def test_select_n_reflectances_permutes(self):
image_shape = self.image.shape
new_first_layer = np.random.random_sample(image_shape[0:-1])
self.image[:, :, 0] = new_first_layer
shuffled_image = select_n_reflectances(self.image,
image_shape[0] * image_shape[1])
# restore_shape
shuffled_image = np.reshape(shuffled_image, image_shape)
self.assertFalse(np.allclose(shuffled_image[:, :, 0], new_first_layer),
"image has been shuffled")
def test_select_n_reflectances_permutes(self):
image_shape = self.image.shape
new_first_layer = np.random.random_sample(image_shape[0:-1])
self.image[:, :, 0] = new_first_layer
shuffled_image = select_n_reflectances(self.image,
image_shape[0] * image_shape[1])
# restore_shape
shuffled_image = np.reshape(shuffled_image, image_shape)
self.assertFalse(np.allclose(shuffled_image[:, :, 0],
new_first_layer),
"image has been shuffled")
def test_select_n_reflectances_selects(self):
n = 10
new_image = select_n_reflectances(self.image, n)
self.assertEqual(new_image.shape, (n, self.image.shape[-1]),
"correct shape after selection")
def test_select_n_reflectances_selects(self):
n = 10
new_image = select_n_reflectances(self.image, n)
self.assertEqual(new_image.shape, (n, self.image.shape[-1]),
"correct shape after selection")
