diff options
Diffstat (limited to 'src/Coxeter_triangulation/test/function_test.cpp')
| -rw-r--r-- | src/Coxeter_triangulation/test/function_test.cpp | 43 |
1 files changed, 19 insertions, 24 deletions
diff --git a/src/Coxeter_triangulation/test/function_test.cpp b/src/Coxeter_triangulation/test/function_test.cpp index c9c3f55b..d3c8d46c 100644 --- a/src/Coxeter_triangulation/test/function_test.cpp +++ b/src/Coxeter_triangulation/test/function_test.cpp @@ -11,7 +11,7 @@ // workaround for the annoying boost message in boost 1.69 #define BOOST_PENDING_INTEGER_LOG2_HPP #include <boost/integer/integer_log2.hpp> -// end workaround +// end workaround #define BOOST_TEST_DYN_LINK #define BOOST_TEST_MODULE "function" @@ -48,18 +48,17 @@ template <class Function> void test_function(const Function& fun) { Eigen::VectorXd seed = fun.seed(); Eigen::VectorXd res_seed = fun(fun.seed()); - BOOST_CHECK( seed.size() == (long int)fun.amb_d() ); - BOOST_CHECK( res_seed.size() == (long int)fun.cod_d() ); - for (std::size_t i = 0; i < fun.cod_d(); i++) - GUDHI_TEST_FLOAT_EQUALITY_CHECK(res_seed(i), 0., 1e-10); + BOOST_CHECK(seed.size() == (long int)fun.amb_d()); + BOOST_CHECK(res_seed.size() == (long int)fun.cod_d()); + for (std::size_t i = 0; i < fun.cod_d(); i++) GUDHI_TEST_FLOAT_EQUALITY_CHECK(res_seed(i), 0., 1e-10); } BOOST_AUTO_TEST_CASE(function) { - { // the sphere testing part std::size_t m = 3, d = 5; - Eigen::VectorXd center(d); center << 2, 1.5, -0.5, 4.5, -1; + Eigen::VectorXd center(d); + center << 2, 1.5, -0.5, 4.5, -1; double radius = 5; typedef Function_Sm_in_Rd Function_sphere; Function_sphere fun_sphere(radius, m, d, center); @@ -68,9 +67,8 @@ BOOST_AUTO_TEST_CASE(function) { { // the affine plane testing part std::size_t m = 0, d = 5; - Eigen::MatrixXd normal_matrix = Eigen::MatrixXd::Zero(d, d-m); - for (std::size_t i = 0; i < d-m; ++i) - normal_matrix(i,i) = 1; + Eigen::MatrixXd normal_matrix = Eigen::MatrixXd::Zero(d, d - m); + for (std::size_t i = 0; i < d - m; ++i) normal_matrix(i, i) = 1; typedef Function_affine_plane_in_Rd Function_plane; Function_plane fun_plane(normal_matrix); test_function(fun_plane); @@ -81,8 +79,7 @@ BOOST_AUTO_TEST_CASE(function) { auto x = Eigen::VectorXd::Constant(k, 1); Constant_function fun_const(d, k, x); Eigen::VectorXd res_zero = fun_const(Eigen::VectorXd::Zero(d)); - for (std::size_t i = 0; i < k; ++i) - GUDHI_TEST_FLOAT_EQUALITY_CHECK(res_zero(i), x(i), 1e-10); + for (std::size_t i = 0; i < k; ++i) GUDHI_TEST_FLOAT_EQUALITY_CHECK(res_zero(i), x(i), 1e-10); } { // the chair function @@ -119,10 +116,10 @@ BOOST_AUTO_TEST_CASE(function) { Eigen::MatrixXd id_matrix = matrix.transpose() * matrix; for (std::size_t i = 0; i < 5; ++i) for (std::size_t j = 0; j < 5; ++j) - if (i == j) - GUDHI_TEST_FLOAT_EQUALITY_CHECK(id_matrix(i,j), 1.0, 1e-10); - else - GUDHI_TEST_FLOAT_EQUALITY_CHECK(id_matrix(i,j), 0.0, 1e-10); + if (i == j) + GUDHI_TEST_FLOAT_EQUALITY_CHECK(id_matrix(i, j), 1.0, 1e-10); + else + GUDHI_TEST_FLOAT_EQUALITY_CHECK(id_matrix(i, j), 0.0, 1e-10); } { // function embedding @@ -137,7 +134,7 @@ BOOST_AUTO_TEST_CASE(function) { // function linear transformation Eigen::MatrixXd matrix = Eigen::MatrixXd::Random(5, 5); - BOOST_CHECK( matrix.determinant() != 0. ); + BOOST_CHECK(matrix.determinant() != 0.); auto fun_lin = make_linear_transformation(fun_trans, matrix); test_function(fun_lin); @@ -150,7 +147,7 @@ BOOST_AUTO_TEST_CASE(function) { Function_sphere fun_sphere(1, 1); auto fun_prod = make_product_function(fun_sphere, fun_sphere, fun_sphere); test_function(fun_prod); - + // function PL approximation Coxeter_triangulation<> cox_tr(6); typedef Coxeter_triangulation<>::Vertex_handle Vertex_handle; @@ -159,17 +156,15 @@ BOOST_AUTO_TEST_CASE(function) { Eigen::VectorXd x0 = cox_tr.cartesian_coordinates(v0); Eigen::VectorXd value0 = fun_prod(x0); Eigen::VectorXd pl_value0 = fun_pl(x0); - for (std::size_t i = 0; i < fun_pl.cod_d(); i++) - GUDHI_TEST_FLOAT_EQUALITY_CHECK(value0(i), pl_value0(i), 1e-10); + for (std::size_t i = 0; i < fun_pl.cod_d(); i++) GUDHI_TEST_FLOAT_EQUALITY_CHECK(value0(i), pl_value0(i), 1e-10); Vertex_handle v1 = v0; v1[0] += 1; Eigen::VectorXd x1 = cox_tr.cartesian_coordinates(v1); Eigen::VectorXd value1 = fun_prod(x1); Eigen::VectorXd pl_value1 = fun_pl(x1); + for (std::size_t i = 0; i < fun_pl.cod_d(); i++) GUDHI_TEST_FLOAT_EQUALITY_CHECK(value1(i), pl_value1(i), 1e-10); + Eigen::VectorXd pl_value_mid = fun_pl(0.5 * x0 + 0.5 * x1); for (std::size_t i = 0; i < fun_pl.cod_d(); i++) - GUDHI_TEST_FLOAT_EQUALITY_CHECK(value1(i), pl_value1(i), 1e-10); - Eigen::VectorXd pl_value_mid = fun_pl(0.5*x0 + 0.5*x1); - for (std::size_t i = 0; i < fun_pl.cod_d(); i++) - GUDHI_TEST_FLOAT_EQUALITY_CHECK(0.5*value0(i) + 0.5*value1(i), pl_value_mid(i), 1e-10); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(0.5 * value0(i) + 0.5 * value1(i), pl_value_mid(i), 1e-10); } } |