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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, 59 insertions, 0 deletions
diff --git a/src/Witness_complex/test/simple_witness_complex.cpp b/src/Witness_complex/test/simple_witness_complex.cpp new file mode 100644 index 00000000..03df78ee --- /dev/null +++ b/src/Witness_complex/test/simple_witness_complex.cpp @@ -0,0 +1,59 @@ +/* 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< 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)); +} |