def build_graph(degree_sequence, nodes=None):
''' Generates undirected graph of the given degree
sequence. If nodes are provided, each node will
have the corresponding data. '''
if not is_valid_degree_sequence(degree_sequence):
raise InvalidDegreeSequence('Invalid degree sequence!')
graph = Graph()
degree_node = []
if not nodes:
nodes = count()
for item in map(lambda x, y: [x, y], degree_sequence, nodes):
degree_node.append(item)
degree_node.sort(reverse=True)
degree_node = deque(degree_node)
while degree_node:
degree, node = degree_node.popleft()
if degree == 0:
graph.add_node(node)
continue
for other_dn in islice(degree_node, 0, degree):
graph.add_edge(node, other_dn[1])
other_dn[0] -= 1
return graph
def setUp(self):
self.graph = Graph()
self.graph.addVertices(["s", "a", "b", "c", "d", "e"])
self.graph.addEdges([("s", "a"), ("s", "b"), ("a", "c"), ("c", "e")])
self.graph.addEdges([("e", "d"), ("d", "b"), ("a", "b"), ("c", "d")])
self.graph.addEdges([("g", "h"), ("f", "g")])
self.graph.addEdges([("j", "k"), ("j", "l")])
def test_centers(self):
self.assertEqual(centers(self.tree_one), {1, 3})
self.assertEqual(centers(self.tree_two), {1, 2})
tree = Graph()
tree.add_edge(1, 2)
tree.add_edge(2, 3)
self.assertEqual(centers(tree), {2, })
def test_is_tree(self):
self.assertTrue(is_tree(self.tree_one))
self.assertTrue(is_tree(self.tree_two))
graph = Graph()
graph.add_edge(1, 1)
self.assertFalse(is_tree(graph))
graph.add_edge(1, 2)
graph.add_edge(2, 3)
self.assertFalse(is_tree(graph))
class test_graph(unittest.TestCase):
def setUp(self):
self.graph = Graph()
self.graph.addVertices(["s", "a", "b", "c", "d", "e"])
self.graph.addEdges([("s", "a"), ("s", "b"), ("a", "c"), ("c", "e")])
self.graph.addEdges([("e", "d"), ("d", "b"), ("a", "b"), ("c", "d")])
def test_initial_setup(self):
self.assertEqual(self.graph.numberVertices(), 6)
def test_all_appropriate_neighbors_can_be_retrieved_from_the_graph():
node_a = Node('a')
node_b = Node('b')
node_c = Node('c')
graph = Graph()
graph.add_node(node_a)
graph.add_node(node_b)
graph.add_node(node_c)
graph.add_edge(node_a,node_b,1)
graph.add_edge(node_a,node_c,2)
assert graph.get_neighbors(node_a) == [{'b': 1}, {'c': 2}]
def test_neighbors_are_returned_with_the_weight_between_nodes_included():
node_a = Node('a')
node_b = Node('b')
node_c = Node('c')
graph = Graph()
graph.add_node(node_a)
graph.add_node(node_b)
graph.add_node(node_c)
graph.add_edge(node_a,node_b,1)
graph.add_edge(node_a,node_c,2)
assert graph.get_neighbors(node_a) == [{'b': 1}, {'c': 2}]
def setUp(self):
self.graph = Graph()
g = self.graph
g.add_edge(1, 9)
g.add_edge(9, 6)
g.add_edge(6, 1)
g.add_edge(1, 2)
g.add_edge(2, 4)
g.add_edge(4, 3)
g.add_edge(3, 2)
g.add_edge(2, 8)
g.add_edge(1, 8)
g.add_edge(8, 5)
g.add_edge(5, 7)
g.add_edge(7, 8)
self.digraph = DiGraph()
dig = self.digraph
dig.add_edge(1, 2)
dig.add_edge(2, 5)
dig.add_edge(2, 3)
dig.add_edge(5, 3)
dig.add_edge(3, 5)
dig.add_edge(5, 6)
dig.add_edge(6, 3)
dig.add_edge(3, 4)
dig.add_edge(4, 2)
dig.add_edge(3, 7)
dig.add_edge(7, 8)
dig.add_edge(8, 1)
def setUp(self):
self.graph= Graph()
self.graph.addVertices(["s", "a", "b", "c", "d", "e"])
self.graph.addEdges([("s", "a"), ("s", "b"), ("a", "c"), ("c", "e")])
self.graph.addEdges([("e", "d"), ("d", "b"), ("a", "b"), ("c", "d")])
self.graph.addEdges([("g", "h"), ("f", "g")])
self.graph.addEdges([("j", "k"), ("j", "l")])
def createGraph(self):
name = []
timesLanded = []
costs = []
rents = []
self.removeDataPoints() # Removes All non-properties
prop = self.db.all()
for doc in prop:
name.append(doc['Name'])
timesLanded.append(doc['Landed'])
costs.append(doc['Cost'])
rents.append(doc['Rent'])
timesLanded = self.convertToPercent(timesLanded)
_graph = Graph(name, timesLanded, costs, rents)
#_graph.barChart()
_graph.lineChart()
def test_a_collection_of_all_nodes_can_be_properly_retrieved_from_the_graph():
node_a = Node('a')
node_b = Node('b')
node_c = Node('c')
node_d = Node('d')
node_e = Node('e')
node_f = Node('f')
graph = Graph()
graph.add_node(node_a)
graph.add_node(node_b)
graph.add_node(node_c)
graph.add_node(node_d)
graph.add_node(node_e)
graph.add_node(node_f)
assert graph.get_nodes() == ['a', 'b', 'c', 'd', 'e', 'f']
def test_the_proper_size_is_returned_representing_the_number_of_nodes_in_the_graph():
node_a = Node('a')
node_b = Node('b')
node_c = Node('c')
node_d = Node('d')
node_e = Node('e')
node_f = Node('f')
graph = Graph()
graph.add_node(node_a)
graph.add_node(node_b)
graph.add_node(node_c)
graph.add_node(node_d)
graph.add_node(node_e)
graph.add_node(node_f)
assert graph.size() == 6
class MaxPathTest(unittest.TestCase):
def setUp(self):
self.graph = Graph()
self.graph.add_edge(1, 2)
self.digraph = DiGraph()
g = self.digraph
g.add_edge(1, 3, w=3)
g.add_edge(2, 3, w=5)
g.add_edge(3, 5, w=11)
g.add_edge(3, 4, w=8)
g.add_edge(5, 6, w=12)
g.add_edge(4, 7, w=16)
g.add_edge(5, 7, w=14)
g.add_edge(4, 6, w=18)
g.add_edge(6, 8, w=21)
g.add_edge(4, 7, w=16)
g.add_edge(7, 8, w=16)
g.add_edge(8, 10, w=7)
g.add_edge(8, 9, w=5)
def test_max_path(self):
pred, distance = max_path(self.digraph, weight_attribute='w')
self.assertEqual(59, max(distance.values()))
self.assertEqual(pred,
{3: 2, 4: 3, 5: 3, 6: 4,
7: 5, 8: 6, 9: 8, 10: 8})
def test_max_path_graph(self):
with self.assertRaises(NotDAG):
max_path(self.graph)
def test_max_path_digraph_with_cycle(self):
self.digraph.add_edge(10, 8, w=4)
with self.assertRaises(NotDAG):
max_path(self.digraph)
self.digraph.remove_edge(10, 8)
def test_max_path_negative_edge(self):
self.digraph.add_edge(1, 1000, w=-1)
with self.assertRaises(NegativeEdgeWeight):
max_path(self.digraph, weight_attribute='w')
self.digraph.remove_edge(1, 1000)
def setUp(self):
self.graph = Graph()
g = self.graph
g.add_edge(1, 2)
g.add_edge(1, 4)
g.add_edge(1, 6)
g.add_edge(3, 2)
g.add_edge(3, 4)
g.add_edge(3, 6)
g.add_edge(5, 2)
g.add_edge(5, 4)
g.add_edge(5, 6)
def test_edge_can_be_successfully_added_to_the_graph():
node_a = Node('a')
node_b = Node('b')
graph = Graph()
graph.add_node(node_a)
graph.add_node(node_b)
graph.add_edge(node_a,node_b,1)
assert graph._adjacency_list[node_a][0].node == node_b
def setUp(self):
self.graph = Graph()
self.graph.add_edge(1, 2)
self.digraph = DiGraph()
g = self.digraph
g.add_edge(1, 3, w=3)
g.add_edge(2, 3, w=5)
g.add_edge(3, 5, w=11)
g.add_edge(3, 4, w=8)
g.add_edge(5, 6, w=12)
g.add_edge(4, 7, w=16)
g.add_edge(5, 7, w=14)
g.add_edge(4, 6, w=18)
g.add_edge(6, 8, w=21)
g.add_edge(4, 7, w=16)
g.add_edge(7, 8, w=16)
g.add_edge(8, 10, w=7)
g.add_edge(8, 9, w=5)
def setUp(self):
self.positive_graph = Graph()
pg = self.positive_graph
pg.add_edge(1, 2, w=5)
pg.add_edge(1, 3, w=29)
pg.add_edge(1, 6, w=70)
pg.add_edge(2, 3, w=10)
pg.add_edge(2, 4, w=15)
pg.add_edge(3, 4, w=51)
pg.add_edge(4, 5, w=6)
pg.add_edge(3, 6, w=10)
self.positive_digraph = DiGraph()
pdig = self.positive_digraph
pdig.add_edge(1, 2, w=5)
pdig.add_edge(1, 3, w=29)
pdig.add_edge(1, 6, w=70)
pdig.add_edge(2, 3, w=10)
pdig.add_edge(2, 4, w=15)
pdig.add_edge(3, 4, w=51)
pdig.add_edge(4, 5, w=6)
pdig.add_edge(3, 6, w=10)
class BFS_test(unittest.TestCase):
def setUp(self):
self.graph= Graph()
self.graph.addVertices(["s", "a", "b", "c", "d", "e"])
self.graph.addEdges([("s", "a"), ("s", "b"), ("a", "c"), ("c", "e")])
self.graph.addEdges([("e", "d"), ("d", "b"), ("a", "b"), ("c", "d")])
self.graph.addEdges([("g", "h"), ("f", "g")])
self.graph.addEdges([("j", "k"), ("j", "l")])
def test_BFS_method(self):
self.assertEqual(len(BFS(self.graph,"s")),6)
self.assertEqual(len(BFS(self.graph,"j")),3)
self.assertEqual(len(BFS(self.graph,"g")),3)
def test_DFS_method(self):
self.assertEqual(len(DFS(self.graph,"s")),6)
self.assertEqual(len(DFS(self.graph,"j")),3)
self.assertEqual(len(DFS(self.graph,"g")),3)
class BFS_test(unittest.TestCase):
def setUp(self):
self.graph = Graph()
self.graph.addVertices(["s", "a", "b", "c", "d", "e"])
self.graph.addEdges([("s", "a"), ("s", "b"), ("a", "c"), ("c", "e")])
self.graph.addEdges([("e", "d"), ("d", "b"), ("a", "b"), ("c", "d")])
self.graph.addEdges([("g", "h"), ("f", "g")])
self.graph.addEdges([("j", "k"), ("j", "l")])
def test_BFS_method(self):
self.assertEqual(len(BFS(self.graph, "s")), 6)
self.assertEqual(len(BFS(self.graph, "j")), 3)
self.assertEqual(len(BFS(self.graph, "g")), 3)
def test_DFS_method(self):
self.assertEqual(len(DFS(self.graph, "s")), 6)
self.assertEqual(len(DFS(self.graph, "j")), 3)
self.assertEqual(len(DFS(self.graph, "g")), 3)
def test_with_one_and_only(self):
t = Graph()
t.add_node(1, p=1256)
self.assertEqual(max_independent_set(t, 1, weight_attribute="p"), (1256, {1}))
class EulerianTest(unittest.TestCase):
def setUp(self):
self.graph = Graph()
g = self.graph
g.add_edge(1, 9)
g.add_edge(9, 6)
g.add_edge(6, 1)
g.add_edge(1, 2)
g.add_edge(2, 4)
g.add_edge(4, 3)
g.add_edge(3, 2)
g.add_edge(2, 8)
g.add_edge(1, 8)
g.add_edge(8, 5)
g.add_edge(5, 7)
g.add_edge(7, 8)
self.digraph = DiGraph()
dig = self.digraph
dig.add_edge(1, 2)
dig.add_edge(2, 5)
dig.add_edge(2, 3)
dig.add_edge(5, 3)
dig.add_edge(3, 5)
dig.add_edge(5, 6)
dig.add_edge(6, 3)
dig.add_edge(3, 4)
dig.add_edge(4, 2)
dig.add_edge(3, 7)
dig.add_edge(7, 8)
dig.add_edge(8, 1)
def tearDown(self):
del self.digraph
del self.graph
def test_is_eulerain_graph(self):
self.assertTrue(is_eulerian(self.graph))
def test_is_eulerian_digraph(self):
self.assertTrue(is_eulerian(self.digraph))
def test_find_eulerian_cycle_graph(self):
self.assertEqual(find_eulerian_cycle(self.graph, 1),
[1, 8, 5, 7, 8, 2, 3, 4, 2, 1, 9, 6, 1])
def test_find_eulerian_cycle_graph_missing_node(self):
with self.assertRaises(NodeNotFound):
find_eulerian_cycle(self.graph, 999)
def test_find_eulerian_cycle_not_eulerian_graph(self):
self.graph.add_edge(101, 102)
self.assertEqual(find_eulerian_cycle(self.graph, 1), None)
self.graph.remove_edge(101, 102)
def test_find_eulerian_cycle_digraph(self):
self.assertEqual(find_eulerian_cycle(self.digraph, 1),
[1, 2, 3, 4, 2, 5, 3, 5, 6, 3, 7, 8, 1])
def test_find_eulerian_cycle_digraph_missing_node(self):
with self.assertRaises(NodeNotFound):
find_eulerian_cycle(self.digraph, 999)
def test_find_eulerian_cycle_not_eulerian_digraph(self):
self.digraph.add_edge(101, 102)
self.assertEqual(find_eulerian_cycle(self.digraph, 1), None)
self.digraph.remove_edge(101, 102)
def test_an_empty_graph_properly_returns_null():
graph = Graph()
assert graph._adjacency_list == {}
def test_bussiness_trip():
node_pandora = Node('pandora')
node_arendelle = Node('arendelle')
node_metroville = Node('metroville')
node_monstropolis = Node('monstropolis')
node_naboo = Node('naboo')
node_narnia = Node('narnia')
trip = Graph()
trip.add_node(node_pandora)
trip.add_node(node_arendelle)
trip.add_node(node_metroville)
trip.add_node(node_monstropolis)
trip.add_node(node_naboo)
trip.add_node(node_narnia)
trip.add_edge(node_pandora,node_arendelle,150)
trip.add_edge(node_pandora,node_metroville,82)
trip.add_edge(node_arendelle,node_pandora,150)
trip.add_edge(node_arendelle,node_metroville,99)
trip.add_edge(node_arendelle,node_monstropolis,42)
trip.add_edge(node_metroville,node_pandora,82)
trip.add_edge(node_metroville,node_arendelle,99)
trip.add_edge(node_metroville,node_monstropolis,105)
trip.add_edge(node_metroville,node_naboo,26)
trip.add_edge(node_metroville,node_narnia,37)
trip.add_edge(node_monstropolis,node_arendelle,42)
trip.add_edge(node_monstropolis,node_metroville,105)
trip.add_edge(node_monstropolis,node_naboo,73)
trip.add_edge(node_naboo,node_monstropolis,73)
trip.add_edge(node_naboo,node_metroville,26)
trip.add_edge(node_naboo,node_narnia,250)
trip.add_edge(node_narnia,node_metroville,37)
trip.add_edge(node_narnia,node_naboo,250)
assert business_trip(trip,['Metroville', 'Pandora' ]) == 82
assert business_trip(trip,['Arendelle', 'Monstropolis', 'Naboo']) == 115
assert business_trip(trip,['Naboo', 'Pandora']) == None
assert business_trip(trip,['Narnia', 'Arendelle', 'Naboo']) == None
class BipartitenessTest(unittest.TestCase):
def setUp(self):
self.graph = Graph()
g = self.graph
g.add_edge(1, 2)
g.add_edge(1, 4)
g.add_edge(1, 6)
g.add_edge(3, 2)
g.add_edge(3, 4)
g.add_edge(3, 6)
g.add_edge(5, 2)
g.add_edge(5, 4)
g.add_edge(5, 6)
def tearDown(self):
del self.graph
def test_is_bipartite_graph(self):
self.assertEqual(is_bipartite(self.graph),
({1, 3, 5}, {2, 4, 6}))
def test_is_bipartite_not_bipartite_graph(self):
self.graph.add_edge(1, 3)
self.assertEqual(is_bipartite(self.graph), None)
self.graph.remove_edge(1, 3)
def test_is_balanced_bipartite(self):
self.assertTrue(is_balanced_bipartite(self.graph))
def test_is_balanced_bipartite_not_balanced(self):
self.graph.add_edge(1, 100)
self.assertFalse(is_balanced_bipartite(self.graph))
self.graph.remove_edge(1, 100)
def test_is_biregular(self):
self.assertTrue(is_biregular(self.graph))
def test_is_biregular_not_biregular_graph(self):
self.graph.add_edge(1, 100)
self.assertFalse(is_biregular(self.graph))
self.graph.remove_edge(1, 100)
def test_a_graph_with_only_one_node_and_edge_can_be_properly_returned():
node_a = Node('a')
graph = Graph()
graph.add_node(node_a)
graph.add_edge(node_a,node_a,1)
assert graph._adjacency_list
class ShortestPathsTest(unittest.TestCase):
def setUp(self):
self.positive_graph = Graph()
pg = self.positive_graph
pg.add_edge(1, 2, w=5)
pg.add_edge(1, 3, w=29)
pg.add_edge(1, 6, w=70)
pg.add_edge(2, 3, w=10)
pg.add_edge(2, 4, w=15)
pg.add_edge(3, 4, w=51)
pg.add_edge(4, 5, w=6)
pg.add_edge(3, 6, w=10)
self.positive_digraph = DiGraph()
pdig = self.positive_digraph
pdig.add_edge(1, 2, w=5)
pdig.add_edge(1, 3, w=29)
pdig.add_edge(1, 6, w=70)
pdig.add_edge(2, 3, w=10)
pdig.add_edge(2, 4, w=15)
pdig.add_edge(3, 4, w=51)
pdig.add_edge(4, 5, w=6)
pdig.add_edge(3, 6, w=10)
def tearDown(self):
del self.positive_digraph
del self.positive_graph
def test_unweighted_shortest_paths_graph(self):
self.assertEqual(
unweighted_shortest_paths(self.positive_graph, 1, 2),
({1: None, 2: 1, 3: 1, 4: 3, 5: 4, 6: 1},
{1: 0, 2: 2, 3: 2, 4: 4, 5: 6, 6: 2}))
def test_unweighted_shortest_paths_graph_missing_node(self):
with self.assertRaises(NodeNotFound):
unweighted_shortest_paths(self.positive_graph, 999)
def test_unweighted_shortest_paths_digraph(self):
self.assertEqual(
unweighted_shortest_paths(self.positive_digraph, 1),
({1: None, 2: 1, 3: 1, 4: 3, 5: 4, 6: 1},
{1: 0, 2: 1, 3: 1, 4: 2, 5: 3, 6: 1}))
def test_unweighted_shortest_paths_digraph_missing_node(self):
with self.assertRaises(NodeNotFound):
unweighted_shortest_paths(self.positive_digraph, 999)
def test_bellman_ford_graph(self):
self.assertEqual(
shortest_paths_from(self.positive_graph, 1, weight_attribute='w'),
({1: None, 2: 1, 3: 2, 4: 2, 5: 4, 6: 3},
{1: 0, 2: 5, 3: 15, 4: 20, 5: 26, 6: 25}))
def test_bellman_ford_graph_missing_node(self):
with self.assertRaises(NodeNotFound):
shortest_paths_from(self.positive_graph, 999)
def test_bellman_ford_graph_negative_edges(self):
self.positive_graph.add_edge(1, 100, w=-1)
with self.assertRaises(NegativeCycle):
shortest_paths_from(self.positive_graph, 1, weight_attribute='w')
self.positive_graph.remove_edge(1, 100)
def test_bellman_ford_digraph(self):
self.assertEqual(
shortest_paths_from(
self.positive_digraph, 1, weight_attribute='w'),
({1: None, 2: 1, 3: 2, 4: 2, 5: 4, 6: 3},
{1: 0, 2: 5, 3: 15, 4: 20, 5: 26, 6: 25}))
def test_bellman_ford_digraph_missing_node(self):
with self.assertRaises(NodeNotFound):
shortest_paths_from(self.positive_digraph, 999)
def test_bellman_ford_digraph_negative_edges(self):
g = DiGraph()
g.add_edge(1, 2, w=7)
g.add_edge(1, 4, w=6)
g.add_edge(4, 5, w=5)
g.add_edge(5, 4, w=-2)
g.add_edge(2, 3, w=9)
g.add_edge(2, 5, w=-3)
g.add_edge(4, 2, w=8)
g.add_edge(4, 3, w=-4)
g.add_edge(3, 1, w=7)
g.add_edge(3, 5, w=7)
self.assertEqual(shortest_paths_from(g, 1, weight_attribute='w'),
({1: None, 2: 1, 3: 4, 4: 5, 5: 2},
{1: 0, 2: 7, 3: -2, 4: 2, 5: 4}))
def test_bellman_ford_digraph_negative_cycle(self):
self.positive_digraph.add_edge(2, 1, w=-6)
with self.assertRaises(NegativeCycle):
shortest_paths_from(
self.positive_digraph, 1, weight_attribute='w')
self.positive_digraph.remove_edge(2, 1)
def test_dijkstra_graph(self):
self.assertEqual(
dijkstra(self.positive_graph, 1, weight_attribute='w'),
({1: None, 2: 1, 3: 2, 4: 2, 5: 4, 6: 3},
{1: 0, 2: 5, 3: 15, 4: 20, 5: 26, 6: 25}))
def test_dijkstra_graph_missing_node(self):
with self.assertRaises(NodeNotFound):
dijkstra(self.positive_graph, 999)
def test_dijkstra_digraph(self):
self.assertEqual(
dijkstra(self.positive_digraph, 1, weight_attribute='w'),
({1: None, 2: 1, 3: 2, 4: 2, 5: 4, 6: 3},
{1: 0, 2: 5, 3: 15, 4: 20, 5: 26, 6: 25}))
def test_dijkstra_digraph_missing_node(self):
with self.assertRaises(NodeNotFound):
dijkstra(self.positive_digraph, 999)
def test_centers_one_node_tree(self):
tree = Graph()
tree.add_node(1)
self.assertEqual(centers(tree), {1, })
def test_node_can_be_successfully_added_to_the_graph():
node_a = Node('a')
graph = Graph()
graph.add_node(node_a)
assert node_a in graph._adjacency_list
assert graph._adjacency_list[node_a] == []
def setUp(self):
tree = Graph()
tree.add_edge(1, 2)
tree.add_edge(1, 3)
tree.add_edge(1, 4)
tree.add_edge(2, 5)
tree.add_edge(2, 6)
tree.add_edge(5, 7)
tree.add_edge(3, 8)
tree.add_edge(4, 9)
tree.add_edge(9, 10)
self.tree = tree
def test_depth_first():
node_a = Node('a')
node_b = Node('b')
node_c = Node('c')
node_d = Node('d')
node_e = Node('e')
node_f = Node('f')
node_g = Node('g')
node_h = Node('h')
graph = Graph()
graph.add_node(node_a)
graph.add_node(node_b)
graph.add_node(node_c)
graph.add_node(node_d)
graph.add_node(node_e)
graph.add_node(node_f)
graph.add_node(node_g)
graph.add_node(node_h)
graph.add_edge(node_a,node_b)
graph.add_edge(node_a,node_d)
graph.add_edge(node_b,node_a)
graph.add_edge(node_b,node_c)
graph.add_edge(node_b,node_d)
graph.add_edge(node_c,node_b)
graph.add_edge(node_c,node_g)
graph.add_edge(node_d,node_a)
graph.add_edge(node_d,node_b)
graph.add_edge(node_d,node_e)
graph.add_edge(node_d,node_f)
graph.add_edge(node_d,node_h)
graph.add_edge(node_e,node_d)
graph.add_edge(node_f,node_d)
graph.add_edge(node_f,node_h)
graph.add_edge(node_g,node_c)
graph.add_edge(node_h,node_d)
graph.add_edge(node_h,node_f)
assert(graph.depth_first(node_a)) == ['a', 'b', 'c', 'g', 'd', 'e', 'f', 'h']
