44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
import torch
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from pina.utils import merge_tensors
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from pina.label_tensor import LabelTensor
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from pina import LabelTensor
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from pina.domain import EllipsoidDomain, CartesianDomain
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from pina.utils import check_consistency
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import pytest
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from pina.domain import Location
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def test_merge_tensors():
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tensor1 = LabelTensor(torch.rand((20, 3)), ['a', 'b', 'c'])
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tensor2 = LabelTensor(torch.zeros((20, 3)), ['d', 'e', 'f'])
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tensor3 = LabelTensor(torch.ones((30, 3)), ['g', 'h', 'i'])
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merged_tensor = merge_tensors((tensor1, tensor2, tensor3))
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assert tuple(merged_tensor.labels) == ('a', 'b', 'c', 'd', 'e', 'f', 'g',
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'h', 'i')
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assert merged_tensor.shape == (20 * 20 * 30, 9)
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assert torch.all(merged_tensor.extract(('d', 'e', 'f')) == 0)
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assert torch.all(merged_tensor.extract(('g', 'h', 'i')) == 1)
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def test_check_consistency_correct():
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ellipsoid1 = EllipsoidDomain({'x': [1, 2], 'y': [-2, 1]})
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example_input_pts = LabelTensor(torch.tensor([[0, 0, 0]]), ['x', 'y', 'z'])
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check_consistency(example_input_pts, torch.Tensor)
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check_consistency(CartesianDomain, Location, subclass=True)
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check_consistency(ellipsoid1, Location)
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def test_check_consistency_incorrect():
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ellipsoid1 = EllipsoidDomain({'x': [1, 2], 'y': [-2, 1]})
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example_input_pts = LabelTensor(torch.tensor([[0, 0, 0]]), ['x', 'y', 'z'])
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with pytest.raises(ValueError):
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check_consistency(example_input_pts, Location)
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with pytest.raises(ValueError):
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check_consistency(torch.Tensor, Location, subclass=True)
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with pytest.raises(ValueError):
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check_consistency(ellipsoid1, torch.Tensor)
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