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Diffstat (limited to 'src/Witness_complex/test/simple_witness_complex.cpp')
-rw-r--r-- | src/Witness_complex/test/simple_witness_complex.cpp | 59 |
1 files changed, 0 insertions, 59 deletions
diff --git a/src/Witness_complex/test/simple_witness_complex.cpp b/src/Witness_complex/test/simple_witness_complex.cpp deleted file mode 100644 index 6be39f58..00000000 --- a/src/Witness_complex/test/simple_witness_complex.cpp +++ /dev/null @@ -1,59 +0,0 @@ -/* 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): Siargey Kachanovich - * - * Copyright (C) 2016 INRIA Sophia Antipolis-Méditerranée (France) - * - * 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/>. - */ - -#define BOOST_TEST_DYN_LINK -#define BOOST_TEST_MODULE "simple_witness_complex" -#include <boost/test/unit_test.hpp> -#include <boost/mpl/list.hpp> - -#include <gudhi/Simplex_tree.h> -#include <gudhi/Witness_complex.h> - -#include <iostream> -#include <ctime> -#include <vector> - -typedef Gudhi::Simplex_tree<> Simplex_tree; -typedef std::vector< Simplex_tree::Vertex_handle > typeVectorVertex; -typedef Gudhi::witness_complex::Witness_complex<Simplex_tree> WitnessComplex; - -BOOST_AUTO_TEST_CASE(simple_witness_complex) { - Simplex_tree complex; - std::vector< typeVectorVertex > knn; - - knn.push_back({1, 0, 5, 2, 6, 3, 4}); - knn.push_back({2, 6, 4, 5, 0, 1, 3}); - knn.push_back({3, 4, 2, 1, 5, 6, 0}); - knn.push_back({4, 2, 1, 3, 5, 6, 0}); - knn.push_back({5, 1, 6, 0, 2, 3, 4}); - knn.push_back({6, 0, 5, 2, 1, 3, 4}); - knn.push_back({0, 5, 6, 1, 2, 3, 4}); - knn.push_back({2, 6, 4, 5, 3, 1, 0}); - knn.push_back({1, 2, 5, 4, 3, 6, 0}); - knn.push_back({3, 4, 0, 6, 5, 1, 2}); - knn.push_back({5, 0, 1, 3, 6, 2, 4}); - knn.push_back({5, 6, 1, 0, 2, 3, 4}); - knn.push_back({1, 6, 0, 5, 2, 3, 4}); - WitnessComplex witnessComplex(knn, 7, 7, complex); - - BOOST_CHECK(witnessComplex.is_witness_complex(knn, false)); -} |