summaryrefslogtreecommitdiff
path: root/src/Subsampling
diff options
context:
space:
mode:
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.cpp6
-rw-r--r--src/Subsampling/example/example_pick_n_random_points.cpp4
-rw-r--r--src/Subsampling/example/example_sparsify_point_set.cpp4
-rw-r--r--src/Subsampling/test/test_pick_n_random_points.cpp4
-rw-r--r--src/Subsampling/test/test_sparsify_point_set.cpp6
6 files changed, 14 insertions, 14 deletions
diff --git a/src/Subsampling/example/example_choose_n_farthest_points.cpp b/src/Subsampling/example/example_choose_n_farthest_points.cpp
index 5cfeb4d8..27cf5d4e 100644
--- a/src/Subsampling/example/example_choose_n_farthest_points.cpp
+++ b/src/Subsampling/example/example_choose_n_farthest_points.cpp
@@ -23,8 +23,8 @@ int main(void) {
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";
+ std::clog << "Before sparsification: " << points.size() << " points.\n";
+ std::clog << "After sparsification: " << results.size() << " points.\n";
return 0;
}
diff --git a/src/Subsampling/example/example_custom_kernel.cpp b/src/Subsampling/example/example_custom_kernel.cpp
index f1eb757b..535bf42a 100644
--- a/src/Subsampling/example/example_custom_kernel.cpp
+++ b/src/Subsampling/example/example_custom_kernel.cpp
@@ -55,9 +55,9 @@ int main(void) {
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";
+ std::clog << "Before sparsification: " << points.size() << " points.\n";
+ std::clog << "After sparsification: " << results.size() << " points.\n";
+ std::clog << "Result table: {" << results[0] << "," << results[1] << "}\n";
return 0;
}
diff --git a/src/Subsampling/example/example_pick_n_random_points.cpp b/src/Subsampling/example/example_pick_n_random_points.cpp
index 25266403..316feed1 100644
--- a/src/Subsampling/example/example_pick_n_random_points.cpp
+++ b/src/Subsampling/example/example_pick_n_random_points.cpp
@@ -21,8 +21,8 @@ int main(void) {
K k;
std::vector<Point_d> results;
Gudhi::subsampling::pick_n_random_points(points, 100, std::back_inserter(results));
- std::cout << "Before sparsification: " << points.size() << " points.\n";
- std::cout << "After sparsification: " << results.size() << " points.\n";
+ std::clog << "Before sparsification: " << points.size() << " points.\n";
+ std::clog << "After sparsification: " << results.size() << " points.\n";
return 0;
}
diff --git a/src/Subsampling/example/example_sparsify_point_set.cpp b/src/Subsampling/example/example_sparsify_point_set.cpp
index a8caa720..1e2c38c1 100644
--- a/src/Subsampling/example/example_sparsify_point_set.cpp
+++ b/src/Subsampling/example/example_sparsify_point_set.cpp
@@ -21,8 +21,8 @@ int main(void) {
K k;
std::vector<Point_d> results;
Gudhi::subsampling::sparsify_point_set(k, points, 0.4, std::back_inserter(results));
- std::cout << "Before sparsification: " << points.size() << " points.\n";
- std::cout << "After sparsification: " << results.size() << " points.\n";
+ std::clog << "Before sparsification: " << points.size() << " points.\n";
+ std::clog << "After sparsification: " << results.size() << " points.\n";
return 0;
}
diff --git a/src/Subsampling/test/test_pick_n_random_points.cpp b/src/Subsampling/test/test_pick_n_random_points.cpp
index 018fb8d2..fafae2af 100644
--- a/src/Subsampling/test/test_pick_n_random_points.cpp
+++ b/src/Subsampling/test/test_pick_n_random_points.cpp
@@ -49,9 +49,9 @@ BOOST_AUTO_TEST_CASE(test_pick_n_random_points)
std::vector<Point_d> results;
Gudhi::subsampling::pick_n_random_points(vect, 5, std::back_inserter(results));
- std::cout << "landmark vector contains: ";
+ std::clog << "landmark vector contains: ";
for (auto l: results)
- std::cout << l << "\n";
+ std::clog << l << "\n";
BOOST_CHECK(results.size() == 5);
}
diff --git a/src/Subsampling/test/test_sparsify_point_set.cpp b/src/Subsampling/test/test_sparsify_point_set.cpp
index 587ab3ad..cdcfbff5 100644
--- a/src/Subsampling/test/test_sparsify_point_set.cpp
+++ b/src/Subsampling/test/test_sparsify_point_set.cpp
@@ -34,10 +34,10 @@ BOOST_AUTO_TEST_CASE(test_sparsify_point_set)
K k;
std::vector<Point_d> results;
Gudhi::subsampling::sparsify_point_set(k, points, 0.5, std::back_inserter(results));
- std::cout << "Before sparsification: " << points.size() << " points.\n";
- std::cout << "After sparsification: " << results.size() << " points.\n";
+ std::clog << "Before sparsification: " << points.size() << " points.\n";
+ std::clog << "After sparsification: " << results.size() << " points.\n";
//for (auto p : results)
- // std::cout << p << "\n";
+ // std::clog << p << "\n";
BOOST_CHECK(points.size() > results.size());
}