def test_stump_identical_subsequence_A_B_join(): 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.stamp(T_A, m, T_B=T_B) right = stump(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=naive.PRECISION ) # ignore indices right = stump(pd.Series(T_A), m, pd.Series(T_B), ignore_trivial=False) naive.replace_inf(right) npt.assert_almost_equal( left[:, 0], right[:, 0], decimal=naive.PRECISION ) # ignore indices # Swap inputs left = naive.stamp(T_B, m, T_B=T_A) right = stump(T_B, m, T_A, ignore_trivial=False) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal( left[:, 0], right[:, 0], decimal=naive.PRECISION ) # ignore indices
def test_gpu_stump_identical_subsequence_A_B_join(): 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 ref_mp = naive.stamp(T_B, m, T_B=T_A) comp_mp = gpu_stump(T_B, m, T_A, ignore_trivial=False) 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 # comp_mp = gpu_stump(pd.Series(T_B), m, pd.Series(T_A), ignore_trivial=False) # naive.replace_inf(comp_mp) # npt.assert_almost_equal( # ref_mp[:, 0], comp_mp[:, 0], decimal=config.STUMPY_TEST_PRECISION # ) # ignore indices # Swap inputs ref_mp = naive.stamp(T_A, m, T_B=T_B) comp_mp = gpu_stump(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], decimal=config.STUMPY_TEST_PRECISION) # ignore indices
def test_stump_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 = naive.stamp(T_A, m, T_B=T_B) right = stump(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 right = stump(pd.Series(T_A), m, pd.Series(T_B), ignore_trivial=False) naive.replace_inf(right) npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices # Swap inputs left = naive.stamp(T_B, m, T_B=T_A) right = stump(T_B, m, T_A, ignore_trivial=False) naive.replace_inf(left) naive.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) naive.replace_inf(right) npt.assert_almost_equal(left[:, 0], right[:, 0]) # ignore indices
def test_stamp_A_B_join(T_A, T_B): m = 3 left = naive.stamp(T_A, m, T_B=T_B) right = stamp.stamp(T_A, T_B, m) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left[:, :2], right)
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 = naive.stamp(T_A, m, T_B=T_B) right = gpu_stump( T_A, m, T_B, ignore_trivial=False, device_id=device_ids, ) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right) right = gpu_stump( pd.Series(T_A), m, pd.Series(T_B), ignore_trivial=False, device_id=device_ids, ) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_scrump_plus_plus_A_B_join_full_swap(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) left = naive.stamp(T_B, m, T_B=T_A) left_P = left[:, 0] left_I = left[:, 1] left_left_I = left[:, 2] left_right_I = left[:, 3] approx = scrump(T_B, m, T_B=T_A, ignore_trivial=False, percentage=1.0, pre_scrump=True, s=zone) approx.update() right_P = approx.P_ right_I = approx.I_ right_left_I = approx.left_I_ right_right_I = approx.right_I_ naive.replace_inf(left_P) naive.replace_inf(right_P) npt.assert_almost_equal(left_P, right_P) npt.assert_almost_equal(left_I, right_I) npt.assert_almost_equal(left_left_I, right_left_I) npt.assert_almost_equal(left_right_I, right_right_I)
def test_stamp_A_B_join(T_A, T_B): m = 3 ref_mp = naive.stamp(T_A, m, T_B=T_B) comp_mp = stamp.stamp(T_A, T_B, m) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp[:, :2], comp_mp)
def test_stomp_A_B_join(T_A, T_B): m = 3 left = naive.stamp(T_A, m, T_B=T_B) right = stomp._stomp(T_A, m, T_B, ignore_trivial=False) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_scrump_plus_plus_A_B_join_full_swap(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) ref_mp = naive.stamp(T_B, m, T_B=T_A) ref_P = ref_mp[:, 0] ref_I = ref_mp[:, 1] ref_left_I = ref_mp[:, 2] ref_right_I = ref_mp[:, 3] approx = scrump( T_B, m, T_B=T_A, ignore_trivial=False, percentage=1.0, pre_scrump=True, s=zone ) approx.update() comp_P = approx.P_ comp_I = approx.I_ comp_left_I = approx.left_I_ comp_right_I = approx.right_I_ naive.replace_inf(ref_P) naive.replace_inf(comp_P) npt.assert_almost_equal(ref_P, comp_P) npt.assert_almost_equal(ref_I, comp_I) npt.assert_almost_equal(ref_left_I, comp_left_I) npt.assert_almost_equal(ref_right_I, comp_right_I)
def test_scrump_self_join_full_larger_window(T_A, T_B, m): if len(T_B) > m: zone = int(np.ceil(m / 4)) ref_mp = naive.stamp(T_B, m, exclusion_zone=zone) ref_P = ref_mp[:, 0] ref_I = ref_mp[:, 1] ref_left_I = ref_mp[:, 2] ref_right_I = ref_mp[:, 3] approx = scrump(T_B, m, ignore_trivial=True, percentage=1.0, pre_scrump=False) approx.update() comp_P = approx.P_ comp_I = approx.I_ comp_left_I = approx.left_I_ comp_right_I = approx.right_I_ naive.replace_inf(ref_P) naive.replace_inf(comp_P) npt.assert_almost_equal(ref_P, comp_P) npt.assert_almost_equal(ref_I, comp_I) npt.assert_almost_equal(ref_left_I, comp_left_I) npt.assert_almost_equal(ref_right_I, comp_right_I)
def test_scrump_self_join_full_larger_window(T_A, T_B): for m in [8, 16, 32]: if len(T_B) > m: zone = int(np.ceil(m / 4)) left = naive.stamp(T_B, m, exclusion_zone=zone) left_P = left[:, 0] left_I = left[:, 1] left_left_I = left[:, 2] left_right_I = left[:, 3] approx = scrump(T_B, m, ignore_trivial=True, percentage=1.0, pre_scrump=False) approx.update() right_P = approx.P_ right_I = approx.I_ right_left_I = approx.left_I_ right_right_I = approx.right_I_ naive.replace_inf(left_P) naive.replace_inf(right_P) npt.assert_almost_equal(left_P, right_P) npt.assert_almost_equal(left_I, right_I) npt.assert_almost_equal(left_left_I, right_left_I) npt.assert_almost_equal(left_right_I, right_right_I)
def test_gpu_stump_A_B_join(T_A, T_B): m = 3 ref_mp = naive.stamp(T_B, m, T_B=T_A) comp_mp = gpu_stump(T_B, m, T_A, ignore_trivial=False) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp)
def test_stump_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 = naive.stamp(T_A_sub, m, T_B=T_B_sub) right = stump(T_A_sub, m, T_B_sub, ignore_trivial=False) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right) right = stump( pd.Series(T_A_sub), m, pd.Series(T_B_sub), ignore_trivial=False ) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_stumpi_self_join(): m = 3 zone = int(np.ceil(m / 4)) seed = np.random.randint(100000) np.random.seed(seed) T = np.random.rand(30) stream = stumpi(T, m, egress=False) for i in range(34): t = np.random.rand() stream.update(t) comp_P = stream.P_ comp_I = stream.I_ comp_left_P = stream.left_P_ comp_left_I = stream.left_I_ ref_mp = naive.stamp(stream.T_, m, exclusion_zone=zone) ref_P = ref_mp[:, 0] ref_I = ref_mp[:, 1] ref_left_P = np.empty(ref_P.shape) ref_left_P[:] = np.inf ref_left_I = ref_mp[:, 2] for i, j in enumerate(ref_left_I): if j >= 0: D = core.mass(stream.T_[i:i + m], stream.T_[j:j + m]) ref_left_P[i] = D[0] naive.replace_inf(ref_P) naive.replace_inf(ref_left_P) naive.replace_inf(comp_P) naive.replace_inf(comp_left_P) npt.assert_almost_equal(ref_P, comp_P) npt.assert_almost_equal(ref_I, comp_I) npt.assert_almost_equal(ref_left_P, comp_left_P) npt.assert_almost_equal(ref_left_I, comp_left_I) np.random.seed(seed) T = np.random.rand(30) T = pd.Series(T) stream = stumpi(T, m, egress=False) for i in range(34): t = np.random.rand() stream.update(t) comp_P = stream.P_ comp_I = stream.I_ comp_left_P = stream.left_P_ comp_left_I = stream.left_I_ naive.replace_inf(comp_P) naive.replace_inf(comp_left_P) npt.assert_almost_equal(ref_P, comp_P) npt.assert_almost_equal(ref_I, comp_I) npt.assert_almost_equal(ref_left_P, comp_left_P) npt.assert_almost_equal(ref_left_I, comp_left_I)
def test_stumpi_self_join(): m = 3 zone = int(np.ceil(m / 4)) seed = np.random.randint(100000) np.random.seed(seed) T = np.random.rand(30) stream = stumpi(T, m) for i in range(34): t = np.random.rand() stream.update(t) right_P = stream.P_ right_I = stream.I_ right_left_P = stream.left_P_ right_left_I = stream.left_I_ left = naive.stamp(stream.T_, m, exclusion_zone=zone) left_P = left[:, 0] left_I = left[:, 1] left_left_P = np.empty(left_P.shape) left_left_P[:] = np.inf left_left_I = left[:, 2] for i, j in enumerate(left_left_I): if j >= 0: D = core.mass(stream.T_[i:i + m], stream.T_[j:j + m]) left_left_P[i] = D[0] naive.replace_inf(left_P) naive.replace_inf(left_left_P) naive.replace_inf(right_P) naive.replace_inf(right_left_P) npt.assert_almost_equal(left_P, right_P) npt.assert_almost_equal(left_I, right_I) npt.assert_almost_equal(left_left_P, right_left_P) npt.assert_almost_equal(left_left_I, right_left_I) np.random.seed(seed) T = np.random.rand(30) T = pd.Series(T) stream = stumpi(T, m) for i in range(34): t = np.random.rand() stream.update(t) right_P = stream.P_ right_I = stream.I_ right_left_P = stream.left_P_ right_left_I = stream.left_I_ naive.replace_inf(right_P) naive.replace_inf(right_left_P) npt.assert_almost_equal(left_P, right_P) npt.assert_almost_equal(left_I, right_I) npt.assert_almost_equal(left_left_P, right_left_P) npt.assert_almost_equal(left_left_I, right_left_I)
def test_stomp_self_join(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) left = naive.stamp(T_B, m, exclusion_zone=zone) right = stomp._stomp(T_B, m, ignore_trivial=True) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_stumped_A_B_join(T_A, T_B, dask_cluster): with Client(dask_cluster) as dask_client: m = 3 left = naive.stamp(T_A, m, T_B=T_B) right = stumped(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_stamp_self_join(T_A, T_B): m = 3 zone = int(np.ceil(m / 2)) ref_mp = naive.stamp(T_B, m, exclusion_zone=zone) comp_mp = stamp.stamp(T_B, T_B, m, ignore_trivial=True) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp[:, :2], comp_mp)
def test_stumped_self_join_df(T_A, T_B, dask_cluster): with Client(dask_cluster) as dask_client: m = 3 zone = int(np.ceil(m / 4)) left = naive.stamp(T_B, m, exclusion_zone=zone) right = stumped(dask_client, pd.Series(T_B), m, ignore_trivial=True) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_gpu_stump_self_join_larger_window(T_A, T_B, m): if len(T_B) > m: zone = int(np.ceil(m / 4)) ref_mp = naive.stamp(T_B, m, exclusion_zone=zone) comp_mp = gpu_stump(T_B, m, ignore_trivial=True) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp)
def test_gpu_stump_constant_subsequence_self_join(): T_A = np.concatenate((np.zeros(20, dtype=np.float64), np.ones(5, dtype=np.float64))) m = 3 zone = int(np.ceil(m / 4)) ref_mp = naive.stamp(T_A, m, exclusion_zone=zone) comp_mp = gpu_stump(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_gpu_stump_self_join_larger_window(T_A, T_B, m): if len(T_B) > m: zone = int(np.ceil(m / 4)) left = naive.stamp(T_B, m, exclusion_zone=zone) right = gpu_stump(T_B, m, ignore_trivial=True) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_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 left = naive.stamp(T_A, m, T_B=T_B) right = stumped(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_stump_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 = naive.stamp(T, m, exclusion_zone=zone) right = stump(T, m, ignore_trivial=True) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_stump_self_join_larger_window_df(T_A, T_B, dask_cluster): with Client(dask_cluster) as dask_client: for m in [8, 16, 32]: if len(T_B) > m: zone = int(np.ceil(m / 4)) left = naive.stamp(T_B, m, exclusion_zone=zone) right = stumped(dask_client, pd.Series(T_B), m, ignore_trivial=True) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right)
def test_gpu_stump_two_constant_subsequences_A_B_join(): T_A = np.array([0, 0, 0, 0, 0, 1], dtype=np.float64) T_B = np.concatenate((np.zeros(20, dtype=np.float64), np.ones(5, dtype=np.float64))) m = 3 ref_mp = naive.stamp(T_B, m, T_B=T_A) comp_mp = gpu_stump(T_B, m, T_A, 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 # comp_mp = gpu_stump(pd.Series(T_B), m, pd.Series(T_A), ignore_trivial=False) # naive.replace_inf(comp_mp) # npt.assert_almost_equal(ref_mp[:, 0], comp_mp[:, 0]) # ignore indices # Swap inputs ref_mp = naive.stamp(T_A, m, T_B=T_B) comp_mp = gpu_stump(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_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.stamp(T_A, m, exclusion_zone=zone) right = stumped(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_gpu_stump_A_B_join(T_A, T_B): m = 3 left = naive.stamp(T_A, m, T_B=T_B) right = gpu_stump(T_A, m, T_B, ignore_trivial=False) naive.replace_inf(left) naive.replace_inf(right) npt.assert_almost_equal(left, right) right = gpu_stump(pd.Series(T_A), m, pd.Series(T_B), ignore_trivial=False) naive.replace_inf(right) npt.assert_almost_equal(left, right)
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)) ref_mp = naive.stamp(T, m, exclusion_zone=zone) comp_mp = stamp.stamp(T, T, m, ignore_trivial=True) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp[:, :2], comp_mp)
def test_gpu_stump_self_join(T_A, T_B): m = 3 zone = int(np.ceil(m / 4)) ref_mp = naive.stamp(T_B, m, exclusion_zone=zone) comp_mp = gpu_stump(T_B, m, ignore_trivial=True) naive.replace_inf(ref_mp) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp) comp_mp = gpu_stump(pd.Series(T_B), m, ignore_trivial=True) naive.replace_inf(comp_mp) npt.assert_almost_equal(ref_mp, comp_mp)