49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
import pytest
|
|
|
|
from networkx import is_isomorphic
|
|
from networkx.exception import NetworkXError
|
|
from networkx.testing import assert_nodes_equal
|
|
from networkx.generators.spectral_graph_forge import spectral_graph_forge
|
|
from networkx.generators import karate_club_graph
|
|
|
|
|
|
def test_spectral_graph_forge():
|
|
numpy = pytest.importorskip('numpy')
|
|
scipy = pytest.importorskip('scipy')
|
|
|
|
G = karate_club_graph()
|
|
|
|
seed = 54321
|
|
|
|
# common cases, just checking node number preserving and difference
|
|
# between identity and modularity cases
|
|
H = spectral_graph_forge(G, 0.1, transformation='identity', seed=seed)
|
|
assert_nodes_equal(G, H)
|
|
|
|
I = spectral_graph_forge(G, 0.1, transformation='identity', seed=seed)
|
|
assert_nodes_equal(G, H)
|
|
assert is_isomorphic(I, H)
|
|
|
|
I = spectral_graph_forge(G, 0.1, transformation='modularity', seed=seed)
|
|
assert_nodes_equal(G, I)
|
|
|
|
assert not is_isomorphic(I, H)
|
|
|
|
# with all the eigenvectors, output graph is identical to the input one
|
|
H = spectral_graph_forge(G, 1, transformation='modularity', seed=seed)
|
|
assert_nodes_equal(G, H)
|
|
assert is_isomorphic(G, H)
|
|
|
|
# invalid alpha input value, it is silently truncated in [0,1]
|
|
H = spectral_graph_forge(G, -1, transformation='identity', seed=seed)
|
|
assert_nodes_equal(G, H)
|
|
|
|
H = spectral_graph_forge(G, 10, transformation='identity', seed=seed)
|
|
assert_nodes_equal(G, H)
|
|
assert is_isomorphic(G, H)
|
|
|
|
# invalid transformation mode, checking the error raising
|
|
pytest.raises(NetworkXError,
|
|
spectral_graph_forge, G, 0.1, transformation='unknown',
|
|
seed=seed)
|