def test_valid(self):
k2 = nx.complete_graph(2)
emb = {0: [0], 1: [1]}
verify_embedding(emb, k2, k2)
self.assertTrue(is_valid_embedding(emb, k2, k2))
for err in diagnose_embedding(emb, k2, k2):
raise err[0](*err[1:])
def test_valid_clique_coord(self):
k = nx.complete_graph(55)
m = 6
# Find embedding
pg = pegasus_graph(m, coordinates=True)
embedding = find_clique_embedding(k, target_graph=pg)
self.assertTrue(is_valid_embedding(embedding, k, pg))
def test_k_parameter_int(self):
k_int = 5
m = 3
# Find embedding
pg = pegasus_graph(m, coordinates=True)
embedding = find_clique_embedding(k_int, target_graph=pg)
self.assertTrue(is_valid_embedding(embedding, nx.complete_graph(k_int), pg))
def test_valid_clique_ints(self):
k = nx.complete_graph(15)
m = 4
# Find embedding
pg = pegasus_graph(m)
embedding = find_clique_embedding(k, target_graph=pg)
self.assertTrue(is_valid_embedding(embedding, k, pg))
def test_one_clique(self):
k = 1
m = 4
# Find embedding
pg = pegasus_graph(m, coordinates=True)
embedding = find_clique_embedding(k, target_graph=pg)
self.assertTrue(is_valid_embedding(embedding, nx.complete_graph(k), pg))
def test_k_parameter_list(self):
k_nodes = ['one', 'two', 'three']
m = 4
# Find embedding
pg = pegasus_graph(m, coordinates=True)
embedding = find_clique_embedding(k_nodes, target_graph=pg)
self.assertTrue(is_valid_embedding(embedding, nx.complete_graph(k_nodes), pg))
def test_invalid_node(self):
k2 = nx.complete_graph(2)
emb = {0: [0], 1: [2]}
self.assertRaises(InvalidNodeError, lambda: verify_embedding(emb, k2, k2))
self.assertFalse(is_valid_embedding(emb, k2, k2))
etypes = set()
for err in diagnose_embedding(emb, k2, k2):
etypes.add(err[0])
self.assertEqual(etypes, {InvalidNodeError})
def test_chain_overlap(self):
k2 = nx.complete_graph(2)
emb = {0: [0], 1: [0, 1]}
self.assertRaises(ChainOverlapError, lambda: verify_embedding(emb, k2, k2))
self.assertFalse(is_valid_embedding(emb, k2, k2))
etypes = set()
for err in diagnose_embedding(emb, k2, k2):
etypes.add(err[0])
self.assertEqual(etypes, {ChainOverlapError})
def test_missing_chain(self):
k2 = nx.complete_graph(2)
emb = {0: [0]}
self.assertRaises(MissingChainError, lambda: verify_embedding(emb, k2, k2))
self.assertFalse(is_valid_embedding(emb, k2, k2))
etypes = set()
for err in diagnose_embedding(emb, k2, k2):
etypes.add(err[0])
self.assertEqual(etypes, {MissingChainError})
def test_chain_disconnect(self):
k2 = nx.complete_graph(2)
p3 = nx.path_graph(3)
emb = {0: [1], 1: [0, 2]}
self.assertRaises(DisconnectedChainError, lambda: verify_embedding(emb, k2, p3))
self.assertFalse(is_valid_embedding(emb, k2, p3))
etypes = set()
for err in diagnose_embedding(emb, k2, p3):
etypes.add(err[0])
self.assertEqual(etypes, {DisconnectedChainError})
def test_chain_overlap_with_edges(self):
#this is made for compatibility with minorminer; to verify that "overlapped
#embeddings" don't report spurious MissingEdgeErrors
k5 = nx.complete_graph(5)
k4 = nx.complete_graph(4)
emb = {i:[i%4, (i+1)%4] for i in k5}
self.assertRaises(ChainOverlapError, lambda: verify_embedding(emb, k5, k4))
self.assertFalse(is_valid_embedding(emb, k5, k4))
etypes = set()
for err in diagnose_embedding(emb, k5, k4):
etypes.add(err[0])
self.assertEqual(etypes, {ChainOverlapError})
def test_clique_incomplete_graph(self):
k = 5
m = 2
# Nodes in a known K5 embedding
# Note: {0: [14, 32], 1: [33, 15], 2: [16, 34], 3: [35, 17], 4: [36, 12]}
known_embedding_nodes = {14, 32, 33, 15, 16, 34, 35, 17, 36, 12}
# Create graph with missing nodes
incomplete_pg = pegasus_graph(m)
removed_nodes = set(incomplete_pg.nodes) - known_embedding_nodes
incomplete_pg.remove_nodes_from(removed_nodes)
# See if clique embedding is found
embedding = find_clique_embedding(k, target_graph=incomplete_pg)
self.assertTrue(is_valid_embedding(embedding, nx.complete_graph(k), incomplete_pg))
def test_clique_missing_edges(self):
k = 9
m = 2
pg = pegasus_graph(m)
#pick a random ordering of the edges
edges = list(pg.edges())
shuffle(edges)
K = nx.complete_graph(k)
#now delete edges, one at a time, until we can no longer embed K
with self.assertRaises(ValueError):
while 1:
(u, v) = edges.pop()
pg.remove_edge(u, v)
# See if clique embedding is found
embedding = find_clique_embedding(k, target_graph=pg)
self.assertTrue(is_valid_embedding(embedding, K, pg))
