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+/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+ * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+ * Author(s): Vincent Rouvreau
+ *
+ * Copyright (C) 2020 Inria
+ *
+ * Modification(s):
+ * - YYYY/MM Author: Description of the modification
+ */
+
+#include <gudhi/Flag_complex_edge_collapser.h>
+#include <gudhi/Simplex_tree.h>
+#include <gudhi/Persistent_cohomology.h>
+#include <gudhi/distance_functions.h>
+#include <gudhi/Points_off_io.h>
+#include <gudhi/graph_simplicial_complex.h>
+
+#include <boost/range/adaptor/transformed.hpp>
+
+#include<utility> // for std::pair
+#include<vector>
+#include<tuple>
+
+// Types definition
+
+using Simplex_tree = Gudhi::Simplex_tree<>;
+using Filtration_value = Simplex_tree::Filtration_value;
+using Vertex_handle = Simplex_tree::Vertex_handle;
+using Point = std::vector<Filtration_value>;
+using Vector_of_points = std::vector<Point>;
+
+using Proximity_graph = Gudhi::Proximity_graph<Simplex_tree>;
+
+using Field_Zp = Gudhi::persistent_cohomology::Field_Zp;
+using Persistent_cohomology = Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Field_Zp>;
+
+using Persistence_interval = std::tuple<int, Filtration_value, Filtration_value>;
+/*
+ * Compare two intervals by dimension, then by length.
+ */
+struct cmp_intervals_by_length {
+ explicit cmp_intervals_by_length(Simplex_tree * sc)
+ : sc_(sc) { }
+
+ template<typename Persistent_interval>
+ bool operator()(const Persistent_interval & p1, const Persistent_interval & p2) {
+ return (sc_->filtration(get < 1 > (p1)) - sc_->filtration(get < 0 > (p1))
+ > sc_->filtration(get < 1 > (p2)) - sc_->filtration(get < 0 > (p2)));
+ }
+ Simplex_tree* sc_;
+};
+
+std::vector<Persistence_interval> get_persistence_intervals(Simplex_tree& st, int ambient_dim) {
+ std::vector<Persistence_interval> persistence_intervals;
+ st.expansion(ambient_dim);
+
+ // Sort the simplices in the order of the filtration
+ st.initialize_filtration();
+ // Compute the persistence diagram of the complex
+ Persistent_cohomology pcoh(st);
+ // initializes the coefficient field for homology - must be a prime number
+ int p = 11;
+ pcoh.init_coefficients(p);
+
+ // Default min_interval_length = 0.
+ pcoh.compute_persistent_cohomology();
+ // Custom sort and output persistence
+ cmp_intervals_by_length cmp(&st);
+ auto persistent_pairs = pcoh.get_persistent_pairs();
+ std::sort(std::begin(persistent_pairs), std::end(persistent_pairs), cmp);
+ for (auto pair : persistent_pairs) {
+ persistence_intervals.emplace_back(st.dimension(get<0>(pair)),
+ st.filtration(get<0>(pair)),
+ st.filtration(get<1>(pair)));
+ }
+ return persistence_intervals;
+}
+
+int main(int argc, char* argv[]) {
+ if (argc != 3) {
+ std::cerr << "This program requires an OFF file and minimal threshold value as parameter\n";
+ std::cerr << "For instance: ./Edge_collapse_conserve_persistence ../../data/points/tore3D_300.off 1.\n";
+ exit(-1); // ----- >>
+ }
+
+ std::string off_file_points {argv[1]};
+ double threshold {atof(argv[2])};
+
+ Gudhi::Points_off_reader<Point> off_reader(off_file_points);
+ if (!off_reader.is_valid()) {
+ std::cerr << "Unable to read file " << off_file_points << "\n";
+ exit(-1); // ----- >>
+ }
+
+ Vector_of_points point_vector = off_reader.get_point_cloud();
+ if (point_vector.size() <= 0) {
+ std::cerr << "Empty point cloud." << std::endl;
+ exit(-1); // ----- >>
+ }
+
+ Proximity_graph proximity_graph = Gudhi::compute_proximity_graph<Simplex_tree>(off_reader.get_point_cloud(),
+ threshold,
+ Gudhi::Euclidean_distance());
+
+ if (num_edges(proximity_graph) <= 0) {
+ std::cerr << "Total number of egdes are zero." << std::endl;
+ exit(-1);
+ }
+
+ int ambient_dim = point_vector[0].size();
+
+ // ***** Simplex tree from a flag complex built after collapse *****
+ auto remaining_edges = Gudhi::collapse::flag_complex_collapse_edges(
+ boost::adaptors::transform(edges(proximity_graph), [&](auto&&edge){
+ return std::make_tuple(static_cast<Vertex_handle>(source(edge, proximity_graph)),
+ static_cast<Vertex_handle>(target(edge, proximity_graph)),
+ get(Gudhi::edge_filtration_t(), proximity_graph, edge));
+ })
+ );
+
+ Simplex_tree stree_from_collapse;
+ for (Vertex_handle vertex = 0; static_cast<std::size_t>(vertex) < point_vector.size(); vertex++) {
+ // insert the vertex with a 0. filtration value just like a Rips
+ stree_from_collapse.insert_simplex({vertex}, 0.);
+ }
+ for (auto remaining_edge : remaining_edges) {
+ stree_from_collapse.insert_simplex({std::get<0>(remaining_edge), std::get<1>(remaining_edge)},
+ std::get<2>(remaining_edge));
+ }
+
+ std::vector<Persistence_interval> persistence_intervals_from_collapse = get_persistence_intervals(stree_from_collapse, ambient_dim);
+
+ // ***** Simplex tree from the complete flag complex *****
+ Simplex_tree stree_wo_collapse;
+ stree_wo_collapse.insert_graph(proximity_graph);
+
+ std::vector<Persistence_interval> persistence_intervals_wo_collapse = get_persistence_intervals(stree_wo_collapse, ambient_dim);
+
+ // ***** Comparison *****
+ if (persistence_intervals_wo_collapse.size() != persistence_intervals_from_collapse.size()) {
+ std::cerr << "Number of persistence pairs with collapse is " << persistence_intervals_from_collapse.size() << std::endl;
+ std::cerr << "Number of persistence pairs without collapse is " << persistence_intervals_wo_collapse.size() << std::endl;
+ exit(-1);
+ }
+
+ int return_value = 0;
+ auto ppwoc_ptr = persistence_intervals_wo_collapse.begin();
+ for (auto ppfc: persistence_intervals_from_collapse) {
+ if (ppfc != *ppwoc_ptr) {
+ return_value++;
+ std::cerr << "Without collapse: "
+ << std::get<0>(*ppwoc_ptr) << " " << std::get<1>(*ppwoc_ptr) << " " << std::get<2>(*ppwoc_ptr)
+ << " - With collapse: "
+ << std::get<0>(ppfc) << " " << std::get<1>(ppfc) << " " << std::get<2>(ppfc) << std::endl;
+ }
+ ppwoc_ptr++;
+ }
+ return return_value;
+}