import torch

from pina import LabelTensor
from pina.domain import CartesianDomain


def test_constructor():
    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]})
    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]})
    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]})
    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