def test_mstumped(T, m, dask_client):
dask_client.restart()
left_P, left_I = naive_mstump(T, m)
right_P, right_I = mstumped(dask_client, T, m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
dask_client.restart()
right_P, right_I = mstumped(dask_client, pd.DataFrame(T), m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped_df(T, m, dask_client):
left_P, left_I = naive_mstump(T, m)
df = pd.DataFrame(T.T)
right_P, right_I = mstumped(dask_client, df, m)
npt.assert_almost_equal(left_P.T, right_P)
npt.assert_almost_equal(left_I.T, right_I)
def test_mstumped(T, m, dask_client):
excl_zone = int(np.ceil(m / 4))
left_P, left_I = utils.naive_mstump(T, m, excl_zone)
right_P, right_I = mstumped(dask_client, T, m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped_df(T, m, dask_client):
excl_zone = int(np.ceil(m / 4))
left_P, left_I = utils.naive_mstump(T, m, excl_zone)
df = pd.DataFrame(T.T)
right_P, right_I = mstumped(dask_client, df, m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
excl_zone = int(np.ceil(m / 4))
left_P, left_I = naive.mstump(T, m, excl_zone)
right_P, right_I = mstumped(dask_client, T, m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped_discords(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
excl_zone = int(np.ceil(m / 4))
ref_P, ref_I = naive.mstump(T, m, excl_zone, discords=True)
comp_P, comp_I = mstumped(dask_client, T, m, discords=True)
npt.assert_almost_equal(ref_P, comp_P)
npt.assert_almost_equal(ref_I, comp_I)
def test_mstumped_discords(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
excl_zone = int(np.ceil(m / 4))
left_P, left_I = utils.naive_mstump(T, m, excl_zone, discords=True)
right_P, right_I = mstumped(dask_client, T, m, discords=True)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped_df(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
excl_zone = int(np.ceil(m / 4))
ref_P, ref_I = naive.mstump(T, m, excl_zone)
df = pd.DataFrame(T.T)
comp_P, comp_I = mstumped(dask_client, df, m)
npt.assert_almost_equal(ref_P, comp_P)
npt.assert_almost_equal(ref_I, comp_I)
def test_constant_subsequence_self_join(dask_client):
T_A = np.concatenate(
(np.zeros(20, dtype=np.float64), np.ones(5, dtype=np.float64)))
T = np.array([T_A, T_A, np.random.rand(T_A.shape[0])])
m = 3
left_P, left_I = naive_mstump(T, m)
right_P, right_I = mstumped(dask_client, T, m)
npt.assert_almost_equal(left_P.T, right_P) # ignore indices
def test_mstumped_include(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
for i in range(T.shape[0]):
include = np.asarray([i])
excl_zone = int(np.ceil(m / 4))
left_P, left_I = utils.naive_mstump(T, m, excl_zone, include)
right_P, right_I = mstumped(dask_client, T, m, include)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped_one_subsequence_nan_self_join_all_dimensions(
T, m, substitution_location, dask_client):
excl_zone = int(np.ceil(m / 4))
T_sub = T.copy()
T_sub[:, substitution_location] = np.nan
left_P, left_I = utils.naive_mstump(T_sub, m, excl_zone)
right_P, right_I = mstumped(dask_client, T_sub, m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_constant_subsequence_self_join(dask_cluster):
with Client(dask_cluster) as dask_client:
T_A = np.concatenate(
(np.zeros(20, dtype=np.float64), np.ones(5, dtype=np.float64)))
T = np.array([T_A, T_A, np.random.rand(T_A.shape[0])])
m = 3
excl_zone = int(np.ceil(m / 4))
left_P, left_I = utils.naive_mstump(T, m, excl_zone)
right_P, right_I = mstumped(dask_client, T, m)
npt.assert_almost_equal(left_P, right_P) # ignore indices
def test_mstumped_one_subsequence_inf_self_join_first_dimension(
T, m, substitution_location, dask_cluster):
with Client(dask_cluster) as dask_client:
excl_zone = int(np.ceil(m / 4))
T_sub = T.copy()
T_sub[0, substitution_location] = np.inf
left_P, left_I = utils.naive_mstump(T_sub, m, excl_zone)
right_P, right_I = mstumped(dask_client, T_sub, m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped_one_subsequence_nan_self_join_all_dimensions(
T, m, substitution_location, dask_cluster):
with Client(dask_cluster) as dask_client:
excl_zone = int(np.ceil(m / 4))
T_sub = T.copy()
T_sub[:, substitution_location] = np.nan
ref_P, ref_I, _ = naive.mstump(T_sub, m, excl_zone)
comp_P, comp_I = mstumped(dask_client, T_sub, m)
npt.assert_almost_equal(ref_P, comp_P)
npt.assert_almost_equal(ref_I, comp_I)
def test_mstumped_include(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
for width in range(T.shape[0]):
for i in range(T.shape[0] - width):
include = np.asarray(range(i, i + width + 1))
excl_zone = int(np.ceil(m / 4))
ref_P, ref_I = naive.mstump(T, m, excl_zone, include)
comp_P, comp_I = mstumped(dask_client, T, m, include)
npt.assert_almost_equal(ref_P, comp_P)
npt.assert_almost_equal(ref_I, comp_I)
def test_mstumped_identical_subsequence_self_join(dask_cluster):
with Client(dask_cluster) as dask_client:
identical = np.random.rand(8)
T_A = np.random.rand(20)
T_A[1:1 + identical.shape[0]] = identical
T_A[11:11 + identical.shape[0]] = identical
T = np.array([T_A, T_A, np.random.rand(T_A.shape[0])])
m = 3
excl_zone = int(np.ceil(m / 4))
left_P, left_I = naive.mstump(T, m, excl_zone)
right_P, right_I = mstumped(dask_client, T, m)
npt.assert_almost_equal(left_P, right_P,
decimal=naive.PRECISION) # ignore indices
def test_mstumped_include_discords(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
for width in range(T.shape[0]):
for i in range(T.shape[0] - width):
include = np.asarray(range(i, i + width + 1))
excl_zone = int(np.ceil(m / 4))
left_P, left_I = naive.mstump(T,
m,
excl_zone,
include,
discords=True)
right_P, right_I = mstumped(dask_client,
T,
m,
include,
discords=True)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped(T, m, dask_cluster):
with Client(dask_cluster) as dask_client:
ref = stumpy.maamped(dask_client, T, m)
comp = stumpy.mstumped(dask_client, T, m, normalize=False)
npt.assert_almost_equal(ref, comp)
def test_mstumped(T, m, dask_client):
left_P, left_I = naive_mstump(T, m)
right_P, right_I = mstumped(dask_client, T, m)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_mstumped_int_input(dask_cluster):
with pytest.raises(TypeError):
with Client(dask_cluster) as dask_client:
mstumped(dask_client, np.arange(20).reshape(2, 10), 5)