#!/usr/bin/env python
import pytest
numpy = pytest.importorskip('numpy')
npt = pytest.importorskip('numpy.testing')


import networkx as nx


class TestFloydNumpy(object):

    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