def test__padded_3x3_to_4x4__goes_to_5x5_to_keep_symmetry(self):
data = np.ones((3, 3))
data[1, 1] = 2.0
data = image.Image(data, pixel_scale=0.1)
data = image.pad(data, pixel_dimensions=(4, 4))
assert (data == np.array([[0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 1.0, 2.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0]])).all()
assert data.shape == (5, 5)
assert data.central_pixel_coordinates == (2.0, 2.0)
assert data.shape_arc_seconds == pytest.approx((0.5, 0.5), 1e-3)
def test__padded_4x4_to_6x6(self):
data = np.ones((4, 4))
data[1:3, 1:3] = 2.0
data = image.Image(data, pixel_scale=0.1)
data = image.pad(data, pixel_dimensions=(6, 6))
assert (data == np.array([[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 1.0, 2.0, 2.0, 1.0, 0.0],
[0.0, 1.0, 2.0, 2.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0]])).all()
assert data.shape == (6, 6)
assert data.central_pixel_coordinates == (2.5, 2.5)
assert data.shape_arc_seconds == pytest.approx((0.6, 0.6), 1e-3)
def test__padded_2x3_to_5x6__goes_to_6x7_to_keep_symmetry(self):
data = np.ones((2, 3))
data[0:2, 1] = 2.0
data[1, 2] = 9
data = image.Image(data, pixel_scale=0.1)
data = image.pad(data, pixel_dimensions=(5, 6))
assert (data == np.array([[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 2.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 2.0, 9.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]])).all()
assert data.shape == (6, 7)
assert data.central_pixel_coordinates == (2.5, 3.0)
assert data.shape_arc_seconds == pytest.approx((0.6, 0.7), 1e-3)
def test__padded_4x4_to_7x7__goes_to_8x8_to_keep_symmetry(self):
data = np.ones((4, 4))
data[1:3, 1:3] = 2.0
data = image.Image(data, pixel_scale=0.1)
data = image.pad(data, pixel_dimensions=(7, 7))
assert (data == np.array([[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 2.0, 2.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 2.0, 2.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]])).all()
assert data.shape == (8, 8)
assert data.central_pixel_coordinates == (3.5, 3.5)
assert data.shape_arc_seconds == pytest.approx((0.8, 0.8), 1e-3)
def test__padded_5x5_to_8x8__goes_to_9x9_to_keep_symmetry(self):
data = np.ones((5, 5))
data[2, 2] = 2.0
data = image.Image(data, pixel_scale=0.1)
data = image.pad(data, pixel_dimensions=(8, 8))
assert (data == np.array([[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 1.0, 2.0, 1.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]])).all()
assert data.shape == (9, 9)
assert data.central_pixel_coordinates == (4.0, 4.0)
assert data.shape_arc_seconds == pytest.approx((0.9, 0.9), 1e-3)
def test_plain(self):
src = array([
[
[0.5],
[0.5],
],
[
[0.3],
[0.4],
],
])
result = image.pad(src, 2, padding_pixel=0.99)
expected = array([
[
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
],
[
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
],
[
[0.99],
[0.99],
[0.5],
[0.5],
[0.99],
[0.99],
],
[
[0.99],
[0.99],
[0.3],
[0.4],
[0.99],
[0.99],
],
[
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
],
[
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
[0.99],
],
])
self.assertEqual(expected.tolist(), result.tolist())