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authorvrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-04-11 08:10:47 +0000
committervrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-04-11 08:10:47 +0000
commit3bbae2e625ee99b5d6d4eab7c06acfa1246ad3ea (patch)
tree72d3ed53d9bb3203fb650ac684b296849978e1b4 /src/Subsampling
parent7c018fc5120bf25b88bc287f0f5793984b3e4732 (diff)
Move Euclidean_distance in Gudhi namespace
Fix cpplints git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/trunk@2331 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: bc5609c2df490db50e82b56a5e6d899dc6370182
Diffstat (limited to 'src/Subsampling')
-rw-r--r--src/Subsampling/example/example_choose_n_farthest_points.cpp4
-rw-r--r--src/Subsampling/example/example_custom_kernel.cpp4
-rw-r--r--src/Subsampling/include/gudhi/choose_n_farthest_points.h4
3 files changed, 8 insertions, 4 deletions
diff --git a/src/Subsampling/example/example_choose_n_farthest_points.cpp b/src/Subsampling/example/example_choose_n_farthest_points.cpp
index fc9ea7a6..ebf631fc 100644
--- a/src/Subsampling/example/example_choose_n_farthest_points.cpp
+++ b/src/Subsampling/example/example_choose_n_farthest_points.cpp
@@ -19,7 +19,9 @@ int main(void) {
K k;
std::vector<Point_d> results;
- Gudhi::subsampling::choose_n_farthest_points(k, points, 100, Gudhi::subsampling::random_starting_point, std::back_inserter(results));
+ Gudhi::subsampling::choose_n_farthest_points(k, points, 100,
+ Gudhi::subsampling::random_starting_point,
+ std::back_inserter(results));
std::cout << "Before sparsification: " << points.size() << " points.\n";
std::cout << "After sparsification: " << results.size() << " points.\n";
diff --git a/src/Subsampling/example/example_custom_kernel.cpp b/src/Subsampling/example/example_custom_kernel.cpp
index 2719ee90..2d42bdde 100644
--- a/src/Subsampling/example/example_custom_kernel.cpp
+++ b/src/Subsampling/example/example_custom_kernel.cpp
@@ -54,7 +54,9 @@ int main(void) {
std::vector<Point_d> points = {0, 1, 2, 3};
std::vector<Point_d> results;
- Gudhi::subsampling::choose_n_farthest_points(k, points, 2, Gudhi::subsampling::random_starting_point, std::back_inserter(results));
+ Gudhi::subsampling::choose_n_farthest_points(k, points, 2,
+ Gudhi::subsampling::random_starting_point,
+ std::back_inserter(results));
std::cout << "Before sparsification: " << points.size() << " points.\n";
std::cout << "After sparsification: " << results.size() << " points.\n";
std::cout << "Result table: {" << results[0] << "," << results[1] << "}\n";
diff --git a/src/Subsampling/include/gudhi/choose_n_farthest_points.h b/src/Subsampling/include/gudhi/choose_n_farthest_points.h
index 50d3cf80..86500b28 100644
--- a/src/Subsampling/include/gudhi/choose_n_farthest_points.h
+++ b/src/Subsampling/include/gudhi/choose_n_farthest_points.h
@@ -74,13 +74,13 @@ enum : std::size_t {
template < typename Kernel,
typename Point_range,
typename PointOutputIterator,
-typename DistanceOutputIterator=Null_output_iterator>
+typename DistanceOutputIterator = Null_output_iterator>
void choose_n_farthest_points(Kernel const &k,
Point_range const &input_pts,
std::size_t final_size,
std::size_t starting_point,
PointOutputIterator output_it,
- DistanceOutputIterator dist_it={}) {
+ DistanceOutputIterator dist_it = {}) {
std::size_t nb_points = boost::size(input_pts);
if (final_size > nb_points)
final_size = nb_points;