Files
PINA/tests/test_geometry/test_intersection.py
Filippo Olivo 4177bfbb50 Fix Codacy Warnings (#477)
---------

Co-authored-by: Dario Coscia <dariocos99@gmail.com>
2025-03-19 17:48:18 +01:00

82 lines
2.3 KiB
Python

import torch
from pina import LabelTensor
from pina.domain import Intersection, EllipsoidDomain, CartesianDomain
def test_constructor_two_CartesianDomains():
Intersection(
[
CartesianDomain({"x": [0, 2], "y": [0, 2]}),
CartesianDomain({"x": [1, 3], "y": [1, 3]}),
]
)
def test_constructor_two_3DCartesianDomain():
Intersection(
[
CartesianDomain({"x": [0, 2], "y": [0, 2], "z": [0, 2]}),
CartesianDomain({"x": [1, 3], "y": [1, 3], "z": [1, 3]}),
]
)
def test_constructor_three_CartesianDomains():
Intersection(
[
CartesianDomain({"x": [0, 2], "y": [0, 2]}),
CartesianDomain({"x": [1, 3], "y": [1, 3]}),
CartesianDomain({"x": [2, 4], "y": [2, 4]}),
]
)
def test_is_inside_two_CartesianDomains():
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5]]), ["x", "y"])
pt_2 = LabelTensor(torch.tensor([[-1, -0.5]]), ["x", "y"])
pt_3 = LabelTensor(torch.tensor([[1.5, 1.5]]), ["x", "y"])
domain = Intersection(
[
CartesianDomain({"x": [0, 2], "y": [0, 2]}),
CartesianDomain({"x": [1, 3], "y": [1, 3]}),
]
)
assert domain.is_inside(pt_1) == False
assert domain.is_inside(pt_2) == False
assert domain.is_inside(pt_3) == True
def test_is_inside_two_3DCartesianDomain():
pt_1 = LabelTensor(torch.tensor([[0.5, 0.5, 0.5]]), ["x", "y", "z"])
pt_2 = LabelTensor(torch.tensor([[-1, -0.5, -0.5]]), ["x", "y", "z"])
pt_3 = LabelTensor(torch.tensor([[1.5, 1.5, 1.5]]), ["x", "y", "z"])
domain = Intersection(
[
CartesianDomain({"x": [0, 2], "y": [0, 2], "z": [0, 2]}),
CartesianDomain({"x": [1, 3], "y": [1, 3], "z": [1, 3]}),
]
)
assert domain.is_inside(pt_1) == False
assert domain.is_inside(pt_2) == False
assert domain.is_inside(pt_3) == True
def test_sample():
n = 100
domain = Intersection(
[
EllipsoidDomain({"x": [-1, 1], "y": [-1, 1]}),
CartesianDomain({"x": [-0.5, 0.5], "y": [-0.5, 0.5]}),
]
)
pts = domain.sample(n)
assert isinstance(pts, LabelTensor)
assert pts.shape[0] == n
n = 105
pts = domain.sample(n)
assert isinstance(pts, LabelTensor)
assert pts.shape[0] == n