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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): Vincent Rouvreau
*
* Copyright (C) 2015 INRIA Saclay (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_MODULE alpha_shapes test
#include <boost/test/included/unit_test.hpp>
#include <boost/system/error_code.hpp>
#include <boost/chrono/thread_clock.hpp>
// to construct a Delaunay_triangulation from a OFF file
#include "gudhi/Alpha_shapes/Delaunay_triangulation_off_io.h"
#include "gudhi/Alpha_shapes.h"
// to construct a simplex_tree from Delaunay_triangulation
#include "gudhi/graph_simplicial_complex.h"
#include "gudhi/Simplex_tree.h"
#include <CGAL/Delaunay_triangulation.h>
#include <CGAL/Epick_d.h>
#include <CGAL/point_generators_d.h>
#include <CGAL/algorithm.h>
#include <CGAL/assertions.h>
#include <iostream>
#include <iterator>
#include <stdio.h>
#include <stdlib.h>
#include <string>
// Use dynamic_dimension_tag for the user to be able to set dimension
typedef CGAL::Epick_d< CGAL::Dynamic_dimension_tag > K;
typedef CGAL::Delaunay_triangulation<K> T;
// The triangulation uses the default instanciation of the
// TriangulationDataStructure template parameter
BOOST_AUTO_TEST_CASE( OFF_file ) {
// ----------------------------------------------------------------------------
//
// Init of an alpha-shape from a OFF file
//
// ----------------------------------------------------------------------------
std::string off_file_name("S4_100.off");
std::cout << "========== OFF FILE NAME = " << off_file_name << " ==========" << std::endl;
Gudhi::alphashapes::Alpha_shapes alpha_shapes_from_file(off_file_name, 4);
const int DIMENSION = 4;
std::cout << "alpha_shapes_from_file.dimension()=" << alpha_shapes_from_file.dimension() << std::endl;
BOOST_CHECK(alpha_shapes_from_file.dimension() == DIMENSION);
const double FILTRATION = 0.0;
std::cout << "alpha_shapes_from_file.filtration()=" << alpha_shapes_from_file.filtration() << std::endl;
BOOST_CHECK(alpha_shapes_from_file.filtration() == FILTRATION);
const int NUMBER_OF_VERTICES = 100;
std::cout << "alpha_shapes_from_file.num_vertices()=" << alpha_shapes_from_file.num_vertices() << std::endl;
BOOST_CHECK(alpha_shapes_from_file.num_vertices() == NUMBER_OF_VERTICES);
const int NUMBER_OF_SIMPLICES = 6779;
std::cout << "alpha_shapes_from_file.num_simplices()=" << alpha_shapes_from_file.num_simplices() << std::endl;
BOOST_CHECK(alpha_shapes_from_file.num_simplices() == NUMBER_OF_SIMPLICES);
}
BOOST_AUTO_TEST_CASE( Delaunay_triangulation ) {
// ----------------------------------------------------------------------------
//
// Init of an alpha-shape from a Delauny triangulation
//
// ----------------------------------------------------------------------------
T dt(8);
std::string off_file_name("S8_10.off");
std::cout << "========== OFF FILE NAME = " << off_file_name << " ==========" << std::endl;
Gudhi::alphashapes::Delaunay_triangulation_off_reader<T> off_reader(off_file_name, dt, true, true);
std::cout << "off_reader.is_valid()=" << off_reader.is_valid() << std::endl;
BOOST_CHECK(off_reader.is_valid());
const int NUMBER_OF_VERTICES = 10;
std::cout << "dt.number_of_vertices()=" << dt.number_of_vertices() << std::endl;
BOOST_CHECK(dt.number_of_vertices() == NUMBER_OF_VERTICES);
const int NUMBER_OF_FULL_CELLS = 30;
std::cout << "dt.number_of_full_cells()=" << dt.number_of_full_cells() << std::endl;
BOOST_CHECK(dt.number_of_full_cells() == NUMBER_OF_FULL_CELLS);
const int NUMBER_OF_FINITE_FULL_CELLS = 6;
std::cout << "dt.number_of_finite_full_cells()=" << dt.number_of_finite_full_cells() << std::endl;
BOOST_CHECK(dt.number_of_finite_full_cells() == NUMBER_OF_FINITE_FULL_CELLS);
Gudhi::alphashapes::Alpha_shapes alpha_shapes_from_dt(dt);
const int DIMENSION = 8;
std::cout << "alpha_shapes_from_dt.dimension()=" << alpha_shapes_from_dt.dimension() << std::endl;
BOOST_CHECK(alpha_shapes_from_dt.dimension() == DIMENSION);
const double FILTRATION = 0.0;
std::cout << "alpha_shapes_from_dt.filtration()=" << alpha_shapes_from_dt.filtration() << std::endl;
BOOST_CHECK(alpha_shapes_from_dt.filtration() == FILTRATION);
std::cout << "alpha_shapes_from_dt.num_vertices()=" << alpha_shapes_from_dt.num_vertices() << std::endl;
BOOST_CHECK(alpha_shapes_from_dt.num_vertices() == NUMBER_OF_VERTICES);
const int NUMBER_OF_SIMPLICES = 997;
std::cout << "alpha_shapes_from_dt.num_simplices()=" << alpha_shapes_from_dt.num_simplices() << std::endl;
BOOST_CHECK(alpha_shapes_from_dt.num_simplices() == NUMBER_OF_SIMPLICES);
}
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