def test_multi_mass(T, m):
trivial_idx = 2
Q = T[:, trivial_idx : trivial_idx + m]
ref = naive.multi_mass(Q, T, m)
M_T, Σ_T = core.compute_mean_std(T, m)
comp = _multi_mass(Q, T, m, M_T, Σ_T, M_T[:, trivial_idx], Σ_T[:, trivial_idx])
npt.assert_almost_equal(ref, comp, decimal=config.STUMPY_TEST_PRECISION)
def test_multi_mass(T, m):
trivial_idx = 2
Q = T[:, trivial_idx:trivial_idx + m]
left = naive.multi_mass(Q, T, m)
M_T, Σ_T = core.compute_mean_std(T, m)
right = _multi_mass(Q, T, m, M_T, Σ_T, M_T[:, trivial_idx],
Σ_T[:, trivial_idx])
npt.assert_almost_equal(left, right, decimal=naive.PRECISION)
def test_multi_mass_seeded():
np.random.seed(5)
T = np.random.uniform(-1000, 1000, [3, 10]).astype(np.float64)
m = 5
trivial_idx = 2
Q = T[:, trivial_idx : trivial_idx + m]
ref = naive.multi_mass(Q, T, m)
M_T, Σ_T = core.compute_mean_std(T, m)
comp = _multi_mass(Q, T, m, M_T, Σ_T, M_T[:, trivial_idx], Σ_T[:, trivial_idx])
npt.assert_almost_equal(ref, comp, decimal=config.STUMPY_TEST_PRECISION)
def test_multi_mass_seeded():
np.random.seed(5)
T = np.random.uniform(-1000, 1000, [3, 10]).astype(np.float64)
m = 5
trivial_idx = 2
Q = T[:, trivial_idx:trivial_idx + m]
left = naive.multi_mass(Q, T, m)
M_T, Σ_T = core.compute_mean_std(T, m)
right = _multi_mass(Q, T, m, M_T, Σ_T, M_T[:, trivial_idx],
Σ_T[:, trivial_idx])
npt.assert_almost_equal(left, right, decimal=naive.PRECISION)
