diff options
Diffstat (limited to 'src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp')
| -rw-r--r-- | src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp | 64 |
1 files changed, 26 insertions, 38 deletions
diff --git a/src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp b/src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp index 6b1608fe..130ac8cc 100644 --- a/src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp @@ -25,12 +25,15 @@ #include <boost/test/unit_test.hpp> #include <gudhi/reader_utils.h> #include <gudhi/Persistence_landscape_on_grid.h> +#include <gudhi/Unitary_tests_utils.h> #include <iostream> using namespace Gudhi; using namespace Gudhi::Persistence_representations; +double epsilon = 0.0005; + BOOST_AUTO_TEST_CASE(check_construction_of_landscape) { Persistence_landscape_on_grid l("data/file_with_diagram_1", 100, std::numeric_limits<unsigned short>::max()); l.print_to_file("landscape_from_file_with_diagram_1"); @@ -53,16 +56,14 @@ BOOST_AUTO_TEST_CASE(check_construction_of_landscape_using_only_ten_levels) { std::vector<double> v2 = g.vectorize(level); BOOST_CHECK(v1.size() == v2.size()); for (size_t i = 0; i != v1.size(); ++i) { - BOOST_CHECK(v1[i] == v2[i]); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(v1[i], v2[i]); } } } BOOST_AUTO_TEST_CASE(check_computations_of_integrals) { Persistence_landscape_on_grid p("data/file_with_diagram_1", 100, std::numeric_limits<unsigned short>::max()); - double integral = p.compute_integral_of_landscape(); - // cerr << "integral : " << integral << endl;getchar(); - BOOST_CHECK(fabs(integral - 27.343) <= 0.00005); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_integral_of_landscape(), 27.343, epsilon); } BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) { @@ -92,9 +93,8 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) integrals_fir_different_levels.push_back(0.202633); for (size_t level = 0; level != integrals_fir_different_levels.size(); ++level) { - double integral = p.compute_integral_of_landscape(level); - // cerr << integral << endl; - BOOST_CHECK(fabs(integral - integrals_fir_different_levels[level]) <= 0.00005); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_integral_of_landscape(level), integrals_fir_different_levels[level], + epsilon); } } @@ -109,9 +109,8 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) { integrals_fir_different_powers.push_back(0.23011); for (size_t power = 0; power != 5; ++power) { - double integral = p.compute_integral_of_landscape(power); - // cerr << integral << endl; - BOOST_CHECK(fabs(integral - integrals_fir_different_powers[power]) <= 0.00001); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_integral_of_landscape(power), integrals_fir_different_powers[power], + epsilon); } } @@ -145,8 +144,8 @@ BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) { double x = 0.0012321; double dx = 0.05212; for (size_t i = 0; i != 10; ++i) { - BOOST_CHECK(almost_equal(p.compute_value_at_a_given_point(0, x), results_level_0[i])); - BOOST_CHECK(almost_equal(p.compute_value_at_a_given_point(10, x), results_level_10[i])); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_value_at_a_given_point(0, x), results_level_0[i], epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_value_at_a_given_point(10, x), results_level_10[i], epsilon); x += dx; } } @@ -179,37 +178,27 @@ BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) { Persistence_landscape_on_grid second("data/file_with_diagram_2", 0., 1., 100); Persistence_landscape_on_grid sum = p + second; - // cerr << p.compute_maximum() << endl; - // cerr << p.compute_norm_of_landscape(1) << endl; - // cerr << p.compute_norm_of_landscape(2) << endl; - // cerr << p.compute_norm_of_landscape(3) << endl; - // cerr << compute_distance_of_landscapes_on_grid(p,sum,1) << endl; - // cerr << compute_distance_of_landscapes_on_grid(p,sum,2) << endl; - // cerr << compute_distance_of_landscapes_on_grid(p,sum,std::numeric_limits<double>::max()) << endl; - - BOOST_CHECK(fabs(p.compute_maximum() - 0.46) <= 0.00001); - BOOST_CHECK(fabs(p.compute_norm_of_landscape(1) - 27.3373) <= 0.00001); - BOOST_CHECK(fabs(p.compute_norm_of_landscape(2) - 1.84143) <= 0.00001); - BOOST_CHECK(fabs(p.compute_norm_of_landscape(3) - 0.927067) <= 0.00001); - BOOST_CHECK(fabs(compute_distance_of_landscapes_on_grid(p, sum, 1) - 16.8519) <= 0.00005); - BOOST_CHECK(fabs(compute_distance_of_landscapes_on_grid(p, sum, 2) - 1.44542) <= 0.00001); - BOOST_CHECK(fabs(compute_distance_of_landscapes_on_grid(p, sum, std::numeric_limits<double>::max()) - 0.45) <= - 0.00001); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_maximum(), 0.46, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_norm_of_landscape(1), 27.3373, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_norm_of_landscape(2), 1.84143, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_norm_of_landscape(3), 0.927067, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(compute_distance_of_landscapes_on_grid(p, sum, 1), 16.8519, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(compute_distance_of_landscapes_on_grid(p, sum, 2), 1.44542, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(compute_distance_of_landscapes_on_grid(p, sum, std::numeric_limits<double>::max()), + 0.45, epsilon); } BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances) { - std::vector<std::pair<double, double> > diag = - read_persistence_intervals_in_dimension("data/file_with_diagram"); + std::vector<std::pair<double, double> > diag = read_persistence_intervals_in_dimension("data/file_with_diagram"); Persistence_landscape_on_grid p(diag, 0., 1., 100); - std::vector<std::pair<double, double> > diag1 = - read_persistence_intervals_in_dimension("data/file_with_diagram_1"); + std::vector<std::pair<double, double> > diag1 = read_persistence_intervals_in_dimension("data/file_with_diagram_1"); Persistence_landscape_on_grid q(diag1, 0., 1., 100); double dist_numeric_limit_max = p.distance(q, std::numeric_limits<double>::max()); double dist_infinity = p.distance(q, std::numeric_limits<double>::infinity()); - BOOST_CHECK(dist_numeric_limit_max == dist_infinity); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(dist_numeric_limit_max, dist_infinity); } BOOST_AUTO_TEST_CASE(check_computations_of_averages) { @@ -226,16 +215,15 @@ BOOST_AUTO_TEST_CASE(check_computations_of_averages) { BOOST_AUTO_TEST_CASE(check_computations_of_distances) { Persistence_landscape_on_grid p("data/file_with_diagram", 0., 1., 10000); Persistence_landscape_on_grid q("data/file_with_diagram_1", 0., 1., 10000); - BOOST_CHECK(fabs(p.distance(q) - 25.5779) <= 0.00005); - BOOST_CHECK(fabs(p.distance(q, 2) - 2.04891) <= 0.00001); - BOOST_CHECK(fabs(p.distance(q, std::numeric_limits<double>::max()) - 0.359) <= 0.00001); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.distance(q), 25.5779, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.distance(q, 2), 2.04891, epsilon); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.distance(q, std::numeric_limits<double>::max()), 0.359, epsilon); } BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) { Persistence_landscape_on_grid p("data/file_with_diagram", 0., 1., 10000); Persistence_landscape_on_grid q("data/file_with_diagram_1", 0., 1., 10000); - // std::cerr << p.compute_scalar_product( q ) << std::endl; - BOOST_CHECK(almost_equal(p.compute_scalar_product(q), 0.754367)); + GUDHI_TEST_FLOAT_EQUALITY_CHECK(p.compute_scalar_product(q), 0.754367, epsilon); } // Below I am storing the code used to generate tests for that functionality. |