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authoryuichi-ike <yuichi.ike.1990@gmail.com>2020-04-06 21:19:55 +0900
committeryuichi-ike <yuichi.ike.1990@gmail.com>2020-04-06 21:19:55 +0900
commita4fa5f673784a842e9fac13003c843d454c888a4 (patch)
treeb412473b8707f6f593c8b836eea4ca31f5e0cbae /src/python/test
parent15586d479be885319dde6f703c3126176b796732 (diff)
bug fixed, parameter name changed
Diffstat (limited to 'src/python/test')
-rw-r--r--src/python/test/test_weighted_rips.py13
1 files changed, 6 insertions, 7 deletions
diff --git a/src/python/test/test_weighted_rips.py b/src/python/test/test_weighted_rips.py
index f0db6798..7896fb78 100644
--- a/src/python/test/test_weighted_rips.py
+++ b/src/python/test/test_weighted_rips.py
@@ -1,6 +1,6 @@
""" 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
+ Author(s): Yuichi Ike and Masatoshi Takenouchi
Copyright (C) 2020 Inria
@@ -10,18 +10,17 @@
from gudhi.weighted_rips_complex import WeightedRipsComplex
from gudhi.point_cloud.dtm import DTM
-import numpy
+import numpy as np
from scipy.spatial.distance import cdist
import pytest
def test_dtm_rips_complex():
- pts = numpy.array([[2.0, 2], [0, 1], [3, 4]])
+ pts = np.array([[2.0, 2], [0, 1], [3, 4]])
dist = cdist(pts,pts)
dtm = DTM(2, q=2, metric="precomputed")
r = dtm.fit_transform(dist)
- w_rips = WeightedRipsComplex(distance_mattix=dist, filtration_values=r)
+ w_rips = WeightedRipsComplex(distance_mattix=dist, weights=r)
st = w_rips.create_simplex_tree(max_dimension=2)
- diag = st.persistence()
- assert diag == [(0, (1.5811388300841898, float("inf"))), (0, (1.5811388300841898, 2.699172818834085)), (0, (1.5811388300841898, 2.699172818834085))]
+ persistence_intervals0 = st.persistence_intervals_in_dimension(0)
+ assert persistence_intervals0 == pytest.approx(np.array([[1.58113883, 2.69917282],[1.58113883, 2.69917282], [1.58113883, float("inf")]]))
- \ No newline at end of file