From bf4b4eeda9762ed9e99c2b24f19331fa0111fcfe Mon Sep 17 00:00:00 2001 From: ROUVREAU Vincent Date: Mon, 27 Jan 2020 10:43:16 +0100 Subject: Code review: Use std::clog instead of std::cout --- src/Subsampling/example/example_choose_n_farthest_points.cpp | 4 ++-- src/Subsampling/example/example_custom_kernel.cpp | 6 +++--- src/Subsampling/example/example_pick_n_random_points.cpp | 4 ++-- src/Subsampling/example/example_sparsify_point_set.cpp | 4 ++-- src/Subsampling/test/test_pick_n_random_points.cpp | 4 ++-- src/Subsampling/test/test_sparsify_point_set.cpp | 6 +++--- 6 files changed, 14 insertions(+), 14 deletions(-) (limited to 'src/Subsampling') 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 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 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 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 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()); } -- cgit v1.2.3