def test_mg_louvain_with_edgevals(daskGraphFromDataset):
# FIXME: daskGraphFromDataset returns a DiGraph, which Louvain is currently
# accepting. In the future, an MNMG symmeterize will need to be called to
# create a Graph for Louvain.
if is_device_version_less_than((7, 0)):
with pytest.raises(RuntimeError):
parts, mod = dcg.louvain(daskGraphFromDataset)
else:
parts, mod = dcg.louvain(daskGraphFromDataset)
# FIXME: either call Nx with the same dataset and compare results, or
# hardcode golden results to compare to.
print()
print(parts.compute())
print(mod)
print()
def test_mg_louvain_with_edgevals(daskGraphFromDataset):
# FIXME: daskGraphFromDataset returns a DiGraph, which Louvain is currently
# accepting. In the future, an MNMG symmeterize will need to be called to
# create a Graph for Louvain.
parts, mod = dcg.louvain(daskGraphFromDataset)
# FIXME: either call Nx with the same dataset and compare results, or
# hadcode golden results to compare to.
print()
print(parts.compute())
print(mod)
print()