Took into account Clément's remarks

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/subsampling_and_spatialsearching@1328 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: 6f1db13d0e8cec8e64c5bb30da53b72b00446de3

2 files changed, 9 insertions, 9 deletions

diff --git a/src/Subsampling/test/test_choose_farthest_point.cpp b/src/Subsampling/test/test_choose_farthest_point.cpp
index 991fcbfe..87c2c38d 100644
--- a/src/Subsampling/test/test_choose_farthest_point.cpp
+++ b/src/Subsampling/test/test_choose_farthest_point.cpp
@@ -41,7 +41,7 @@ typedef typename K::Point_d                                       Point_d;
 
 
 BOOST_AUTO_TEST_CASE(test_choose_farthest_point) {
-  std::vector< Point_d > points, landmarks;
+  std::vector< Point_d > points, results;
   // Add grid points (625 points)
   for (FT i = 0; i < 5; i += 1.0)
     for (FT j = 0; j < 5; j += 1.0)
@@ -49,9 +49,9 @@ BOOST_AUTO_TEST_CASE(test_choose_farthest_point) {
         for (FT l = 0; l < 5; l += 1.0)
           points.push_back(Point_d(std::vector<FT>({i, j, k, l})));
 
-  landmarks.clear();
+  results.clear();
   K k;
-  Gudhi::choose_by_farthest_point(k, points, 100, std::back_inserter(landmarks));
+  Gudhi::subsampling::choose_by_farthest_point(k, points, 100, std::back_inserter(results));
   
-  assert(landmarks.size() == 100);
+  assert(results.size() == 100);
 }
diff --git a/src/Subsampling/test/test_pick_random_points.cpp b/src/Subsampling/test/test_pick_random_points.cpp
index 81c7ffdb..8156160e 100644
--- a/src/Subsampling/test/test_pick_random_points.cpp
+++ b/src/Subsampling/test/test_pick_random_points.cpp
@@ -24,7 +24,7 @@
 // # define TBB_USE_THREADING_TOOL
 // #endif
 
-#include <gudhi/Pick_random_points.h>
+#include <gudhi/pick_random_points.h>
 #include <vector>
 #include <iterator>
 
@@ -55,11 +55,11 @@ int main() {
   vect.push_back(Point_d(std::vector<FT>({1,1,1,1})));
   
   
-  std::vector<Point_d> landmarks;
-  Gudhi::pick_random_points(vect, 5, std::back_inserter(landmarks));
+  std::vector<Point_d> results;
+  Gudhi::subsampling::pick_random_points(vect, 5, std::back_inserter(results));
   std::cout << "landmark vector contains: ";
-  for (auto l: landmarks)
+  for (auto l: results)
     std::cout << l << "\n";
-  assert(landmarks_size() == 5);
+  assert(results.size() == 5);
   
 }