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-rw-r--r--utilities/Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp81
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diff --git a/utilities/Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp b/utilities/Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp
deleted file mode 100644
index 99b0bd17..00000000
--- a/utilities/Persistence_representations/persistence_heat_maps/create_p_h_m_weighted_by_distance_from_diagonal.cpp
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@@ -1,81 +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): Pawel Dlotko
- *
- * 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/>.
- */
-
-#include <gudhi/Persistence_heat_maps.h>
-
-#include <iostream>
-#include <sstream>
-#include <limits>
-#include <vector>
-
-using distance_from_diagonal_scaling = Gudhi::Persistence_representations::distance_from_diagonal_scaling;
-using Persistence_heat_maps = Gudhi::Persistence_representations::Persistence_heat_maps<distance_from_diagonal_scaling>;
-
-int main(int argc, char** argv) {
- std::cout << "This program creates persistence heat map files (*.mps) of persistence diagrams files (*.pers) "
- << "provided as an input.The Gaussian kernels are weighted by the distance of a center from the "
- << "diagonal.\n"
- << "The first parameter of a program is an integer, a size of a grid.\n"
- << "The second and third parameters are min and max of the grid. If you want those numbers to be computed "
- << "based on the data, set them both to -1 \n"
- << "The fourth parameter is an integer, the standard deviation of a Gaussian kernel expressed in a number "
- << "of pixels.\n"
- << "The fifth parameter of this program is a dimension of persistence that will be used in creation of "
- << "the persistence heat maps."
- << "If your input files contains persistence pairs of various dimension, as a fifth parameter of the "
- << "procedure please provide the dimension of persistence you want to use."
- << "If in your files there are only birth-death pairs of the same dimension, set the fifth parameter to "
- << "-1.\n"
- << "The remaining parameters are the names of files with persistence diagrams. \n";
-
- if (argc < 7) {
- std::cout << "Wrong parameter list, the program will now terminate \n";
- return 1;
- }
-
- size_t size_of_grid = (size_t)atoi(argv[1]);
- double min_ = atof(argv[2]);
- double max_ = atof(argv[3]);
- size_t stdiv = atof(argv[4]);
-
- unsigned dimension = std::numeric_limits<unsigned>::max();
- int dim = atoi(argv[5]);
- if (dim >= 0) {
- dimension = (unsigned)dim;
- }
-
- std::vector<const char*> filenames;
- for (int i = 6; i != argc; ++i) {
- filenames.push_back(argv[i]);
- }
-
- std::vector<std::vector<double> > filter = Gudhi::Persistence_representations::create_Gaussian_filter(stdiv, 1);
- for (size_t i = 0; i != filenames.size(); ++i) {
- std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl;
- Persistence_heat_maps l(filenames[i], filter, false, size_of_grid, min_, max_, dimension);
-
- std::stringstream ss;
- ss << filenames[i] << ".mps";
- l.print_to_file(ss.str().c_str());
- }
- return 0;
-}