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-rw-r--r--src/python/gudhi/datasets/generators/_points.cc9
1 files changed, 6 insertions, 3 deletions
diff --git a/src/python/gudhi/datasets/generators/_points.cc b/src/python/gudhi/datasets/generators/_points.cc
index 3d38ff90..536fa949 100644
--- a/src/python/gudhi/datasets/generators/_points.cc
+++ b/src/python/gudhi/datasets/generators/_points.cc
@@ -96,10 +96,10 @@ PYBIND11_MODULE(_points, m) {
:returns: the generated points on a sphere.
)pbdoc");
- m.def("torus", &generate_points_on_torus,
+ m.def("ctorus", &generate_points_on_torus,
py::arg("n_samples"), py::arg("dim"), py::arg("sample") = "random",
R"pbdoc(
- Generate random i.i.d. points on a d-torus in R^2d
+ Generate random i.i.d. points on a d-torus in R^2d or as a grid
:param n_samples: The number of points to be generated.
:type n_samples: integer
@@ -107,7 +107,10 @@ PYBIND11_MODULE(_points, m) {
:type dim: integer
:param sample: The sample type. Available values are: `"random"` and `"grid"`. Default value is `"random"`.
:type sample: string
- :rtype: numpy array of float
+ :rtype: numpy array of float.
+ The shape of returned numpy array is :
+ if sample is 'random' : (n_samples, 2*dim).
+ if sample is 'grid' : ([n_samples**(1./dim)]**dim, 2*dim).
:returns: the generated points on a torus.
)pbdoc");
}