diff options
Diffstat (limited to 'src/python')
-rw-r--r-- | src/python/doc/wasserstein_distance_user.rst | 2 | ||||
-rw-r--r-- | src/python/gudhi/wasserstein.py | 2 | ||||
-rwxr-xr-x | src/python/test/test_wasserstein_distance.py | 10 |
3 files changed, 7 insertions, 7 deletions
diff --git a/src/python/doc/wasserstein_distance_user.rst b/src/python/doc/wasserstein_distance_user.rst index d3daa318..9519caa6 100644 --- a/src/python/doc/wasserstein_distance_user.rst +++ b/src/python/doc/wasserstein_distance_user.rst @@ -69,5 +69,5 @@ The output is: .. testoutput:: - Wasserstein distance value = 2.15, optimal matching: [(0, 0), (1, 2), (2, -1), (-1, 1)] + Wasserstein distance value = 2.15, optimal matching: [[0, 0], [1, 2], [2, -1], [-1, 1]] diff --git a/src/python/gudhi/wasserstein.py b/src/python/gudhi/wasserstein.py index 9efa946e..9e4dc7d5 100644 --- a/src/python/gudhi/wasserstein.py +++ b/src/python/gudhi/wasserstein.py @@ -88,7 +88,7 @@ def wasserstein_distance(X, Y, matching=False, order=2., internal_p=2.): if not matching: return 0. else: - return 0., [] + return 0., np.array([]) else: if not matching: return _perstot(Y, order, internal_p) diff --git a/src/python/test/test_wasserstein_distance.py b/src/python/test/test_wasserstein_distance.py index d0f0323c..ca9a4a61 100755 --- a/src/python/test/test_wasserstein_distance.py +++ b/src/python/test/test_wasserstein_distance.py @@ -61,15 +61,15 @@ def _basic_wasserstein(wasserstein_distance, delta, test_infinity=True, test_mat if test_matching: match = wasserstein_distance(emptydiag, emptydiag, matching=True, internal_p=1., order=2)[1] - assert match == [] + assert np.array_equal(match, np.array([])) match = wasserstein_distance(emptydiag, emptydiag, matching=True, internal_p=np.inf, order=2.24)[1] - assert match == [] + assert np.array_equal(match, np.array([])) match = wasserstein_distance(emptydiag, diag2, matching=True, internal_p=np.inf, order=2.)[1] - assert match == [(-1, 0), (-1, 1)] + assert np.array_equal(match , np.array([[-1, 0], [-1, 1]])) match = wasserstein_distance(diag2, emptydiag, matching=True, internal_p=np.inf, order=2.24)[1] - assert match == [(0, -1), (1, -1)] + assert np.array_equal(match , np.array([[0, -1], [1, -1]])) match = wasserstein_distance(diag1, diag2, matching=True, internal_p=2., order=2.)[1] - assert match == [(0, 0), (1, 1), (2, -1)] + assert np.array_equal(match, np.array_equal([[0, 0], [1, 1], [2, -1]])) |