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September 8, 2022 18:02
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3D Alpha Complex example
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#include <iostream> | |
#include <string> | |
#include <vector> | |
#include <limits> | |
#include <random> | |
#include <gudhi/Alpha_complex_3d.h> | |
#include <gudhi/Simplex_tree.h> | |
#include <gudhi/Persistent_cohomology.h> | |
using Simplex_tree = Gudhi::Simplex_tree<Gudhi::Simplex_tree_options_fast_persistence>; | |
using Filtration_value = Simplex_tree::Filtration_value; | |
using Persistent_cohomology = | |
Gudhi::persistent_cohomology::Persistent_cohomology<Simplex_tree, Gudhi::persistent_cohomology::Field_Zp>; | |
template <typename AlphaComplex3d> | |
std::vector<typename AlphaComplex3d::Point_3> coords_to_points(const std::vector<std::vector<double>> &coords) { | |
using Point = typename AlphaComplex3d::Point_3; | |
std::vector<Point> points; | |
for (int i = 0; i < coords.size(); i++) { | |
points.push_back(Point(coords[i][0], coords[i][1], coords[i][2])); | |
} | |
return points; | |
} | |
std::vector<std::vector<std::vector<double>>> calc_persistence(const std::vector<std::vector<double>> &coords, int coeff_field, double min_persistence, double boxsize = 0.) { | |
Simplex_tree simplex_tree; | |
if (boxsize > 0) { | |
using Alpha_complex_3d = Gudhi::alpha_complex::Alpha_complex_3d<Gudhi::alpha_complex::complexity::SAFE, false, true>; | |
auto points = coords_to_points<Alpha_complex_3d>(coords); | |
Alpha_complex_3d alpha_complex(points, -boxsize, -boxsize, -boxsize, boxsize, boxsize, boxsize); | |
alpha_complex.create_complex(simplex_tree); | |
} else { | |
using Alpha_complex_3d = Gudhi::alpha_complex::Alpha_complex_3d<Gudhi::alpha_complex::complexity::SAFE, false, false>; | |
auto points = coords_to_points<Alpha_complex_3d>(coords); | |
Alpha_complex_3d alpha_complex(points); | |
alpha_complex.create_complex(simplex_tree); | |
} | |
int st_dimension = simplex_tree.dimension(); | |
std::clog << "Simplex tree dim: " << st_dimension << std::endl; | |
Persistent_cohomology pcoh(simplex_tree, true); | |
pcoh.init_coefficients(coeff_field); | |
pcoh.compute_persistent_cohomology(min_persistence); | |
std::vector<std::vector<std::vector<double>>> persistence_pairs; | |
std::vector<std::pair<Filtration_value, Filtration_value>> pairs_d; | |
std::vector<std::vector<double>> pairs_d_vec; | |
for (int dim = 0; dim < st_dimension; dim++) { | |
pairs_d = pcoh.intervals_in_dimension(dim); | |
pairs_d_vec.clear(); | |
for (int i = 0; i < pairs_d.size(); i++) { | |
pairs_d_vec.push_back({double(pairs_d[i].first), double(pairs_d[i].second)}); | |
} | |
persistence_pairs.push_back(pairs_d_vec); | |
} | |
return persistence_pairs; | |
} | |
int main() { | |
int N_points = 10; | |
double boxsize = 1; | |
std::default_random_engine generator; | |
generator.seed(10); | |
std::uniform_real_distribution<double> distribution(-boxsize, boxsize); | |
std::vector<std::vector<double>> points; | |
for (int i = 0; i < N_points; i++) { | |
std::vector<double> point = {distribution(generator), distribution(generator), distribution(generator)}; | |
points.push_back(point); | |
} | |
std::cout << "Points:" << std::endl; | |
for (int i = 0; i < N_points; i++) { | |
std::cout << "\t" << points[i][0] << ", " << points[i][1] << ", " << points[i][2] << std::endl; | |
} | |
std::vector<std::vector<std::vector<double>>> persistence_pairs = calc_persistence(points, 2, 0., boxsize); | |
for (int dim = 0; dim < persistence_pairs.size(); dim++) { | |
std::cout << "H" << dim << std::endl; | |
for (int i = 0; i < persistence_pairs[dim].size(); i++) { | |
std::cout << "\t" << persistence_pairs[dim][i][0] << " " << persistence_pairs[dim][i][1] << std::endl; | |
} | |
} | |
} |
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