#include <gudhi/Simplex_tree.h>
#include <gudhi/Euclidean_witness_complex.h>
#include <gudhi/Persistent_cohomology.h>
#include <gudhi/Points_off_io.h>
#include <gudhi/pick_n_random_points.h>
#include <gudhi/choose_n_farthest_points.h>
#include <boost/program_options.hpp>
#include <CGAL/Epick_d.h>
#include <string>
#include <vector>
#include <limits>
using K = CGAL::Epick_d<CGAL::Dynamic_dimension_tag>;
using Point_d = K::Point_d;
using Point_vector = std::vector<Point_d>;
void program_options(int argc, char* argv[], int& nbL, std::string& file_name, std::string& filediag,
int main(int argc, char* argv[]) {
std::string file_name;
std::string filediag;
int p, nbL, lim_d;
program_options(argc, argv, nbL, file_name, filediag, max_squared_alpha, p, lim_d, min_persistence);
Point_vector witnesses, landmarks;
if (!off_reader.is_valid()) {
std::cerr << "Witness complex - Unable to read file " << file_name << "\n";
exit(-1);
}
witnesses = Point_vector(off_reader.get_point_cloud());
std::clog << "Successfully read " << witnesses.size() << " points.\n";
std::clog << "Ambient dimension is " << witnesses[0].dimension() << ".\n";
std::back_inserter(landmarks));
witness_complex.create_complex(simplex_tree, max_squared_alpha, lim_d);
std::clog <<
"The complex contains " << simplex_tree.
num_simplices() <<
" simplices \n";
std::clog <<
" and has dimension " << simplex_tree.
dimension() <<
" \n";
pcoh.init_coefficients(p);
pcoh.compute_persistent_cohomology(min_persistence);
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[], int& nbL, std::string& file_name, std::string& filediag,
namespace po = boost::program_options;
po::options_description hidden("Hidden options");
hidden.add_options()("input-file", po::value<std::string>(&file_name),
"Name of file containing a point set in off format.");
Filtration_value default_alpha = std::numeric_limits<Filtration_value>::infinity();
po::options_description visible("Allowed options", 100);
visible.add_options()("help,h", "produce help message")("landmarks,l", po::value<int>(&nbL),
"Number of landmarks to choose from the point cloud.")(
"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 standard output")(
"max-sq-alpha,a", po::value<Filtration_value>(&max_squared_alpha)->default_value(default_alpha),
"Maximal squared relaxation parameter.")(
"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)->default_value(0),
"Minimal lifetime of homology feature to be recorded. Default is 0. Enter a negative value to see zero length "
"intervals")("cpx-dimension,d", po::value<int>(&dim_max)->default_value(std::numeric_limits<int>::max()),
"Maximal dimension of the weak witness complex we want to compute.");
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::clog << std::endl;
std::clog << "Compute the persistent homology with coefficient field Z/pZ \n";
std::clog << "of a Weak witness complex defined on a set of input points.\n \n";
std::clog << "The output diagram contains one bar per line, written with the convention: \n";
std::clog << " p dim b d \n";
std::clog << "where dim is the dimension of the homological feature,\n";
std::clog << "b and d are respectively the birth and death of the feature and \n";
std::clog << "p is the characteristic of the field Z/pZ used for homology coefficients." << std::endl << std::endl;
std::clog << "Usage: " << argv[0] << " [options] input-file" << std::endl << std::endl;
std::clog << visible << std::endl;
exit(-1);
}
}
OFF file reader implementation in order to read points from an OFF file.
Definition: Points_off_io.h:122
Simplex Tree data structure for representing simplicial complexes.
Definition: Simplex_tree.h:95
Options::Filtration_value Filtration_value
Type for the value of the filtration function.
Definition: Simplex_tree.h:102
void initialize_filtration(bool ignore_infinite_values=false)
Initializes the filtration cache, i.e. sorts the simplices according to their order in the filtration...
Definition: Simplex_tree.h:1055
size_t num_simplices()
Returns the number of simplices in the simplex_tree.
Definition: Simplex_tree.h:664
Structure representing the coefficient field .
Definition: Field_Zp.h:27
Computes the persistent cohomology of a filtered complex.
Definition: Persistent_cohomology.h:54
Constructs strong witness complex for given sets of witnesses and landmarks in Euclidean space.
Definition: Euclidean_strong_witness_complex.h:51
Constructs (weak) witness complex for given sets of witnesses and landmarks in Euclidean space.
Definition: Euclidean_witness_complex.h:53
void choose_n_farthest_points(Distance dist, Point_range const &input_pts, std::size_t final_size, std::size_t starting_point, PointOutputIterator output_it, DistanceOutputIterator dist_it={})
Subsample by an iterative, greedy strategy.
Definition: choose_n_farthest_points.h:75
@ random_starting_point
Definition: choose_n_farthest_points.h:43
Value type for a filtration function on a cell complex.
Definition: FiltrationValue.h:20