def test_catch_unsupported_dims():
array = np.random.random((3, 4))
with pytest.raises(ValueError):
si.to_spatial_image(array, dims=("x", "purple"))
image = si.to_spatial_image(array)
image = image.rename({"x": "purple"})
assert not si.is_spatial_image(image)
def test_spatial_coords_type_check():
array = np.random.random((3, 4))
coords = {
"x": np.arange(4, dtype=np.float64),
"y": np.arange(3, dtype=np.float64)
}
image = si.to_spatial_image(array, coords=coords)
assert si.is_spatial_image(image)
coords = {
"x": np.arange(4, dtype=np.int16),
"y": np.arange(3, dtype=np.int16)
}
image = si.to_spatial_image(array, coords=coords)
assert not si.is_spatial_image(image)
def test_4D_default_coords():
array = np.random.random((3, 4, 6, 6))
image = si.to_spatial_image(array)
assert np.array_equal(image.coords["z"], np.arange(3, dtype=np.float64))
assert np.array_equal(image.coords["y"], np.arange(4, dtype=np.float64))
assert np.array_equal(image.coords["x"], np.arange(6, dtype=np.float64))
assert np.array_equal(image.coords["c"], np.arange(6, dtype=np.float64))
def test_4D_default_dims():
array = np.random.random((3, 4, 6, 6))
image = si.to_spatial_image(array)
assert image.dims[0] == "z"
assert image.dims[1] == "y"
assert image.dims[2] == "x"
assert image.dims[3] == "c"
def test_uniform_coord_check():
array = np.random.random((3, 4))
coords = {
"x": np.arange(4, dtype=np.float64),
"y": np.arange(3, dtype=np.float64),
}
image = si.to_spatial_image(array, coords=coords)
assert si.is_spatial_image(image)
coords = {
"x": np.arange(4, dtype=np.float64),
"y": np.arange(3, dtype=np.float64),
}
coords["x"][1] = 1.1
image = si.to_spatial_image(array, coords=coords)
assert not si.is_spatial_image(image)
def test_time_coord_type_check():
array = np.random.random((2, 3, 4))
coords = {
"x": np.arange(4, dtype=np.float64),
"y": np.arange(3, dtype=np.float64),
"t": np.arange(2, dtype=np.int),
}
dims = ("t", "y", "x")
image = si.to_spatial_image(array, dims=dims, coords=coords)
assert si.is_spatial_image(image)
coords = {
"x": np.arange(4, dtype=np.float64),
"y": np.arange(3, dtype=np.float64),
"t": np.arange(2, dtype=np.unicode_),
}
dims = ("t", "y", "x")
image = si.to_spatial_image(array, dims=dims, coords=coords)
assert not si.is_spatial_image(image)
def test_2D_default_dims():
array = np.random.random((3, 4))
image = si.to_spatial_image(array)
assert image.dims[0] == "y"
assert image.dims[1] == "x"
def test_to_spatial_image():
array = np.random.random((3, 4))
image = si.to_spatial_image(array)
assert si.is_spatial_image(image)
