def test_invalid_offset_not_none():
"""Test reconstruction with invalid not None offset parameter"""
# fmt: off
image = cp.asarray([[1, 1, 1, 1, 1, 1, 1, 1],
[1, 2, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 3, 1],
[1, 1, 1, 1, 1, 1, 1, 1]])
mask = cp.asarray([[4, 4, 4, 1, 1, 1, 1, 1],
[4, 4, 4, 1, 1, 1, 1, 1],
[4, 4, 4, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 4, 4, 4],
[1, 1, 1, 1, 1, 4, 4, 4],
[1, 1, 1, 1, 1, 4, 4, 4]])
# fmt: on
with pytest.raises(ValueError):
reconstruction(
image,
mask,
method="dilation",
selem=np.ones((3, 3)),
offset=np.array([3, 0]),
)
def test_invalid_seed():
seed = cp.ones((5, 5))
mask = cp.ones((5, 5))
with pytest.raises(ValueError):
reconstruction(seed * 2, mask, method="dilation")
with pytest.raises(ValueError):
reconstruction(seed * 0.5, mask, method="erosion")
def test_two_image_peaks():
"""Test reconstruction with two peak pixels isolated by the mask"""
# fmt: off
image = cp.asarray([[1, 1, 1, 1, 1, 1, 1, 1],
[1, 2, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 1, 3, 1],
[1, 1, 1, 1, 1, 1, 1, 1]])
mask = cp.asarray([[4, 4, 4, 1, 1, 1, 1, 1],
[4, 4, 4, 1, 1, 1, 1, 1],
[4, 4, 4, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 4, 4, 4],
[1, 1, 1, 1, 1, 4, 4, 4],
[1, 1, 1, 1, 1, 4, 4, 4]])
expected = cp.asarray([[2, 2, 2, 1, 1, 1, 1, 1],
[2, 2, 2, 1, 1, 1, 1, 1],
[2, 2, 2, 1, 1, 1, 1, 1],
[1, 1, 1, 1, 1, 3, 3, 3],
[1, 1, 1, 1, 1, 3, 3, 3],
[1, 1, 1, 1, 1, 3, 3, 3]])
# fmt: on
assert_array_almost_equal(reconstruction(image, mask), expected)
def test_fill_hole():
"""Test reconstruction by erosion, which should fill holes in mask."""
seed = cp.asarray([0, 8, 8, 8, 8, 8, 8, 8, 8, 0])
mask = cp.asarray([0, 3, 6, 2, 1, 1, 1, 4, 2, 0])
result = reconstruction(seed, mask, method="erosion")
assert_array_almost_equal(
result, cp.asarray([0, 3, 6, 4, 4, 4, 4, 4, 2, 0])
)
def test_invalid_selem():
seed = cp.ones((5, 5))
mask = cp.ones((5, 5))
with pytest.raises(ValueError):
reconstruction(seed, mask, selem=np.ones((4, 4)))
with pytest.raises(ValueError):
reconstruction(seed, mask, selem=np.ones((3, 4)))
reconstruction(seed, mask, selem=np.ones((3, 3)))
def test_offset_not_none():
"""Test reconstruction with valid offset parameter"""
seed = cp.asarray([0, 3, 6, 2, 1, 1, 1, 4, 2, 0])
mask = cp.asarray([0, 8, 6, 8, 8, 8, 8, 4, 4, 0])
expected = cp.asarray([0, 3, 6, 6, 6, 6, 6, 4, 4, 0])
assert_array_almost_equal(
reconstruction(
seed,
mask,
method="dilation",
selem=np.ones(3),
offset=np.array([0]),
),
expected,
)
def test_zero_image_one_mask():
"""Test reconstruction with an image of all zeros and a mask that's not"""
result = reconstruction(cp.zeros((10, 10)), cp.ones((10, 10)))
assert_array_almost_equal(result, 0)
def test_one_image_peak():
"""Test reconstruction with one peak pixel"""
image = cp.ones((5, 5))
image[2, 2] = 2
mask = cp.ones((5, 5)) * 3
assert_array_almost_equal(reconstruction(image, mask), 2)
def test_image_less_than_mask():
"""Test reconstruction where the image is uniform and less than mask"""
image = cp.ones((5, 5))
mask = cp.ones((5, 5)) * 2
assert_array_almost_equal(reconstruction(image, mask), 1)
def test_image_equals_mask():
"""Test reconstruction where the image and mask are the same"""
assert_array_almost_equal(
reconstruction(cp.ones((7, 5)), cp.ones((7, 5))), 1
)
def test_zeros():
"""Test reconstruction with image and mask of zeros"""
assert_array_almost_equal(
reconstruction(cp.zeros((5, 7)), cp.zeros((5, 7))), 0
)
def test_invalid_method():
seed = cp.asarray([0, 8, 8, 8, 8, 8, 8, 8, 8, 0])
mask = cp.asarray([0, 3, 6, 2, 1, 1, 1, 4, 2, 0])
with pytest.raises(ValueError):
reconstruction(seed, mask, method="foo")