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Diffstat (limited to 'cython/test/test_euclidean_witness_complex.py')
-rwxr-xr-x | cython/test/test_euclidean_witness_complex.py | 71 |
1 files changed, 0 insertions, 71 deletions
diff --git a/cython/test/test_euclidean_witness_complex.py b/cython/test/test_euclidean_witness_complex.py deleted file mode 100755 index 2f77210a..00000000 --- a/cython/test/test_euclidean_witness_complex.py +++ /dev/null @@ -1,71 +0,0 @@ -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)] - |