diff --git a/src/python/gudhi/_ripser.cc b/src/python/gudhi/_ripser.cc index 97e804fd4d..1fb24aab23 100644 --- a/src/python/gudhi/_ripser.cc +++ b/src/python/gudhi/_ripser.cc @@ -28,7 +28,7 @@ PYBIND11_MAKE_OPAQUE(Vf); PYBIND11_MAKE_OPAQUE(Vd); templatestruct Numpy_euclidean { - typedef Tag_other category; + typedef Tag_other Category; typedef int vertex_t; typedef T value_t; @@ -47,7 +47,7 @@ templatestruct Numpy_euclidean { }; templatestruct Full { - typedef Tag_dense category; + typedef Tag_dense Category; typedef int vertex_t; typedef T value_t; decltype(std::declval&>().template unchecked<2>()) data; @@ -122,7 +122,7 @@ py::list lower(py::object low_mat, int max_dimension, double max_edge_length, un }; std::optional release_local(std::in_place); - compressed_distance_matrix, LOWER_TRIANGULAR> dist(std::move(distances)); + Compressed_distance_matrix, LOWER_TRIANGULAR> dist(std::move(distances)); release_local.reset(); return doit(std::move(dist), max_dimension, max_edge_length, homology_coeff_field); @@ -139,7 +139,7 @@ py::list sparse(py::array_t is_, py::array_t js_, py::array_t fs_, int throw std::runtime_error("vertices and filtrations must have the same shape"); typedef DParams P; - typedef sparse_distance_matrix

Dist; + typedef Sparse_distance_matrix

Dist; typedef typename Dist::vertex_diameter_t vertex_diameter_t; std::optional release_local(std::in_place);