diff options
author | vrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb> | 2016-09-28 11:15:34 +0000 |
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committer | vrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb> | 2016-09-28 11:15:34 +0000 |
commit | ca6b3d72f2114cdd2d0899fd44dba19303dd3bb2 (patch) | |
tree | bd91fbacb7e63277c5e0ab67d8f5960269941101 /src | |
parent | 2b5800ffe72016dd509028196ddcc36904e49829 (diff) |
Add rips complex module and first modification step
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/rips_complex_module@1577 636b058d-ea47-450e-bf9e-a15bfbe3eedb
Former-commit-id: fc949570c6cffa4756f84a15c41fadc8c45b2af2
Diffstat (limited to 'src')
-rw-r--r-- | src/Persistent_cohomology/example/rips_multifield_persistence.cpp | 78 | ||||
-rw-r--r-- | src/Persistent_cohomology/example/rips_persistence.cpp | 79 | ||||
-rw-r--r-- | src/Rips_complex/concept/Simplicial_complex_for_rips.h | 53 | ||||
-rw-r--r-- | src/Rips_complex/doc/Intro_rips_complex.h | 104 | ||||
-rw-r--r-- | src/Rips_complex/doc/rips_complex_representation.ipe | 326 | ||||
-rw-r--r-- | src/Rips_complex/doc/rips_complex_representation.png | bin | 0 -> 15677 bytes | |||
-rw-r--r-- | src/Rips_complex/doc/rips_one_skeleton.ipe | 326 | ||||
-rw-r--r-- | src/Rips_complex/doc/rips_one_skeleton.png | bin | 0 -> 47651 bytes | |||
-rw-r--r-- | src/Rips_complex/example/CMakeLists.txt | 8 | ||||
-rw-r--r-- | src/Rips_complex/example/example_rips_complex_from_off_file.cpp | 71 | ||||
-rw-r--r-- | src/Rips_complex/include/gudhi/Rips_complex.h | 154 | ||||
-rw-r--r-- | src/Simplex_tree/include/gudhi/Simplex_tree.h | 2 | ||||
-rw-r--r-- | src/common/include/gudhi/distance_functions.h | 2 | ||||
-rw-r--r-- | src/common/include/gudhi/graph_simplicial_complex.h | 8 |
14 files changed, 1115 insertions, 96 deletions
diff --git a/src/Persistent_cohomology/example/rips_multifield_persistence.cpp b/src/Persistent_cohomology/example/rips_multifield_persistence.cpp index c5cd775d..d4a07bb6 100644 --- a/src/Persistent_cohomology/example/rips_multifield_persistence.cpp +++ b/src/Persistent_cohomology/example/rips_multifield_persistence.cpp @@ -20,8 +20,7 @@ * along with this program. If not, see <http://www.gnu.org/licenses/>. */ -#include <gudhi/reader_utils.h> -#include <gudhi/graph_simplicial_complex.h> +#include <gudhi/Rips_complex.h> #include <gudhi/distance_functions.h> #include <gudhi/Simplex_tree.h> #include <gudhi/Persistent_cohomology.h> @@ -32,14 +31,11 @@ #include <string> #include <vector> -using namespace Gudhi; -using namespace Gudhi::persistent_cohomology; -typedef int Vertex_handle; typedef double Filtration_value; void program_options(int argc, char * argv[] - , std::string & filepoints + , std::string & off_file_points , std::string & filediag , Filtration_value & threshold , int & dim_max @@ -48,7 +44,7 @@ void program_options(int argc, char * argv[] , Filtration_value & min_persistence); int main(int argc, char * argv[]) { - std::string filepoints; + std::string off_file_points; std::string filediag; Filtration_value threshold; int dim_max; @@ -56,49 +52,43 @@ int main(int argc, char * argv[]) { int max_p; Filtration_value min_persistence; - program_options(argc, argv, filepoints, filediag, threshold, dim_max, min_p, max_p, min_persistence); + program_options(argc, argv, off_file_points, filediag, threshold, dim_max, min_p, max_p, min_persistence); - // Extract the points from the file filepoints - typedef std::vector<double> Point_t; - std::vector< Point_t > points; - read_points(filepoints, points); - - // Compute the proximity graph of the points - Graph_t prox_graph = compute_proximity_graph(points, threshold - , euclidean_distance<Point_t>); + Gudhi::rips_complex::Rips_complex<> rips_complex_from_file(off_file_points); // Construct the Rips complex in a Simplex Tree - typedef Simplex_tree<Simplex_tree_options_fast_persistence> ST; - ST st; - // insert the proximity graph in the simplex tree - st.insert_graph(prox_graph); - // expand the graph until dimension dim_max - st.expansion(dim_max); - - // Sort the simplices in the order of the filtration - st.initialize_filtration(); - - // Compute the persistence diagram of the complex - Persistent_cohomology<ST, Multi_field > pcoh(st); - // initializes the coefficient field for homology - pcoh.init_coefficients(min_p, max_p); - // compute persistent homology, disgarding persistent features of life shorter than min_persistence - 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(); + using Simplex_tree = Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_fast_persistence>; + Simplex_tree simplex_tree; + + if (rips_complex_from_file.create_complex(simplex_tree, threshold, dim_max, euclidean_distance<std::vector<double>>)) { + 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(); + + using Multi_field = Gudhi::persistent_cohomology::Multi_field; + // Compute the persistence diagram of the complex + Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Multi_field > pcoh(simplex_tree); + // initializes the coefficient field for homology + pcoh.init_coefficients(min_p, max_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 & filepoints + , std::string & off_file_points , std::string & filediag , Filtration_value & threshold , int & dim_max @@ -108,8 +98,8 @@ void program_options(int argc, char * argv[] namespace po = boost::program_options; po::options_description hidden("Hidden options"); hidden.add_options() - ("input-file", po::value<std::string>(&filepoints), - "Name of file containing a point set. Format is one point per line: X1 ... Xd \n"); + ("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"); visible.add_options() diff --git a/src/Persistent_cohomology/example/rips_persistence.cpp b/src/Persistent_cohomology/example/rips_persistence.cpp index cab49395..e3ab5927 100644 --- a/src/Persistent_cohomology/example/rips_persistence.cpp +++ b/src/Persistent_cohomology/example/rips_persistence.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see <http://www.gnu.org/licenses/>. */ -#include <gudhi/reader_utils.h> +#include <gudhi/Rips_complex.h> #include <gudhi/graph_simplicial_complex.h> #include <gudhi/distance_functions.h> #include <gudhi/Simplex_tree.h> @@ -32,14 +32,10 @@ #include <vector> #include <limits> // infinity -using namespace Gudhi; -using namespace Gudhi::persistent_cohomology; - -typedef int Vertex_handle; typedef double Filtration_value; void program_options(int argc, char * argv[] - , std::string & filepoints + , std::string & off_file_points , std::string & filediag , Filtration_value & threshold , int & dim_max @@ -47,59 +43,50 @@ void program_options(int argc, char * argv[] , Filtration_value & min_persistence); int main(int argc, char * argv[]) { - std::string filepoints; + std::string off_file_points; std::string filediag; Filtration_value threshold; int dim_max; int p; Filtration_value min_persistence; - program_options(argc, argv, filepoints, filediag, threshold, dim_max, p, min_persistence); - - // Extract the points from the file filepoints - typedef std::vector<double> Point_t; - std::vector< Point_t > points; - read_points(filepoints, points); + program_options(argc, argv, off_file_points, filediag, threshold, dim_max, p, min_persistence); - // Compute the proximity graph of the points - Graph_t prox_graph = compute_proximity_graph(points, threshold - , euclidean_distance<Point_t>); + Gudhi::rips_complex::Rips_complex<> rips_complex_from_file(off_file_points); // Construct the Rips complex in a Simplex Tree - typedef Simplex_tree<Simplex_tree_options_fast_persistence> ST; - ST st; - // insert the proximity graph in the simplex tree - st.insert_graph(prox_graph); - // expand the graph until dimension dim_max - st.expansion(dim_max); - - std::cout << "The complex contains " << st.num_simplices() << " simplices \n"; - std::cout << " and has dimension " << st.dimension() << " \n"; - - // Sort the simplices in the order of the filtration - st.initialize_filtration(); - - // Compute the persistence diagram of the complex - persistent_cohomology::Persistent_cohomology<ST, Field_Zp > pcoh(st); - // 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(); + using Simplex_tree = Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_fast_persistence>; + Simplex_tree simplex_tree; + + if (rips_complex_from_file.create_complex(simplex_tree, threshold, dim_max, euclidean_distance<std::vector<double>>)) { + 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(); + + using Field_Zp = Gudhi::persistent_cohomology::Field_Zp; + // Compute the persistence diagram of the complex + Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Field_Zp > 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 & filepoints + , std::string & off_file_points , std::string & filediag , Filtration_value & threshold , int & dim_max @@ -108,7 +95,7 @@ void program_options(int argc, char * argv[] namespace po = boost::program_options; po::options_description hidden("Hidden options"); hidden.add_options() - ("input-file", po::value<std::string>(&filepoints), + ("input-file", po::value<std::string>(&off_file_points), "Name of file containing a point set. Format is one point per line: X1 ... Xd "); po::options_description visible("Allowed options", 100); diff --git a/src/Rips_complex/concept/Simplicial_complex_for_rips.h b/src/Rips_complex/concept/Simplicial_complex_for_rips.h new file mode 100644 index 00000000..470860e9 --- /dev/null +++ b/src/Rips_complex/concept/Simplicial_complex_for_rips.h @@ -0,0 +1,53 @@ +/* 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): Vincent Rouvreau + * + * Copyright (C) 2016 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/>. + */ + +#ifndef CONCEPT_RIPS_COMPLEX_SIMPLICIAL_COMPLEX_FOR_RIPS_H_ +#define CONCEPT_RIPS_COMPLEX_SIMPLICIAL_COMPLEX_FOR_RIPS_H_ + +namespace Gudhi { + +namespace rips_complex { + +/** \brief The concept SimplicialComplexForRips describes the requirements for a type to implement a simplicial + * complex, that can be created from a `Rips_complex`. + */ +struct SimplicialComplexForRips { + /** Handle to specify the simplex filtration value. */ + typedef unspecified Filtration_value; + + /** Returns the number of vertices in the simplicial complex. */ + std::size_t num_vertices(); + + /** \brief Inserts a a given range 'OneSkeletonGraph' in the simplicial complex. */ + template<class OneSkeletonGraph> + void insert_graph(const OneSkeletonGraph& skel_graph); + + /** \brief Expands the simplicial complex containing only its one skeleton until a given maximal dimension. */ + void expansion(int max_dim); + +}; + +} // namespace rips_complex + +} // namespace Gudhi + +#endif // CONCEPT_RIPS_COMPLEX_SIMPLICIAL_COMPLEX_FOR_RIPS_H_ diff --git a/src/Rips_complex/doc/Intro_rips_complex.h b/src/Rips_complex/doc/Intro_rips_complex.h new file mode 100644 index 00000000..85108168 --- /dev/null +++ b/src/Rips_complex/doc/Intro_rips_complex.h @@ -0,0 +1,104 @@ +/* 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): Clément Maria & Vincent Rouvreau + * + * Copyright (C) 2015 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/>. + */ + +#ifndef DOC_RIPS_COMPLEX_INTRO_RIPS_COMPLEX_H_ +#define DOC_RIPS_COMPLEX_INTRO_RIPS_COMPLEX_H_ + +namespace Gudhi { + +namespace rips_complex { + +/** \defgroup rips_complex Rips complex + * + * \author Clément Maria & Vincent Rouvreau + * + * @{ + * + * \section definition Definition + * + * Rips_complex + * <a target="_blank" href="https://en.wikipedia.org/wiki/Vietoris%E2%80%93Rips_complex">(Wikipedia)</a> is a + * <a target="_blank" href="https://en.wikipedia.org/wiki/Simplicial_complex">simplicial complex</a> + * constructed from a one skeleton graph. + * + * The filtration value of each edge is computed from a user-given distance function. + * + * All edges that have a filtration value strictly greater than a given threshold value are not inserted into + * the complex. + * + * When creating a simplicial complex from this one skeleton graph, rips inserts the one skeleton graph into the data + * structure, and then expands the simplicial when required. + * + * \image html "rips_complex_representation.png" "Rips-complex one skeleton graph representation" + * + * On this example, as edges (4,5), (4,6) and (5,6) are in the complex, simplex (4,5,6) is added with the filtration + * value set with \f$max(filtration(4,5), filtration(4,6), filtration(5,6))\f$. + * And so on for simplex (0,1,2,3). + * + * \section ripspointsexample Example from points + * + * This example builds the one skeleton graph from the given points, threshold value, and distance function. + * Then it creates a `Simplex_tree` with it. + * + * Then, it is asked to display information about the simplicial complex. + * + * \include Rips_complex/example_rips_complex_from_points.cpp + * + * When launching: + * + * \code $> ./ripspoints + * \endcode + * + * the program output is: + * + * \include Rips_complex/rips_points_for_doc_12_2.txt + * + * \section offexample Example from OFF file + * + * This example builds the one skeleton graph from the given points in an OFF file, threshold value, and distance + * function. + * Then it creates a `Simplex_tree` with it. + * + * + * Then, it is asked to display information about the rips complex. + * + * \include Rips_complex/example_rips_complex_from_off_file.cpp + * + * When launching: + * + * \code $> ./ripsoffreader ../../data/points/alphacomplexdoc.off 12.0 3 + * \endcode + * + * the program output is: + * + * \include Rips_complex/rips_points_for_doc_12_3.txt + * + * \copyright GNU General Public License v3. + * \verbatim Contact: gudhi-users@lists.gforge.inria.fr \endverbatim + */ +/** @} */ // end defgroup rips_complex + +} // namespace rips_complex + +} // namespace Gudhi + +#endif // DOC_RIPS_COMPLEX_INTRO_RIPS_COMPLEX_H_ diff --git a/src/Rips_complex/doc/rips_complex_representation.ipe b/src/Rips_complex/doc/rips_complex_representation.ipe new file mode 100644 index 00000000..7f6028f4 --- /dev/null +++ b/src/Rips_complex/doc/rips_complex_representation.ipe @@ -0,0 +1,326 @@ 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b/src/Rips_complex/example/CMakeLists.txt @@ -0,0 +1,8 @@ +cmake_minimum_required(VERSION 2.6) +project(Rips_complex_examples) + +add_executable ( ripsoffreader example_rips_complex_from_off_file.cpp ) +target_link_libraries(ripsoffreader ${Boost_SYSTEM_LIBRARY}) +if (TBB_FOUND) + target_link_libraries(ripsoffreader ${TBB_LIBRARIES}) +endif() diff --git a/src/Rips_complex/example/example_rips_complex_from_off_file.cpp b/src/Rips_complex/example/example_rips_complex_from_off_file.cpp new file mode 100644 index 00000000..82baa68e --- /dev/null +++ b/src/Rips_complex/example/example_rips_complex_from_off_file.cpp @@ -0,0 +1,71 @@ +#include <gudhi/Rips_complex.h> +// to construct Rips_complex from a OFF file of points +#include <gudhi/Points_off_io.h> +// to construct a simplex_tree from rips complex +#include <gudhi/Simplex_tree.h> +#include <gudhi/distance_functions.h> + +#include <iostream> +#include <string> + +void usage(int nbArgs, char * const progName) { + std::cerr << "Error: Number of arguments (" << nbArgs << ") is not correct\n"; + std::cerr << "Usage: " << progName << " filename.off threshold dim_max [ouput_file.txt]\n"; + std::cerr << " i.e.: " << progName << " ../../data/points/alphacomplexdoc.off 60.0\n"; + exit(-1); // ----- >> +} + +int main(int argc, char **argv) { + if ((argc != 4) && (argc != 5)) usage(argc, (argv[0] - 1)); + + std::string off_file_name(argv[1]); + double threshold = atof(argv[2]); + int dim_max = atoi(argv[3]); + + // Type definitions + using Point = std::vector<float>; + using Simplex_tree = Gudhi::Simplex_tree<>; + using Rips_complex = Gudhi::rips_complex::Rips_complex<Simplex_tree::Filtration_value>; + + // ---------------------------------------------------------------------------- + // Init of a rips complex from an OFF file + // ---------------------------------------------------------------------------- + Gudhi::Points_off_reader<Point> off_reader(off_file_name); + Rips_complex rips_complex_from_file(off_reader.get_point_cloud(), threshold, + euclidean_distance<Point>); + + std::streambuf* streambufffer; + std::ofstream ouput_file_stream; + + if (argc == 5) { + ouput_file_stream.open(std::string(argv[4])); + streambufffer = ouput_file_stream.rdbuf(); + } else { + streambufffer = std::cout.rdbuf(); + } + + Simplex_tree simplex; + if (rips_complex_from_file.create_complex(simplex, dim_max)) { + std::ostream output_stream(streambufffer); + + // ---------------------------------------------------------------------------- + // Display information about the rips complex + // ---------------------------------------------------------------------------- + output_stream << "Rips complex is of dimension " << simplex.dimension() << + " - " << simplex.num_simplices() << " simplices - " << + simplex.num_vertices() << " vertices." << std::endl; + + output_stream << "Iterator on rips complex simplices in the filtration order, with [filtration value]:" << + std::endl; + for (auto f_simplex : simplex.filtration_simplex_range()) { + output_stream << " ( "; + for (auto vertex : simplex.simplex_vertex_range(f_simplex)) { + output_stream << vertex << " "; + } + output_stream << ") -> " << "[" << simplex.filtration(f_simplex) << "] "; + output_stream << std::endl; + } + } + ouput_file_stream.close(); + return 0; +} diff --git a/src/Rips_complex/include/gudhi/Rips_complex.h b/src/Rips_complex/include/gudhi/Rips_complex.h new file mode 100644 index 00000000..10f674e5 --- /dev/null +++ b/src/Rips_complex/include/gudhi/Rips_complex.h @@ -0,0 +1,154 @@ +/* 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): Clément Maria & Vincent Rouvreau + * + * Copyright (C) 2016 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/>. + */ + +#ifndef RIPS_COMPLEX_H_ +#define RIPS_COMPLEX_H_ + +#include <gudhi/Debug_utils.h> +#include <gudhi/graph_simplicial_complex.h> + +#include <boost/graph/adjacency_list.hpp> + +#include <iostream> +#include <vector> +#include <map> +#include <string> +#include <limits> // for numeric_limits +#include <utility> // for pair<> + + +namespace Gudhi { + +namespace rips_complex { + +/** + * \class Rips_complex + * \brief Rips complex data structure. + * + * \ingroup rips_complex + * + * \details + * The data structure is a 1-skeleton graph constructed from a point cloud, containing edges when the edge length is + * less or equal to a given threshold. Edge length is computed from a user given function. + * + * The complex is a template class requiring a Filtration_value type. + * + * \remark When Alpha_complex is constructed with an infinite value of alpha, the complex is a Delaunay complex. + * + * \tparam Filtration_value must meet `SimplicialComplexForRips` concept. + */ +template<typename Filtration_value> +class Rips_complex { + private: + typedef typename boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS + , boost::property < vertex_filtration_t, Filtration_value > + , boost::property < edge_filtration_t, Filtration_value >> Graph_t; + + typedef int Vertex_handle; + + public: + /** \brief Rips_complex constructor from a list of points. + * + * @param[in] points Range of points. + * @param[in] threshold rips value. + * @param[in] distance distance function that returns a Filtration_value from 2 given points. + * + * The type InputPointRange must be a range for which std::begin and std::end return input iterators on a point. + */ + template<typename InputPointRange, typename Point_d > + Rips_complex(const InputPointRange& points, Filtration_value threshold, + Filtration_value distance(const Point_d& p1,const Point_d& p2)) { + std::vector< std::pair< Vertex_handle, Vertex_handle > > edges; + std::vector< Filtration_value > edges_fil; + std::map< Vertex_handle, Filtration_value > vertices; + + // Compute the proximity graph of the points. + // If points contains n elements, the proximity graph is the graph with n vertices, and an edge [u,v] iff the + // distance function between points u and v is smaller than threshold. + // -------------------------------------------------------------------------------------------- + // Creates the vector of edges and its filtration values (returned by distance function) + Vertex_handle idx_u, idx_v; + Filtration_value fil; + idx_u = 0; + for (auto it_u = std::begin(points); it_u != std::end(points); ++it_u) { + idx_v = idx_u + 1; + for (auto it_v = it_u + 1; it_v != std::end(points); ++it_v, ++idx_v) { + fil = distance(*it_u, *it_v); + if (fil <= threshold) { + edges.emplace_back(idx_u, idx_v); + edges_fil.push_back(fil); + } + } + ++idx_u; + } + + // -------------------------------------------------------------------------------------------- + // Creates the proximity graph from edges and sets the property with the filtration value. + // Number of points is labeled from 0 to idx_u-1 + rips_skeleton_graph_ = Graph_t(edges.begin() , edges.end() , edges_fil.begin() , idx_u); + + auto vertex_prop = boost::get(vertex_filtration_t(), rips_skeleton_graph_); + + using vertex_iterator = typename boost::graph_traits<Graph_t>::vertex_iterator; + vertex_iterator vi, vi_end; + for (std::tie(vi, vi_end) = boost::vertices(rips_skeleton_graph_); + vi != vi_end; ++vi) { + boost::put(vertex_prop, *vi, 0.); + } + + } + + /** \brief Initializes the simplicial complex from the 1-skeleton graph and expands it until a given maximal + * dimension. + * + * \tparam SimplicialComplexForRips must meet `SimplicialComplexForRips` concept. + * + * @param[in] complex SimplicialComplexForRips to be created. + * @param[in] dim_max graph expansion for rips until this given maximal dimension. + * + * @return true if creation succeeds, false otherwise. + * + */ + template <typename SimplicialComplexForRips> + bool create_complex(SimplicialComplexForRips& complex, int dim_max) { + if (complex.num_vertices() > 0) { + std::cerr << "Rips_complex create_complex - complex is not empty\n"; + return false; // ----- >> + } + + // insert the proximity graph in the simplicial complex + complex.insert_graph(rips_skeleton_graph_); + // expand the graph until dimension dim_max + complex.expansion(dim_max); + + // -------------------------------------------------------------------------------------------- + return true; + } + private: + Graph_t rips_skeleton_graph_; +}; + +} // namespace rips_complex + +} // namespace Gudhi + +#endif // RIPS_COMPLEX_H_ diff --git a/src/Simplex_tree/include/gudhi/Simplex_tree.h b/src/Simplex_tree/include/gudhi/Simplex_tree.h index 63e3f0e5..206b2fba 100644 --- a/src/Simplex_tree/include/gudhi/Simplex_tree.h +++ b/src/Simplex_tree/include/gudhi/Simplex_tree.h @@ -28,7 +28,7 @@ #include <gudhi/Simplex_tree/Simplex_tree_iterators.h> #include <gudhi/Simplex_tree/indexing_tag.h> -#include <gudhi/reader_utils.h> +//#include <gudhi/reader_utils.h> #include <gudhi/graph_simplicial_complex.h> #include <gudhi/Debug_utils.h> diff --git a/src/common/include/gudhi/distance_functions.h b/src/common/include/gudhi/distance_functions.h index cd518581..b2726ba8 100644 --- a/src/common/include/gudhi/distance_functions.h +++ b/src/common/include/gudhi/distance_functions.h @@ -29,7 +29,7 @@ * by a range of coordinates. The points are assumed to have * the same dimension. */ template< typename Point > -double euclidean_distance(Point &p1, Point &p2) { +double euclidean_distance(const Point &p1,const Point &p2) { double dist = 0.; auto it1 = p1.begin(); auto it2 = p2.begin(); diff --git a/src/common/include/gudhi/graph_simplicial_complex.h b/src/common/include/gudhi/graph_simplicial_complex.h index 042ef516..773889d9 100644 --- a/src/common/include/gudhi/graph_simplicial_complex.h +++ b/src/common/include/gudhi/graph_simplicial_complex.h @@ -39,14 +39,14 @@ struct vertex_filtration_t { typedef boost::vertex_property_tag kind; }; -typedef int Vertex_handle; +/*typedef int Vertex_handle; typedef double Filtration_value; typedef boost::adjacency_list < boost::vecS, boost::vecS, boost::undirectedS , boost::property < vertex_filtration_t, Filtration_value > , boost::property < edge_filtration_t, Filtration_value > > Graph_t; typedef std::pair< Vertex_handle, Vertex_handle > Edge_t; - +*/ /** \brief Output the proximity graph of the points. * * If points contains n elements, the proximity graph is the graph @@ -56,7 +56,7 @@ typedef std::pair< Vertex_handle, Vertex_handle > Edge_t; * The type PointCloud furnishes .begin() and .end() methods, that return * iterators with value_type Point. */ -template< typename PointCloud +/*template< typename PointCloud , typename Point > Graph_t compute_proximity_graph(PointCloud &points , Filtration_value threshold @@ -94,6 +94,6 @@ Graph_t compute_proximity_graph(PointCloud &points } return skel_graph; -} +}*/ #endif // GRAPH_SIMPLICIAL_COMPLEX_H_ |