/* 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 * * Modification(s): * - YYYY/MM Author: Description of the modification */ #ifndef INCLUDE_RIPS_COMPLEX_INTERFACE_H_ #define INCLUDE_RIPS_COMPLEX_INTERFACE_H_ #include #include #include #include #include #include "Simplex_tree_interface.h" #include #include #include // std::pair #include namespace Gudhi { namespace rips_complex { class Rips_complex_interface { using Point_d = std::vector; using Distance_matrix = std::vector::Filtration_value>>; public: void init_points(const std::vector>& points, double threshold) { rips_complex_.emplace(points, threshold, Gudhi::Euclidean_distance()); } void init_matrix(const std::vector>& matrix, double threshold) { rips_complex_.emplace(matrix, threshold); } void init_points_sparse(const std::vector>& points, double threshold, double epsilon) { sparse_rips_complex_.emplace(points, Gudhi::Euclidean_distance(), epsilon, -std::numeric_limits::infinity(), threshold); } void init_matrix_sparse(const std::vector>& matrix, double threshold, double epsilon) { sparse_rips_complex_.emplace(matrix, epsilon, -std::numeric_limits::infinity(), threshold); } void create_simplex_tree(Simplex_tree_interface<>* simplex_tree, int dim_max) { if (rips_complex_) rips_complex_->create_complex(*simplex_tree, dim_max); else sparse_rips_complex_->create_complex(*simplex_tree, dim_max); simplex_tree->initialize_filtration(); } private: // std::variant would work, but we don't require C++17 yet, and boost::variant is not super convenient. // Anyway, storing a graph would make more sense. Or changing the interface completely so there is no such storage. boost::optional::Filtration_value>> rips_complex_; boost::optional::Filtration_value>> sparse_rips_complex_; }; } // namespace rips_complex } // namespace Gudhi #endif // INCLUDE_RIPS_COMPLEX_INTERFACE_H_