def test_force_masked(self):
a = np.arange(0, 24, dtype=np.int32)
a.shape = 4, 6
source_image = FastNdarrayDownsamplingImage(a,
tile_size=(2, 2),
num_levels=1,
z_index=0)
target_image = TransformArrayImage(source_image,
force_masked=True,
no_data_value=14)
self.assertEqual(target_image.size, (6, 4))
self.assertEqual(target_image.num_tiles, (3, 2))
self.assertEqual(target_image.num_tiles, (3, 2))
self.assertEqual(
target_image.get_tile(0, 0).tolist(), [[0, 1], [6, 7]])
self.assertEqual(
target_image.get_tile(1, 0).tolist(), [[2, 3], [8, 9]])
self.assertEqual(
target_image.get_tile(2, 0).tolist(), [[4, 5], [10, 11]])
self.assertEqual(
target_image.get_tile(0, 1).tolist(), [[12, 13], [18, 19]])
self.assertEqual(
target_image.get_tile(1, 1).tolist(), [[None, 15], [20, 21]])
self.assertEqual(
target_image.get_tile(2, 1).tolist(), [[16, 17], [22, 23]])
a = np.arange(0, 24, dtype=np.float64)
a.shape = 4, 6
a[1, 2] = np.nan
a[2, 5] = np.inf
source_image = FastNdarrayDownsamplingImage(a,
tile_size=(2, 2),
num_levels=1,
z_index=0)
target_image = TransformArrayImage(source_image, force_masked=True)
self.assertEqual(target_image.size, (6, 4))
self.assertEqual(target_image.num_tiles, (3, 2))
self.assertEqual(
target_image.get_tile(0, 0).tolist(), [[0, 1], [6, 7]])
self.assertEqual(
target_image.get_tile(1, 0).tolist(), [[2, 3], [None, 9]])
self.assertEqual(
target_image.get_tile(2, 0).tolist(), [[4, 5], [10, 11]])
self.assertEqual(
target_image.get_tile(0, 1).tolist(), [[12, 13], [18, 19]])
self.assertEqual(
target_image.get_tile(1, 1).tolist(), [[14, 15], [20, 21]])
self.assertEqual(
target_image.get_tile(2, 1).tolist(), [[16, None], [22, 23]])
def test_flip_y(self):
a = np.arange(0, 24, dtype=np.int32)
a.shape = 4, 6
source_image = FastNdarrayDownsamplingImage(a,
tile_size=(2, 2),
num_levels=1,
z_index=0)
target_image = TransformArrayImage(source_image, flip_y=True)
self.assertEqual(target_image.size, (6, 4))
self.assertEqual(target_image.num_tiles, (3, 2))
self.assertEqual(target_image.num_tiles, (3, 2))
self.assertEqual(
target_image.get_tile(0, 0).tolist(), [[18, 19], [12, 13]])
self.assertEqual(
target_image.get_tile(1, 0).tolist(), [[20, 21], [14, 15]])
self.assertEqual(
target_image.get_tile(2, 0).tolist(), [[22, 23], [16, 17]])
self.assertEqual(
target_image.get_tile(0, 1).tolist(), [[6, 7], [0, 1]])
self.assertEqual(
target_image.get_tile(1, 1).tolist(), [[8, 9], [2, 3]])
self.assertEqual(
target_image.get_tile(2, 1).tolist(), [[10, 11], [4, 5]])
def test_pad_tile(self):
a = np.arange(0, 6, dtype=np.float32)
a.shape = 2, 3
b = FastNdarrayDownsamplingImage.pad_tile(a, (3, 2))
np.testing.assert_equal(b, np.array([[0., 1., 2.],
[3., 4., 5.]]))
b = FastNdarrayDownsamplingImage.pad_tile(a, (4, 2))
np.testing.assert_equal(b, np.array([[0., 1., 2., np.nan],
[3., 4., 5., np.nan]]))
b = FastNdarrayDownsamplingImage.pad_tile(a, (3, 3))
np.testing.assert_equal(b, np.array([[0., 1., 2.],
[3., 4., 5.],
[np.nan, np.nan, np.nan]]))
b = FastNdarrayDownsamplingImage.pad_tile(a, (4, 3))
np.testing.assert_equal(b, np.array([[0., 1., 2., np.nan],
[3., 4., 5., np.nan],
[np.nan, np.nan, np.nan, np.nan]]))
def test_pad_tile(self):
a = np.arange(0, 6, dtype=np.float32)
a.shape = 2, 3
b = FastNdarrayDownsamplingImage.pad_tile(a, (3, 2))
np.testing.assert_equal(b, np.array([[0., 1., 2.], [3., 4., 5.]]))
b = FastNdarrayDownsamplingImage.pad_tile(a, (4, 2))
np.testing.assert_equal(
b, np.array([[0., 1., 2., np.nan], [3., 4., 5., np.nan]]))
b = FastNdarrayDownsamplingImage.pad_tile(a, (3, 3))
np.testing.assert_equal(
b, np.array([[0., 1., 2.], [3., 4., 5.], [np.nan, np.nan,
np.nan]]))
b = FastNdarrayDownsamplingImage.pad_tile(a, (4, 3))
np.testing.assert_equal(
b,
np.array([[0., 1., 2., np.nan], [3., 4., 5., np.nan],
[np.nan, np.nan, np.nan, np.nan]]))
def test_force_2d(self):
a = np.arange(0, 48, dtype=np.int32)
a.shape = 2, 4, 6
source_image = FastNdarrayDownsamplingImage(a, (2, 2), 0)
target_image = TransformArrayImage(source_image, force_2d=True)
self.assertEqual(target_image.size, (6, 4))
self.assertEqual(target_image.tile_size, (2, 2))
self.assertEqual(target_image.num_tiles, (3, 2))
def test_level_2(self):
a = np.arange(0, 16 * 24, dtype=np.int32)
a.shape = 16, 24
source_image = FastNdarrayDownsamplingImage(a, (2, 2), 2)
target_image = TransformArrayImage(source_image)
self.assertEqual(target_image.size, (6, 4))
self.assertEqual(target_image.tile_size, (2, 2))
self.assertEqual(target_image.num_tiles, (3, 2))
self.assertEqual(
target_image.get_tile(0, 0).tolist(), [[0, 4], [96, 100]])
self.assertEqual(
target_image.get_tile(1, 0).tolist(), [[8, 12], [104, 108]])
self.assertEqual(
target_image.get_tile(2, 0).tolist(), [[16, 20], [112, 116]])
self.assertEqual(
target_image.get_tile(0, 1).tolist(), [[192, 196], [288, 292]])
self.assertEqual(
target_image.get_tile(1, 1).tolist(), [[200, 204], [296, 300]])
self.assertEqual(
target_image.get_tile(2, 1).tolist(), [[208, 212], [304, 308]])
def test_default(self):
a = np.arange(0, 24, dtype=np.int32)
a.shape = 4, 6
source_image = FastNdarrayDownsamplingImage(a, (2, 2), 0)
target_image = TransformArrayImage(source_image)
self.assertEqual(target_image.size, (6, 4))
self.assertEqual(target_image.tile_size, (2, 2))
self.assertEqual(target_image.num_tiles, (3, 2))
self.assertEqual(
target_image.get_tile(0, 0).tolist(), [[0, 1], [6, 7]])
self.assertEqual(
target_image.get_tile(1, 0).tolist(), [[2, 3], [8, 9]])
self.assertEqual(
target_image.get_tile(2, 0).tolist(), [[4, 5], [10, 11]])
self.assertEqual(
target_image.get_tile(0, 1).tolist(), [[12, 13], [18, 19]])
self.assertEqual(
target_image.get_tile(1, 1).tolist(), [[14, 15], [20, 21]])
self.assertEqual(
target_image.get_tile(2, 1).tolist(), [[16, 17], [22, 23]])