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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): Siargey Kachanovich
+ *
+ * Copyright (C) 2015 INRIA Sophia Antipolis-Méditerranée (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/>.
+ */
+
+#ifndef WITNESS_COMPLEX_H_
+#define WITNESS_COMPLEX_H_
+
+// Needed for the adjacency graph in bad link search
+#include <boost/graph/graph_traits.hpp>
+#include <boost/graph/adjacency_list.hpp>
+#include <boost/graph/connected_components.hpp>
+
+#include <boost/range/size.hpp>
+
+#include <gudhi/distance_functions.h>
+
+#include <algorithm>
+#include <utility>
+#include <vector>
+#include <list>
+#include <set>
+#include <queue>
+#include <limits>
+#include <ctime>
+#include <iostream>
+
+namespace Gudhi {
+
+namespace witness_complex {
+
+// /*
+// * \private
+// \class Witness_complex
+// \brief Constructs the witness complex for the given set of witnesses and landmarks.
+// \ingroup witness_complex
+// */
+template< class SimplicialComplex>
+class Witness_complex {
+ private:
+ struct Active_witness {
+ int witness_id;
+ int landmark_id;
+
+ Active_witness(int witness_id_, int landmark_id_)
+ : witness_id(witness_id_),
+ landmark_id(landmark_id_) { }
+ };
+
+ private:
+ typedef typename SimplicialComplex::Simplex_handle Simplex_handle;
+ typedef typename SimplicialComplex::Vertex_handle Vertex_handle;
+
+ typedef std::vector< double > Point_t;
+ typedef std::vector< Point_t > Point_Vector;
+
+ typedef std::vector< Vertex_handle > typeVectorVertex;
+ typedef std::pair< typeVectorVertex, Filtration_value> typeSimplex;
+ typedef std::pair< Simplex_handle, bool > typePairSimplexBool;
+
+ typedef int Witness_id;
+ typedef int Landmark_id;
+ typedef std::list< Vertex_handle > ActiveWitnessList;
+
+ private:
+ int nbL_; // Number of landmarks
+ SimplicialComplex& sc_; // Simplicial complex
+
+ public:
+ /////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
+ /* @name Constructor
+ */
+
+ //@{
+
+ // Witness_range<Closest_landmark_range<Vertex_handle>>
+
+ /*
+ * \brief Iterative construction of the witness complex.
+ * \details The witness complex is written in sc_ basing on a matrix knn of
+ * nearest neighbours of the form {witnesses}x{landmarks}.
+ *
+ * The type KNearestNeighbors can be seen as
+ * Witness_range<Closest_landmark_range<Vertex_handle>>, where
+ * Witness_range and Closest_landmark_range are random access ranges.
+ *
+ * Constructor takes into account at most (dim+1)
+ * first landmarks from each landmark range to construct simplices.
+ *
+ * Landmarks are supposed to be in [0,nbL_-1]
+ */
+ template< typename KNearestNeighbors >
+ Witness_complex(KNearestNeighbors const & knn,
+ int nbL,
+ int dim,
+ SimplicialComplex & sc) : nbL_(nbL), sc_(sc) {
+ // Construction of the active witness list
+ int nbW = boost::size(knn);
+ typeVectorVertex vv;
+ int counter = 0;
+ /* The list of still useful witnesses
+ * it will diminuish in the course of iterations
+ */
+ ActiveWitnessList active_w; // = new ActiveWitnessList();
+ for (Vertex_handle i = 0; i != nbL_; ++i) {
+ // initial fill of 0-dimensional simplices
+ // by doing it we don't assume that landmarks are necessarily witnesses themselves anymore
+ counter++;
+ vv = {i};
+ sc_.insert_simplex(vv);
+ // TODO(SK) Error if not inserted : normally no need here though
+ }
+ int k = 1; /* current dimension in iterative construction */
+ for (int i = 0; i != nbW; ++i)
+ active_w.push_back(i);
+ while (!active_w.empty() && k < dim) {
+ typename ActiveWitnessList::iterator it = active_w.begin();
+ while (it != active_w.end()) {
+ typeVectorVertex simplex_vector;
+ /* THE INSERTION: Checking if all the subfaces are in the simplex tree*/
+ bool ok = all_faces_in(knn, *it, k);
+ if (ok) {
+ for (int i = 0; i != k + 1; ++i)
+ simplex_vector.push_back(knn[*it][i]);
+ sc_.insert_simplex(simplex_vector);
+ // TODO(SK) Error if not inserted : normally no need here though
+ ++it;
+ } else {
+ active_w.erase(it++); // First increase the iterator and then erase the previous element
+ }
+ }
+ k++;
+ }
+ }
+
+ //@}
+
+ private:
+ /* \brief Check if the facets of the k-dimensional simplex witnessed
+ * by witness witness_id are already in the complex.
+ * inserted_vertex is the handle of the (k+1)-th vertex witnessed by witness_id
+ */
+ template <typename KNearestNeighbors>
+ bool all_faces_in(KNearestNeighbors const &knn, int witness_id, int k) {
+ std::vector< Vertex_handle > facet;
+ // CHECK ALL THE FACETS
+ for (int i = 0; i != k + 1; ++i) {
+ facet = {};
+ for (int j = 0; j != k + 1; ++j) {
+ if (j != i) {
+ facet.push_back(knn[witness_id][j]);
+ }
+ } // endfor
+ if (sc_.find(facet) == sc_.null_simplex())
+ return false;
+ } // endfor
+ return true;
+ }
+
+ template <typename T>
+ static void print_vector(const std::vector<T>& v) {
+ std::cout << "[";
+ if (!v.empty()) {
+ std::cout << *(v.begin());
+ for (auto it = v.begin() + 1; it != v.end(); ++it) {
+ std::cout << ",";
+ std::cout << *it;
+ }
+ }
+ std::cout << "]";
+ }
+
+ public:
+ // /*
+ // * \brief Verification if every simplex in the complex is witnessed by witnesses in knn.
+ // * \param print_output =true will print the witnesses for each simplex
+ // * \remark Added for debugging purposes.
+ // */
+ template< class KNearestNeighbors >
+ bool is_witness_complex(KNearestNeighbors const & knn, bool print_output) {
+ for (Simplex_handle sh : sc_.complex_simplex_range()) {
+ bool is_witnessed = false;
+ typeVectorVertex simplex;
+ int nbV = 0; // number of verticed in the simplex
+ for (Vertex_handle v : sc_.simplex_vertex_range(sh))
+ simplex.push_back(v);
+ nbV = simplex.size();
+ for (typeVectorVertex w : knn) {
+ bool has_vertices = true;
+ for (Vertex_handle v : simplex)
+ if (std::find(w.begin(), w.begin() + nbV, v) == w.begin() + nbV) {
+ has_vertices = false;
+ }
+ if (has_vertices) {
+ is_witnessed = true;
+ if (print_output) {
+ std::cout << "The simplex ";
+ print_vector(simplex);
+ std::cout << " is witnessed by the witness ";
+ print_vector(w);
+ std::cout << std::endl;
+ }
+ break;
+ }
+ }
+ if (!is_witnessed) {
+ if (print_output) {
+ std::cout << "The following simplex is not witnessed ";
+ print_vector(simplex);
+ std::cout << std::endl;
+ }
+ assert(is_witnessed);
+ return false;
+ }
+ }
+ return true;
+ }
+};
+
+ /**
+ * \ingroup witness_complex
+ * \brief Iterative construction of the witness complex.
+ * \details The witness complex is written in simplicial complex sc_
+ * basing on a matrix knn of
+ * nearest neighbours of the form {witnesses}x{landmarks}.
+ *
+ * The type KNearestNeighbors can be seen as
+ * Witness_range<Closest_landmark_range<Vertex_handle>>, where
+ * Witness_range and Closest_landmark_range are random access ranges.
+ *
+ * Procedure takes into account at most (dim+1)
+ * first landmarks from each landmark range to construct simplices.
+ *
+ * Landmarks are supposed to be in [0,nbL_-1]
+ */
+ template <class KNearestNeighbors, class SimplicialComplexForWitness>
+ void witness_complex(KNearestNeighbors const & knn,
+ int nbL,
+ int dim,
+ SimplicialComplexForWitness & sc) {
+ Witness_complex<SimplicialComplexForWitness>(knn, nbL, dim, sc);
+ }
+
+} // namespace witness_complex
+
+} // namespace Gudhi
+
+#endif // WITNESS_COMPLEX_H_