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-rw-r--r--utilities/Rips_complex/sparse_rips_persistence.cpp133
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diff --git a/utilities/Rips_complex/sparse_rips_persistence.cpp b/utilities/Rips_complex/sparse_rips_persistence.cpp
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--- a/utilities/Rips_complex/sparse_rips_persistence.cpp
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@@ -1,133 +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): Marc Glisse, Clément Maria
- *
- * Copyright (C) 2018 Inria
- *
- * 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/Sparse_rips_complex.h>
-#include <gudhi/distance_functions.h>
-#include <gudhi/Simplex_tree.h>
-#include <gudhi/Persistent_cohomology.h>
-#include <gudhi/Points_off_io.h>
-
-#include <boost/program_options.hpp>
-
-#include <string>
-#include <vector>
-
-// Types definition
-using Simplex_tree = Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_fast_persistence>;
-using Filtration_value = Simplex_tree::Filtration_value;
-using Sparse_rips = Gudhi::rips_complex::Sparse_rips_complex<Filtration_value>;
-using Field_Zp = Gudhi::persistent_cohomology::Field_Zp;
-using Persistent_cohomology = Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Field_Zp>;
-using Point = std::vector<double>;
-using Points_off_reader = Gudhi::Points_off_reader<Point>;
-
-void program_options(int argc, char* argv[], std::string& off_file_points, std::string& filediag, double& epsilon,
- int& dim_max, int& p, Filtration_value& min_persistence);
-
-int main(int argc, char* argv[]) {
- std::string off_file_points;
- std::string filediag;
- double epsilon;
- int dim_max;
- int p;
- Filtration_value min_persistence;
-
- program_options(argc, argv, off_file_points, filediag, epsilon, dim_max, p, min_persistence);
-
- Points_off_reader off_reader(off_file_points);
- Sparse_rips sparse_rips(off_reader.get_point_cloud(), Gudhi::Euclidean_distance(), epsilon);
-
- // Construct the Rips complex in a Simplex Tree
- Simplex_tree simplex_tree;
-
- sparse_rips.create_complex(simplex_tree, dim_max);
- std::cout << "The complex contains " << simplex_tree.num_simplices() << " simplices \n";
- std::cout << " and has dimension " << simplex_tree.dimension() << " \n";
-
- // Sort the simplices in the order of the filtration
- simplex_tree.initialize_filtration();
-
- // Compute the persistence diagram of the complex
- Persistent_cohomology pcoh(simplex_tree);
- // initializes the coefficient field for homology
- pcoh.init_coefficients(p);
-
- pcoh.compute_persistent_cohomology(min_persistence);
-
- // Output the diagram in filediag
- if (filediag.empty()) {
- pcoh.output_diagram();
- } else {
- std::ofstream out(filediag);
- pcoh.output_diagram(out);
- out.close();
- }
-
- return 0;
-}
-
-void program_options(int argc, char* argv[], std::string& off_file_points, std::string& filediag, double& epsilon,
- int& dim_max, int& p, Filtration_value& min_persistence) {
- namespace po = boost::program_options;
- po::options_description hidden("Hidden options");
- hidden.add_options()("input-file", po::value<std::string>(&off_file_points),
- "Name of an OFF file containing a point set.\n");
-
- po::options_description visible("Allowed options", 100);
- visible.add_options()("help,h", "produce help message")(
- "output-file,o", po::value<std::string>(&filediag)->default_value(std::string()),
- "Name of file in which the persistence diagram is written. Default print in std::cout")(
- "approximation,e", po::value<double>(&epsilon)->default_value(.5),
- "Epsilon, where the sparse Rips complex is a (1+epsilon)-approximation of the Rips complex.")(
- "cpx-dimension,d", po::value<int>(&dim_max)->default_value(1),
- "Maximal dimension of the Rips complex we want to compute.")(
- "field-charac,p", po::value<int>(&p)->default_value(11),
- "Characteristic p of the coefficient field Z/pZ for computing homology.")(
- "min-persistence,m", po::value<Filtration_value>(&min_persistence),
- "Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length "
- "intervals");
-
- po::positional_options_description pos;
- pos.add("input-file", 1);
-
- po::options_description all;
- all.add(visible).add(hidden);
-
- po::variables_map vm;
- po::store(po::command_line_parser(argc, argv).options(all).positional(pos).run(), vm);
- po::notify(vm);
-
- if (vm.count("help") || !vm.count("input-file")) {
- std::cout << std::endl;
- std::cout << "Compute the persistent homology with coefficient field Z/pZ \n";
- std::cout << "of a sparse (1+epsilon)-approximation of the Rips complex \ndefined on a set of input points.\n \n";
- std::cout << "The output diagram contains one bar per line, written with the convention: \n";
- std::cout << " p dim b d \n";
- std::cout << "where dim is the dimension of the homological feature,\n";
- std::cout << "b and d are respectively the birth and death of the feature and \n";
- std::cout << "p is the characteristic of the field Z/pZ used for homology coefficients." << std::endl << std::endl;
-
- std::cout << "Usage: " << argv[0] << " [options] input-file" << std::endl << std::endl;
- std::cout << visible << std::endl;
- exit(-1);
- }
-}