DTM Rips added (straightforward way)

1 files changed, 0 insertions, 63 deletions

diff --git a/src/python/test/test_weighted_rips.py b/src/python/test/test_weighted_rips.py
deleted file mode 100644
index 7ef48333..00000000
--- a/src/python/test/test_weighted_rips.py
+++ /dev/null
@@ -1,63 +0,0 @@
-""" 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")]]))
-