diff options
author | Vincent Rouvreau <10407034+VincentRouvreau@users.noreply.github.com> | 2022-01-26 21:17:30 +0100 |
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committer | GitHub <noreply@github.com> | 2022-01-26 21:17:30 +0100 |
commit | 7f1b8eb706c72921141b53e607d6e2aa28e2bf19 (patch) | |
tree | c701f2414f640b02dd7f0d47869ec7c2ab029efe /src/Alpha_complex | |
parent | 4d27d023c89d6c6ad10b3923c3cdbd9ed5952711 (diff) | |
parent | e88833431fbdd2b58b00fe3d3cf84973700477b3 (diff) |
Merge pull request #462 from VincentRouvreau/python_weighted_alpha_complex
Python weighted alpha complex
Diffstat (limited to 'src/Alpha_complex')
-rw-r--r-- | src/Alpha_complex/include/gudhi/Alpha_complex.h | 12 | ||||
-rw-r--r-- | src/Alpha_complex/test/Alpha_complex_unit_test.cpp | 15 |
2 files changed, 26 insertions, 1 deletions
diff --git a/src/Alpha_complex/include/gudhi/Alpha_complex.h b/src/Alpha_complex/include/gudhi/Alpha_complex.h index e03bb161..028ec9bb 100644 --- a/src/Alpha_complex/include/gudhi/Alpha_complex.h +++ b/src/Alpha_complex/include/gudhi/Alpha_complex.h @@ -20,6 +20,7 @@ #include <stdlib.h> #include <math.h> // isnan, fmax #include <memory> // for std::unique_ptr +#include <cstddef> // for std::size_t #include <CGAL/Delaunay_triangulation.h> #include <CGAL/Regular_triangulation.h> // aka. Weighted Delaunay triangulation @@ -213,6 +214,15 @@ class Alpha_complex { Alpha_complex (Alpha_complex&& other) = delete; Alpha_complex& operator= (Alpha_complex&& other) = delete; + /** \brief Returns the number of finite vertices in the triangulation. + */ + std::size_t num_vertices() const { + if (triangulation_ == nullptr) + return 0; + else + return triangulation_->number_of_vertices(); + } + /** \brief get_point returns the point corresponding to the vertex given as parameter. * * @param[in] vertex Vertex handle of the point to retrieve. @@ -373,7 +383,7 @@ class Alpha_complex { // -------------------------------------------------------------------------------------------- // Simplex_tree construction from loop on triangulation finite full cells list - if (triangulation_->number_of_vertices() > 0) { + if (num_vertices() > 0) { for (auto cit = triangulation_->finite_full_cells_begin(); cit != triangulation_->finite_full_cells_end(); ++cit) { diff --git a/src/Alpha_complex/test/Alpha_complex_unit_test.cpp b/src/Alpha_complex/test/Alpha_complex_unit_test.cpp index 4b37e4bd..f74ad217 100644 --- a/src/Alpha_complex/test/Alpha_complex_unit_test.cpp +++ b/src/Alpha_complex/test/Alpha_complex_unit_test.cpp @@ -56,6 +56,9 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_OFF_file, TestedKernel, list_of Gudhi::Simplex_tree<> simplex_tree_60; BOOST_CHECK(alpha_complex_from_file.create_complex(simplex_tree_60, max_alpha_square_value)); + std::clog << "alpha_complex_from_file.num_vertices()=" << alpha_complex_from_file.num_vertices() << std::endl; + BOOST_CHECK(alpha_complex_from_file.num_vertices() == 7); + std::clog << "simplex_tree_60.dimension()=" << simplex_tree_60.dimension() << std::endl; BOOST_CHECK(simplex_tree_60.dimension() == 2); @@ -72,6 +75,9 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_OFF_file, TestedKernel, list_of Gudhi::Simplex_tree<> simplex_tree_59; BOOST_CHECK(alpha_complex_from_file.create_complex(simplex_tree_59, max_alpha_square_value)); + std::clog << "alpha_complex_from_file.num_vertices()=" << alpha_complex_from_file.num_vertices() << std::endl; + BOOST_CHECK(alpha_complex_from_file.num_vertices() == 7); + std::clog << "simplex_tree_59.dimension()=" << simplex_tree_59.dimension() << std::endl; BOOST_CHECK(simplex_tree_59.dimension() == 2); @@ -120,6 +126,9 @@ BOOST_AUTO_TEST_CASE(Alpha_complex_from_points) { Gudhi::Simplex_tree<> simplex_tree; BOOST_CHECK(alpha_complex_from_points.create_complex(simplex_tree)); + std::clog << "alpha_complex_from_points.num_vertices()=" << alpha_complex_from_points.num_vertices() << std::endl; + BOOST_CHECK(alpha_complex_from_points.num_vertices() == points.size()); + // Another way to check num_simplices std::clog << "Iterator on alpha complex simplices in the filtration order, with [filtration value]:" << std::endl; int num_simplices = 0; @@ -240,6 +249,9 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_from_empty_points, TestedKernel, lis // ---------------------------------------------------------------------------- Gudhi::alpha_complex::Alpha_complex<TestedKernel> alpha_complex_from_points(points); + std::clog << "alpha_complex_from_points.num_vertices()=" << alpha_complex_from_points.num_vertices() << std::endl; + BOOST_CHECK(alpha_complex_from_points.num_vertices() == points.size()); + // Test to the limit BOOST_CHECK_THROW (alpha_complex_from_points.get_point(0), std::out_of_range); @@ -291,6 +303,9 @@ BOOST_AUTO_TEST_CASE_TEMPLATE(Alpha_complex_with_duplicated_points, TestedKernel std::clog << "create_complex" << std::endl; BOOST_CHECK(alpha_complex_from_points.create_complex(simplex_tree)); + std::clog << "alpha_complex_from_points.num_vertices()=" << alpha_complex_from_points.num_vertices() << std::endl; + BOOST_CHECK(alpha_complex_from_points.num_vertices() < points.size()); + std::clog << "simplex_tree.num_vertices()=" << simplex_tree.num_vertices() << std::endl; BOOST_CHECK(simplex_tree.num_vertices() < points.size()); |