class TestMSTPrim(unittest.TestCase):
def tearDown(self):
self.mst_prim = None
self.graph = None
def setUp(self):
self.graph = Graph()
self.option = 1
if self.option == 1:
edges = [(0, 1, 2), (0, 4, 4), (1, 2, 3), (2, 4, 1), (2, 3, 5),
(3, 0, 8), (4, 3, 7)]
elif self.option == 2:
edges = []
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.mst_prim = MSTPrim(self.graph)
def test_mst_prim(self):
if self.option == 1:
self.mst_prim.mst_prim(0)
self.assertEqual(self.mst_prim.pred[0], -1)
self.assertEqual(self.mst_prim.pred[1], 0)
self.assertEqual(self.mst_prim.pred[2], 1)
self.assertEqual(self.mst_prim.pred[3], 2)
self.assertEqual(self.mst_prim.pred[4], 2)
elif self.option == 2:
pass
class TestBellmanFord(unittest.TestCase):
def tearDown(self):
self.graph = None
self.bellman_ford = None
def setUp(self):
self.graph = Graph()
self.option = 2
if self.option == 1:
edges = [(0, 4, 2),
(1, 3, -2),
(2, 1, -3),
(3, 2, 6),
(4, 3, 4), (4, 1, 5)]
elif self.option == 2:
edges = [(0, 1, 2),
(1, 3, 4), (1, 4, 5),
(2, 4, -3),
(3, 2, 6), # test negative cycle (3, 2, 4)
(4, 3, -2), ]
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.bellman_ford = BellmanFord(self.graph)
def test_bellman_ford(self):
self.bellman_ford.bellman_ford(0)
if self.option == 1:
self.assertEqual(self.bellman_ford.dist[0], 0)
self.assertEqual(self.bellman_ford.dist[1], 7)
self.assertEqual(self.bellman_ford.dist[2], 11)
self.assertEqual(self.bellman_ford.dist[3], 5)
self.assertEqual(self.bellman_ford.dist[4], 2)
self.assertEqual(self.bellman_ford.full_path(0), [0])
self.assertEqual(self.bellman_ford.full_path(1), [0, 4 ,1])
self.assertEqual(self.bellman_ford.full_path(2), [0, 4, 1, 3, 2])
self.assertEqual(self.bellman_ford.full_path(3), [0, 4, 1, 3])
self.assertEqual(self.bellman_ford.full_path(4), [0, 4])
if self.option == 2:
self.assertEqual(self.bellman_ford.dist[0], 0)
self.assertEqual(self.bellman_ford.dist[1], 2)
self.assertEqual(self.bellman_ford.dist[2], 11)
self.assertEqual(self.bellman_ford.dist[3], 5)
self.assertEqual(self.bellman_ford.dist[4], 7)
self.assertEqual(self.bellman_ford.full_path(0), [0])
self.assertEqual(self.bellman_ford.full_path(1), [0, 1])
self.assertEqual(self.bellman_ford.full_path(2), [0, 1, 4, 3, 2])
self.assertEqual(self.bellman_ford.full_path(3), [0, 1, 4, 3])
self.assertEqual(self.bellman_ford.full_path(4), [0, 1, 4])
def complete_multi_graph():
count_num = int(input())
count = 0
while count < count_num:
g = Graph()
node_num, adjs_num = map(int, input().split(' '))
for i in range(adjs_num):
adj = list(map(int, input().split(' ')))
g.add_edge(adj[0], adj[1])
return is_graph(g)
def setUp(self):
self.graph = Graph()
self.option = 1
if self.option == 1:
edges = [(0, 1, 2), (0, 4, 4), (1, 2, 3), (2, 4, 1), (2, 3, 5),
(3, 0, 8), (4, 3, 7)]
elif self.option == 2:
edges = []
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.mst_prim = MSTPrim(self.graph)
def setUp(self):
self.graph = Graph()
self.option = 1
if self.option == 1:
edges = [(0, 1, 2), (0, 4, 4), (1, 2, 3), (2, 4, 1), (2, 3, 5),
(3, 0, 8), (4, 3, 7)]
elif self.option == 2:
edges = []
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.floyd_warshall = FloydWarshall(self.graph)
def setUp(self):
self.graph = Graph()
self.option = 2
if self.option == 1:
edges = [(0, 4, 4), (0, 1, 2), (4, 3, 7), (1, 2, 3), (2, 4, 1),
(2, 3, 5), (3, 0, 8)]
elif self.option == 2:
edges = [(1, 2, 7), (1, 3, 9), (1, 6, 14), (2, 3, 10), (2, 4, 15),
(3, 6, 2), (3, 4, 11), (4, 5, 6), (6, 5, 9)]
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.dijkstra = Dijkstra(self.graph)
class TestFloydWarshall(unittest.TestCase):
def tearDown(self):
self.floyd_warshall = None
self.graph = None
def setUp(self):
self.graph = Graph()
self.option = 1
if self.option == 1:
edges = [(0, 1, 2), (0, 4, 4), (1, 2, 3), (2, 4, 1), (2, 3, 5),
(3, 0, 8), (4, 3, 7)]
elif self.option == 2:
edges = []
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.floyd_warshall = FloydWarshall(self.graph)
def test_dijkstra_dense(self):
if self.option == 1:
self.floyd_warshall.floyd_warshall()
print(self.floyd_warshall.dist)
print(self.floyd_warshall.pred)
self.assertEqual(self.floyd_warshall.dist[0][1], 2)
self.assertEqual(self.floyd_warshall.dist[0][2], 5)
self.assertEqual(self.floyd_warshall.dist[0][3], 10)
self.assertEqual(self.floyd_warshall.dist[0][4], 4)
self.assertEqual(self.floyd_warshall.dist[4][1], 17)
self.assertEqual(self.floyd_warshall.construct_shortest_path(0, 1),
[0, 1])
self.assertEqual(self.floyd_warshall.construct_shortest_path(0, 2),
[0, 1, 2])
self.assertEqual(self.floyd_warshall.construct_shortest_path(0, 3),
[0, 1, 2, 3])
self.assertEqual(self.floyd_warshall.construct_shortest_path(0, 4),
[0, 4])
self.assertEqual(self.floyd_warshall.construct_shortest_path(1, 2),
[1, 2])
self.assertEqual(self.floyd_warshall.construct_shortest_path(1, 3),
[1, 2, 3])
self.assertEqual(self.floyd_warshall.construct_shortest_path(4, 1),
[4, 3, 0, 1])
elif self.option == 2:
pass
class TestDijkstra(unittest.TestCase):
def tearDown(self):
self.dijkstra = None
self.graph = None
def setUp(self):
self.graph = Graph()
self.option = 2
if self.option == 1:
edges = [(0, 4, 4), (0, 1, 2), (4, 3, 7), (1, 2, 3), (2, 4, 1),
(2, 3, 5), (3, 0, 8)]
elif self.option == 2:
edges = [(1, 2, 7), (1, 3, 9), (1, 6, 14), (2, 3, 10), (2, 4, 15),
(3, 6, 2), (3, 4, 11), (4, 5, 6), (6, 5, 9)]
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.dijkstra = Dijkstra(self.graph)
def test_dijkstra(self):
if self.option == 1:
self.dijkstra.dijkstra(0)
self.assertEqual(self.dijkstra.dist[3], 10)
self.assertEqual(self.dijkstra.dist[4], 4)
self.assertEqual(self.dijkstra.dist[0], 0)
self.assertEqual(self.dijkstra.dist[1], 2)
self.assertEqual(self.dijkstra.dist[2], 5)
self.assertEqual(self.dijkstra.full_path(2), [0, 1, 2])
elif self.option == 2:
self.dijkstra.dijkstra(1)
self.assertEqual(self.dijkstra.dist[1], 0)
self.assertEqual(self.dijkstra.dist[2], 7)
self.assertEqual(self.dijkstra.dist[3], 9)
self.assertEqual(self.dijkstra.dist[4], 20)
self.assertEqual(self.dijkstra.dist[5], 20)
self.assertEqual(self.dijkstra.dist[6], 11)
self.assertEqual(self.dijkstra.full_path(1), [1])
self.assertEqual(self.dijkstra.full_path(2), [1, 2])
self.assertEqual(self.dijkstra.full_path(3), [1, 3])
self.assertEqual(self.dijkstra.full_path(4), [1, 3, 4])
self.assertEqual(self.dijkstra.full_path(5), [1, 3, 6, 5])
self.assertEqual(self.dijkstra.full_path(6), [1, 3, 6])
def setUp(self):
self.graph = Graph()
self.option = 2
if self.option == 1:
edges = [(0, 4, 2),
(1, 3, -2),
(2, 1, -3),
(3, 2, 6),
(4, 3, 4), (4, 1, 5)]
elif self.option == 2:
edges = [(0, 1, 2),
(1, 3, 4), (1, 4, 5),
(2, 4, -3),
(3, 2, 6), # test negative cycle (3, 2, 4)
(4, 3, -2), ]
for edge in edges:
self.graph.add_edge(edge[0], edge[1], weight=edge[2])
self.bellman_ford = BellmanFord(self.graph)
def test_graph(self):
graph = Graph()
for key in range(0, 6):
graph.add_node(key)
graph.add_edge(0, 1, weight=5)
graph.add_edge(0, 5, weight=2)
graph.add_edge(1, 2, weight=3)
graph.add_edge(2, 3, weight=4)
graph.add_edge(3, 4, weight=5)
graph.add_edge(3, 5, weight=6)
graph.add_edge(4, 0, weight=7)
graph.add_edge(5, 4, weight=8)
graph.add_edge(5, 2, weight=9)
self.assertEqual(graph.nodes[0].adj_weights[graph.nodes[5].key], 2)
def setUp(self):
self.graph = Graph()
# 以初始节点开始，从终点节点倒推1
path = [end_node_key]
current_pred = self.pred[start_node_key][end_node_key]
while current_pred != -1:
path.append(current_pred)
if current_pred == start_node_key:
break
current_pred = self.pred[start_node_key][
current_pred] # pred存储两顶点最优路径的倒数第二个顶点
return path[::-1]
if __name__ == '__main__':
# pass
graph = Graph()
floyd_warshall = FloydWarshall(graph)
floyd_warshall.pred = [[-1, 0, 1, 2, 0], [3, -1, 1, 2,
2], [3, 0, -1, 2, 2],
[3, 0, 1, -1, 0], [3, 0, 1, 4, -1]]
path = floyd_warshall.construct_shortest_path(1, 4)
# 10，210， 3210，40
# 0321，21，321，421
# 032，1032，32，42
# 03，103，2103，403
# 034，1034，21034,34
for i in range(5):
for j in range(5):
if i != j:
print(floyd_warshall.construct_shortest_path(i, j))
