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

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"
author shellac
date Mon, 22 Mar 2021 18:12:50 +0000
parents
children
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/env/lib/python3.9/site-packages/networkx/algorithms/shortest_paths/tests/test_dense_numpy.py	Mon Mar 22 18:12:50 2021 +0000
@@ -0,0 +1,76 @@
+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