982af4a04d
* fix and add tests * minor fix on domain classes --------- Co-authored-by: Dario Coscia <dariocoscia@cli-10-110-0-208.WIFIeduroamSTUD.units.it> Co-authored-by: Dario Coscia <dariocoscia@dhcp-040.eduroam.sissa.it>
30 lines
1.2 KiB
Python
30 lines
1.2 KiB
Python
import torch
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import pytest
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from pina import LabelTensor
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from pina.geometry import EllipsoidDomain
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def test_constructor():
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EllipsoidDomain({'x': [0, 1], 'y': [0, 1]})
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EllipsoidDomain({'x': [0, 1], 'y':[0, 1]}, sample_surface=True)
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def test_is_inside_sample_surface_false():
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domain = EllipsoidDomain({'x': [0, 1], 'y':[0, 1]}, sample_surface=False)
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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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for pt, exp_result in zip([pt_1, pt_2, pt_3], [True, False, False]):
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assert domain.is_inside(pt) == exp_result
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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_sample_surface_true():
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domain = EllipsoidDomain({'x': [0, 1], 'y':[0, 1]}, sample_surface=True)
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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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for pt, exp_result in zip([pt_1, pt_2, pt_3], [False, True, False]):
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assert domain.is_inside(pt) == exp_result |