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#include <gudhi/Tangential_complex.h>
#include <gudhi/sparsify_point_set.h>
#include <CGAL/Epick_d.h>
#include <CGAL/Random.h>
#include <array>
#include <vector>
namespace subsampl = Gudhi::subsampling;
namespace tc = Gudhi::tangential_complex;
typedef CGAL::Epick_d<CGAL::Dimension_tag < 3 >> Kernel;
typedef Kernel::FT FT;
typedef Kernel::Point_d Point;
typedef Kernel::Vector_d Vector;
typedef tc::Tangential_complex<
Kernel, CGAL::Dimension_tag<2>,
CGAL::Parallel_tag> TC;
int main(void) {
const int INTRINSIC_DIM = 2;
const int AMBIENT_DIM = 3;
const int NUM_POINTS = 50;
Kernel k;
// Generate points on a 2-sphere
CGAL::Random_points_on_sphere_d<Point> generator(AMBIENT_DIM, 3.);
std::vector<Point> points;
points.reserve(NUM_POINTS);
for (int i = 0; i < NUM_POINTS; ++i)
points.push_back(*generator++);
// Sparsify the point set
std::vector<Point> sparsified_points;
subsampl::sparsify_point_set(k, points, 0.1 * 0.1,
std::back_inserter(sparsified_points));
sparsified_points.swap(points);
// Compute the TC
TC tc(points, INTRINSIC_DIM, k);
tc.compute_tangential_complex();
// Try to fix inconsistencies. Give it 10 seconds to succeed
tc.fix_inconsistencies_using_perturbation(0.05, 10);
// Export the TC into a Simplex_tree
Gudhi::Simplex_tree<> stree;
tc.create_complex(stree);
return 0;
}
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