1 files changed, 0 insertions, 68 deletions
diff --git a/src/python/gudhi/datasets/generators/points.cc b/src/python/gudhi/datasets/generators/points.cc
deleted file mode 100644
index d658946b..00000000
--- a/src/python/gudhi/datasets/generators/points.cc
+++ /dev/null
@@ -1,68 +0,0 @@
-/*    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");
-}