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authortlacombe <lacombe1993@gmail.com>2020-03-10 18:55:19 +0100
committertlacombe <lacombe1993@gmail.com>2020-03-10 18:56:43 +0100
commitc9d6e27495c8927d736d593afb0450360b46ccc9 (patch)
treec0d671a923d29eb128e111029135a5349a8e474a /src/python/gudhi/wasserstein.py
parent753290475ab6e95c2de1baad97ee6f755a0ce19a (diff)
fix indentation in wasserstein
Diffstat (limited to 'src/python/gudhi/wasserstein.py')
-rw-r--r--src/python/gudhi/wasserstein.py8
1 files changed, 4 insertions, 4 deletions
diff --git a/src/python/gudhi/wasserstein.py b/src/python/gudhi/wasserstein.py
index 83a682df..3dd993f9 100644
--- a/src/python/gudhi/wasserstein.py
+++ b/src/python/gudhi/wasserstein.py
@@ -70,13 +70,13 @@ def wasserstein_distance(X, Y, matching=False, order=2., internal_p=2.):
(i.e. with infinite coordinate).
:param Y: (m x 2) numpy.array encoding the second diagram.
:param matching: if True, computes and returns the optimal matching between X and Y, encoded as
- a (n x 2) np.array [...[i,j]...], meaning the i-th point in X is matched to
- the j-th point in Y, with the convention (-1) represents the diagonal.
+ a (n x 2) np.array [...[i,j]...], meaning the i-th point in X is matched to
+ the j-th point in Y, with the convention (-1) represents the diagonal.
:param order: exponent for Wasserstein; Default value is 2.
:param internal_p: Ground metric on the (upper-half) plane (i.e. norm L^p in R^2);
- Default value is 2 (Euclidean norm).
+ Default value is 2 (Euclidean norm).
:returns: the Wasserstein distance of order q (1 <= q < infinity) between persistence diagrams with
- respect to the internal_p-norm as ground metric.
+ respect to the internal_p-norm as ground metric.
If matching is set to True, also returns the optimal matching between X and Y.
'''
n = len(X)