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

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"

0:4f3585e2f14b

import pytest

numpy = pytest.importorskip("numpy")
npt = pytest.importorskip("numpy.testing")


import networkx as nx


class TestFloydNumpy:
    def test_cycle_numpy(self):
        dist = nx.floyd_warshall_numpy(nx.cycle_graph(7))
        assert dist[0, 3] == 3
        assert dist[0, 4] == 3

    def test_weighted_numpy_three_edges(self):
        XG3 = nx.Graph()
        XG3.add_weighted_edges_from(
            [[0, 1, 2], [1, 2, 12], [2, 3, 1], [3, 4, 5], [4, 5, 1], [5, 0, 10]]
        )
        dist = nx.floyd_warshall_numpy(XG3)
        assert dist[0, 3] == 15

    def test_weighted_numpy_two_edges(self):
        XG4 = nx.Graph()
        XG4.add_weighted_edges_from(
            [
                [0, 1, 2],
                [1, 2, 2],
                [2, 3, 1],
                [3, 4, 1],
                [4, 5, 1],
                [5, 6, 1],
                [6, 7, 1],
                [7, 0, 1],
            ]
        )
        dist = nx.floyd_warshall_numpy(XG4)
        assert dist[0, 2] == 4

    def test_weight_parameter_numpy(self):
        XG4 = nx.Graph()
        XG4.add_edges_from(
            [
                (0, 1, {"heavy": 2}),
                (1, 2, {"heavy": 2}),
                (2, 3, {"heavy": 1}),
                (3, 4, {"heavy": 1}),
                (4, 5, {"heavy": 1}),
                (5, 6, {"heavy": 1}),
                (6, 7, {"heavy": 1}),
                (7, 0, {"heavy": 1}),
            ]
        )
        dist = nx.floyd_warshall_numpy(XG4, weight="heavy")
        assert dist[0, 2] == 4

    def test_directed_cycle_numpy(self):
        G = nx.DiGraph()
        nx.add_cycle(G, [0, 1, 2, 3])
        pred, dist = nx.floyd_warshall_predecessor_and_distance(G)
        D = nx.utils.dict_to_numpy_array(dist)
        npt.assert_equal(nx.floyd_warshall_numpy(G), D)

    def test_zero_weight(self):
        G = nx.DiGraph()
        edges = [(1, 2, -2), (2, 3, -4), (1, 5, 1), (5, 4, 0), (4, 3, -5), (2, 5, -7)]
        G.add_weighted_edges_from(edges)
        dist = nx.floyd_warshall_numpy(G)
        assert int(numpy.min(dist)) == -14

        G = nx.MultiDiGraph()
        edges.append((2, 5, -7))
        G.add_weighted_edges_from(edges)
        dist = nx.floyd_warshall_numpy(G)
        assert int(numpy.min(dist)) == -14