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from math import pi as PI
import torch
from torch_geometric.data import Data
from torch_geometric.transforms import Spherical
def test_spherical():
assert str(Spherical()) == 'Spherical(norm=True, max_value=None)'
pos = torch.tensor([[0.0, 0.0, 0.0], [1.0, 0.0, 0.0]])
edge_index = torch.tensor([[0, 1], [1, 0]])
edge_attr = torch.tensor([1.0, 1.0])
data = Data(edge_index=edge_index, pos=pos)
data = Spherical(norm=False)(data)
assert len(data) == 3
assert data.pos.tolist() == pos.tolist()
assert data.edge_index.tolist() == edge_index.tolist()
assert torch.allclose(
data.edge_attr,
torch.tensor([[1.0, 0.0, PI / 2.0], [1.0, PI, PI / 2.0]]),
atol=1e-4,
)
data = Data(edge_index=edge_index, pos=pos, edge_attr=edge_attr)
data = Spherical(norm=True)(data)
assert len(data) == 3
assert data.pos.tolist() == pos.tolist()
assert data.edge_index.tolist() == edge_index.tolist()
assert torch.allclose(
data.edge_attr,
torch.tensor([[1.0, 1.0, 0.0, 0.5], [1.0, 1.0, 0.5, 0.5]]),
atol=1e-4,
)
pos = torch.tensor([[0.0, 0.0, 0.0], [0.0, 0.0, 1.0]])
edge_index = torch.tensor([[0, 1], [1, 0]])
data = Data(edge_index=edge_index, pos=pos)
data = Spherical(norm=False)(data)
assert len(data) == 3
assert data.pos.tolist() == pos.tolist()
assert data.edge_index.tolist() == edge_index.tolist()
assert torch.allclose(
data.edge_attr,
torch.tensor([[1.0, 0.0, 0.0], [1.0, 0.0, PI]]),
atol=1e-4,
)
data = Data(edge_index=edge_index, pos=pos, edge_attr=edge_attr)
data = Spherical(norm=True)(data)
assert len(data) == 3
assert data.pos.tolist() == pos.tolist()
assert data.edge_index.tolist() == edge_index.tolist()
assert torch.allclose(
data.edge_attr,
torch.tensor([[1.0, 1.0, 0.0, 0.0], [1.0, 1.0, 0.0, 1.0]]),
atol=1e-4,
)
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