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diff --git a/src/python/test/test_weighted_rips.py b/src/python/test/test_weighted_rips.py
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+++ b/src/python/test/test_weighted_rips.py
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+""" This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+    See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+    Author(s):       Yuichi Ike and Masatoshi Takenouchi
+
+    Copyright (C) 2020 Inria
+
+    Modification(s):
+      - YYYY/MM Author: Description of the modification
+"""
+
+from gudhi.weighted_rips_complex import WeightedRipsComplex
+from gudhi.point_cloud.dtm import DistanceToMeasure
+import numpy as np
+from math import sqrt
+from scipy.spatial.distance import cdist
+import pytest
+
+def test_non_dtm_rips_complex():
+    dist = [[], [1]]
+    weights = [1, 100]
+    w_rips = WeightedRipsComplex(distance_matrix=dist, weights=weights)
+    st = w_rips.create_simplex_tree(max_dimension=2)
+    assert st.filtration([0,1]) == pytest.approx(200.0)
+
+def test_compatibility_with_rips():
+    distance_matrix = [[0], [1, 0], [1, sqrt(2), 0], [sqrt(2), 1, 1, 0]]
+    w_rips = WeightedRipsComplex(distance_matrix=distance_matrix,max_filtration=42)
+    st = w_rips.create_simplex_tree(max_dimension=1)
+    assert list(st.get_filtration()) == [
+        ([0], 0.0),
+        ([1], 0.0),
+        ([2], 0.0),
+        ([3], 0.0),
+        ([0, 1], 1.0),
+        ([0, 2], 1.0),
+        ([1, 3], 1.0),
+        ([2, 3], 1.0),
+        ([1, 2], sqrt(2)),
+        ([0, 3], sqrt(2)),
+    ]
+
+def test_compatibility_with_filtered_rips():
+    distance_matrix = [[0], [1, 0], [1, sqrt(2), 0], [sqrt(2), 1, 1, 0]]
+    w_rips = WeightedRipsComplex(distance_matrix=distance_matrix,max_filtration=1.0)
+    st = w_rips.create_simplex_tree(max_dimension=1)
+    
+    assert st.__is_defined() == True
+    assert st.__is_persistence_defined() == False
+
+    assert st.num_simplices() == 8
+    assert st.num_vertices() == 4
+
+def test_dtm_rips_complex():
+    pts = np.array([[2.0, 2.0], [0.0, 1.0], [3.0, 4.0]])
+    dist = cdist(pts,pts)
+    dtm = DistanceToMeasure(2, q=2, metric="precomputed")
+    r = dtm.fit_transform(dist)
+    w_rips = WeightedRipsComplex(distance_matrix=dist, weights=r)
+    st = w_rips.create_simplex_tree(max_dimension=2)
+    st.persistence()
+    persistence_intervals0 = st.persistence_intervals_in_dimension(0)
+    assert persistence_intervals0 == pytest.approx(np.array([[3.16227766, 5.39834564],[3.16227766, 5.39834564], [3.16227766, float("inf")]]))
+