def test_two_constant_subsequences_A_B_join():
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 = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B, m)], dtype=object
)
right = stump(T_A, m, T_B, ignore_trivial=False)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
right = stump(pd.Series(T_A), m, pd.Series(T_B), ignore_trivial=False)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
# Swap inputs
left = np.array(
[utils.naive_mass(Q, T_B, m) for Q in core.rolling_window(T_A, m)], dtype=object
)
right = stump(T_B, m, T_A, ignore_trivial=False)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
right = stump(pd.Series(T_B), m, pd.Series(T_A), ignore_trivial=False)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_stamp_nan_inf_A_B_join(T_A, T_B, substitute_A, substitute_B,
substitution_locations):
m = 3
T_A_sub = T_A.copy()
T_B_sub = T_B.copy()
for substitution_location_B in substitution_locations:
for substitution_location_A in substitution_locations:
T_A_sub[:] = T_A[:]
T_B_sub[:] = T_B[:]
T_A_sub[substitution_location_A] = substitute_A
T_B_sub[substitution_location_B] = substitute_B
left = np.array(
[
utils.naive_mass(Q, T_A_sub, m)
for Q in core.rolling_window(T_B_sub, m)
],
dtype=object,
)
right = stamp.stamp(T_A_sub, T_B_sub, m)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, :2], right)
def test_naive_mstump():
T = np.random.uniform(-1000, 1000, [1, 1000]).astype(np.float64)
m = 20
excl_zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q,
T[0],
m,
trivial_idx=i,
ignore_trivial=True,
excl_zone=excl_zone)
for i, Q in enumerate(core.rolling_window(T[0], m))
],
dtype=object,
)
left_P = left[np.newaxis, :, 0].T
left_I = left[np.newaxis, :, 1].T
right_P, right_I = utils.naive_mstump(T, m, excl_zone)
npt.assert_almost_equal(left_P, right_P)
npt.assert_almost_equal(left_I, right_I)
def test_parallel_gpu_stump_A_B_join(T_A, T_B):
device_ids = [device.id for device in cuda.list_devices()]
if len(T_B) > 10:
m = 3
left = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B, m)],
dtype=object,
)
right = gpu_stump(
T_A,
m,
T_B,
ignore_trivial=False,
threads_per_block=THREADS_PER_BLOCK,
device_id=device_ids,
)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
right = gpu_stump(
pd.Series(T_A),
m,
pd.Series(T_B),
ignore_trivial=False,
threads_per_block=THREADS_PER_BLOCK,
device_id=device_ids,
)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_scrump_nan_inf_self_join(T, substitute, substitution_locations):
m = 3
T_sub = T.copy()
for substitution_location in substitution_locations:
T_sub[:] = T[:]
T_sub[substitution_location] = substitute
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T_sub, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_sub, m))
],
dtype=object,
)
for right in scrump(T_sub, m):
continue
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
for right in scrump(pd.Series(T_sub), m):
continue
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
def test_gpu_stump_self_join_larger_window(T_A, T_B):
for m in [8, 16, 32]:
if len(T_B) > m:
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T_B, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_B, m))
],
dtype=object,
)
right = gpu_stump(T_B,
m,
ignore_trivial=True,
threads_per_block=THREADS_PER_BLOCK)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
right = gpu_stump(
pd.Series(T_B),
m,
ignore_trivial=True,
threads_per_block=THREADS_PER_BLOCK,
)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_stump_nan_inf_self_join(T_A, T_B, substitute_B, substitution_locations):
m = 3
T_B_sub = T_B.copy()
for substitution_location_B in substitution_locations:
T_B_sub[:] = T_B[:]
T_B_sub[substitution_location_B] = substitute_B
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T_B_sub, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_B_sub, m))
],
dtype=object,
)
right = stump(T_B_sub, m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
right = stump(pd.Series(T_B_sub), m, ignore_trivial=True)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_parallel_gpu_stump_self_join(T_A, T_B):
device_ids = [device.id for device in cuda.list_devices()]
if len(T_B) > 10:
m = 3
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T_B, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_B, m))
],
dtype=object,
)
right = gpu_stump(
T_B,
m,
ignore_trivial=True,
threads_per_block=THREADS_PER_BLOCK,
device_id=device_ids,
)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
right = gpu_stump(
pd.Series(T_B),
m,
ignore_trivial=True,
threads_per_block=THREADS_PER_BLOCK,
device_id=device_ids,
)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_stamp_A_B_join(T_A, T_B):
m = 3
left = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B, m)],
dtype=object)
right = stamp.stamp(T_A, T_B, m)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, :2], right)
def test_stumped_A_B_join(T_A, T_B, dask_client):
m = 3
left = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B, m)],
dtype=object)
right = stumped(dask_client, T_A, m, T_B, ignore_trivial=False)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_one_constant_subsequence_A_B_join(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
left = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B, m)],
dtype=object)
right = stumped(dask_client, T_A, m, T_B, ignore_trivial=False)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_stumped_A_B_join_df(T_A, T_B, dask_cluster):
with Client(dask_cluster) as dask_client:
m = 3
left = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B, m)],
dtype=object,
)
right = stumped(
dask_client, pd.Series(T_A), m, pd.Series(T_B), ignore_trivial=False
)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_prescrump(T):
m = 3
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
μ, σ = core.compute_mean_std(T, m)
# Note that the below code only works for `s=1`
right = prescrump(T, m, μ, σ, s=1)
def test_stamp_self_join(T_A, T_B):
m = 3
zone = int(np.ceil(m / 2))
left = np.array(
[
utils.naive_mass(Q, T_B, m, i, zone, ignore_trivial=True)
for i, Q in enumerate(core.rolling_window(T_B, m))
],
dtype=object,
)
right = stamp.stamp(T_B, T_B, m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, :2], right)
def test_stumped_self_join_df(T_A, T_B, dask_client):
m = 3
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T_B, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_B, m))
],
dtype=object,
)
right = stumped(dask_client, pd.Series(T_B), m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_stumped_one_subsequence_inf_A_B_join(
T_A, T_B, substitution_location_B, dask_client
):
m = 3
T_B_sub = T_B.copy()
T_B_sub[substitution_location_B] = np.inf
left = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B_sub, m)],
dtype=object,
)
right = stumped(dask_client, T_A, m, T_B_sub, ignore_trivial=False)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_stump_self_join_larger_window(T_A, T_B, dask_client):
for m in [8, 16, 32]:
if len(T_B) > m:
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T_B, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_B, m))
],
dtype=object,
)
right = stumped(dask_client, T_B, m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_one_constant_subsequence_self_join_df(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 = np.array(
[
utils.naive_mass(Q, T_A, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_A, m))
],
dtype=object,
)
right = stumped(dask_client, pd.Series(T_A), m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_stamp_nan_zero_mean_self_join():
T = np.array([-1, 0, 1, np.inf, 1, 0, -1])
m = 3
zone = int(np.ceil(m / 2))
left = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
right = stamp.stamp(T, T, m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, :2], right)
def test_scrump_nan_zero_mean_self_join():
T = np.array([-1, 0, 1, np.inf, 1, 0, -1])
m = 3
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
for right in scrump(T, m):
continue
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
def test_stumped_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 = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
right = stumped(dask_client, T, m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_scrimp_self_join(T):
m = 3
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
right = scrimp(T, m, percentage=1.0)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
right = scrimp(pd.Series(T), m, percentage=1.0)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
def test_scrimp_self_join_larger_window(T):
for m in [8, 16, 32]:
if len(T) > m:
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
right = scrimp(T, m)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
right = scrimp(pd.Series(T), m)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
def test_constant_subsequence_A_B_join_df_swap(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 = np.array(
[utils.naive_mass(Q, T_B, m) for Q in core.rolling_window(T_A, m)],
dtype=object,
)
right = stumped(dask_client,
pd.Series(T_B),
m,
pd.Series(T_A),
ignore_trivial=False)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_stumped_one_subsequence_nan_self_join(
T_A, T_B, substitution_location_B, 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 = np.array(
[
utils.naive_mass(Q, T_B_sub, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T_B_sub, m))
],
dtype=object,
)
right = stumped(dask_client, T_B_sub, m, ignore_trivial=True)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
def test_scrump_plus_plus_self_join(T):
m = 3
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
for right in scrump(T, m, pre_scrump=True):
continue
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
for right in scrump(pd.Series(T), m, pre_scrump=True):
continue
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0])
def test_constant_subsequence_self_join():
T = np.concatenate((np.zeros(20,
dtype=np.float64), np.ones(5,
dtype=np.float64)))
m = 3
zone = int(np.ceil(m / 4))
left = np.array(
[
utils.naive_mass(Q, T, m, i, zone, True)
for i, Q in enumerate(core.rolling_window(T, m))
],
dtype=object,
)
right = scrimp(T, m, percentage=1.0)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
right = scrimp(pd.Series(T), m, percentage=1.0)
utils.replace_inf(right)
npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_gpu_stump_A_B_join(T_A, T_B):
m = 3
left = np.array(
[utils.naive_mass(Q, T_A, m) for Q in core.rolling_window(T_B, m)],
dtype=object)
right = gpu_stump(T_A,
m,
T_B,
ignore_trivial=False,
threads_per_block=THREADS_PER_BLOCK)
utils.replace_inf(left)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
right = gpu_stump(
pd.Series(T_A),
m,
pd.Series(T_B),
ignore_trivial=False,
threads_per_block=THREADS_PER_BLOCK,
)
utils.replace_inf(right)
npt.assert_almost_equal(left, right)
