def test_blur_3(self):
inpfile = os.path.join(TEST_DIRECTORY, 'test_images', '%s.png' % 'centered_pixel')
expected_3 = lab.Image(11, 11, [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, 0, 0, 0,
0, 0, 0, 0, 28, 28, 28, 0, 0, 0, 0,
0, 0, 0, 0, 28, 28, 28, 0, 0, 0, 0,
0, 0, 0, 0, 28, 28, 28, 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, 0, 0, 0, 0, 0, 0, 0])
expected_5 = lab.Image(11,11, [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, 10, 10, 10, 10, 10, 0, 0, 0,
0, 0, 0, 10, 10, 10, 10, 10, 0, 0, 0,
0, 0, 0, 10, 10, 10, 10, 10, 0, 0, 0,
0, 0, 0, 10, 10, 10, 10, 10, 0, 0, 0,
0, 0, 0, 10, 10, 10, 10, 10, 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])
result_3 = lab.Image.load(inpfile).blurred(3)
result_5 = lab.Image.load(inpfile).blurred(5)
self.assertEqual(expected_3,result_3)
self.assertEqual(expected_5,result_5)
def test_inverted_2(self):
# REPLACE THIS from your test case from section 3.1
im = lab.Image(4, 1, [24, 93, 140, 197])
result = im.inverted()
expected = lab.Image(4, 1, [231, 162, 115, 58])
print(result.pixels)
self.assertEqual(result, expected)
def test_blur(self):
for kernsize in (1, 3, 7):
for fname in ('mushroom', 'twocats', 'chess'):
with self.subTest(k=kernsize, f=fname):
inpfile = os.path.join(TEST_DIRECTORY, 'test_images',
'%s.png' % fname)
expfile = os.path.join(
TEST_DIRECTORY, 'test_results',
'%s_blur_%02d.png' % (fname, kernsize))
result = lab.Image.load(inpfile).blurred(kernsize)
expected = lab.Image.load(expfile)
self.assertEqual(result, expected)
## PERSONAL TEST CASES:
for kernsize in (3, 7):
input_image = lab.Image(6, 5, [
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
])
result = input_image.blurred(kernsize)
expected = lab.Image(6, 5, [
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
])
self.assertEqual(result, expected)
for kernsize in (3, 5):
input_image = lab.Image.load("test_images/centered_pixel.png")
results = input_image.blurred(kernsize)
if kernsize == 3:
expected = lab.Image(11, 11, [
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, 0, 0, 0, 0, 0, 0, 0, 28, 28, 28, 0, 0, 0, 0, 0, 0, 0, 0,
28, 28, 28, 0, 0, 0, 0, 0, 0, 0, 0, 28, 28, 28, 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, 0, 0, 0,
0, 0, 0, 0
])
elif kernsize == 5:
expected = lab.Image(11, 11, [
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, 10, 10, 10,
10, 10, 0, 0, 0, 0, 0, 0, 10, 10, 10, 10, 10, 0, 0, 0, 0,
0, 0, 10, 10, 10, 10, 10, 0, 0, 0, 0, 0, 0, 10, 10, 10, 10,
10, 0, 0, 0, 0, 0, 0, 10, 10, 10, 10, 10, 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
])
self.assertEqual(results, expected)
def test_correlation_1(self):
expected = lab.Image.load('test_images/centered_pixel.png')
kernel = lab.Image(3, 3, [0, 0, 0,
0, 1, 0,
0, 0, 0])
result = expected.filtered(kernel)
self.assertEqual(result, expected)
def test_blur2(self):
im = lab.Image(6, 5, [
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
])
for kernsize in (3, 5):
result = im.blurred(kernsize)
self.assertEqual(result, im)
def test_correlation_3(self):
im = lab.Image.load('test_images/centered_pixel.png')
kernel = lab.Image(3, 3, [0, 0.2, 0,
0.2, 0.2, 0.2,
0, 0.2, 0])
result = im.filtered(kernel)
expected = lab.Image(11, 11,
[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, 0, 0, 0,
0, 0, 0, 0, 0, 51, 0, 0, 0, 0, 0,
0, 0, 0, 0, 51, 51, 51, 0, 0, 0, 0,
0, 0, 0, 0, 0, 51, 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, 0, 0, 0, 0, 0, 0, 0, 0])
self.assertEqual(result, expected)
def test_blur_2(self):
im = lab.Image(6,5,
[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])
for kernsize in (3,7):
im_blurred = im.blurred(kernsize)
self.assertEqual(im_blurred, im)
def test_get_unbounded_pixel(self):
im = lab.Image(3, 3, [21, 57, 167, 215, 32, 209, 2, 98, 182])
data = (((-2, -1), 21), ((1, -2), 57), ((4, -3), 167),
((-1, 1), 215), ((1, 1), 32), ((5, 1), 209),
((-3, 3), 2), ((1, 4), 98), ((5, 3), 182))
for coordinates, value in data:
with self.subTest(c=coordinates):
x, y = coordinates
result = im.get_unbounded_pixel(x, y)
self.assertEqual(result, value)
def test_edges(self):
for fname in ('mushroom', 'twocats', 'chess'):
with self.subTest(f=fname):
inpfile = os.path.join(TEST_DIRECTORY, 'test_images', '%s.png' % fname)
expfile = os.path.join(TEST_DIRECTORY, 'test_results', '%s_edges.png' % fname)
input_img = lab.Image.load(inpfile)
input_img_copy = lab.Image(input_img.width, input_img.height, input_img.pixels)
result = input_img.edges()
expected = lab.Image.load(expfile)
self.assertEqual(input_img, input_img_copy, "Be careful not to modify the original image!")
self.assertEqual(result, expected)
def test_load(self):
result = lab.Image.load('test_images/centered_pixel.png')
expected = lab.Image(11, 11, [
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, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 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, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
])
self.assertEqual(result, expected)
def test_centered_1(self):
im = lab.Image.load('test_images/centered_pixel.png')
expected = lab.Image(11, 11, [
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, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 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, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
])
result = im.blurred(1)
self.assertEqual(result, expected)
def test_edges_1(self):
im = lab.Image.load('test_images/centered_pixel.png')
result = im.edges()
expected = lab.Image(11, 11, [
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, 0, 0, 0,
0, 0, 0, 0, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 255, 0, 255, 0,
0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 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, 0, 0, 0, 0, 0, 0, 0
])
self.assertEqual(result, expected)
def test_sharpened(self):
for kernsize in (1, 3, 9):
for fname in ('mushroom', 'twocats', 'chess'):
with self.subTest(k=kernsize, f=fname):
inpfile = os.path.join(TEST_DIRECTORY, 'test_images', '%s.png' % fname)
expfile = os.path.join(TEST_DIRECTORY, 'test_results', '%s_sharp_%02d.png' % (fname, kernsize))
input_img = lab.Image.load(inpfile)
input_img_copy = lab.Image(input_img.width, input_img.height, input_img.pixels)
result = input_img.sharpened(kernsize)
expected = lab.Image.load(expfile)
self.assertEqual(input_img, input_img_copy, "Be careful not to modify the original image!")
self.assertEqual(result, expected)
def test_correlate_1(self):
kernel = [[0, 0, 0], [0, 1, 0], [0, 0, 0]]
im = lab.Image.load('test_images/centered_pixel.png')
result = im.correlate(kernel)
expected = lab.Image(11, 11, [
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, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 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, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
])
self.assertEqual(result, expected)
def test_blur_2(self):
im = lab.Image.load('test_images/centered_pixel.png')
result1 = im.blurred(3)
result2 = im.blurred(5)
expected1 = lab.Image(11, 11, [
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, 0, 0, 0,
0, 0, 0, 0, 28, 28, 28, 0, 0, 0, 0, 0, 0, 0, 0, 28, 28, 28, 0, 0,
0, 0, 0, 0, 0, 0, 28, 28, 28, 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, 0, 0, 0, 0, 0, 0, 0
])
expected2 = lab.Image(11, 11, [
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, 10, 10, 10, 10, 10, 0, 0,
0, 0, 0, 0, 10, 10, 10, 10, 10, 0, 0, 0, 0, 0, 0, 10, 10, 10, 10,
10, 0, 0, 0, 0, 0, 0, 10, 10, 10, 10, 10, 0, 0, 0, 0, 0, 0, 10, 10,
10, 10, 10, 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
])
self.assertEqual(result1, expected1)
self.assertEqual(result2, expected2)
def test_centered_3(self):
im = lab.Image.load('test_images/centered_pixel.png')
expected = lab.Image(11, 11, [
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, 0, 0, 0,
0, 0, 0, 0, 28, 28, 28, 0, 0, 0, 0, 0, 0, 0, 0, 28, 28, 28, 0, 0,
0, 0, 0, 0, 0, 0, 28, 28, 28, 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, 0, 0, 0, 0, 0, 0, 0
])
result = im.blurred(3)
print(result.pixels)
self.assertEqual(result, expected)
def test_corr_2(self):
im = lab.Image(5, 5,
[1, 2, 3, 4, 5,
6, 7, 8, 9, 10,
11, 12, 13, 14, 15,
16, 17, 18, 19, 20,
21, 22, 23, 24, 25])
result = im.correlation([0, 0, 0, 0, 0,
0, 0, 0, 0, 0,
1, 0, 0, 0, 0,
0, 0, 0, 0, 0,
0, 0, 0, 0, 0])
expected = lab.Image(5, 5,
[1, 1, 1, 2, 3,
6, 6, 6, 7, 8,
11, 11, 11, 12, 13,
16, 16, 16, 17, 18,
21, 21, 21, 22, 23])
self.assertEqual(result, expected)
def test_correlate_3(self):
im = lab.Image.load('test_images/centered_pixel.png')
kernel = [[0, 0.2, 0], [0.2, 0.2, 0.2], [0, 0.2, 0]]
result = im.correlate(kernel)
expected = expected = lab.Image(11, 11, [
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, 0, 0, 0,
0, 0, 0, 0, 0, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51, 51, 51, 0, 0, 0,
0, 0, 0, 0, 0, 0, 51, 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, 0, 0, 0, 0, 0, 0, 0, 0
])
#images_differ(result, expected)
self.assertEqual(result, expected)
def test_edges_2(self):
inpfile = os.path.join(TEST_DIRECTORY, 'test_images', '%s.png' %'centered_pixel')
result = lab.Image.load(inpfile).edges()
expected = lab.Image(11, 11, [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, 0, 0, 0,
0, 0, 0, 0, 255, 255, 255, 0, 0, 0, 0,
0, 0, 0, 0, 255, 0, 255, 0, 0, 0, 0,
0, 0, 0, 0, 255, 255, 255, 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, 0, 0, 0, 0, 0, 0, 0])
self.assertEqual(result, expected)
def test_invert_1(self):
im = lab.Image.load('test_images/centered_pixel.png')
result = im.inverted()
expected = lab.Image(11, 11, [
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 0, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
255, 255, 255
])
self.assertEqual(result, expected)
def test_correlate(self):
identity = ((0, 0, 0),
(0, 1, 0),
(0, 0, 0))
translation = ((0, 0, 0, 0, 0),
(0, 0, 0, 0, 0),
(1, 0, 0, 0, 0),
(0, 0, 0, 0, 0),
(0, 0, 0, 0, 0))
average = ((0.0, 0.2, 0.0),
(0.2, 0.2, 0.2),
(0.0, 0.2, 0.0))
kernels = {"identity": identity, "translation": translation, "average": average}
img = lab.Image.load("test_images/centered_pixel.png")
img_copy = lab.Image(img.width, img.height, img.pixels)
for kernel_name in ("identity", "translation", "average"):
with self.subTest(k=kernel_name):
expfile = os.path.join(TEST_DIRECTORY, "test_results", f"{kernel_name}_pixel.png")
result = img.correlate(kernels[kernel_name])
expected = lab.Image.load(expfile)
self.assertEqual(img, img_copy, "Be careful not to modify theo original image!")
self.assertEqual(result, expected)
def test_inverted_2(self):
# REPLACE THIS from your test case from section 3.1
img = lab.Image(1,4, [3, 95, 141, 213])
result = img.inverted()
expected = lab.Image(1,4,[252,160,114,42])
self.assertTrue(result, expected)
def test_invert_2(self):
im = lab.Image(1, 4, [30, 81, 141, 220])
result = im.inverted()
expected = lab.Image(1, 4, [225, 174, 114, 35])
self.assertEqual(result, expected)
def test_blur_1(self):
im = lab.Image(6, 5, [
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,
])
result1 = im.blurred(3)
result2 = im.blurred(5)
expected = lab.Image(6, 5, [
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,
])
self.assertEqual(result1, expected)
self.assertEqual(result2, expected)
def test_invert_2(self):
# REPLACE THIS from your test case from section 3.1
im = lab.Image(4, 1, [20, 85, 144, 197])
result = im.inverted()
expected = lab.Image(4, 1, [235, 170, 111, 58])
self.assertEqual(result, expected)
def test_inverted_2(self):
im = lab.Image(4, 1, [18, 83, 151, 219])
result = im.inverted()
expected = lab.Image(4, 1, [237, 172, 104, 36])
self.assertEqual(result, expected)
def test_trivial_7(self):
im = lab.Image(6, 5, [0] * 30)
expected = lab.Image(6, 5, [0] * 30)
result = im.blurred(5)
self.assertEqual(result, expected)
def test_inverted_3(self):
im = lab.Image(2, 4, [255, 0, 1, 254, 255, 0, 1, 254])
result = im.inverted()
expected = lab.Image(2, 4, [0, 255, 254, 1, 0, 255, 254, 1])
self.assertEqual(result, expected)
def test_inverted_2(self):
# REPLACE THIS from your test case from section 3.1
im = lab.Image(1, 4, [18, 83, 151, 219])
result = im.inverted()
expected = lab.Image(1, 4, [237, 172, 104, 36])
self.assertEqual(result, expected)
def test_inverted_2(self):
im = lab.Image(4,1,[6, 71, 154, 212])
result = im.inverted()
expected = lab.Image(4,1,[249,184,101,43])
self.assertEqual(result, expected)
