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Fix Codacy Warnings (#477)

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Co-authored-by: Dario Coscia <dariocos99@gmail.com>
This commit is contained in:
Filippo Olivo
2025-03-10 15:38:45 +01:00
committed by Nicola Demo
parent e3790e049a
commit 4177bfbb50
157 changed files with 3473 additions and 3839 deletions
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26
tests/test_geometry/test_cartesian.py
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@@ -5,31 +5,31 @@ from pina.domain import CartesianDomain
def test_constructor():
CartesianDomain({'x': [0, 1], 'y': [0, 1]})
CartesianDomain({"x": [0, 1], "y": [0, 1]})
def test_is_inside_check_border():
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ['x', 'y'])
pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ['x', 'y'])
pt_3 = LabelTensor(torch.tensor([[1.5, 0.5]]), ['x', 'y'])
domain = CartesianDomain({'x': [0, 1], 'y': [0, 1]})
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ["x", "y"])
pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ["x", "y"])
pt_3 = LabelTensor(torch.tensor([[1.5, 0.5]]), ["x", "y"])
domain = CartesianDomain({"x": [0, 1], "y": [0, 1]})
for pt, exp_result in zip([pt_1, pt_2, pt_3], [True, True, False]):
assert domain.is_inside(pt, check_border=True) == exp_result
def test_is_inside_not_check_border():
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ['x', 'y'])
pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ['x', 'y'])
pt_3 = LabelTensor(torch.tensor([[1.5, 0.5]]), ['x', 'y'])
domain = CartesianDomain({'x': [0, 1], 'y': [0, 1]})
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ["x", "y"])
pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ["x", "y"])
pt_3 = LabelTensor(torch.tensor([[1.5, 0.5]]), ["x", "y"])
domain = CartesianDomain({"x": [0, 1], "y": [0, 1]})
for pt, exp_result in zip([pt_1, pt_2, pt_3], [True, False, False]):
assert domain.is_inside(pt, check_border=False) == exp_result
def test_is_inside_fixed_variables():
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ['x', 'y'])
pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ['x', 'y'])
pt_3 = LabelTensor(torch.tensor([[1.0, 1.5]]), ['x', 'y'])
domain = CartesianDomain({'x': 1, 'y': [0, 1]})
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ["x", "y"])
pt_2 = LabelTensor(torch.tensor([[1.0, 0.5]]), ["x", "y"])
pt_3 = LabelTensor(torch.tensor([[1.0, 1.5]]), ["x", "y"])
domain = CartesianDomain({"x": 1, "y": [0, 1]})
for pt, exp_result in zip([pt_1, pt_2, pt_3], [False, True, False]):
assert domain.is_inside(pt, check_border=False) == exp_result