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

"""


import networkx as nx
from networkx.algorithms.approximation import max_clique
from networkx.algorithms.approximation import clique_removal
from networkx.algorithms.approximation import large_clique_size


def is_independent_set(G, nodes):
    """Returns True if and only if `nodes` is a clique in `G`.

    `G` is a NetworkX graph. `nodes` is an iterable of nodes in
    `G`.

    """
    return G.subgraph(nodes).number_of_edges() == 0


def is_clique(G, nodes):
    """Returns True if and only if `nodes` is an independent set
    in `G`.

    `G` is an undirected simple graph. `nodes` is an iterable of
    nodes in `G`.

    """
    H = G.subgraph(nodes)
    n = len(H)
    return H.number_of_edges() == n * (n - 1) // 2


class TestCliqueRemoval:
    """Unit tests for the
    :func:`~networkx.algorithms.approximation.clique_removal` function.

    """

    def test_trivial_graph(self):
        G = nx.trivial_graph()
        independent_set, cliques = clique_removal(G)
        assert is_independent_set(G, independent_set)
        assert all(is_clique(G, clique) for clique in cliques)
        # In fact, we should only have 1-cliques, that is, singleton nodes.
        assert all(len(clique) == 1 for clique in cliques)

    def test_complete_graph(self):
        G = nx.complete_graph(10)
        independent_set, cliques = clique_removal(G)
        assert is_independent_set(G, independent_set)
        assert all(is_clique(G, clique) for clique in cliques)

    def test_barbell_graph(self):
        G = nx.barbell_graph(10, 5)
        independent_set, cliques = clique_removal(G)
        assert is_independent_set(G, independent_set)
        assert all(is_clique(G, clique) for clique in cliques)


class TestMaxClique:
    """Unit tests for the :func:`networkx.algorithms.approximation.max_clique`
    function.

    """

    def test_null_graph(self):
        G = nx.null_graph()
        assert len(max_clique(G)) == 0

    def test_complete_graph(self):
        graph = nx.complete_graph(30)
        # this should return the entire graph
        mc = max_clique(graph)
        assert 30 == len(mc)

    def test_maximal_by_cardinality(self):
        """Tests that the maximal clique is computed according to maximum
        cardinality of the sets.

        For more information, see pull request #1531.

        """
        G = nx.complete_graph(5)
        G.add_edge(4, 5)
        clique = max_clique(G)
        assert len(clique) > 1

        G = nx.lollipop_graph(30, 2)
        clique = max_clique(G)
        assert len(clique) > 2


def test_large_clique_size():
    G = nx.complete_graph(9)
    nx.add_cycle(G, [9, 10, 11])
    G.add_edge(8, 9)
    G.add_edge(1, 12)
    G.add_node(13)

    assert large_clique_size(G) == 9
    G.remove_node(5)
    assert large_clique_size(G) == 8
    G.remove_edge(2, 3)
    assert large_clique_size(G) == 7
