def test_aamped_self_join_df(T_A, T_B, dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
ref_mp = naive.aamp(T_B, m)
comp_mp = aamped(dask_client, pd.Series(T_B), m)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp, comp_mp)
def test_aamped_A_B_join(T_A, T_B, dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
ref_mp = naive.aamp(T_A, m, T_B=T_B)
comp_mp = aamped(dask_client, T_A, m, T_B, ignore_trivial=False)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp, comp_mp)
def test_aamped_self_join_df(T_A, T_B, dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
left = naive.aamp(T_B, m)
right = aamped(dask_client, pd.Series(T_B), m)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_aamped_A_B_join(T_A, T_B, dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
left = naive.aamp(T_A, m, T_B=T_B)
right = aamped(dask_client, T_A, m, T_B, ignore_trivial=False)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_stumped(T, m, dask_cluster):
if T.ndim > 1:
T = T.copy()
T = T[0]
with Client(dask_cluster) as dask_client:
ref = stumpy.aamped(dask_client, T, m)
comp = stumpy.stumped(dask_client, T, m, normalize=False)
npt.assert_almost_equal(ref, comp)
def test_aamped_self_join_larger_window(T_A, T_B, m, dask_cluster):
with Client(dask_cluster) as dask_client:
if len(T_B) > m:
left = naive.aamp(T_B, m)
right = aamped(dask_client, T_B, m)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_aamped_self_join(T_A, T_B, dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
for p in [1.0, 2.0, 3.0]:
ref_mp = naive.aamp(T_B, m, p=p)
comp_mp = aamped(dask_client, T_B, m, p=p)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp, comp_mp)
def test_aamped_self_join_larger_window(T_A, T_B, m, dask_cluster):
with Client(dask_cluster) as dask_client:
if len(T_B) > m:
ref_mp = naive.aamp(T_B, m)
comp_mp = aamped(dask_client, T_B, m)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp, comp_mp)
def test_aamped_one_constant_subsequence_self_join_df(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)))
m = 3
ref_mp = naive.aamp(T_A, m)
comp_mp = aamped(dask_client, pd.Series(T_A), m, ignore_trivial=True)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp[:, 0], comp_mp[:, 0]) # ignore indices
def test_aamped_one_constant_subsequence_self_join_df(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)))
m = 3
zone = int(np.ceil(m / 4))
left = naive.aamp(T_A, m)
right = aamped(dask_client, pd.Series(T_A), m, ignore_trivial=True)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_aamped_one_constant_subsequence_A_B_join(dask_cluster):
with Client(dask_cluster) as dask_client:
T_A = np.random.rand(20)
T_B = np.concatenate(
(np.zeros(20, dtype=np.float64), np.ones(5, dtype=np.float64)))
m = 3
ref_mp = naive.aamp(T_A, m, T_B=T_B)
comp_mp = aamped(dask_client, T_A, m, T_B, ignore_trivial=False)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp[:, 0], comp_mp[:, 0]) # ignore indices
def test_aamped_nan_zero_mean_self_join(dask_cluster):
with Client(dask_cluster) as dask_client:
T = np.array([-1, 0, 1, np.inf, 1, 0, -1])
m = 3
ref_mp = naive.aamp(T, m)
comp_mp = aamped(dask_client, T, m, ignore_trivial=True)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp, comp_mp)
def test_aamped_nan_zero_mean_self_join(dask_cluster):
with Client(dask_cluster) as dask_client:
T = np.array([-1, 0, 1, np.inf, 1, 0, -1])
m = 3
zone = int(np.ceil(m / 4))
left = naive.aamp(T, m)
right = aamped(dask_client, T, m, ignore_trivial=True)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_two_constant_subsequences_A_B_join(dask_cluster):
with Client(dask_cluster) as dask_client:
T_A = np.concatenate(
(np.zeros(10, dtype=np.float64), np.ones(10, dtype=np.float64)))
T_B = np.concatenate(
(np.zeros(20, dtype=np.float64), np.ones(5, dtype=np.float64)))
m = 3
left = naive.aamp(T_A, m, T_B=T_B)
right = aamped(dask_client, T_A, m, T_B, ignore_trivial=False)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_aamped_one_subsequence_nan_A_B_join(T_A, T_B, substitution_location_B,
dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
T_B_sub = T_B.copy()
T_B_sub[substitution_location_B] = np.nan
left = naive.aamp(T_A, m, T_B=T_B_sub)
right = aamped(dask_client, T_A, m, T_B_sub, ignore_trivial=False)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_aamped_one_subsequence_inf_A_B_join(T_A, T_B, substitution_location_B,
dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
T_B_sub = T_B.copy()
T_B_sub[substitution_location_B] = np.inf
ref_mp = naive.aamp(T_A, m, T_B=T_B_sub)
comp_mp = aamped(dask_client, T_A, m, T_B_sub, ignore_trivial=False)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp, comp_mp)
def test_aamped_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
m = 3
ref_mp = naive.aamp(T_A, m)
comp_mp = aamped(dask_client, T_A, m, ignore_trivial=True)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(
ref_mp[:, 0], comp_mp[:, 0], decimal=config.STUMPY_TEST_PRECISION
) # ignore indices
def test_aamped_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
m = 3
zone = int(np.ceil(m / 4))
left = naive.aamp(T_A, m)
right = aamped(dask_client, T_A, m, ignore_trivial=True)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(
left[:, 0], right[:, 0],
decimal=config.STUMPY_TEST_PRECISION) # ignore indices
def test_aamped_one_constant_subsequence_A_B_join(dask_cluster):
with Client(dask_cluster) as dask_client:
identical = np.random.rand(8)
T_A = np.random.rand(20)
T_B = np.random.rand(20)
T_A[1:1 + identical.shape[0]] = identical
T_B[11:11 + identical.shape[0]] = identical
m = 3
left = naive.aamp(T_A, m, T_B=T_B)
right = aamped(dask_client, T_A, m, T_B, ignore_trivial=False)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(
left[:, 0], right[:, 0],
decimal=config.STUMPY_TEST_PRECISION) # ignore indices
def test_aamped_one_subsequence_nan_self_join(T_A, T_B,
substitution_location_B,
dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
T_B_sub = T_B.copy()
T_B_sub[substitution_location_B] = np.nan
zone = int(np.ceil(m / 4))
left = naive.aamp(T_B_sub, m)
right = aamped(dask_client, T_B_sub, m, ignore_trivial=True)
naive.replace_inf(left)
naive.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_aamped_one_subsequence_inf_self_join(
T_A, T_B, substitution_location_B, dask_cluster
):
with Client(dask_cluster) as dask_client:
m = 3
T_B_sub = T_B.copy()
T_B_sub[substitution_location_B] = np.inf
zone = int(np.ceil(m / 4))
ref_mp = naive.aamp(T_B_sub, m)
comp_mp = aamped(dask_client, T_B_sub, m, ignore_trivial=True)
naive.replace_inf(ref_mp)
naive.replace_inf(comp_mp)
npt.assert_almost_equal(ref_mp, comp_mp)
def test_aamp_int_input(dask_cluster):
with pytest.raises(TypeError):
with Client(dask_cluster) as dask_client:
aamped(dask_client, np.arange(10), 5)
