Merge branch 'dfsg/latest' into debian/sid

2 files changed, 14 insertions, 13 deletions

diff --git a/src/python/gudhi/representations/vector_methods.py b/src/python/gudhi/representations/vector_methods.py
index cdcb1fde..84bc99a2 100644
--- a/src/python/gudhi/representations/vector_methods.py
+++ b/src/python/gudhi/representations/vector_methods.py
@@ -605,18 +605,19 @@ class Atol(BaseEstimator, TransformerMixin):
     >>> b = np.array([[4, 2, 0], [4, 4, 0], [4, 0, 2]])
     >>> c = np.array([[3, 2, -1], [1, 2, -1]])
     >>> atol_vectoriser = Atol(quantiser=KMeans(n_clusters=2, random_state=202006))
-    >>> atol_vectoriser.fit(X=[a, b, c]).centers
-    array([[ 2.        ,  0.66666667,  3.33333333],
-           [ 2.6       ,  2.8       , -0.4       ]])
+    >>> atol_vectoriser.fit(X=[a, b, c]).centers # doctest: +SKIP
+    >>> # array([[ 2.        ,  0.66666667,  3.33333333],
+    >>> #        [ 2.6       ,  2.8       , -0.4       ]])
     >>> atol_vectoriser(a)
-    array([1.18168665, 0.42375966])
+    >>> # array([1.18168665, 0.42375966]) # doctest: +SKIP
     >>> atol_vectoriser(c)
-    array([0.02062512, 1.25157463])
-    >>> atol_vectoriser.transform(X=[a, b, c])
-    array([[1.18168665, 0.42375966],
-           [0.29861028, 1.06330156],
-           [0.02062512, 1.25157463]])
+    >>> # array([0.02062512, 1.25157463]) # doctest: +SKIP
+    >>> atol_vectoriser.transform(X=[a, b, c]) # doctest: +SKIP
+    >>> # array([[1.18168665, 0.42375966],
+    >>> #        [0.29861028, 1.06330156],
+    >>> #        [0.02062512, 1.25157463]])
     """
+    # Note the example above must be up to date with the one in tests called test_atol_doc
     def __init__(self, quantiser, weighting_method="cloud", contrast="gaussian"):
         """
         Constructor for the Atol measure vectorisation class.
diff --git a/src/python/gudhi/rips_complex.pyx b/src/python/gudhi/rips_complex.pyx
index 72e82c79..c3470292 100644
--- a/src/python/gudhi/rips_complex.pyx
+++ b/src/python/gudhi/rips_complex.pyx
@@ -49,13 +49,13 @@ cdef class RipsComplex:
         :type max_edge_length: float
 
         :param points: A list of points in d-Dimension.
-        :type points: list of list of double
+        :type points: list of list of float
 
         Or
 
         :param distance_matrix: A distance matrix (full square or lower
             triangular).
-        :type points: list of list of double
+        :type points: list of list of float
 
         And in both cases
 
@@ -89,10 +89,10 @@ cdef class RipsComplex:
 
     def create_simplex_tree(self, max_dimension=1):
         """
-        :param max_dimension: graph expansion for rips until this given maximal
+        :param max_dimension: graph expansion for Rips until this given maximal
             dimension.
         :type max_dimension: int
-        :returns: A simplex tree created from the Delaunay Triangulation.
+        :returns: A simplex tree encoding the Vietoris–Rips filtration.
         :rtype: SimplexTree
         """
         stree = SimplexTree()