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import torch
from torch_geometric.data import Data
from torch_geometric.transforms import LocalCartesian
def test_local_cartesian():
transform = LocalCartesian()
assert str(transform) == 'LocalCartesian()'
pos = torch.tensor([[-1.0, 0.0], [0.0, 0.0], [2.0, 0.0]])
edge_index = torch.tensor([[0, 1, 1, 2], [1, 0, 2, 1]])
edge_attr = torch.tensor([1.0, 2.0, 3.0, 4.0])
data = Data(edge_index=edge_index, pos=pos)
data = transform(data)
assert len(data) == 3
assert data.pos.tolist() == pos.tolist()
assert data.edge_index.tolist() == edge_index.tolist()
assert data.edge_attr.tolist() == [[0.25, 0.5], [1.0, 0.5], [0.0, 0.5],
[1.0, 0.5]]
data = Data(edge_index=edge_index, pos=pos, edge_attr=edge_attr)
data = transform(data)
assert len(data) == 3
assert data.pos.tolist() == pos.tolist()
assert data.edge_index.tolist() == edge_index.tolist()
assert data.edge_attr.tolist() == [[1, 0.25, 0.5], [2, 1.0, 0.5],
[3, 0.0, 0.5], [4, 1.0, 0.5]]
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