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-rw-r--r--example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp82
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diff --git a/example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp b/example/Bitmap_cubical_complex/Random_bitmap_cubical_complex.cpp
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--- a/example/Bitmap_cubical_complex/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
- *
- * 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>
-
-// standard stuff
-#include <iostream>
-#include <sstream>
-#include <vector>
-
-int main(int argc, char** argv) {
- srand(time(0));
-
- std::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 bitmap. The next D parameters are "
- << "number of top dimensional cubes in each dimension of the bitmap. The program will create random cubical "
- << "complex of that sizes and compute persistent homology of it." << std::endl;
-
- int p = 2;
- double min_persistence = 0;
-
- if (argc < 3) {
- std::cerr << "Wrong number of parameters, the program will now terminate\n";
- return 1;
- }
-
- 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() / static_cast<double>(RAND_MAX));
- }
-
- typedef Gudhi::cubical_complex::Bitmap_cubical_complex_base<double> Bitmap_cubical_complex_base;
- typedef Gudhi::cubical_complex::Bitmap_cubical_complex<Bitmap_cubical_complex_base> Bitmap_cubical_complex;
- Bitmap_cubical_complex b(sizes, data);
-
- // Compute the persistence diagram of the complex
- typedef Gudhi::persistent_cohomology::Field_Zp Field_Zp;
- typedef Gudhi::persistent_cohomology::Persistent_cohomology<Bitmap_cubical_complex, Field_Zp> Persistent_cohomology;
- Persistent_cohomology pcoh(b);
- pcoh.init_coefficients(p); // initializes the coefficient field for homology
- pcoh.compute_persistent_cohomology(min_persistence);
-
- std::stringstream ss;
- ss << "randomComplex_persistence";
- std::ofstream out(ss.str().c_str());
- pcoh.output_diagram(out);
- out.close();
-
- return 0;
-}