def test_add_layer2image_int():
grid2d = np.zeros((7, 7))
x_pos, y_pos = 4, 1
kernel = np.ones((3, 3))
added = image_util.add_layer2image_int(grid2d, x_pos, y_pos, kernel)
print(added)
assert added[0, 0] == 0
assert added[0, 3] == 1
added = image_util.add_layer2image_int(grid2d, x_pos + 10, y_pos, kernel)
print(added)
npt.assert_almost_equal(grid2d, added, decimal=9)
def test_raise(self):
with self.assertRaises(ValueError):
grid2d = np.zeros((7, 7))
x_pos, y_pos = 4, 1
kernel = np.ones((2, 2))
added = image_util.add_layer2image_int(grid2d, x_pos, y_pos, kernel)
with self.assertRaises(ValueError):
image = np.ones((5, 5))
image_util.re_size(image, factor=2)
with self.assertRaises(ValueError):
image = np.ones((5, 5))
image_util.re_size(image, factor=0.5)
with self.assertRaises(ValueError):
image = np.ones((5, 5))
image_util.cut_edges(image, numPix=7)
with self.assertRaises(ValueError):
image = np.ones((5, 6))
image_util.cut_edges(image, numPix=3)
with self.assertRaises(ValueError):
image = np.ones((5, 5))
image_util.cut_edges(image, numPix=2)