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import torch
from torch_geometric.data import Data
from torch_geometric.transforms import Cartesian
def test_cartesian():
assert str(Cartesian()) == 'Cartesian(norm=True, max_value=None)'
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 = Cartesian(norm=False)(data)
assert len(data) == 3
assert torch.equal(data.pos, pos)
assert torch.equal(data.edge_index, edge_index)
assert torch.allclose(
data.edge_attr,
torch.tensor([[-1.0, 0.0], [1.0, 0.0], [-2.0, 0.0], [2.0, 0.0]]),
)
data = Data(edge_index=edge_index, pos=pos, edge_attr=edge_attr)
data = Cartesian(norm=True)(data)
assert len(data) == 3
assert torch.equal(data.pos, pos)
assert torch.equal(data.edge_index, edge_index)
assert torch.allclose(
data.edge_attr,
torch.tensor([
[1, 0.25, 0.5],
[2, 0.75, 0.5],
[3, 0, 0.5],
[4, 1, 0.5],
]),
)
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