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-rw-r--r--src/Witness_complex/test/witness_complex_points.cpp58
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diff --git a/src/Witness_complex/test/witness_complex_points.cpp b/src/Witness_complex/test/witness_complex_points.cpp
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-/* 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 "witness_complex_points"
-#include <boost/test/unit_test.hpp>
-#include <boost/mpl/list.hpp>
-
-#include <gudhi/Simplex_tree.h>
-#include <gudhi/Witness_complex.h>
-#include <gudhi/Construct_closest_landmark_table.h>
-#include <gudhi/pick_n_random_points.h>
-
-#include <iostream>
-#include <vector>
-
-typedef std::vector<double> Point;
-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(witness_complex_points) {
- std::vector< typeVectorVertex > knn;
- std::vector< Point > points, landmarks;
- // Add grid points as witnesses
- for (double i = 0; i < 10; i += 1.0)
- for (double j = 0; j < 10; j += 1.0)
- for (double k = 0; k < 10; k += 1.0)
- points.push_back(Point({i, j, k}));
-
- bool b_print_output = false;
- // First test: random choice
- Simplex_tree complex1;
- Gudhi::subsampling::pick_n_random_points(points, 100, std::back_inserter(landmarks));
- Gudhi::witness_complex::construct_closest_landmark_table<Simplex_tree::Filtration_value>(points, landmarks, knn);
- assert(!knn.empty());
- WitnessComplex witnessComplex1(knn, 100, 3, complex1);
- BOOST_CHECK(witnessComplex1.is_witness_complex(knn, b_print_output));
-}