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import pytest
import torch
from torch_geometric.data import Data
from torch_geometric.datasets.motif_generator import CustomMotif
from torch_geometric.testing import withPackage
def test_custom_motif_pyg_data():
structure = Data(
num_nodes=3,
edge_index=torch.tensor([[0, 1, 2, 1, 2, 0], [1, 2, 0, 0, 1, 2]]),
)
motif_generator = CustomMotif(structure)
assert str(motif_generator) == 'CustomMotif()'
assert structure == motif_generator()
@withPackage('networkx')
def test_custom_motif_networkx():
import networkx as nx
structure = nx.gnm_random_graph(5, 10, seed=2000)
motif_generator = CustomMotif(structure)
assert str(motif_generator) == 'CustomMotif()'
out = motif_generator()
assert len(out) == 2
assert out.num_nodes == 5
assert out.num_edges == 20
def test_custom_motif_unknown():
with pytest.raises(ValueError, match="motif structure of type"):
CustomMotif(structure='unknown')
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