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authorvrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-01-27 17:10:54 +0000
committervrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-01-27 17:10:54 +0000
commitfee58180eb9e2617f92e2f92bb6d1120348f310f (patch)
tree79a279ea42c0e3e8105746ca145999e59f717165 /src/cython/test
parent88a606bd964144d8045fe91debbfcc77064a73a2 (diff)
Add bottleneck distance
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/ST_cythonize@2019 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 1320379f3d41ef4d11326c1aad1dd20469d3f4e0
Diffstat (limited to 'src/cython/test')
-rwxr-xr-xsrc/cython/test/test_bottleneck_distance.py35
1 files changed, 35 insertions, 0 deletions
diff --git a/src/cython/test/test_bottleneck_distance.py b/src/cython/test/test_bottleneck_distance.py
new file mode 100755
index 00000000..3d982d34
--- /dev/null
+++ b/src/cython/test/test_bottleneck_distance.py
@@ -0,0 +1,35 @@
+import gudhi
+
+"""This file is part of the Gudhi Library. The Gudhi library
+ (Geometric Understanding in Higher Dimensions) is a generic C++
+ library for computational topology.
+
+ Author(s): Vincent Rouvreau
+
+ Copyright (C) 2016 INRIA
+
+ This program is free software: you can redistribute it and/or modify
+ it under the terms of the GNU General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU General Public License for more details.
+
+ You should have received a copy of the GNU General Public License
+ along with this program. If not, see <http://www.gnu.org/licenses/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+
+def test_basic_bottleneck():
+ diag1 = [[2.7, 3.7],[9.6, 14.],[34.2, 34.974], [3.,float('Inf')]]
+ diag2 = [[2.8, 4.45],[9.5, 14.1],[3.2,float('Inf')]]
+
+ assert(gudhi.bottleneck_distance(diag1, diag2, 0.1) == 0.8081763781405569)
+ assert(gudhi.bottleneck_distance(diag1, diag2) == 0.75)