import torch

from pina import LabelTensor
from pina.domain import Exclusion, EllipsoidDomain, CartesianDomain


def test_constructor_two_CartesianDomains():
    Exclusion(
        [
            CartesianDomain({"x": [0, 2], "y": [0, 2]}),
            CartesianDomain({"x": [1, 3], "y": [1, 3]}),
        ]
    )


def test_constructor_two_3DCartesianDomain():
    Exclusion(
        [
            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():
    Exclusion(
        [
            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"])
    domain = Exclusion(
        [
            CartesianDomain({"x": [0, 2], "y": [0, 2]}),
            CartesianDomain({"x": [1, 3], "y": [1, 3]}),
        ]
    )
    assert domain.is_inside(pt_1) == True
    assert domain.is_inside(pt_2) == False


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"])
    domain = Exclusion(
        [
            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) == True
    assert domain.is_inside(pt_2) == False


def test_sample():
    n = 100
    domain = Exclusion(
        [
            EllipsoidDomain({"x": [-1, 1], "y": [-1, 1]}),
            CartesianDomain({"x": [0.3, 1.5], "y": [0.3, 1.5]}),
        ]
    )
    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