def test_basic(self): img = np.random.randint(255, size=(200, 200)) pulses = lulu.decompose(img) img_ = lulu.reconstruct(pulses, img.shape) # Write assert this way so that we can see how many # pixels mismatch as a percent of the total nr of pixels assert_array_equal(img_, img) assert_equal(np.sum(img_ != img) / float(np.prod(img.shape)) * 100, 0, "Percentage mismatch =")
def test_basic(self): img = np.random.randint(255, size=(200, 200)) pulses = lulu.decompose(img) img_ = lulu.reconstruct(pulses, img.shape) # Write assert this way so that we can see how many # pixels mismatch as a percent of the total nr of pixels assert_array_equal(img_, img) assert_equal( np.sum(img_ != img) / float(np.prod(img.shape)) * 100, 0, "Percentage mismatch =")
def test_basic(): x = np.zeros((100, 100), dtype=int) x[50, 50] = 1 F, A = sf.dpt.features(dpt.decompose(x), x.shape) assert_equal(np.unravel_index(np.argmax(F), F.shape), [50, 50])