1 files changed, 54 insertions, 0 deletions
diff --git a/src/Persistence_representations/example/persistence_heat_maps_exact.cpp b/src/Persistence_representations/example/persistence_heat_maps_exact.cpp
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+++ b/src/Persistence_representations/example/persistence_heat_maps_exact.cpp
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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):       Mathieu Carriere
+ *
+ *    Copyright (C) 2018  INRIA (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 <gudhi/Persistence_heat_maps_exact.h>
+#include <gudhi/Weight_functions.h>
+
+#include <iostream>
+#include <vector>
+#include <utility>
+#include <string>
+
+using PI = Gudhi::Persistence_representations::Persistence_heat_maps_exact;
+using Weight = std::function<double (std::pair<double,double>) >;
+
+int main(int argc, char** argv) {
+
+  std::vector<std::pair<double, double> > persistence;
+
+  persistence.push_back(std::make_pair(1, 2));
+  persistence.push_back(std::make_pair(6, 8));
+  persistence.push_back(std::make_pair(0, 4));
+  persistence.push_back(std::make_pair(3, 8));
+
+  double min_x = 0.0; double max_x = 10.0; int res_x = 100; double min_y = 0.0; double max_y = 10.0; int res_y = 100; double sigma = 1.0; Weight weight = Gudhi::Persistence_representations::linear_weight;
+
+  PI pim(persistence, min_x, max_x, res_x, min_y, max_y, res_y, weight, sigma);
+  std::vector<std::vector<double> > P = pim.vectorize();
+
+  for(int i = 0; i < res_y; i++){
+    for(int j = 0; j < res_x; j++) std::cout << P[i][j] << " ";
+    std::cout << std::endl;
+  }
+
+  return 0;
+}