36 lines
1.4 KiB
Python
36 lines
1.4 KiB
Python
import torch
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from pina import LabelTensor
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from pina.domain import CartesianDomain
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def test_constructor():
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CartesianDomain({'x': [0, 1], 'y': [0, 1]})
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def test_is_inside_check_border():
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pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ['x', 'y'])
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pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ['x', 'y'])
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pt_3 = LabelTensor(torch.tensor([[1.5, 0.5]]), ['x', 'y'])
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domain = CartesianDomain({'x': [0, 1], 'y': [0, 1]})
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for pt, exp_result in zip([pt_1, pt_2, pt_3], [True, True, False]):
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assert domain.is_inside(pt, check_border=True) == exp_result
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def test_is_inside_not_check_border():
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pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ['x', 'y'])
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pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ['x', 'y'])
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pt_3 = LabelTensor(torch.tensor([[1.5, 0.5]]), ['x', 'y'])
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domain = CartesianDomain({'x': [0, 1], 'y': [0, 1]})
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for pt, exp_result in zip([pt_1, pt_2, pt_3], [True, False, False]):
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assert domain.is_inside(pt, check_border=False) == exp_result
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def test_is_inside_fixed_variables():
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pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ['x', 'y'])
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pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ['x', 'y'])
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pt_3 = LabelTensor(torch.tensor([[1.0, 1.5]]), ['x', 'y'])
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domain = CartesianDomain({'x': 1, 'y': [0, 1]})
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for pt, exp_result in zip([pt_1, pt_2, pt_3], [False, True, False]):
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assert domain.is_inside(pt, check_border=False) == exp_result
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