1 files changed, 68 insertions, 0 deletions
diff --git a/src/python/gudhi/datasets/generators/points.cc b/src/python/gudhi/datasets/generators/points.cc
new file mode 100644
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+++ b/src/python/gudhi/datasets/generators/points.cc
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+/*    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_sphere(size_t n_samples, int ambient_dim, double radius, std::string sample) {
+    
+    if (sample != "random") {
+        throw pybind11::value_error("This sample type is not supported");
+    }
+
+    py::array_t<double> points({n_samples, (size_t)ambient_dim});
+
+    py::buffer_info buf = points.request();
+    double *ptr = static_cast<double *>(buf.ptr);
+
+    GUDHI_CHECK(n_samples == buf.shape[0], "Py array first dimension not matching n_samples on sphere");
+    GUDHI_CHECK(ambient_dim == buf.shape[1], "Py array second dimension not matching the ambient space dimension");
+
+
+    py::gil_scoped_release release;
+    auto points_generated = Gudhi::generate_points_on_sphere_d<Kern>(n_samples, ambient_dim, radius);
+
+    for (size_t i = 0; i < n_samples; i++)
+        for (int j = 0; j < ambient_dim; j++)
+            ptr[i*ambient_dim+j] = points_generated[i][j];
+
+    return points;
+}
+
+PYBIND11_MODULE(points, m) {
+      m.attr("__license__") = "LGPL v3";
+      m.def("sphere", &generate_points_on_sphere,
+          py::arg("n_samples"), py::arg("ambient_dim"),
+          py::arg("radius") = 1., py::arg("sample") = "random",
+          R"pbdoc(
+    Generate random i.i.d. points uniformly on a (d-1)-sphere in R^d
+
+    :param n_samples: The number of points to be generated.
+    :type n_samples: integer
+    :param ambient_dim: The ambient dimension d.
+    :type ambient_dim: integer
+    :param radius: The radius. Default value is `1.`.
+    :type radius: float
+    :param sample: The sample type. Default and only available value is `"random"`.
+    :type sample: string
+    :rtype: numpy array of float
+    :returns: the generated points on a sphere.
+    )pbdoc");
+}