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import torch
from torch_geometric.data import Data, HeteroData
from torch_geometric.transforms import AddRemainingSelfLoops
def test_add_remaining_self_loops():
assert str(AddRemainingSelfLoops()) == 'AddRemainingSelfLoops()'
assert len(AddRemainingSelfLoops()(Data())) == 0
# No self-loops in `edge_index`.
edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, 2, 1]])
edge_weight = torch.tensor([1, 2, 3, 4])
edge_attr = torch.tensor([[1, 2], [3, 4], [5, 6], [7, 8]])
data = Data(edge_index=edge_index, num_nodes=3)
data = AddRemainingSelfLoops()(data)
assert len(data) == 2
assert data.edge_index.tolist() == [[0, 1, 1, 2, 0, 1, 2],
[1, 0, 2, 1, 0, 1, 2]]
assert data.num_nodes == 3
# Single self-loop in `edge_index`.
edge_index = torch.tensor([[0, 0, 1, 2], [1, 0, 2, 1]])
data = Data(edge_index=edge_index, num_nodes=3)
data = AddRemainingSelfLoops()(data)
assert len(data) == 2
assert data.edge_index.tolist() == [[0, 1, 2, 0, 1, 2], [1, 2, 1, 0, 1, 2]]
assert data.num_nodes == 3
data = Data(edge_index=edge_index, edge_weight=edge_weight, num_nodes=3)
data = AddRemainingSelfLoops(attr='edge_weight', fill_value=5)(data)
assert data.edge_index.tolist() == [[0, 1, 2, 0, 1, 2], [1, 2, 1, 0, 1, 2]]
assert data.num_nodes == 3
assert data.edge_weight.tolist() == [1, 3, 4, 2, 5, 5]
data = Data(edge_index=edge_index, edge_attr=edge_attr, num_nodes=3)
data = AddRemainingSelfLoops(attr='edge_attr', fill_value='add')(data)
assert data.edge_index.tolist() == [[0, 1, 2, 0, 1, 2], [1, 2, 1, 0, 1, 2]]
assert data.num_nodes == 3
assert data.edge_attr.tolist() == [[1, 2], [5, 6], [7, 8], [3, 4], [8, 10],
[5, 6]]
def test_add_remaining_self_loops_all_loops_exist():
# All self-loops already exist in the data object.
edge_index = torch.tensor([[0, 1, 2], [0, 1, 2]])
data = Data(edge_index=edge_index, num_nodes=3)
data = AddRemainingSelfLoops()(data)
assert data.edge_index.tolist() == edge_index.tolist()
# All self-loops already exist in the data object, some of them appear
# multiple times.
edge_index = torch.tensor([[0, 0, 1, 1, 2], [0, 0, 1, 1, 2]])
data = Data(edge_index=edge_index, num_nodes=3)
data = AddRemainingSelfLoops()(data)
assert data.edge_index.tolist() == [[0, 1, 2], [0, 1, 2]]
def test_hetero_add_remaining_self_loops():
edge_index = torch.tensor([[0, 0, 1, 2], [1, 0, 2, 1]])
data = HeteroData()
data['v'].num_nodes = 3
data['w'].num_nodes = 3
data['v', 'v'].edge_index = edge_index
data['v', 'w'].edge_index = edge_index
data = AddRemainingSelfLoops()(data)
assert data['v', 'v'].edge_index.tolist() == [[0, 1, 2, 0, 1, 2],
[1, 2, 1, 0, 1, 2]]
assert data['v', 'w'].edge_index.tolist() == edge_index.tolist()
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