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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): Vincent Rouvreau
*
* Copyright (C) 2014 INRIA Sophia Antipolis-Méditerranée (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 <iostream>
#include <ctime>
#include <gudhi/Simplex_tree.h>
#include <gudhi/Witness_complex.h>
using namespace Gudhi;
typedef std::vector< Vertex_handle > typeVectorVertex;
typedef Witness_complex<Simplex_tree<>> WitnessComplex;
//typedef std::pair<typeVectorVertex, Filtration_value> typeSimplex;
//typedef std::pair< Simplex_tree<>::Simplex_handle, bool > typePairSimplexBool;
int main (int argc, char * const argv[])
{
Simplex_tree<> complex;
std::vector< typeVectorVertex > knn;
typeVectorVertex witness0 = {1,0,5,2,6,3,4}; knn.push_back(witness0 );
typeVectorVertex witness1 = {2,6,4,5,0,1,3}; knn.push_back(witness1 );
typeVectorVertex witness2 = {3,4,2,1,5,6,0}; knn.push_back(witness2 );
typeVectorVertex witness3 = {4,2,1,3,5,6,0}; knn.push_back(witness3 );
typeVectorVertex witness4 = {5,1,6,0,2,3,4}; knn.push_back(witness4 );
typeVectorVertex witness5 = {6,0,5,2,1,3,4}; knn.push_back(witness5 );
typeVectorVertex witness6 = {0,5,6,1,2,3,4}; knn.push_back(witness6 );
typeVectorVertex witness7 = {2,6,4,5,3,1,0}; knn.push_back(witness7 );
typeVectorVertex witness8 = {1,2,5,4,3,6,0}; knn.push_back(witness8 );
typeVectorVertex witness9 = {3,4,0,6,5,1,2}; knn.push_back(witness9 );
typeVectorVertex witness10 = {5,0,1,3,6,2,4}; knn.push_back(witness10);
typeVectorVertex witness11 = {5,6,1,0,2,3,4}; knn.push_back(witness11);
typeVectorVertex witness12 = {1,6,0,5,2,3,4}; knn.push_back(witness12);
WitnessComplex witnessComplex(knn, complex, 7, 7);
assert(witnessComplex.is_witness_complex(knn, true));
}
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