1 files changed, 0 insertions, 55 deletions
diff --git a/src/Persistence_representations/example/persistence_heat_maps_exact.cpp b/src/Persistence_representations/example/persistence_heat_maps_exact.cpp
deleted file mode 100644
index f15b710d..00000000
--- a/src/Persistence_representations/example/persistence_heat_maps_exact.cpp
+++ /dev/null
@@ -1,55 +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):       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 Persistence_diagram = Gudhi::Persistence_representations::Persistence_diagram;
-using PI = Gudhi::Persistence_representations::Persistence_heat_maps_exact;
-using Weight = std::function<double (std::pair<double,double>) >;
-
-int main(int argc, char** argv) {
-
-  Persistence_diagram 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;
-}