diff options
Diffstat (limited to 'src/Alpha_complex/test/Alpha_complex_unit_test.cpp')
| -rw-r--r-- | src/Alpha_complex/test/Alpha_complex_unit_test.cpp | 73 |
1 files changed, 51 insertions, 22 deletions
diff --git a/src/Alpha_complex/test/Alpha_complex_unit_test.cpp b/src/Alpha_complex/test/Alpha_complex_unit_test.cpp index 01e4cee3..27b671dd 100644 --- a/src/Alpha_complex/test/Alpha_complex_unit_test.cpp +++ b/src/Alpha_complex/test/Alpha_complex_unit_test.cpp @@ -15,6 +15,7 @@ #include <CGAL/Delaunay_triangulation.h> #include <CGAL/Epick_d.h> +#include <CGAL/Epeck_d.h> #include <cmath> // float comparison #include <limits> @@ -28,12 +29,16 @@ #include <gudhi/Unitary_tests_utils.h> // Use dynamic_dimension_tag for the user to be able to set dimension -typedef CGAL::Epick_d< CGAL::Dynamic_dimension_tag > Kernel_d; +typedef CGAL::Epeck_d< CGAL::Dynamic_dimension_tag > Exact_kernel_d; // Use static dimension_tag for the user not to be able to set dimension -typedef CGAL::Epick_d< CGAL::Dimension_tag<3> > Kernel_s; +typedef CGAL::Epeck_d< CGAL::Dimension_tag<3> > Exact_kernel_s; +// Use dynamic_dimension_tag for the user to be able to set dimension +typedef CGAL::Epick_d< CGAL::Dynamic_dimension_tag > Inexact_kernel_d; +// Use static dimension_tag for the user not to be able to set dimension +typedef CGAL::Epick_d< CGAL::Dimension_tag<3> > Inexact_kernel_s; // The triangulation uses the default instantiation of the TriangulationDataStructure template parameter -typedef boost::mpl::list<Kernel_d, Kernel_s> list_of_kernel_variants; +typedef boost::mpl::list<Exact_kernel_d, Exact_kernel_s, Inexact_kernel_d, Inexact_kernel_s> list_of_kernel_variants; BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_OFF_file, TestedKernel, list_of_kernel_variants) { // ---------------------------------------------------------------------------- @@ -48,20 +53,12 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_OFF_file, TestedKernel, list_of Gudhi::alpha_complex::Alpha_complex<TestedKernel> alpha_complex_from_file(off_file_name); - std::cout << "alpha_complex_from_points.number_of_vertices()=" << alpha_complex_from_file.number_of_vertices() - << std::endl; - BOOST_CHECK(alpha_complex_from_file.number_of_vertices() == 7); - Gudhi::Simplex_tree<> simplex_tree_60; BOOST_CHECK(alpha_complex_from_file.create_complex(simplex_tree_60, max_alpha_square_value)); std::cout << "simplex_tree_60.dimension()=" << simplex_tree_60.dimension() << std::endl; BOOST_CHECK(simplex_tree_60.dimension() == 2); - std::cout << "alpha_complex_from_points.number_of_vertices()=" << alpha_complex_from_file.number_of_vertices() - << std::endl; - BOOST_CHECK(alpha_complex_from_file.number_of_vertices() == 7); - std::cout << "simplex_tree_60.num_vertices()=" << simplex_tree_60.num_vertices() << std::endl; BOOST_CHECK(simplex_tree_60.num_vertices() == 7); @@ -86,7 +83,7 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_OFF_file, TestedKernel, list_of } // Use static dimension_tag for the user not to be able to set dimension -typedef CGAL::Epick_d< CGAL::Dimension_tag<4> > Kernel_4; +typedef CGAL::Epeck_d< CGAL::Dimension_tag<4> > Kernel_4; typedef Kernel_4::Point_d Point_4; typedef std::vector<Point_4> Vector_4_Points; @@ -123,10 +120,6 @@ BOOST_AUTO_TEST_CASE(Alpha_complex_from_points) { Gudhi::Simplex_tree<> simplex_tree; BOOST_CHECK(alpha_complex_from_points.create_complex(simplex_tree)); - std::cout << "alpha_complex_from_points.number_of_vertices()=" << alpha_complex_from_points.number_of_vertices() - << std::endl; - BOOST_CHECK(alpha_complex_from_points.number_of_vertices() == points.size()); - // Another way to check num_simplices std::cout << "Iterator on alpha complex simplices in the filtration order, with [filtration value]:" << std::endl; int num_simplices = 0; @@ -146,7 +139,7 @@ BOOST_AUTO_TEST_CASE(Alpha_complex_from_points) { std::cout << "simplex_tree.dimension()=" << simplex_tree.dimension() << std::endl; BOOST_CHECK(simplex_tree.dimension() == 3); std::cout << "simplex_tree.num_vertices()=" << simplex_tree.num_vertices() << std::endl; - BOOST_CHECK(simplex_tree.num_vertices() == 4); + BOOST_CHECK(simplex_tree.num_vertices() == points.size()); for (auto f_simplex : simplex_tree.filtration_simplex_range()) { switch (simplex_tree.dimension(f_simplex)) { @@ -256,10 +249,6 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_empty_points, TestedKernel, lis Gudhi::Simplex_tree<> simplex_tree; BOOST_CHECK(!alpha_complex_from_points.create_complex(simplex_tree)); - std::cout << "alpha_complex_from_points.number_of_vertices()=" << alpha_complex_from_points.number_of_vertices() - << std::endl; - BOOST_CHECK(alpha_complex_from_points.number_of_vertices() == points.size()); - std::cout << "simplex_tree.num_simplices()=" << simplex_tree.num_simplices() << std::endl; BOOST_CHECK(simplex_tree.num_simplices() == 0); @@ -267,5 +256,45 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_empty_points, TestedKernel, lis BOOST_CHECK(simplex_tree.dimension() == -1); std::cout << "simplex_tree.num_vertices()=" << simplex_tree.num_vertices() << std::endl; - BOOST_CHECK(simplex_tree.num_vertices() == 0); + BOOST_CHECK(simplex_tree.num_vertices() == points.size()); +} + +using Inexact_kernel_2 = CGAL::Epick_d< CGAL::Dimension_tag<2> >; +using Exact_kernel_2 = CGAL::Epeck_d< CGAL::Dimension_tag<2> >; +using list_of_kernel_2_variants = boost::mpl::list<Inexact_kernel_2, Exact_kernel_2>; + +BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_with_duplicated_points, TestedKernel, list_of_kernel_2_variants) { + std::cout << "========== Alpha_complex_with_duplicated_points ==========" << std::endl; + + using Point = typename TestedKernel::Point_d; + using Vector_of_points = std::vector<Point>; + + // ---------------------------------------------------------------------------- + // Init of a list of points + // ---------------------------------------------------------------------------- + Vector_of_points points; + points.push_back(Point(1.0, 1.0)); + points.push_back(Point(7.0, 0.0)); + points.push_back(Point(4.0, 6.0)); + points.push_back(Point(9.0, 6.0)); + points.push_back(Point(0.0, 14.0)); + points.push_back(Point(2.0, 19.0)); + points.push_back(Point(9.0, 17.0)); + // duplicated points + points.push_back(Point(1.0, 1.0)); + points.push_back(Point(7.0, 0.0)); + + // ---------------------------------------------------------------------------- + // Init of an alpha complex from the list of points + // ---------------------------------------------------------------------------- + std::cout << "Init" << std::endl; + Gudhi::alpha_complex::Alpha_complex<TestedKernel> alpha_complex_from_points(points); + + Gudhi::Simplex_tree<> simplex_tree; + std::cout << "create_complex" << std::endl; + BOOST_CHECK(alpha_complex_from_points.create_complex(simplex_tree)); + + std::cout << "simplex_tree.num_vertices()=" << simplex_tree.num_vertices() + << std::endl; + BOOST_CHECK(simplex_tree.num_vertices() < points.size()); } |