diff options
author | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2020-01-27 10:43:16 +0100 |
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committer | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2020-01-27 10:43:16 +0100 |
commit | bf4b4eeda9762ed9e99c2b24f19331fa0111fcfe (patch) | |
tree | 03950723bd824ba3c69597e022500dfd5f37e914 /src/Subsampling | |
parent | c7b70317b643b2eb9c603602da9c979388829821 (diff) |
Code review: Use std::clog instead of std::cout
Diffstat (limited to 'src/Subsampling')
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()); } |