import numpy as np

from skimage._shared import testing
from skimage._shared.testing import assert_equal

from skimage.util._label import label_points


def test_label_points_coords_dimension():
    coords, output_shape = np.array([[1, 2], [3, 4]]), (5, 5, 2)
    with testing.raises(ValueError):
        label_points(coords, output_shape)


def test_label_points_coords_range():
    coords, output_shape = np.array([[0, 0], [5, 5]]), (5, 5)
    with testing.raises(IndexError):
        label_points(coords, output_shape)


def test_label_points_coords_negative():
    coords, output_shape = np.array([[-1, 0], [5, 5]]), (5, 5)
    with testing.raises(ValueError):
        label_points(coords, output_shape)


def test_label_points_two_dimensional_output():
    coords, output_shape = np.array([[0, 0], [1, 1], [2, 2], [3, 3], [4, 4]]), (5, 5)
    mask = label_points(coords, output_shape)
    assert_equal(
        mask,
        np.array(
            [
                [1, 0, 0, 0, 0],
                [0, 2, 0, 0, 0],
                [0, 0, 3, 0, 0],
                [0, 0, 0, 4, 0],
                [0, 0, 0, 0, 5],
            ]
        ),
    )


def test_label_points_multi_dimensional_output():
    coords, output_shape = np.array(
        [[0, 0, 0], [1, 1, 1], [2, 2, 2], [3, 3, 0], [4, 4, 1]]
    ), (5, 5, 3)
    mask = label_points(coords, output_shape)
    result = np.array(
        [
            [[1, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
            [[0, 0, 0], [0, 2, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0]],
            [[0, 0, 0], [0, 0, 0], [0, 0, 3], [0, 0, 0], [0, 0, 0]],
            [[0, 0, 0], [0, 0, 0], [0, 0, 0], [4, 0, 0], [0, 0, 0]],
            [[0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 0, 0], [0, 5, 0]],
        ]
    )
    assert_equal(mask, result)
