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File: //lib/python3/dist-packages/networkx/algorithms/tests/test_lowest_common_ancestors.py
import pytest
from itertools import chain, combinations, product

import networkx as nx

tree_all_pairs_lca = nx.tree_all_pairs_lowest_common_ancestor
all_pairs_lca = nx.all_pairs_lowest_common_ancestor


def get_pair(dictionary, n1, n2):
    if (n1, n2) in dictionary:
        return dictionary[n1, n2]
    else:
        return dictionary[n2, n1]


class TestTreeLCA(object):
    @classmethod
    def setup_class(cls):
        cls.DG = nx.DiGraph()
        edges = [(0, 1), (0, 2), (1, 3), (1, 4), (2, 5), (2, 6)]
        cls.DG.add_edges_from(edges)
        cls.ans = dict(tree_all_pairs_lca(cls.DG, 0))
        gold = dict([((n, n), n) for n in cls.DG])
        gold.update(dict(((0, i), 0) for i in range(1, 7)))
        gold.update({(1, 2): 0,
                     (1, 3): 1,
                     (1, 4): 1,
                     (1, 5): 0,
                     (1, 6): 0,
                     (2, 3): 0,
                     (2, 4): 0,
                     (2, 5): 2,
                     (2, 6): 2,
                     (3, 4): 1,
                     (3, 5): 0,
                     (3, 6): 0,
                     (4, 5): 0,
                     (4, 6): 0,
                     (5, 6): 2})

        cls.gold = gold

    @staticmethod
    def assert_has_same_pairs(d1, d2):
        for (a, b) in ((min(pair), max(pair)) for pair in chain(d1, d2)):
            assert get_pair(d1, a, b) == get_pair(d2, a, b)

    def test_tree_all_pairs_lowest_common_ancestor1(self):
        """Specifying the root is optional."""
        assert dict(tree_all_pairs_lca(self.DG)) == self.ans

    def test_tree_all_pairs_lowest_common_ancestor2(self):
        """Specifying only some pairs gives only those pairs."""
        test_pairs = [(0, 1), (0, 1), (1, 0)]
        ans = dict(tree_all_pairs_lca(self.DG, 0, test_pairs))
        assert (0, 1) in ans and (1, 0) in ans
        assert len(ans) == 2

    def test_tree_all_pairs_lowest_common_ancestor3(self):
        """Specifying no pairs same as specifying all."""
        all_pairs = chain(combinations(self.DG, 2),
                          ((node, node) for node in self.DG))

        ans = dict(tree_all_pairs_lca(self.DG, 0, all_pairs))
        self.assert_has_same_pairs(ans, self.ans)

    def test_tree_all_pairs_lowest_common_ancestor4(self):
        """Gives the right answer."""
        ans = dict(tree_all_pairs_lca(self.DG))
        self.assert_has_same_pairs(self.gold, ans)

    def test_tree_all_pairs_lowest_common_ancestor5(self):
        """Handles invalid input correctly."""
        empty_digraph = tree_all_pairs_lca(nx.DiGraph())
        pytest.raises(nx.NetworkXPointlessConcept, list, empty_digraph)

        bad_pairs_digraph = tree_all_pairs_lca(self.DG, pairs=[(-1, -2)])
        pytest.raises(nx.NodeNotFound, list, bad_pairs_digraph)

    def test_tree_all_pairs_lowest_common_ancestor6(self):
        """Works on subtrees."""
        ans = dict(tree_all_pairs_lca(self.DG, 1))
        gold = dict((pair, lca) for (pair, lca) in self.gold.items()
                    if all(n in (1, 3, 4) for n in pair))
        self.assert_has_same_pairs(gold, ans)

    def test_tree_all_pairs_lowest_common_ancestor7(self):
        """Works on disconnected nodes."""
        G = nx.DiGraph()
        G.add_node(1)
        assert {(1, 1): 1} == dict(tree_all_pairs_lca(G))

        G.add_node(0)
        assert {(1, 1): 1} == dict(tree_all_pairs_lca(G, 1))
        assert {(0, 0): 0} == dict(tree_all_pairs_lca(G, 0))

        pytest.raises(nx.NetworkXError, list, tree_all_pairs_lca(G))

    def test_tree_all_pairs_lowest_common_ancestor8(self):
        """Raises right errors if not a tree."""
        # Cycle
        G = nx.DiGraph([(1, 2), (2, 1)])
        pytest.raises(nx.NetworkXError, list, tree_all_pairs_lca(G))
        # DAG
        G = nx.DiGraph([(0, 2), (1, 2)])
        pytest.raises(nx.NetworkXError, list, tree_all_pairs_lca(G))

    def test_tree_all_pairs_lowest_common_ancestor9(self):
        """Test that pairs works correctly as a generator."""
        pairs = iter([(0, 1), (0, 1), (1, 0)])
        some_pairs = dict(tree_all_pairs_lca(self.DG, 0, pairs))
        assert (0, 1) in some_pairs and (1, 0) in some_pairs
        assert len(some_pairs) == 2

    def test_tree_all_pairs_lowest_common_ancestor10(self):
        """Test that pairs not in the graph raises error."""
        lca = tree_all_pairs_lca(self.DG, 0, [(-1, -1)])
        pytest.raises(nx.NodeNotFound, list, lca)

    def test_tree_all_pairs_lowest_common_ancestor11(self):
        """Test that None as a node in the graph raises an error."""
        G = nx.DiGraph([(None, 3)])
        pytest.raises(nx.NetworkXError, list, tree_all_pairs_lca(G))
        pytest.raises(nx.NodeNotFound, list,
                      tree_all_pairs_lca(self.DG, pairs=G.edges()))

    def test_tree_all_pairs_lowest_common_ancestor12(self):
        """Test that tree routine bails on DAGs."""
        G = nx.DiGraph([(3, 4), (5, 4)])
        pytest.raises(nx.NetworkXError, list, tree_all_pairs_lca(G))

    def test_not_implemented_for(self):
        NNI = nx.NetworkXNotImplemented
        G = nx.Graph([(0, 1)])
        pytest.raises(NNI, tree_all_pairs_lca, G)
        pytest.raises(NNI, all_pairs_lca, G)
        pytest.raises(NNI, nx.lowest_common_ancestor, G, 0, 1)
        G = nx.MultiGraph([(0, 1)])
        pytest.raises(NNI, tree_all_pairs_lca, G)
        pytest.raises(NNI, all_pairs_lca, G)
        pytest.raises(NNI, nx.lowest_common_ancestor, G, 0, 1)
        G = nx.MultiDiGraph([(0, 1)])
        pytest.raises(NNI, tree_all_pairs_lca, G)
        pytest.raises(NNI, all_pairs_lca, G)
        pytest.raises(NNI, nx.lowest_common_ancestor, G, 0, 1)

    def test_tree_all_pairs_lowest_common_ancestor13(self):
        """Test that it works on non-empty trees with no LCAs."""
        G = nx.DiGraph()
        G.add_node(3)
        ans = list(tree_all_pairs_lca(G))
        assert ans == [((3, 3), 3)]


class TestDAGLCA:
    @classmethod
    def setup_class(cls):
        cls.DG = nx.DiGraph()
        nx.add_path(cls.DG, (0, 1, 2, 3))
        nx.add_path(cls.DG, (0, 4, 3))
        nx.add_path(cls.DG, (0, 5, 6, 8, 3))
        nx.add_path(cls.DG, (5, 7, 8))
        cls.DG.add_edge(6, 2)
        cls.DG.add_edge(7, 2)

        cls.root_distance = nx.shortest_path_length(cls.DG, source=0)

        cls.gold = {(1, 1): 1,
                     (1, 2): 1,
                     (1, 3): 1,
                     (1, 4): 0,
                     (1, 5): 0,
                     (1, 6): 0,
                     (1, 7): 0,
                     (1, 8): 0,
                     (2, 2): 2,
                     (2, 3): 2,
                     (2, 4): 0,
                     (2, 5): 5,
                     (2, 6): 6,
                     (2, 7): 7,
                     (2, 8): 7,
                     (3, 3): 8,
                     (3, 4): 4,
                     (3, 5): 5,
                     (3, 6): 6,
                     (3, 7): 7,
                     (3, 8): 8,
                     (4, 4): 4,
                     (4, 5): 0,
                     (4, 6): 0,
                     (4, 7): 0,
                     (4, 8): 0,
                     (5, 5): 5,
                     (5, 6): 5,
                     (5, 7): 5,
                     (5, 8): 5,
                     (6, 6): 6,
                     (6, 7): 5,
                     (6, 8): 6,
                     (7, 7): 7,
                     (7, 8): 7,
                     (8, 8): 8}
        cls.gold.update(((0, n), 0) for n in cls.DG)

    def assert_lca_dicts_same(self, d1, d2, G=None):
        """Checks if d1 and d2 contain the same pairs and
        have a node at the same distance from root for each.
        If G is None use self.DG."""
        if G is None:
            G = self.DG
            root_distance = self.root_distance
        else:
            roots = [n for n, deg in G.in_degree if deg == 0]
            assert(len(roots) == 1)
            root_distance = nx.shortest_path_length(G, source=roots[0])

        for a, b in ((min(pair), max(pair)) for pair in chain(d1, d2)):
            assert (root_distance[get_pair(d1, a, b)] ==
                         root_distance[get_pair(d2, a, b)])

    def test_all_pairs_lowest_common_ancestor1(self):
        """Produces the correct results."""
        self.assert_lca_dicts_same(dict(all_pairs_lca(self.DG)), self.gold)

    def test_all_pairs_lowest_common_ancestor2(self):
        """Produces the correct results when all pairs given."""
        all_pairs = list(product(self.DG.nodes(), self.DG.nodes()))
        ans = all_pairs_lca(self.DG, pairs=all_pairs)
        self.assert_lca_dicts_same(dict(ans), self.gold)

    def test_all_pairs_lowest_common_ancestor3(self):
        """Produces the correct results when all pairs given as a generator."""
        all_pairs = product(self.DG.nodes(), self.DG.nodes())
        ans = all_pairs_lca(self.DG, pairs=all_pairs)
        self.assert_lca_dicts_same(dict(ans), self.gold)

    def test_all_pairs_lowest_common_ancestor4(self):
        """Graph with two roots."""
        G = self.DG.copy()
        G.add_edge(9, 10)
        G.add_edge(9, 4)
        gold = self.gold.copy()
        gold[9, 9] = 9
        gold[9, 10] = 9
        gold[9, 4] = 9
        gold[9, 3] = 9
        gold[10, 4] = 9
        gold[10, 3] = 9
        gold[10, 10] = 10

        testing = dict(all_pairs_lca(G))

        G.add_edge(-1, 9)
        G.add_edge(-1, 0)
        self.assert_lca_dicts_same(testing, gold, G)

    def test_all_pairs_lowest_common_ancestor5(self):
        """Test that pairs not in the graph raises error."""
        pytest.raises(nx.NodeNotFound, all_pairs_lca, self.DG, [(-1, -1)])

    def test_all_pairs_lowest_common_ancestor6(self):
        """Test that pairs with no LCA specified emits nothing."""
        G = self.DG.copy()
        G.add_node(-1)
        gen = all_pairs_lca(G, [(-1, -1), (-1, 0)])
        assert dict(gen) == {(-1, -1): -1}

    def test_all_pairs_lowest_common_ancestor7(self):
        """Test that LCA on null graph bails."""
        pytest.raises(nx.NetworkXPointlessConcept,
                      all_pairs_lca,
                      nx.DiGraph())

    def test_all_pairs_lowest_common_ancestor8(self):
        """Test that LCA on non-dags bails."""
        pytest.raises(nx.NetworkXError, all_pairs_lca,
                      nx.DiGraph([(3, 4), (4, 3)]))

    def test_all_pairs_lowest_common_ancestor9(self):
        """Test that it works on non-empty graphs with no LCAs."""
        G = nx.DiGraph()
        G.add_node(3)
        ans = list(all_pairs_lca(G))
        assert ans == [((3, 3), 3)]

    def test_all_pairs_lowest_common_ancestor10(self):
        """Test that it bails on None as a node."""
        G = nx.DiGraph([(None, 3)])
        pytest.raises(nx.NetworkXError, all_pairs_lca, G)
        pytest.raises(nx.NodeNotFound, all_pairs_lca,
                      self.DG, pairs=G.edges())

    def test_lowest_common_ancestor1(self):
        """Test that the one-pair function works on default."""
        G = nx.DiGraph([(0, 1), (2, 1)])
        sentinel = object()
        assert (nx.lowest_common_ancestor(G, 0, 2, default=sentinel) is
                  sentinel)

    def test_lowest_common_ancestor2(self):
        """Test that the one-pair function works on identity."""
        G = nx.DiGraph()
        G.add_node(3)
        assert nx.lowest_common_ancestor(G, 3, 3) == 3