1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
|
/* 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));
}
|
