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import torch
from torch_geometric.data import Data, HeteroData
from torch_geometric.transforms import RemoveSelfLoops
def test_remove_self_loops():
assert str(RemoveSelfLoops()) == 'RemoveSelfLoops()'
assert len(RemoveSelfLoops()(Data())) == 0
edge_index = torch.tensor([[0, 1, 1, 2], [0, 0, 1, 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 = RemoveSelfLoops()(data)
assert len(data) == 2
assert data.edge_index.tolist() == [[1, 2], [0, 1]]
assert data.num_nodes == 3
data = Data(edge_index=edge_index, edge_weight=edge_weight, num_nodes=3)
data = RemoveSelfLoops(attr='edge_weight')(data)
assert data.edge_index.tolist() == [[1, 2], [0, 1]]
assert data.num_nodes == 3
assert data.edge_weight.tolist() == [2, 4]
data = Data(edge_index=edge_index, edge_attr=edge_attr, num_nodes=3)
data = RemoveSelfLoops(attr='edge_attr')(data)
assert data.edge_index.tolist() == [[1, 2], [0, 1]]
assert data.num_nodes == 3
assert data.edge_attr.tolist() == [[3, 4], [7, 8]]
def test_hetero_remove_self_loops():
edge_index = torch.tensor([[0, 1, 1, 2], [0, 0, 1, 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 = RemoveSelfLoops()(data)
assert data['v', 'v'].edge_index.tolist() == [[1, 2], [0, 1]]
assert data['v', 'w'].edge_index.tolist() == edge_index.tolist()
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