diff options
Diffstat (limited to 'src/python/test')
| -rwxr-xr-x | src/python/test/test_dtm.py | 3 | ||||
| -rwxr-xr-x | src/python/test/test_knn.py | 8 |
2 files changed, 11 insertions, 0 deletions
diff --git a/src/python/test/test_dtm.py b/src/python/test/test_dtm.py index 37934fdb..bc0d3698 100755 --- a/src/python/test/test_dtm.py +++ b/src/python/test/test_dtm.py @@ -33,6 +33,9 @@ def test_dtm_compare_euclidean(): dtm = DistanceToMeasure(k, metric="precomputed") r4 = dtm.fit_transform(d) assert r4 == pytest.approx(r0) + dtm = DistanceToMeasure(k, metric="precomputed", n_jobs=2) + r4b = dtm.fit_transform(d) + assert r4b == pytest.approx(r0) dtm = DistanceToMeasure(k, implementation="keops") r5 = dtm.fit_transform(pts) assert r5 == pytest.approx(r0) diff --git a/src/python/test/test_knn.py b/src/python/test/test_knn.py index 6aac2006..6269df54 100755 --- a/src/python/test/test_knn.py +++ b/src/python/test/test_knn.py @@ -52,6 +52,14 @@ def test_knn_explicit(): r = knn.fit_transform(dist) assert np.array_equal(r[0], [[0, 1], [1, 0], [2, 0]]) assert np.array_equal(r[1], [[0, 3], [0, 1], [0, 1]]) + # Second time in parallel + knn = KNearestNeighbors(2, metric="precomputed", return_index=True, return_distance=False, n_jobs=2) + r = knn.fit_transform(dist) + assert np.array_equal(r, [[0, 1], [1, 0], [2, 0]]) + knn = KNearestNeighbors(2, metric="precomputed", return_index=True, return_distance=True, n_jobs=2) + r = knn.fit_transform(dist) + assert np.array_equal(r[0], [[0, 1], [1, 0], [2, 0]]) + assert np.array_equal(r[1], [[0, 3], [0, 1], [0, 1]]) def test_knn_compare(): |