networkx.testing import almost_equal, assert_edges_equal
from networkx import convert_node_labels_to_integers as cnlti


class TestNodeBoundary:
    """Unit tests for the :func:`~networkx.node_boundary` function."""

    def test_null_graph(self):
        """Tests that the null graph has empty node boundaries."""
        null = nx.null_graph()
        assert nx.node_boundary(null, []) == set()
        assert nx.node_boundary(null, [], []) == set()
        assert nx.node_boundary(null, [1, 2, 3]) == set()
        assert nx.node_boundary(null, [1, 2, 3], [4, 5, 6]) == set()
        assert nx.node_boundary(null, [1, 2, 3], [3, 4, 5]) == set()

    def test_path_graph(self):
        P10 = cnlti(nx.path_graph(10), first_label=1)
        assert nx.node_boundary(P10, []) == set()
        assert nx.node_boundary(P10, [], []) == set()
        assert nx.node_boundary(P10, [1, 2, 3]) == {4}
        assert nx.node_boundary(P10, [4, 5, 6]) == {3, 7}
        assert nx.node_boundary(P10, [3, 4, 5, 6, 7]) == {2, 8}
        assert nx.node_boundary(P10, [8, 9, 10]) == {7}
        assert nx.node_boundary(P10, [4, 5, 6], [9, 10]) == set()

    def test_complete_graph(self):
        K10 = cnlti(nx.complete_graph(10), first_label=1)
        assert nx.node_boundary(K10, []) == set()
        assert nx.node_boundary(K10, [], []) == set()
        assert nx.node_boundary(K10, [1, 2, 3]) == {4, 5, 6, 7, 8, 9, 10}
        assert nx.node_boundary(K10, [4, 5, 6]) == {1, 2, 3, 7, 8, 9, 10}
        assert nx.node_boundary(K10, [3, 4, 5, 6, 7]) == {1, 2, 8, 9, 10}
        assert nx.node_boundary(K10, [4, 5, 6], []) == set()
        assert nx.node_boundary(K10, K10) == set()
        assert nx.node_boundary(K10, [1, 2, 3], [3, 4, 5]) == {4, 5}

    def test_petersen(self):
        """Check boundaries in the petersen graph

        cheeger(G,k)=min(|bdy(S)|/|S| for |S|=k, 0<k<=|V(G)|/2)

        """

        def cheeger(G, k):
            return min(len(nx.node_boundary(G, nn)) / k for nn in combinations(G, k))

        P = nx.petersen_graph()
        assert almost_equal(cheeger(P, 1), 3.00, places=2)
        assert almost_equal(cheeger(P, 2), 2.00, places=2)
        assert almost_equal(cheeger(P, 3), 1.67, places=2)
        assert almost_equal(cheeger(P, 4), 1.00, places=2)
        assert almost_equal(cheeger(P, 5), 0.80, places=2)

    def test_directed(self):
        """Tests the node boundary of a directed graph."""
        G = nx.DiGraph([(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)])
        S = {0, 1}
        boundary = nx.node_boundary(G, S)
        expected = {2}
        assert boundary == expected

    def test_multigraph(self):
        """Tests the node boundary of a multigraph."""
        G = nx.MultiGraph(list(nx.cycle_graph(5).edges()) * 2)
        S = {0, 1}
        boundary = nx.node_boundary(G, S)
        expected = {2, 4}
        assert boundary == expected

    def test_multidigraph(self):
        """Tests the edge boundary of a multdiigraph."""
        edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)]
        G = nx.MultiDiGraph(edges * 2)
        S = {0, 1}
        boundary = nx.node_boundary(G, S)
        expected = {2}
        assert boundary == expected


class TestEdgeBoundary:
    """Unit tests for the :func:`~networkx.edge_boundary` function."""

    def test_null_graph(self):
        null = nx.null_graph()
        assert list(nx.edge_boundary(null, [])) == []
        assert list(nx.edge_boundary(null, [], [])) == []
        assert list(nx.edge_boundary(null, [1, 2, 3])) == []
        assert list(nx.edge_boundary(null, [1, 2, 3], [4, 5, 6])) == []
        assert list(nx.edge_boundary(null, [1, 2, 3], [3, 4, 5])) == []

    def test_path_graph(self):
        P10 = cnlti(nx.path_graph(10), first_label=1)
        assert list(nx.edge_boundary(P10, [])) == []
        assert list(nx.edge_boundary(P10, [], [])) == []
        assert list(nx.edge_boundary(P10, [1, 2, 3])) == [(3, 4)]
        assert sorted(nx.edge_boundary(P10, [4, 5, 6])) == [(4, 3), (6, 7)]
        assert sorted(nx.edge_boundary(P10, [3, 4, 5, 6, 7])) == [(3, 2), (7, 8)]
        assert list(nx.edge_boundary(P10, [8, 9, 10])) == [(8, 7)]
        assert sorted(nx.edge_boundary(P10, [4, 5, 6], [9, 10])) == []
        assert list(nx.edge_boundary(P10, [1, 2, 3], [3, 4, 5])) == [(2, 3), (3, 4)]

    def test_complete_graph(self):
        K10 = cnlti(nx.complete_graph(10), first_label=1)

        def ilen(iterable):
            return sum(1 for i in iterable)

        assert list(nx.edge_boundary(K10, [])) == []
        assert list(nx.edge_boundary(K10, [], [])) == []
        assert ilen(nx.edge_boundary(K10, [1, 2, 3])) == 21
        assert ilen(nx.edge_boundary(K10, [4, 5, 6, 7])) == 24
        assert ilen(nx.edge_boundary(K10, [3, 4, 5, 6, 7])) == 25
        assert ilen(nx.edge_boundary(K10, [8, 9, 10])) == 21
        assert_edges_equal(
            nx.edge_boundary(K10, [4, 5, 6], [9, 10]),
            [(4, 9), (4, 10), (5, 9), (5, 10), (6, 9), (6, 10)],
        )
        assert_edges_equal(
            nx.edge_boundary(K10, [1, 2, 3], [3, 4, 5]),
            [(1, 3), (1, 4), (1, 5), (2, 3), (2, 4), (2, 5), (3, 4), (3, 5)],
        )

    def test_directed(self):
        """Tests the edge boundary of a directed graph."""
        G = nx.DiGraph([(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)])
        S = {0, 1}
        boundary = list(nx.edge_boundary(G, S))
        expected = [(1, 2)]
        assert boundary == expected

    def test_multigraph(self):
        """Tests the edge boundary of a multigraph."""
        G = nx.MultiGraph(list(nx.cycle_graph(5).edges()) * 2)
        S = {0, 1}
        boundary = list(nx.edge_boundary(G, S))
        expected = [(0, 4), (0, 4), (1, 2), (1, 2)]
        assert boundary == expected

    def test_multidigraph(self):
        """Tests the edge boundary of a multdiigraph."""
        edges = [(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)]
        G = nx.MultiDiGraph(edges * 2)
        S = {0, 1}
        boundary = list(nx.edge_boundary(G, S))
        expected = [(1, 2), (1, 2)]
        assert boundary == expected