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diff --git a/src/Bitmap_cubical_complex/example/Random_bitmap_cubical_complex.cpp b/src/Bitmap_cubical_complex/example/Random_bitmap_cubical_complex.cpp
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+++ b/src/Bitmap_cubical_complex/example/Random_bitmap_cubical_complex.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):       Pawel Dlotko
+ *
+ *    Copyright (C) 2015  INRIA Saclay (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/>.
+ */
+
+
+//for persistence algorithm
+#include "gudhi/reader_utils.h"
+#include "gudhi/Bitmap_cubical_complex.h"
+#include "gudhi/Persistent_cohomology.h"
+
+#include <boost/program_options.hpp>
+
+using namespace Gudhi;
+using namespace Gudhi::persistent_cohomology;
+
+//standard stuff
+#include <iostream>
+#include <sstream>
+#include <vector>
+#include <cstdlib>
+#include <ctime>
+
+using namespace std;
+
+int main(int argc, char** argv) {
+  srand(time(0));
+
+  cout << "This program computes persistent homology, by using Bitmap_cubical_complex class, of cubical complexes. \
+The first parameter of the program is the dimension D of the cubical complex. The next D parameters are number of top dimensional cubes in each dimension of the cubical complex.\
+The program will create random cubical complex of that sizes and compute persistent homology of it." << endl;
+
+  int p = 2;
+  double min_persistence = 0;
+
+  size_t dimensionOfBitmap = (size_t) atoi(argv[1]);
+  std::vector< unsigned > sizes;
+  size_t multipliers = 1;
+  for (size_t dim = 0; dim != dimensionOfBitmap; ++dim) {
+    unsigned sizeInThisDimension = (unsigned) atoi(argv[2 + dim]);
+    sizes.push_back(sizeInThisDimension);
+    multipliers *= sizeInThisDimension;
+  }
+
+  std::vector< double > data;
+  for (size_t i = 0; i != multipliers; ++i) {
+    data.push_back(rand() / (double) RAND_MAX);
+  }
+
+
+
+  Bitmap_cubical_complex<double> b(sizes, data);
+
+
+  // Compute the persistence diagram of the complex
+  persistent_cohomology::Persistent_cohomology< Bitmap_cubical_complex<double>, Field_Zp > pcoh(b);
+  pcoh.init_coefficients(p); //initilizes the coefficient field for homology
+  pcoh.compute_persistent_cohomology(min_persistence);
+
+
+  stringstream ss;
+  ss << "randomComplex_persistence";
+  std::ofstream out((char*) ss.str().c_str());
+  pcoh.output_diagram(out);
+  out.close();
+
+  return 0;
+}