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-rw-r--r--src/Subsampling/doc/Intro_subsampling.h2
-rw-r--r--src/Subsampling/include/gudhi/choose_n_farthest_points.h4
2 files changed, 2 insertions, 4 deletions
diff --git a/src/Subsampling/doc/Intro_subsampling.h b/src/Subsampling/doc/Intro_subsampling.h
index c84616dd..ab9cdc37 100644
--- a/src/Subsampling/doc/Intro_subsampling.h
+++ b/src/Subsampling/doc/Intro_subsampling.h
@@ -58,8 +58,6 @@ namespace subsampling {
* This example outputs a subset of 100 points picked randomly.
*
* \include Subsampling/example_pick_n_random_points.cpp
- * \copyright GNU General Public License v3.
- * \verbatim Contact: gudhi-users@lists.gforge.inria.fr \endverbatim
*/
/** @} */ // end defgroup subsampling
diff --git a/src/Subsampling/include/gudhi/choose_n_farthest_points.h b/src/Subsampling/include/gudhi/choose_n_farthest_points.h
index 86500b28..8390b4c9 100644
--- a/src/Subsampling/include/gudhi/choose_n_farthest_points.h
+++ b/src/Subsampling/include/gudhi/choose_n_farthest_points.h
@@ -93,7 +93,7 @@ void choose_n_farthest_points(Kernel const &k,
// Choose randomly the first landmark
std::random_device rd;
std::mt19937 gen(rd());
- std::uniform_int_distribution<std::size_t> dis(0, (input_pts.size() - 1));
+ std::uniform_int_distribution<std::size_t> dis(0, nb_points - 1);
starting_point = dis(gen);
}
@@ -110,7 +110,7 @@ void choose_n_farthest_points(Kernel const &k,
*output_it++ = input_pts[curr_max_w];
*dist_it++ = dist_to_L[curr_max_w];
std::size_t i = 0;
- for (auto& p : input_pts) {
+ for (auto&& p : input_pts) {
double curr_dist = sqdist(p, *(std::begin(input_pts) + curr_max_w));
if (curr_dist < dist_to_L[i])
dist_to_L[i] = curr_dist;