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-rwxr-xr-xcython/test/test_euclidean_witness_complex.py71
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diff --git a/cython/test/test_euclidean_witness_complex.py b/cython/test/test_euclidean_witness_complex.py
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+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_empty_euclidean_witness_complex():
+ euclidean_witness = gudhi.EuclideanWitnessComplex()
+ assert euclidean_witness.__is_defined() == False
+
+def test_witness_complex():
+ point_cloud = [[1.0, 1.0], [7.0, 0.0], [4.0, 6.0], [9.0, 6.0],
+ [0.0, 14.0], [2.0, 19.0], [9.0, 17.0]]
+ landmarks = [[1.0, 1.0], [7.0, 0.0], [4.0, 6.0]]
+ euclidean_witness_complex = gudhi.EuclideanWitnessComplex(landmarks=landmarks, witnesses = point_cloud)
+ simplex_tree = euclidean_witness_complex.create_simplex_tree(max_alpha_square=4.1)
+
+ assert landmarks[0] == euclidean_witness_complex.get_point(0)
+ assert landmarks[1] == euclidean_witness_complex.get_point(1)
+ assert landmarks[2] == euclidean_witness_complex.get_point(2)
+
+ assert simplex_tree.get_filtration() == [([0], 0.0), ([1], 0.0),
+ ([0, 1], 0.0), ([2], 0.0), ([0, 2], 0.0), ([1, 2], 0.0),
+ ([0, 1, 2], 0.0)]
+
+def test_empty_euclidean_strong_witness_complex():
+ euclidean_strong_witness = gudhi.EuclideanStrongWitnessComplex()
+ assert euclidean_strong_witness.__is_defined() == False
+
+def test_strong_witness_complex():
+ point_cloud = [[1.0, 1.0], [7.0, 0.0], [4.0, 6.0], [9.0, 6.0],
+ [0.0, 14.0], [2.0, 19.0], [9.0, 17.0]]
+ landmarks = [[1.0, 1.0], [7.0, 0.0], [4.0, 6.0]]
+ euclidean_strong_witness_complex = gudhi.EuclideanStrongWitnessComplex(landmarks=landmarks, witnesses = point_cloud)
+ simplex_tree = euclidean_strong_witness_complex.create_simplex_tree(max_alpha_square=14.9)
+
+ assert landmarks[0] == euclidean_strong_witness_complex.get_point(0)
+ assert landmarks[1] == euclidean_strong_witness_complex.get_point(1)
+ assert landmarks[2] == euclidean_strong_witness_complex.get_point(2)
+
+ assert simplex_tree.get_filtration() == [([0], 0.0), ([1], 0.0), ([2], 0.0)]
+
+ simplex_tree = euclidean_strong_witness_complex.create_simplex_tree(max_alpha_square=100.0)
+
+ assert simplex_tree.get_filtration() == [([0], 0.0), ([1], 0.0),
+ ([2], 0.0), ([1, 2], 15.0), ([0, 2], 34.0), ([0, 1], 37.0),
+ ([0, 1, 2], 37.0)]
+