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author | Marc Glisse <marc.glisse@inria.fr> | 2020-10-22 22:49:23 +0200 |
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committer | Marc Glisse <marc.glisse@inria.fr> | 2020-10-22 22:49:23 +0200 |
commit | 3ae0bc89f6ef853c1c52fc609bfe08097d3594db (patch) | |
tree | 40dae7998b965af7ae36f0d59231935b4b3f2838 /src/Subsampling | |
parent | 8aea376ed0b3c9066fb7e649f1cd66ffbed99a8d (diff) |
test with duplicated point
Diffstat (limited to 'src/Subsampling')
-rw-r--r-- | src/Subsampling/test/test_choose_n_farthest_points.cpp | 10 |
1 files changed, 9 insertions, 1 deletions
diff --git a/src/Subsampling/test/test_choose_n_farthest_points.cpp b/src/Subsampling/test/test_choose_n_farthest_points.cpp index 5c4bd4cb..08b82d61 100644 --- a/src/Subsampling/test/test_choose_n_farthest_points.cpp +++ b/src/Subsampling/test/test_choose_n_farthest_points.cpp @@ -93,7 +93,15 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(test_choose_farthest_point_limits, Kernel, list_of std::vector<FT> point2({1.0, 0.0, 0.0, 0.0}); points.push_back(Point_d(point2.begin(), point2.end())); - // Choose all farthest points in a one point cloud + // Choose all farthest points among 2 points + Gudhi::subsampling::choose_n_farthest_points(k, points, -1, -1, std::back_inserter(landmarks), std::back_inserter(distances)); + BOOST_CHECK(landmarks.size() == 2 && distances.size() == 2); + BOOST_CHECK(distances[0] == std::numeric_limits<FT>::infinity()); + BOOST_CHECK(distances[1] == 1); + landmarks.clear(); distances.clear(); + + // Ignore duplicated points + points.push_back(Point_d(point.begin(), point.end())); Gudhi::subsampling::choose_n_farthest_points(k, points, -1, -1, std::back_inserter(landmarks), std::back_inserter(distances)); BOOST_CHECK(landmarks.size() == 2 && distances.size() == 2); BOOST_CHECK(distances[0] == std::numeric_limits<FT>::infinity()); |