def testGetCandidates(self):
g = network.HIN()
g.add_edge('A', '', 'B', 'x', '')
g.add_edge('B', 'x', 'A', '', '')
g.add_edge('A', '', 'C', 'x', '')
g.add_edge('C', 'x', 'A', '', '')
g.add_edge('B', 'x', 'C', 'x', '')
g.add_edge('C', 'x', 'B', 'x', '')
g.add_edge('C', 'x', 'D', 'x', '')
g.add_edge('D', 'x', 'C', 'x', '')
g.add_edge('C', 'x', 'E', 'y', '')
g.add_edge('E', 'y', 'C', 'x', '')
g.add_edge('D', 'x', 'F', 'x', '')
g.add_edge('F', 'x', 'D', 'x', '')
expected = {
g.node2id['D'],
}
actual = g.get_candidates(0, 2, 'x')
self.assertEquals(expected, actual)
def testSimple(self):
g = network.HIN()
g.add_edge('P1', 'P', 'P2', 'P', 'P->P', weight=2)
g.add_edge('P2', 'P', 'P1', 'P', 'P<-P', weight=2)
g.add_edge('P1', 'P', 'A1', 'A', 'P-A', weight=1)
g.add_edge('A1', 'A', 'P1', 'P', 'P-A', weight=1)
g.add_edge('P1', 'P', 'A1', 'A', 'P-A2', weight=2)
g.add_edge('A1', 'A', 'P1', 'P', 'P-A2', weight=2)
expected = network.HIN()
expected.add_edge('P1', '', 'P2', '', '', weight=2)
expected.add_edge('P2', '', 'P1', '', '', weight=2)
expected.add_edge('P1', '', 'A1', '', '', weight=3)
expected.add_edge('A1', '', 'P1', '', '', weight=3)
expected.edge_class_id_available_node_class = {}
g.to_homogeneous_network()
self.assertEquals(expected, g)
def testDirected(self):
g = network.HIN()
g.add_edge('P1', 'P', 'P2', 'P', 'P->P', weight=2)
g.add_edge('P2', 'P', 'P1', 'P', 'P<-P', weight=2)
g.add_edge('P1', 'P', 'P3', 'P', 'P->P', weight=2)
g.add_edge('P3', 'P', 'P1', 'P', 'P<-P', weight=2)
g.add_edge('P1', 'P', 'A1', 'A', 'P-A', weight=1)
g.add_edge('A1', 'A', 'P1', 'P', 'A-P', weight=1)
expected = {'0': '1', '1': '0', '2': '3', '3': '2'}
actual = g.get_edge_class_inverse_mappling()
self.assertEquals(expected, actual)
def testSimple(self):
g = network.HIN()
g.add_edge('P1', 'P', 'P2', 'P', 'P->P', weight=2)
g.add_edge('P2', 'P', 'P1', 'P', 'P<-P', weight=2)
g.add_edge('P1', 'P', 'A1', 'A', 'P-A', weight=1)
g.add_edge('A1', 'A', 'P1', 'P', 'P-A', weight=1)
edges = g.to_weighted_edge_list()
edges = sorted(edges)
expected_edges = [
('A1', 'P1', 1),
('P1', 'A1', 1),
('P1', 'P2', 2),
('P2', 'P1', 2),
]
self.assertEquals(expected_edges, edges)
def testSimple(self):
g = network.HIN()
g.add_edge('A1', 'A', 'B1', 'B', 'A-B')
g.add_edge('B1', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B2', 'B', 'A-B')
g.add_edge('B2', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B3', 'B', 'A-B')
g.add_edge('B3', 'B', 'A1', 'A', 'B-A')
g.add_edge('A2', 'A', 'C1', 'C', 'A-C')
g.add_edge('C1', 'C', 'A2', 'A', 'C-A')
expected = set([(4, 1), (4, 3)])
actual = g.random_select_neg_edges('A-B', 2, seed=1)
self.assertEquals(expected, actual)
def testSimple(self):
g = network.HIN()
g.add_edge('A1', 'A', 'B1', 'B', 'A-B')
g.add_edge('B1', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B2', 'B', 'A-B')
g.add_edge('B2', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B3', 'B', 'A-B')
g.add_edge('B3', 'B', 'A1', 'A', 'B-A')
g.add_edge('A2', 'A', 'C1', 'C', 'A-C')
g.add_edge('C1', 'C', 'A2', 'A', 'C-A')
edge_classes = ['A-B', 'B-A', 'A-C']
expected = '0,1,2'
actual = g.to_edge_class_id_string(edge_classes)
self.assertEquals(expected, actual)
def testSimple(self):
g = network.HIN()
g.add_edge('A1', 'A', 'B1', 'B', 'A-B')
g.add_edge('B1', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B2', 'B', 'A-B')
g.add_edge('B2', 'B', 'A1', 'A', 'B-A')
g.add_edge('A2', 'A', 'C1', 'C', 'A-C')
g.add_edge('C1', 'C', 'A2', 'A', 'C-A')
expected = {
0: ('A', 'B'), #A-B
1: ('B', 'A'), #B-A
2: ('A', 'C'), #A-C
3: ('C', 'A'), #C-A
}
self.assertEquals(expected, g.edge_class_id_available_node_class)
def load_a_HIN_from_edge_file(fname):
'''
Load a HIN from a file which contains edges of the HIN
In the file, each line is an edge, formated as
<source_node> <source_class> <dest_node> <dest_class> <edge_class>
An example file: res/karate_club_edges.txt
It is assumed that the HIN is directed
'''
g = network.HIN()
with open(fname) as f:
for line in f:
if line.startswith('#'):
continue
line = line.strip()
src, src_class, dst, dst_class, edge_class = line.split('\t')
g.add_edge(src, src_class, dst, dst_class, edge_class)
g.print_statistics()
return g
def testSimple(self):
g = network.HIN()
g.add_edge('A1', 'A', 'B1', 'B', 'A-B')
g.add_edge('B1', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B2', 'B', 'A-B')
g.add_edge('B2', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B3', 'B', 'A-B')
g.add_edge('B3', 'B', 'A1', 'A', 'B-A')
g.add_edge('A2', 'A', 'C1', 'C', 'A-C')
g.add_edge('C1', 'C', 'A2', 'A', 'C-A')
expected = copy.deepcopy(g)
expected.graph[4] = {}
expected.graph.pop(5)
expected.class_nodes.pop('C')
g.remove_a_node_class('C')
self.assertEquals(expected, g)
def testSimple(self):
g = network.HIN()
g.add_edge('A1', 'A', 'B1', 'B', 'A-B')
g.add_edge('B1', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B2', 'B', 'A-B')
g.add_edge('B2', 'B', 'A1', 'A', 'B-A')
g.add_edge('A1', 'A', 'B3', 'B', 'A-B')
g.add_edge('B3', 'B', 'A1', 'A', 'B-A')
g.add_edge('A2', 'A', 'C1', 'C', 'A-C')
g.add_edge('C1', 'C', 'A2', 'A', 'C-A')
expected_g = copy.deepcopy(g)
expected_g.graph[0].pop(3)
expected_g.graph[3].pop(0)
expected_edges = [(0, 3)]
actual = g.random_remove_edges('A-B', ratio=0.5, seed=1)
self.assertEquals(expected_edges, actual)
self.assertEquals(expected_g, g)
def setUp(self):
g = network.HIN()
g.add_edge('A', '', 'B', '', '')
g.add_edge('B', '', 'A', '', '')
g.add_edge('A', '', 'C', '', '')
g.add_edge('C', '', 'A', '', '')
g.add_edge('B', '', 'C', '', '')
g.add_edge('C', '', 'B', '', '')
g.add_edge('C', '', 'D', '', '')
g.add_edge('D', '', 'C', '', '')
g.add_edge('D', '', 'E', '', '')
g.add_edge('E', '', 'D', '', '')
g.add_edge('D', '', 'F', '', '')
g.add_edge('F', '', 'D', '', '')
self.g = g
def setUp(self):
g = network.HIN()
g.add_edge('P1', 'P', 'P2', 'P', ('P-I', 'I-P'), weight=2)
g.add_edge('P1', 'P', 'P3', 'P', ('P-I', 'I-P'), weight=1)
g.add_edge('P1', 'P', 'P4', 'P', ('P-I', 'I-P'), weight=1)
g.add_edge('P2', 'P', 'P1', 'P', ('P-I', 'I-P'), weight=2)
g.add_edge('P2', 'P', 'P4', 'P', ('P-I', 'I-P'), weight=1)
g.add_edge('P3', 'P', 'P1', 'P', ('P-I', 'I-P'), weight=1)
g.add_edge('P4', 'P', 'P1', 'P', ('P-I', 'I-P'), weight=1)
g.add_edge('P4', 'P', 'P2', 'P', ('P-I', 'I-P'), weight=1)
g.add_edge('P1', 'P', 'P2', 'P', ('P-P', '-P-P'), weight=1)
g.add_edge('P2', 'P', 'P1', 'P', ('P-P', '-P-P'), weight=1)
g.add_edge('P2', 'P', 'P3', 'P', ('P-P', '-P-P'), weight=1)
g.add_edge('P3', 'P', 'P2', 'P', ('P-P', '-P-P'), weight=1)
g.add_edge('P1', 'P', 'P4', 'P', ('P-P', 'P-P'), weight=2)
g.add_edge('P1', 'P', 'P3', 'P', ('P-P', 'P-P'), weight=1)
g.add_edge('P2', 'P', 'P4', 'P', ('P-P', 'P-P'), weight=1)
self.g = g
def testSimple(self):
g = network.HIN()
g.add_edge('P1', 'P', 'P2', 'P', 'P->P', weight=2)
g.add_edge('P2', 'P', 'P1', 'P', 'P<-P', weight=2)
g.add_edge('P1', 'P', 'A1', 'A', 'P-A', weight=1)
g.add_edge('A1', 'A', 'P1', 'P', 'P-A', weight=1)
edges = g.to_weighted_edge_list()
expected_node2id = {
'P1': 0,
'P2': 1,
'A1': 2,
}
self.assertEquals(expected_node2id, g.node2id)
edges = sorted(edges)
expected_edges = [
(0, 1, 2),
(0, 2, 1),
(1, 0, 2),
(2, 0, 1),
]
self.assertEquals(expected_edges, edges)
def testWithEdgeClassId(self):
g = network.HIN()
g.add_edge('P1', 'P', 'P2', 'P', 'P->P', weight=2)
g.add_edge('P2', 'P', 'P1', 'P', 'P<-P', weight=2)
g.add_edge('P1', 'P', 'A1', 'A', 'P-A', weight=1)
g.add_edge('A1', 'A', 'P1', 'P', 'P-A', weight=1)
edges = g.to_weighted_edge_list(with_edge_class_id=True)
expected_node2id = {
'P1': 0,
'P2': 1,
'A1': 2,
}
self.assertEquals(expected_node2id, g.node2id)
edges = sorted(edges)
expected_edges = [
('A1', 'P1', 1, 2),
('P1', 'A1', 1, 2),
('P1', 'P2', 2, 0),
('P2', 'P1', 2, 1),
]
self.assertEquals(expected_edges, edges)
def testSimple(self):
g = network.HIN()
g.add_edge('U1', 'U', 'U2', 'U', 'U-U', weight=1)
g.add_edge('U2', 'U', 'U1', 'U', 'U-U', weight=1)
g.add_edge('U2', 'U', 'U3', 'U', 'U-U', weight=1)
g.add_edge('U3', 'U', 'U2', 'U', 'U-U', weight=1)
g.add_edge('U1', 'U', 'U4', 'U', 'U-U', weight=2)
g.add_edge('U4', 'U', 'U1', 'U', 'U-U', weight=2)
g.add_edge('U4', 'U', 'U3', 'U', 'U-U', weight=1)
g.add_edge('U3', 'U', 'U4', 'U', 'U-U', weight=1)
g.add_edge('U4', 'U', 'U5', 'U', 'U-U', weight=3)
g.add_edge('U5', 'U', 'U4', 'U', 'U-U', weight=3)
g.add_edge('U1', 'U', 'B1', 'B', 'U-B', weight=1)
g.add_edge('B1', 'B', 'U1', 'U', 'B-U', weight=1)
g.add_edge('U2', 'U', 'B1', 'B', 'U-B', weight=1)
g.add_edge('B1', 'B', 'U2', 'U', 'B-U', weight=1)
expected = [(0, 4, 0), (3, 1, 0), (4, 2, 0), (3, 0, 1)]
actual = g.generate_test_set([0], 4, seed=1)
self.assertEquals(expected, actual)
expected = [(0, 5, 1), (3, 5, 0), (2, 5, 0), (3, 5, 0)]
actual = g.generate_test_set([1], 4, seed=1)
self.assertEquals(expected, actual)
expected = [(0, 4, 1), (3, 1, 1), (4, 2, 1), (3, 0, 0)]
actual = g.generate_test_set([0, 0], 4, seed=1)
self.assertEquals(expected, actual)
expected = [(4, 5, 0), (0, 5, 1), (4, 5, 0), (3, 5, 1)]
actual = g.generate_test_set([0, 1], 4, seed=2)
self.assertEquals(expected, actual)
def testInit(self):
expected = network.HIN()
expected.node2id = {
'P1': 0,
'P2': 1,
'P3': 2,
'I1': 3,
'I2': 4,
'I3': 5,
}
expected.graph = {
0: {
1: {0:1},
2: {0:1},
3: {1:1},
4: {1:1},
5: {1:1},
},
1: {
0: {2:1},
2: {0:1},
3: {1:1},
4: {1:1},
},
2: {
0: {2:1},
1: {2:1},
5: {1:1},
},
3 : {
0: {3:1},
1: {3:1},
},
4 : {
0: {3:1},
1: {3:1},
},
5 : {
0: {3:1},
2: {3:1},
},
}
expected.edge_class2id = {
'P-P': 0,
'P-I': 1,
'-P-P': 2,
'I-P': 3,
}
expected.class_nodes = {
'P': set([0, 1, 2]),
'I': set([3, 4, 5]),
}
expected.edge_class_id_available_node_class = {
0: ('P', 'P'),
1: ('P', 'I'),
2: ('P', 'P'),
3: ('I', 'P'),
}
g = network.HIN()
g.add_edge('P1', 'P', 'P2', 'P', 'P-P')
g.add_edge('P1', 'P', 'P3', 'P', 'P-P')
g.add_edge('P1', 'P', 'I1', 'I', 'P-I')
g.add_edge('P1', 'P', 'I2', 'I', 'P-I')
g.add_edge('P1', 'P', 'I3', 'I', 'P-I')
g.add_edge('P2', 'P', 'P1', 'P', '-P-P')
g.add_edge('P2', 'P', 'P3', 'P', 'P-P')
g.add_edge('P2', 'P', 'I1', 'I', 'P-I')
g.add_edge('P2', 'P', 'I2', 'I', 'P-I')
g.add_edge('P3', 'P', 'P1', 'P', '-P-P')
g.add_edge('P3', 'P', 'P2', 'P', '-P-P')
g.add_edge('P3', 'P', 'I3', 'I', 'P-I')
g.add_edge('I1', 'I', 'P1', 'P', 'I-P')
g.add_edge('I1', 'I', 'P2', 'P', 'I-P')
g.add_edge('I2', 'I', 'P1', 'P', 'I-P')
g.add_edge('I2', 'I', 'P2', 'P', 'I-P')
g.add_edge('I3', 'I', 'P1', 'P', 'I-P')
g.add_edge('I3', 'I', 'P3', 'P', 'I-P')
self.assertEquals(expected, g)
