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-rw-r--r--src/python/gudhi/subsampling.pyx18
1 files changed, 12 insertions, 6 deletions
diff --git a/src/python/gudhi/subsampling.pyx b/src/python/gudhi/subsampling.pyx
index c501d16b..f77c6f75 100644
--- a/src/python/gudhi/subsampling.pyx
+++ b/src/python/gudhi/subsampling.pyx
@@ -33,13 +33,15 @@ def choose_n_farthest_points(points=None, off_file='', nb_points=0, starting_poi
The iteration starts with the landmark `starting point`.
:param points: The input point set.
- :type points: vector[vector[double]].
+ :type points: Iterable[Iterable[float]].
Or
:param off_file: An OFF file style name.
:type off_file: string
+ And in both cases
+
:param nb_points: Number of points of the subsample.
:type nb_points: unsigned.
:param starting_point: The iteration starts with the landmark `starting \
@@ -47,7 +49,7 @@ def choose_n_farthest_points(points=None, off_file='', nb_points=0, starting_poi
index is chosen randomly.
:type starting_point: unsigned.
:returns: The subsample point set.
- :rtype: vector[vector[double]]
+ :rtype: List[List[float]].
"""
if off_file:
if os.path.isfile(off_file):
@@ -74,17 +76,19 @@ def pick_n_random_points(points=None, off_file='', nb_points=0):
"""Subsample a point set by picking random vertices.
:param points: The input point set.
- :type points: vector[vector[double]].
+ :type points: Iterable[Iterable[float]].
Or
:param off_file: An OFF file style name.
:type off_file: string
+ And in both cases
+
:param nb_points: Number of points of the subsample.
:type nb_points: unsigned.
:returns: The subsample point set.
- :rtype: vector[vector[double]]
+ :rtype: List[List[float]]
"""
if off_file:
if os.path.isfile(off_file):
@@ -103,18 +107,20 @@ def sparsify_point_set(points=None, off_file='', min_squared_dist=0.0):
between any two points is greater than or equal to min_squared_dist.
:param points: The input point set.
- :type points: vector[vector[double]].
+ :type points: Iterable[Iterable[float]].
Or
:param off_file: An OFF file style name.
:type off_file: string
+ And in both cases
+
:param min_squared_dist: Minimum squared distance separating the output \
points.
:type min_squared_dist: float.
:returns: The subsample point set.
- :rtype: vector[vector[double]]
+ :rtype: List[List[float]]
"""
if off_file:
if os.path.isfile(off_file):