def test_with_separate_mask_cube_and_nan(self):
"""Test for an input cube and an additional mask cube."""
mask_cube = self.cube.copy()
self.cube.data[1, 3] = 0.5
self.cube.data[3, 3] = 0.5
self.cube.data[1, 2] = np.nan
self.cube.data[3, 1] = np.nan
mask_cube.data = np.ones((5, 5))
mask_cube.data[self.cube.data == 0.5] = 0
mask_cube.data = mask_cube.data.astype(int)
expected_mask = np.ones((5, 5))
expected_mask[1, 3] = 0.0
expected_mask[3, 3] = 0.0
expected_mask[1, 2] = 0.0
expected_mask[3, 1] = 0.0
expected_data = self.cube.data * expected_mask
expected_data[1, 2] = 0.0
expected_data[3, 1] = 0.0
expected_nans = np.zeros((5, 5), dtype=np.bool)
expected_nans[1, 2] = True
expected_nans[3, 1] = True
result_cube, result_mask, result_nan_array = RecursiveFilter.set_up_cubes(
self.cube.copy(), mask_cube=mask_cube)
self.assertIsInstance(result_cube, Cube)
self.assertIsInstance(result_mask, Cube)
self.assertArrayAlmostEqual(result_cube.data, expected_data)
self.assertArrayAlmostEqual(result_mask.data, expected_mask)
self.assertArrayEqual(result_nan_array, expected_nans)
def test_without_masked_data(self):
"""Test setting up cubes to be neighbourhooded when the input cube
does not contain masked arrays."""
expected_mask = np.ones((5, 5), dtype=np.bool)
expected_nans = np.zeros((5, 5), dtype=np.bool)
cube, mask, nan_array = RecursiveFilter.set_up_cubes(self.cube)
self.assertIsInstance(cube, Cube)
self.assertIsInstance(mask, Cube)
self.assertEqual(cube, self.cube)
self.assertArrayEqual(nan_array, expected_nans)
self.assertArrayEqual(mask.data, expected_mask)
def test_with_masked_data(self):
"""Test setting up cubes to be neighbourhooded when the input cube
contains masked arrays."""
cube = self.cube
data = cube.data
cube.data[1, 3] = 0.5
cube.data[3, 3] = 0.5
cube.data = np.ma.masked_equal(data, 0.5)
mask = ~cube.data.mask
expected_nans = np.zeros((5, 5), dtype=np.bool)
data = cube.data.data * mask
result_cube, result_mask, result_nan_array = RecursiveFilter.set_up_cubes(
cube.copy())
self.assertArrayAlmostEqual(result_cube.data, data)
self.assertArrayAlmostEqual(result_mask.data, mask)
self.assertArrayEqual(result_nan_array, expected_nans)
