def test_from_pairs(self): g = Graph.from_edge_pairs(PAIRS) self.assertEqual(g.num_edges(), 5) self.assertEqual(g.num_vertices(), 4) g = Graph.from_edge_pairs(PAIRS, num_vertices=10) self.assertEqual(g.num_edges(), 5) self.assertEqual(g.num_vertices(), 10) g = Graph.from_edge_pairs(PAIRS, symmetric=True) self.assertEqual(g.num_edges(), 8) self.assertEqual(g.num_vertices(), 4)
def test_from_pairs(self):
g = Graph.from_edge_pairs(PAIRS)
self.assertEqual(g.num_edges(), 5)
self.assertEqual(g.num_vertices(), 4)
g = Graph.from_edge_pairs(PAIRS, num_vertices=10)
self.assertEqual(g.num_edges(), 5)
self.assertEqual(g.num_vertices(), 10)
g = Graph.from_edge_pairs(PAIRS, symmetric=True)
self.assertEqual(g.num_edges(), 8)
self.assertEqual(g.num_vertices(), 4)
def test_from_pairs_weighted(self):
w = np.array([1,1,0.1,2,1,2,3.1,4])
p = [[0,1],[1,2],[2,3],[3,4],[1,0],[2,1],[3,2],[4,3]]
expected = [[0,1,0,0,0],[1,0,1,0,0],[0,2,0,0.1,0],[0,0,3.1,0,2],[0,0,0,4,0]]
G = Graph.from_edge_pairs(p, weights=w, num_vertices=5)
assert_array_almost_equal(G.matrix(dense=True), expected)
# weighted + symmetric
expected = [[0,1,2,0],[1,3,4,0],[2,4,0,0],[0,0,0,5]]
G = Graph.from_edge_pairs(PAIRS, symmetric=True, weights=np.arange(1,6))
assert_array_equal(G.matrix(dense=True), expected)
def test_from_pairs_empty(self): g = Graph.from_edge_pairs([]) self.assertEqual(g.num_edges(), 0) self.assertEqual(g.num_vertices(), 0) ii, jj = g.pairs().T assert_array_equal(ii, []) assert_array_equal(jj, []) # Make sure ii and jj have indexable dtypes PAIRS[ii,jj] # Make sure num_vertices is set correctly g = Graph.from_edge_pairs([], num_vertices=5) self.assertEqual(g.num_edges(), 0) self.assertEqual(g.num_vertices(), 5)
def test_from_pairs_empty(self):
g = Graph.from_edge_pairs([])
self.assertEqual(g.num_edges(), 0)
self.assertEqual(g.num_vertices(), 0)
ii, jj = g.pairs().T
assert_array_equal(ii, [])
assert_array_equal(jj, [])
# Make sure ii and jj have indexable dtypes
PAIRS[ii, jj]
# Make sure num_vertices is set correctly
g = Graph.from_edge_pairs([], num_vertices=5)
self.assertEqual(g.num_edges(), 0)
self.assertEqual(g.num_vertices(), 5)
def test_from_pairs_weighted(self):
w = np.array([1, 1, 0.1, 2, 1, 2, 3.1, 4])
p = [[0, 1], [1, 2], [2, 3], [3, 4], [1, 0], [2, 1], [3, 2], [4, 3]]
expected = [[0, 1, 0, 0, 0], [1, 0, 1, 0, 0], [0, 2, 0, 0.1, 0],
[0, 0, 3.1, 0, 2], [0, 0, 0, 4, 0]]
G = Graph.from_edge_pairs(p, weights=w, num_vertices=5)
assert_array_almost_equal(G.matrix('dense'), expected)
# weighted + symmetric
w = np.arange(1, 6)
expected = [[0, 1, 2, 0], [1, 3, 4, 0], [2, 4, 0, 0], [0, 0, 0, 5]]
G = Graph.from_edge_pairs(PAIRS, symmetric=True, weights=w)
assert_array_equal(G.matrix('dense'), expected)
G = Graph.from_edge_pairs(PAIRS[::-1], symmetric=True, weights=w[::-1])
assert_array_equal(G.matrix('dense'), expected)
def test_from_pairs_weighted(self):
w = np.array([1,1,0.1,2,1,2,3.1,4])
p = [[0,1],[1,2],[2,3],[3,4],[1,0],[2,1],[3,2],[4,3]]
expected = [[0,1,0,0,0],[1,0,1,0,0],[0,2,0,0.1,0],[0,0,3.1,0,2],[0,0,0,4,0]]
G = Graph.from_edge_pairs(p, weights=w, num_vertices=5)
assert_array_almost_equal(G.matrix(dense=True), expected)
# weighted + symmetric is NYI for now
self.assertRaises(NotImplementedError, Graph.from_edge_pairs, PAIRS,
symmetric=True, weights=w)
def test_from_pairs_floating(self):
g = Graph.from_edge_pairs(PAIRS.astype(float))
p = g.pairs()
self.assertTrue(np.can_cast(p, PAIRS.dtype, casting='same_kind'),
"Expected integral dtype, got %s" % p.dtype)
assert_array_equal(p, PAIRS)
def test_from_pairs_floating(self):
g = Graph.from_edge_pairs(PAIRS.astype(float))
p = g.pairs()
self.assertTrue(np.can_cast(p, PAIRS.dtype, casting='same_kind'),
"Expected integral dtype, got %s" % p.dtype)
assert_array_equal(p, PAIRS)
