diff options
author | Hind-M <hind.montassif@gmail.com> | 2021-06-07 17:07:55 +0200 |
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committer | Hind-M <hind.montassif@gmail.com> | 2021-06-07 17:07:55 +0200 |
commit | b9160fb8410bbb999913b0b4e91f1aa1ff58d2cd (patch) | |
tree | 410795193a098deeb42ddc120e51d0a7250ecb4c /src/common/include | |
parent | b04759faf8f474ff98e9e229c41d85ff3bf009da (diff) |
Replace 'uniform' flag of torus generation with 'sample' taking two possible values: 'grid'(i.e uniform==True) or 'random' (i.e uniform==False)
Diffstat (limited to 'src/common/include')
-rw-r--r-- | src/common/include/gudhi/random_point_generators.h | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/common/include/gudhi/random_point_generators.h b/src/common/include/gudhi/random_point_generators.h index 33fb182d..07e4f3da 100644 --- a/src/common/include/gudhi/random_point_generators.h +++ b/src/common/include/gudhi/random_point_generators.h @@ -185,7 +185,7 @@ std::vector<typename Kernel::Point_d> generate_points_on_torus_3D(std::size_t nu // "Private" function used by generate_points_on_torus_d template <typename Kernel, typename OutputIterator> -static void generate_uniform_points_on_torus_d(const Kernel &k, int dim, std::size_t num_slices, +static void generate_grid_points_on_torus_d(const Kernel &k, int dim, std::size_t num_slices, OutputIterator out, double radius_noise_percentage = 0., std::vector<typename Kernel::FT> current_point = @@ -208,14 +208,14 @@ static void generate_uniform_points_on_torus_d(const Kernel &k, int dim, std::si double alpha = two_pi * slice_idx / num_slices; cp2.push_back(radius_noise_ratio * std::cos(alpha)); cp2.push_back(radius_noise_ratio * std::sin(alpha)); - generate_uniform_points_on_torus_d( + generate_grid_points_on_torus_d( k, dim, num_slices, out, radius_noise_percentage, cp2); } } } template <typename Kernel> -std::vector<typename Kernel::Point_d> generate_points_on_torus_d(std::size_t num_points, int dim, bool uniform = false, +std::vector<typename Kernel::Point_d> generate_points_on_torus_d(std::size_t num_points, int dim, std::string sample = "random", double radius_noise_percentage = 0.) { using namespace boost::math::double_constants; @@ -226,9 +226,9 @@ std::vector<typename Kernel::Point_d> generate_points_on_torus_d(std::size_t num std::vector<Point> points; points.reserve(num_points); - if (uniform) { + if (sample == "grid") { std::size_t num_slices = (std::size_t)std::pow(num_points, 1. / dim); - generate_uniform_points_on_torus_d( + generate_grid_points_on_torus_d( k, dim, num_slices, std::back_inserter(points), radius_noise_percentage); } else { for (std::size_t i = 0; i < num_points;) { |