blob: 003b65a3e6a7d308564d80d2a91d6919b2cb5647 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
|
/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
* See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
* Author(s): Hind Montassif
*
* Copyright (C) 2021 Inria
*
* Modification(s):
* - YYYY/MM Author: Description of the modification
*/
#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
#include <gudhi/random_point_generators.h>
#include <gudhi/Debug_utils.h>
#include <CGAL/Epick_d.h>
namespace py = pybind11;
typedef CGAL::Epick_d< CGAL::Dynamic_dimension_tag > Kern;
py::array_t<double> generate_points_on_torus(size_t n_samples, int dim, bool uniform) {
std::vector<typename Kern::Point_d> points_generated;
{
py::gil_scoped_release release;
points_generated = Gudhi::generate_points_on_torus_d<Kern>(n_samples, dim, uniform);
}
size_t npoints = points_generated.size();
GUDHI_CHECK(2*dim == points_generated[0].size(), "Py array second dimension not matching the double torus dimension");
py::array_t<double> points({npoints, (size_t)2*dim});
py::buffer_info buf = points.request();
double *ptr = static_cast<double *>(buf.ptr);
for (size_t i = 0; i < npoints; i++)
for (int j = 0; j < 2*dim; j++)
ptr[i*(2*dim)+j] = points_generated[i][j];
return points;
}
PYBIND11_MODULE(_points, m) {
m.attr("__license__") = "LGPL v3";
m.def("torus", &generate_points_on_torus,
py::arg("n_samples"), py::arg("dim"), py::arg("uniform") = false,
R"pbdoc(
Generate random i.i.d. points on a d-torus in R^2d
:param n_samples: The number of points to be generated.
:type n_samples: integer
:param dim: The dimension of the torus on which points would be generated in R^2*dim.
:type dim: integer
:param uniform: A flag to define if the points generation is uniform (i.e generated as a grid).
:type uniform: bool
:rtype: numpy array of float
:returns: the generated points on a torus.
)pbdoc");
}
|
