reference and comments added

4 files changed, 11 insertions, 7 deletions

diff --git a/src/python/CMakeLists.txt b/src/python/CMakeLists.txt
index adf4923b..0aa55467 100644
--- a/src/python/CMakeLists.txt
+++ b/src/python/CMakeLists.txt
@@ -487,7 +487,9 @@ if(PYTHONINTERP_FOUND)
     endif()
 
     # Weighted Rips
-    add_gudhi_py_test(test_weighted_rips)
+    if(SCIPY_FOUND)
+      add_gudhi_py_test(test_weighted_rips)
+    endif()
 
     # Set missing or not modules
     set(GUDHI_MODULES ${GUDHI_MODULES} "python" CACHE INTERNAL "GUDHI_MODULES")
diff --git a/src/python/doc/rips_complex_ref.rst b/src/python/doc/rips_complex_ref.rst
index 8fc7e1b0..3c25564a 100644
--- a/src/python/doc/rips_complex_ref.rst
+++ b/src/python/doc/rips_complex_ref.rst
@@ -25,7 +25,7 @@ Weighted Rips complex reference manual
    .. automethod:: gudhi.WeightedRipsComplex.__init__
 
 Basic examples
--------------
+--------------
 
 The following example computes the weighted Rips filtration associated with a distance matrix and weights on vertices.
 
@@ -60,6 +60,8 @@ Combining with DistanceToMeasure, one can compute the DTM-filtration of a point
     st = w_rips.create_simplex_tree(max_dimension=2)
     print(st.persistence())
 
+The output is:
+
 .. testoutput::
 
     [(0, (3.1622776601683795, inf)), (0, (3.1622776601683795, 5.39834563766817)), (0, (3.1622776601683795, 5.39834563766817))]
diff --git a/src/python/gudhi/weighted_rips_complex.py b/src/python/gudhi/weighted_rips_complex.py
index 7401c428..bccac1ff 100644
--- a/src/python/gudhi/weighted_rips_complex.py
+++ b/src/python/gudhi/weighted_rips_complex.py
@@ -12,9 +12,9 @@ from gudhi import SimplexTree
 class WeightedRipsComplex:
     """
     Class to generate a weighted Rips complex from a distance matrix and weights on vertices, 
-    in the way described in the paper 'DTM-based filtrations' https://arxiv.org/abs/1811.04757.
-    Remark that the filtration value of a vertex is twice of its weight for the consistency with 
-    RipsComplex, which is different from the definition in the paper.
+    in the way described in :cite:`dtmfiltrations`.
+    Remark that all the filtration values of vertices are twice of the given weights for the consistency 
+    with RipsComplex, which is different from the definition in the paper.
     """
     def __init__(self, 
                 distance_matrix, 
diff --git a/src/python/test/test_weighted_rips.py b/src/python/test/test_weighted_rips.py
index 59ec022a..7ef48333 100644
--- a/src/python/test/test_weighted_rips.py
+++ b/src/python/test/test_weighted_rips.py
@@ -35,8 +35,8 @@ def test_compatibility_with_rips():
         ([0, 2], 1.0),
         ([1, 3], 1.0),
         ([2, 3], 1.0),
-        ([1, 2], 1.4142135623730951),
-        ([0, 3], 1.4142135623730951),
+        ([1, 2], sqrt(2)),
+        ([0, 3], sqrt(2)),
     ]
 
 def test_compatibility_with_filtered_rips():