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authorskachano <skachano@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2016-01-15 08:57:23 +0000
committerskachano <skachano@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2016-01-15 08:57:23 +0000
commit377b59e5e7fa6a92bd21b0cb9b9b86e33632e4ed (patch)
tree3a501d96b860460e5677d5294e1dae5e07dabf23 /src/Witness_complex/example
parent500d18704bc26166983ea005278bd187e2d3020c (diff)
Removed relaxed_witness_complex_sphere from repository
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/witness@971 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 886ea9c52839e6cb21872da5097a55037b027ca7
Diffstat (limited to 'src/Witness_complex/example')
-rw-r--r--src/Witness_complex/example/relaxed_witness_complex_sphere.cpp461
1 files changed, 0 insertions, 461 deletions
diff --git a/src/Witness_complex/example/relaxed_witness_complex_sphere.cpp b/src/Witness_complex/example/relaxed_witness_complex_sphere.cpp
deleted file mode 100644
index 067321ce..00000000
--- a/src/Witness_complex/example/relaxed_witness_complex_sphere.cpp
+++ /dev/null
@@ -1,461 +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) 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/>.
- */
-
-#include <iostream>
-#include <fstream>
-#include <ctime>
-#include <utility>
-#include <algorithm>
-#include <set>
-#include <queue>
-#include <iterator>
-
-#include <sys/types.h>
-#include <sys/stat.h>
-//#include <stdlib.h>
-
-//#include "gudhi/graph_simplicial_complex.h"
-#include "gudhi/Relaxed_witness_complex.h"
-#include "gudhi/reader_utils.h"
-#include "gudhi/Collapse/Collapse.h"
-//#include <boost/filesystem.hpp>
-
-//#include <CGAL/Delaunay_triangulation.h>
-#include <CGAL/Cartesian_d.h>
-#include <CGAL/Search_traits.h>
-#include <CGAL/Search_traits_adapter.h>
-#include <CGAL/property_map.h>
-#include <CGAL/Epick_d.h>
-#include <CGAL/Orthogonal_incremental_neighbor_search.h>
-#include <CGAL/Kd_tree.h>
-#include <CGAL/Euclidean_distance.h>
-
-#include <CGAL/Kernel_d/Vector_d.h>
-#include <CGAL/point_generators_d.h>
-#include <CGAL/constructions_d.h>
-#include <CGAL/Fuzzy_sphere.h>
-#include <CGAL/Random.h>
-
-
-#include <boost/tuple/tuple.hpp>
-#include <boost/iterator/zip_iterator.hpp>
-#include <boost/iterator/counting_iterator.hpp>
-#include <boost/range/iterator_range.hpp>
-
-using namespace Gudhi;
-//using namespace boost::filesystem;
-
-typedef CGAL::Epick_d<CGAL::Dynamic_dimension_tag> K;
-typedef K::FT FT;
-typedef K::Point_d Point_d;
-typedef CGAL::Search_traits<
- FT, Point_d,
- typename K::Cartesian_const_iterator_d,
- typename K::Construct_cartesian_const_iterator_d> Traits_base;
-typedef CGAL::Euclidean_distance<Traits_base> Euclidean_distance;
-
-typedef std::vector< Vertex_handle > typeVectorVertex;
-
-//typedef std::pair<typeVectorVertex, Filtration_value> typeSimplex;
-//typedef std::pair< Simplex_tree<>::Simplex_handle, bool > typePairSimplexBool;
-
-typedef CGAL::Search_traits_adapter<
- std::ptrdiff_t, Point_d*, Traits_base> STraits;
-//typedef K TreeTraits;
-//typedef CGAL::Distance_adapter<std::ptrdiff_t,Point_d*,Euclidean_distance > Euclidean_adapter;
-//typedef CGAL::Kd_tree<STraits> Kd_tree;
-typedef CGAL::Orthogonal_incremental_neighbor_search<STraits, CGAL::Distance_adapter<std::ptrdiff_t,Point_d*,Euclidean_distance>> Neighbor_search;
-typedef Neighbor_search::Tree Tree;
-typedef Neighbor_search::Distance Distance;
-typedef Neighbor_search::iterator KNS_iterator;
-typedef Neighbor_search::iterator KNS_range;
-typedef boost::container::flat_map<int, int> Point_etiquette_map;
-typedef CGAL::Kd_tree<STraits> Tree2;
-
-typedef CGAL::Fuzzy_sphere<STraits> Fuzzy_sphere;
-
-typedef std::vector<Point_d> Point_Vector;
-
-//typedef K::Equal_d Equal_d;
-typedef CGAL::Random_points_in_cube_d<Point_d> Random_cube_iterator;
-typedef CGAL::Random_points_in_ball_d<Point_d> Random_point_iterator;
-
-bool toric=false;
-
-/**
- * \brief Customized version of read_points
- * which takes into account a possible nbP first line
- *
- */
-inline void
-read_points_cust ( std::string file_name , Point_Vector & points)
-{
- std::ifstream in_file (file_name.c_str(),std::ios::in);
- if(!in_file.is_open())
- {
- std::cerr << "Unable to open file " << file_name << std::endl;
- return;
- }
- std::string line;
- double x;
- while( getline ( in_file , line ) )
- {
- std::vector< double > point;
- std::istringstream iss( line );
- while(iss >> x) { point.push_back(x); }
- Point_d p(point.begin(), point.end());
- if (point.size() != 1)
- points.push_back(p);
- }
- in_file.close();
-}
-
-
-void generate_points_sphere(Point_Vector& W, int nbP, int dim)
-{
- CGAL::Random_points_on_sphere_d<Point_d> rp(dim,1);
- for (int i = 0; i < nbP; i++)
- W.push_back(*rp++);
-}
-
-
-void write_wl( std::string file_name, std::vector< std::vector <int> > & WL)
-{
- std::ofstream ofs (file_name, std::ofstream::out);
- for (auto w : WL)
- {
- for (auto l: w)
- ofs << l << " ";
- ofs << "\n";
- }
- ofs.close();
-}
-
-void write_rl( std::string file_name, std::vector< std::vector <std::vector<int>::iterator> > & rl)
-{
- std::ofstream ofs (file_name, std::ofstream::out);
- for (auto w : rl)
- {
- for (auto l: w)
- ofs << *l << " ";
- ofs << "\n";
- }
- ofs.close();
-}
-
-std::vector<Point_d> convert_to_torus(std::vector< Point_d>& points)
-{
- std::vector< Point_d > points_torus;
- for (auto p: points)
- {
- FT theta = M_PI*p[0];
- FT phi = M_PI*p[1];
- std::vector<FT> p_torus;
- p_torus.push_back((1+0.2*cos(theta))*cos(phi));
- p_torus.push_back((1+0.2*cos(theta))*sin(phi));
- p_torus.push_back(0.2*sin(theta));
- points_torus.push_back(Point_d(p_torus));
- }
- return points_torus;
-}
-
-
-void write_points_torus( std::string file_name, std::vector< Point_d > & points)
-{
- std::ofstream ofs (file_name, std::ofstream::out);
- std::vector<Point_d> points_torus = convert_to_torus(points);
- for (auto w : points_torus)
- {
- for (auto it = w.cartesian_begin(); it != w.cartesian_end(); ++it)
- ofs << *it << " ";
- ofs << "\n";
- }
- ofs.close();
-}
-
-
-void write_points( std::string file_name, std::vector< Point_d > & points)
-{
- if (toric) write_points_torus(file_name, points);
- else
- {
- std::ofstream ofs (file_name, std::ofstream::out);
- for (auto w : points)
- {
- for (auto it = w.cartesian_begin(); it != w.cartesian_end(); ++it)
- ofs << *it << " ";
- ofs << "\n";
- }
- ofs.close();
- }
-}
-
-
-void write_edges_torus(std::string file_name, Witness_complex<>& witness_complex, Point_Vector& landmarks)
-{
- std::ofstream ofs (file_name, std::ofstream::out);
- Point_Vector l_torus = convert_to_torus(landmarks);
- for (auto u: witness_complex.complex_vertex_range())
- for (auto v: witness_complex.complex_vertex_range())
- {
- typeVectorVertex edge = {u,v};
- if (u < v && witness_complex.find(edge) != witness_complex.null_simplex())
- {
- for (auto it = l_torus[u].cartesian_begin(); it != l_torus[u].cartesian_end(); ++it)
- ofs << *it << " ";
- ofs << "\n";
- for (auto it = l_torus[v].cartesian_begin(); it != l_torus[v].cartesian_end(); ++it)
- ofs << *it << " ";
- ofs << "\n\n\n";
- }
- }
- ofs.close();
-}
-
-void write_edges(std::string file_name, Witness_complex<>& witness_complex, Point_Vector& landmarks)
-{
- std::ofstream ofs (file_name, std::ofstream::out);
- if (toric) write_edges_torus(file_name, witness_complex, landmarks);
- else
- {
- for (auto u: witness_complex.complex_vertex_range())
- for (auto v: witness_complex.complex_vertex_range())
- {
- typeVectorVertex edge = {u,v};
- if (u < v && witness_complex.find(edge) != witness_complex.null_simplex())
- {
- for (auto it = landmarks[u].cartesian_begin(); it != landmarks[u].cartesian_end(); ++it)
- ofs << *it << " ";
- ofs << "\n";
- for (auto it = landmarks[v].cartesian_begin(); it != landmarks[v].cartesian_end(); ++it)
- ofs << *it << " ";
- ofs << "\n\n\n";
- }
- }
- ofs.close();
- }
-}
-
-
-/** Function that chooses landmarks from W and place it in the kd-tree L.
- * Note: nbL hould be removed if the code moves to Witness_complex
- */
-void landmark_choice(Point_Vector &W, int nbP, int nbL, Point_Vector& landmarks, std::vector<int>& landmarks_ind)
-{
- std::cout << "Enter landmark choice to kd tree\n";
- //std::vector<Point_d> landmarks;
- int chosen_landmark;
- //std::pair<Point_etiquette_map::iterator,bool> res = std::make_pair(L_i.begin(),false);
- Point_d* p;
- CGAL::Random rand;
- for (int i = 0; i < nbL; i++)
- {
- // while (!res.second)
- // {
- do chosen_landmark = rand.get_int(0,nbP);
- while (std::find(landmarks_ind.begin(), landmarks_ind.end(), chosen_landmark) != landmarks_ind.end());
- //rand++;
- //std::cout << "Chose " << chosen_landmark << std::endl;
- p = &W[chosen_landmark];
- //L_i.emplace(chosen_landmark,i);
- // }
- landmarks.push_back(*p);
- landmarks_ind.push_back(chosen_landmark);
- //std::cout << "Added landmark " << chosen_landmark << std::endl;
- }
- }
-
-
-void landmarks_to_witness_complex(Point_Vector &W, Point_Vector& landmarks, std::vector<int>& landmarks_ind, FT alpha)
-{
- //********************Preface: origin point
- unsigned D = W[0].size();
- std::vector<FT> orig_vector;
- for (unsigned i = 0; i < D; i++)
- orig_vector.push_back(0);
- Point_d origin(orig_vector);
- //Distance dist;
- //dist.transformed_distance(0,1);
- //******************** Constructing a WL matrix
- int nbP = W.size();
- int nbL = landmarks.size();
- STraits traits(&(landmarks[0]));
- Euclidean_distance ed;
- std::vector< std::vector <int> > WL(nbP);
- std::vector< std::vector< typename std::vector<int>::iterator > > ope_limits(nbP);
- Tree L(boost::counting_iterator<std::ptrdiff_t>(0),
- boost::counting_iterator<std::ptrdiff_t>(nbL),
- typename Tree::Splitter(),
- traits);
-
- std::cout << "Enter (D+1) nearest landmarks\n";
- //std::cout << "Size of the tree is " << L.size() << std::endl;
- for (int i = 0; i < nbP; i++)
- {
- //std::cout << "Entered witness number " << i << std::endl;
- Point_d& w = W[i];
- std::queue< typename std::vector<int>::iterator > ope_queue; // queue of points at (1+epsilon) distance to current landmark
- Neighbor_search search(L, w, FT(0), true, CGAL::Distance_adapter<std::ptrdiff_t,Point_d*,Euclidean_distance>(&(landmarks[0])));
- Neighbor_search::iterator search_it = search.begin();
-
- //Incremental search and filling WL
- while (WL[i].size() < D)
- WL[i].push_back((search_it++)->first);
- FT dtow = ed.transformed_distance(w, landmarks[WL[i][D-1]]);
- while (search_it->second < dtow + alpha)
- WL[i].push_back((search_it++)->first);
-
- //Filling the (1+epsilon)-limits table
- for (std::vector<int>::iterator wl_it = WL[i].begin(); wl_it != WL[i].end(); ++wl_it)
- {
- ope_queue.push(wl_it);
- FT d_to_curr_l = ed.transformed_distance(w, landmarks[*wl_it]);
- //std::cout << "d_to_curr_l=" << d_to_curr_l << std::endl;
- //std::cout << "d_to_front+alpha=" << d_to_curr_l << std::endl;
- while (d_to_curr_l > alpha + ed.transformed_distance(w, landmarks[*(ope_queue.front())]))
- {
- ope_limits[i].push_back(wl_it);
- ope_queue.pop();
- }
- }
- while (ope_queue.size() > 0)
- {
- ope_limits[i].push_back(WL[i].end());
- ope_queue.pop();
- }
- //std::cout << "Safely constructed a point\n";
- ////Search D+1 nearest neighbours from the tree of landmarks L
- /*
- if (w[0]>0.95)
- std::cout << i << std::endl;
- */
- //K_neighbor_search search(L, w, D, FT(0), true,
- // CGAL::Distance_adapter<std::ptrdiff_t,Point_d*,Euclidean_distance>(&(landmarks[0])) );
- //std::cout << "Safely found nearest landmarks\n";
- /*
- for(K_neighbor_search::iterator it = search.begin(); it != search.end(); ++it)
- {
- //std::cout << "Entered KNN_it with point at distance " << it->second << "\n";
- //Point_etiquette_map::iterator itm = L_i.find(it->first);
- //assert(itm != L_i.end());
- //std::cout << "Entered KNN_it with point at distance " << it->second << "\n";
- WL[i].push_back(it->first);
- //std::cout << "ITFIRST " << it->first << std::endl;
- //std::cout << i << " " << it->first << ": " << it->second << std::endl;
- }
- */
- }
- //std::cout << "\n";
-
- //std::string out_file = "wl_result";
- write_wl("wl_result",WL);
- write_rl("rl_result",ope_limits);
-
- //******************** Constructng a witness complex
- std::cout << "Entered witness complex construction\n";
- Witness_complex<> witnessComplex;
- witnessComplex.setNbL(nbL);
- witnessComplex.relaxed_witness_complex(WL, ope_limits);
- char buffer[100];
- int i = sprintf(buffer,"stree_result.txt");
-
- if (i >= 0)
- {
- std::string out_file = (std::string)buffer;
- std::ofstream ofs (out_file, std::ofstream::out);
- witnessComplex.st_to_file(ofs);
- ofs.close();
- }
- write_edges("landmarks/edges", witnessComplex, landmarks);
- std::cout << Distance().transformed_distance(Point_d(std::vector<double>({0.1,0.1})), Point_d(std::vector<double>({1.9,1.9}))) << std::endl;
-}
-
-
-int main (int argc, char * const argv[])
-{
-
- if (argc != 5)
- {
- std::cerr << "Usage: " << argv[0]
- << " nbP nbL dim alpha\n";
- return 0;
- }
- /*
- boost::filesystem::path p;
- for (; argc > 2; --argc, ++argv)
- p /= argv[1];
- */
-
- int nbP = atoi(argv[1]);
- int nbL = atoi(argv[2]);
- int dim = atoi(argv[3]);
- double alpha = atof(argv[4]);
- //clock_t start, end;
- //Construct the Simplex Tree
- Witness_complex<> witnessComplex;
-
- std::cout << "Let the carnage begin!\n";
- Point_Vector point_vector;
- //read_points_cust(file_name, point_vector);
- generate_points_sphere(point_vector, nbP, dim);
- /*
- for (auto &p: point_vector)
- {
- assert(std::count(point_vector.begin(),point_vector.end(),p) == 1);
- }
- */
- //std::cout << "Successfully read the points\n";
- //witnessComplex.setNbL(nbL);
- Point_Vector L;
- std::vector<int> chosen_landmarks;
- landmark_choice(point_vector, nbP, nbL, L, chosen_landmarks);
- //start = clock();
-
- write_points("landmarks/initial_pointset",point_vector);
- write_points("landmarks/initial_landmarks",L);
-
- landmarks_to_witness_complex(point_vector, L, chosen_landmarks, alpha);
- //end = clock();
-
- /*
- std::cout << "Landmark choice took "
- << (double)(end-start)/CLOCKS_PER_SEC << " s. \n";
- start = clock();
- witnessComplex.witness_complex(WL);
- //
- end = clock();
- std::cout << "Howdy world! The process took "
- << (double)(end-start)/CLOCKS_PER_SEC << " s. \n";
- */
-
- /*
- out_file = "output/"+file_name+"_"+argv[2]+".stree";
- std::ofstream ofs (out_file, std::ofstream::out);
- witnessComplex.st_to_file(ofs);
- ofs.close();
-
- out_file = "output/"+file_name+"_"+argv[2]+".badlinks";
- std::ofstream ofs2(out_file, std::ofstream::out);
- witnessComplex.write_bad_links(ofs2);
- ofs2.close();
- */
-}