def test_matrix_to_numpy_1(self):
A = Matrix(Shape(10, 10, 10))
A.fill(42.0)
B = A.to_numpy()
self.assertEquals((10, 10, 10), B.shape)
self.assertTrue(np.all(B[:, :, :] == 42.0))
def test_fill(self):
m1 = Matrix(Shape(10, 10, 10))
m1.fill(1.0)
self.assertEqual(m1.get(4, 4, 4), 1.0)
self.assertEqual(m1.uniform_value, 1.0)
self.assertTrue(m1.isUniform())
m1.set(4, 4, 4, 2.0)
self.assertEqual(m1.get(4, 4, 4), 2.0)
self.assertFalse(m1.isUniform())
def test_matrix_to_numpy_2(self):
def flub(x, y, z):
return x * y * z + 42 + (5 * x) * (2 - y) + 8 * z
A = Matrix(Shape(10, 20, 30))
for x, y, z in itertools.product(range(10), range(20), range(30)):
A.set(x, y, z, flub(x, y, z))
B = A.to_numpy()
self.assertEquals(A.shape, B.shape)
for x, y, z in itertools.product(range(10), range(20), range(30)):
self.assertEquals(flub(x, y, z), B[x, y, z])