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Diffstat (limited to 'src/Witness_complex/example/example_strong_witness_complex_off.cpp')
-rw-r--r-- | src/Witness_complex/example/example_strong_witness_complex_off.cpp | 79 |
1 files changed, 0 insertions, 79 deletions
diff --git a/src/Witness_complex/example/example_strong_witness_complex_off.cpp b/src/Witness_complex/example/example_strong_witness_complex_off.cpp deleted file mode 100644 index 0ee9ee90..00000000 --- a/src/Witness_complex/example/example_strong_witness_complex_off.cpp +++ /dev/null @@ -1,79 +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 (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/>. - */ - -#include <gudhi/Simplex_tree.h> -#include <gudhi/Euclidean_strong_witness_complex.h> -#include <gudhi/pick_n_random_points.h> -#include <gudhi/Points_off_io.h> - -#include <CGAL/Epick_d.h> - -#include <iostream> -#include <fstream> -#include <ctime> -#include <string> -#include <vector> - -using K = CGAL::Epick_d<CGAL::Dynamic_dimension_tag>; -using Point_d = typename K::Point_d; -using Witness_complex = Gudhi::witness_complex::Euclidean_strong_witness_complex<K>; -using Point_vector = std::vector<Point_d>; - -int main(int argc, char * const argv[]) { - if (argc != 5) { - std::cerr << "Usage: " << argv[0] - << " path_to_point_file number_of_landmarks max_squared_alpha limit_dimension\n"; - return 0; - } - - std::string file_name = argv[1]; - int nbL = atoi(argv[2]), lim_dim = atoi(argv[4]); - double alpha2 = atof(argv[3]); - clock_t start, end; - Gudhi::Simplex_tree<> simplex_tree; - - // Read the point file - Point_vector point_vector, landmarks; - Gudhi::Points_off_reader<Point_d> off_reader(file_name); - if (!off_reader.is_valid()) { - std::cerr << "Strong witness complex - Unable to read file " << file_name << "\n"; - exit(-1); // ----- >> - } - point_vector = Point_vector(off_reader.get_point_cloud()); - - std::cout << "Successfully read " << point_vector.size() << " points.\n"; - std::cout << "Ambient dimension is " << point_vector[0].dimension() << ".\n"; - - // Choose landmarks - Gudhi::subsampling::pick_n_random_points(point_vector, nbL, std::back_inserter(landmarks)); - - // Compute witness complex - start = clock(); - Witness_complex witness_complex(landmarks, - point_vector); - - witness_complex.create_complex(simplex_tree, alpha2, lim_dim); - end = clock(); - std::cout << "Strong witness complex took " - << static_cast<double>(end - start) / CLOCKS_PER_SEC << " s. \n"; - std::cout << "Number of simplices is: " << simplex_tree.num_simplices() << "\n"; -} |