def testCovExecution(self):
data = np.array([[0, 2], [1, 1], [2, 0]]).T
x = tensor(data, chunk_size=1)
t = cov(x)
res = self.executor.execute_tensor(t, concat=True)[0]
expected = np.cov(data)
np.testing.assert_equal(res, expected)
data_x = [-2.1, -1, 4.3]
data_y = [3, 1.1, 0.12]
x = tensor(data_x, chunk_size=1)
y = tensor(data_y, chunk_size=1)
X = stack((x, y), axis=0)
t = cov(x, y)
r = tall(t == cov(X))
self.assertTrue(self.executor.execute_tensor(r)[0])
def test_cov_execution(setup):
data = np.array([[0, 2], [1, 1], [2, 0]]).T
x = tensor(data, chunk_size=1)
t = cov(x)
res = t.execute().fetch()
expected = np.cov(data)
np.testing.assert_equal(res, expected)
data_x = [-2.1, -1, 4.3]
data_y = [3, 1.1, 0.12]
x = tensor(data_x, chunk_size=1)
y = tensor(data_y, chunk_size=1)
X = stack((x, y), axis=0)
t = cov(x, y)
r = tall(t == cov(X))
assert r.execute().fetch()