77 lines
2.1 KiB
Python
77 lines
2.1 KiB
Python
import torch
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from pina import LabelTensor
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from pina.domain import Exclusion, EllipsoidDomain, CartesianDomain
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def test_constructor_two_CartesianDomains():
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Exclusion(
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[
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CartesianDomain({"x": [0, 2], "y": [0, 2]}),
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CartesianDomain({"x": [1, 3], "y": [1, 3]}),
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]
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)
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def test_constructor_two_3DCartesianDomain():
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Exclusion(
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[
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CartesianDomain({"x": [0, 2], "y": [0, 2], "z": [0, 2]}),
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CartesianDomain({"x": [1, 3], "y": [1, 3], "z": [1, 3]}),
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]
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)
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def test_constructor_three_CartesianDomains():
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Exclusion(
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[
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CartesianDomain({"x": [0, 2], "y": [0, 2]}),
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CartesianDomain({"x": [1, 3], "y": [1, 3]}),
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CartesianDomain({"x": [2, 4], "y": [2, 4]}),
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]
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)
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def test_is_inside_two_CartesianDomains():
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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, -0.5]]), ["x", "y"])
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domain = Exclusion(
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[
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CartesianDomain({"x": [0, 2], "y": [0, 2]}),
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CartesianDomain({"x": [1, 3], "y": [1, 3]}),
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]
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)
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assert domain.is_inside(pt_1) == True
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assert domain.is_inside(pt_2) == False
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def test_is_inside_two_3DCartesianDomain():
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pt_1 = LabelTensor(torch.tensor([[0.5, 0.5, 0.5]]), ["x", "y", "z"])
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pt_2 = LabelTensor(torch.tensor([[-1, -0.5, -0.5]]), ["x", "y", "z"])
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domain = Exclusion(
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[
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CartesianDomain({"x": [0, 2], "y": [0, 2], "z": [0, 2]}),
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CartesianDomain({"x": [1, 3], "y": [1, 3], "z": [1, 3]}),
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]
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)
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assert domain.is_inside(pt_1) == True
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assert domain.is_inside(pt_2) == False
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def test_sample():
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n = 100
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domain = Exclusion(
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[
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EllipsoidDomain({"x": [-1, 1], "y": [-1, 1]}),
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CartesianDomain({"x": [0.3, 1.5], "y": [0.3, 1.5]}),
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]
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)
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pts = domain.sample(n)
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assert isinstance(pts, LabelTensor)
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assert pts.shape[0] == n
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n = 105
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pts = domain.sample(n)
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assert isinstance(pts, LabelTensor)
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assert pts.shape[0] == n
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