diff options
Diffstat (limited to 'src/Persistence_representations/test/persistence_heat_maps_test.cpp')
| -rw-r--r-- | src/Persistence_representations/test/persistence_heat_maps_test.cpp | 582 |
1 files changed, 274 insertions, 308 deletions
diff --git a/src/Persistence_representations/test/persistence_heat_maps_test.cpp b/src/Persistence_representations/test/persistence_heat_maps_test.cpp index b997382e..48086ba8 100644 --- a/src/Persistence_representations/test/persistence_heat_maps_test.cpp +++ b/src/Persistence_representations/test/persistence_heat_maps_test.cpp @@ -20,8 +20,6 @@ * along with this program. If not, see <http://www.gnu.org/licenses/>. */ - - #define BOOST_TEST_DYN_LINK #define BOOST_TEST_MODULE "Persistence_representations" #include <boost/test/unit_test.hpp> @@ -30,365 +28,333 @@ #include <iostream> - - using namespace Gudhi; using namespace Gudhi::Persistence_representations; +BOOST_AUTO_TEST_CASE(check_construction_of_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(100, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); + p.print_to_file("data/persistence_heat_map_from_file_with_diagram"); + Persistence_heat_maps<constant_scaling_function> q; + q.load_from_file("data/persistence_heat_map_from_file_with_diagram"); - - -BOOST_AUTO_TEST_CASE(check_construction_of_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(100,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - p.print_to_file( "data/persistence_heat_map_from_file_with_diagram" ); - - Persistence_heat_maps<constant_scaling_function> q; - q.load_from_file( "data/persistence_heat_map_from_file_with_diagram" ); - - BOOST_CHECK( p == q ); + BOOST_CHECK(p == q); } +BOOST_AUTO_TEST_CASE(check_averages_of_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 10); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram_1", filter, false, 1000, 0, 10); + Persistence_heat_maps<constant_scaling_function> r("data/file_with_diagram_2", filter, false, 1000, 0, 10); -BOOST_AUTO_TEST_CASE(check_averages_of_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 10 ); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 10 ); - Persistence_heat_maps<constant_scaling_function> r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 10 ); - - Persistence_heat_maps<constant_scaling_function> av; - av.compute_average( {&p,&q,&r} ); - - Persistence_heat_maps<constant_scaling_function> template_average; - template_average.load_from_file( "data/template_average_of_heat_maps" ); - - BOOST_CHECK( av == template_average ); + Persistence_heat_maps<constant_scaling_function> av; + av.compute_average({&p, &q, &r}); + + Persistence_heat_maps<constant_scaling_function> template_average; + template_average.load_from_file("data/template_average_of_heat_maps"); + + BOOST_CHECK(av == template_average); } +BOOST_AUTO_TEST_CASE(check_median_of_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram_1", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> r("data/file_with_diagram_2", filter, false, 1000, 0, 1); + + std::vector<Persistence_heat_maps<constant_scaling_function>*> to_compute_median; + to_compute_median.push_back(&p); + to_compute_median.push_back(&q); + to_compute_median.push_back(&r); + Persistence_heat_maps<constant_scaling_function> median; + median.compute_median(to_compute_median); + + Persistence_heat_maps<constant_scaling_function> template_median; + template_median.load_from_file("data/template_median_of_heat_maps"); -BOOST_AUTO_TEST_CASE(check_median_of_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); - - std::vector< Persistence_heat_maps<constant_scaling_function>* > to_compute_median; - to_compute_median.push_back( &p ); - to_compute_median.push_back( &q ); - to_compute_median.push_back( &r ); - Persistence_heat_maps<constant_scaling_function> median; - median.compute_median( to_compute_median ); - - Persistence_heat_maps<constant_scaling_function> template_median; - template_median.load_from_file( "data/template_median_of_heat_maps" ); - - BOOST_CHECK( median == template_median ); + BOOST_CHECK(median == template_median); } +BOOST_AUTO_TEST_CASE(check_compute_percentage_of_active_of_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram_1", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> r("data/file_with_diagram_2", filter, false, 1000, 0, 1); -BOOST_AUTO_TEST_CASE(check_compute_percentage_of_active_of_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); - - std::vector< Persistence_heat_maps<constant_scaling_function>* > to_compute_percentage_of_active; - to_compute_percentage_of_active.push_back( &p ); - to_compute_percentage_of_active.push_back( &q ); - to_compute_percentage_of_active.push_back( &r ); - Persistence_heat_maps<constant_scaling_function> percentage_of_active; - percentage_of_active.compute_percentage_of_active( to_compute_percentage_of_active , 0.1 ); - - Persistence_heat_maps<constant_scaling_function> template_percentage_of_active; - template_percentage_of_active.load_from_file( "data/template_percentage_of_active_of_heat_maps" ); - - BOOST_CHECK( percentage_of_active == template_percentage_of_active ); + std::vector<Persistence_heat_maps<constant_scaling_function>*> to_compute_percentage_of_active; + to_compute_percentage_of_active.push_back(&p); + to_compute_percentage_of_active.push_back(&q); + to_compute_percentage_of_active.push_back(&r); + Persistence_heat_maps<constant_scaling_function> percentage_of_active; + percentage_of_active.compute_percentage_of_active(to_compute_percentage_of_active, 0.1); + + Persistence_heat_maps<constant_scaling_function> template_percentage_of_active; + template_percentage_of_active.load_from_file("data/template_percentage_of_active_of_heat_maps"); + + BOOST_CHECK(percentage_of_active == template_percentage_of_active); +} + +BOOST_AUTO_TEST_CASE(check_vectorize_for_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 5, 0, 1); + + std::vector<double> p_vect_template; + + p_vect_template.push_back(0.0606728); + p_vect_template.push_back(0.0610023); + p_vect_template.push_back(0.0607978); + p_vect_template.push_back(0.0600647); + p_vect_template.push_back(0.0588224); + p_vect_template.push_back(0.0619829); + p_vect_template.push_back(0.0623218); + p_vect_template.push_back(0.0621152); + p_vect_template.push_back(0.0613686); + p_vect_template.push_back(0.0601016); + p_vect_template.push_back(0.0627679); + p_vect_template.push_back(0.0631134); + p_vect_template.push_back(0.0629066); + p_vect_template.push_back(0.0621528); + p_vect_template.push_back(0.0608719); + p_vect_template.push_back(0.0630073); + p_vect_template.push_back(0.0633564); + p_vect_template.push_back(0.0631511); + p_vect_template.push_back(0.0623968); + p_vect_template.push_back(0.0611132); + p_vect_template.push_back(0.0626947); + p_vect_template.push_back(0.0630445); + p_vect_template.push_back(0.0628425); + p_vect_template.push_back(0.0620941); + p_vect_template.push_back(0.060819); + + std::vector<double> p_vect = p.vectorize(0); + for (size_t i = 0; i != p_vect.size(); ++i) { + BOOST_CHECK(almost_equal(p_vect_template[i], p_vect[i])); + } } -BOOST_AUTO_TEST_CASE(check_vectorize_for_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 5 , 0 , 1 ); - - std::vector<double> p_vect_template; - - p_vect_template.push_back(0.0606728); - p_vect_template.push_back(0.0610023); - p_vect_template.push_back(0.0607978 ); - p_vect_template.push_back(0.0600647 ); - p_vect_template.push_back(0.0588224 ); - p_vect_template.push_back(0.0619829 ); - p_vect_template.push_back(0.0623218 ); - p_vect_template.push_back(0.0621152 ); - p_vect_template.push_back(0.0613686 ); - p_vect_template.push_back(0.0601016 ); - p_vect_template.push_back(0.0627679 ); - p_vect_template.push_back(0.0631134 ); - p_vect_template.push_back(0.0629066 ); - p_vect_template.push_back(0.0621528 ); - p_vect_template.push_back(0.0608719 ); - p_vect_template.push_back(0.0630073 ); - p_vect_template.push_back(0.0633564 ); - p_vect_template.push_back(0.0631511 ); - p_vect_template.push_back(0.0623968 ); - p_vect_template.push_back(0.0611132 ); - p_vect_template.push_back(0.0626947 ); - p_vect_template.push_back(0.0630445 ); - p_vect_template.push_back(0.0628425 ); - p_vect_template.push_back(0.0620941 ); - p_vect_template.push_back(0.060819); - - std::vector<double> p_vect = p.vectorize(0); - for ( size_t i = 0 ; i != p_vect.size() ; ++i ) - { - BOOST_CHECK( almost_equal( p_vect_template[i] , p_vect[i] ) ); - } +BOOST_AUTO_TEST_CASE(check_distance_for_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram_1", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> r("data/file_with_diagram_2", filter, false, 1000, 0, 1); + + // cerr << p.distance( p ) << endl; + // cerr << p.distance( q ) << endl; + // cerr << p.distance( r ) << endl; + // cerr << q.distance( p ) << endl; + // cerr << q.distance( q ) << endl; + // cerr << q.distance( r ) << endl; + // cerr << r.distance( p ) << endl; + // cerr << r.distance( q ) << endl; + // cerr << r.distance( r ) << endl; + // 0 624.183 415.815 + // 624.183 0 528.06Z + // 415.815 528.066 0 + + BOOST_CHECK(fabs(p.distance(p) - 0) < 0.0005); + BOOST_CHECK(fabs(p.distance(q) - 624.183) < 0.0005); + BOOST_CHECK(fabs(p.distance(r) - 415.815) < 0.0005); + BOOST_CHECK(fabs(q.distance(p) - 624.183) < 0.0005); + BOOST_CHECK(fabs(q.distance(q) - 0) < 0.0005); + BOOST_CHECK(fabs(q.distance(r) - 528.066) < 0.0005); + BOOST_CHECK(fabs(r.distance(p) - 415.815) < 0.0005); + BOOST_CHECK(fabs(r.distance(q) - 528.066) < 0.0005); + BOOST_CHECK(fabs(r.distance(r) - 0) < 0.0005); } +BOOST_AUTO_TEST_CASE(check_projections_to_R_for_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram_1", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> r("data/file_with_diagram_2", filter, false, 1000, 0, 1); -BOOST_AUTO_TEST_CASE(check_distance_for_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); - - //cerr << p.distance( p ) << endl; - //cerr << p.distance( q ) << endl; - //cerr << p.distance( r ) << endl; - //cerr << q.distance( p ) << endl; - //cerr << q.distance( q ) << endl; - //cerr << q.distance( r ) << endl; - //cerr << r.distance( p ) << endl; - //cerr << r.distance( q ) << endl; - //cerr << r.distance( r ) << endl; - //0 624.183 415.815 - //624.183 0 528.06Z - //415.815 528.066 0 - - BOOST_CHECK( fabs( p.distance( p ) - 0) < 0.0005); - BOOST_CHECK( fabs( p.distance( q ) - 624.183)< 0.0005); - BOOST_CHECK( fabs( p.distance( r ) - 415.815)< 0.0005); - BOOST_CHECK( fabs( q.distance( p ) - 624.183)< 0.0005); - BOOST_CHECK( fabs( q.distance( q ) - 0)< 0.0005); - BOOST_CHECK( fabs( q.distance( r ) - 528.066)< 0.0005); - BOOST_CHECK( fabs( r.distance( p ) - 415.815)< 0.0005); - BOOST_CHECK( fabs( r.distance( q ) - 528.066)< 0.0005); - BOOST_CHECK( fabs( r.distance( r ) - 0)< 0.0005); + // cerr << p.project_to_R(0) << endl; + // cerr << q.project_to_R(0) << endl; + // cerr << r.project_to_R(0) << endl; + + BOOST_CHECK(fabs(p.project_to_R(0) - 44.3308) < 0.0005); + BOOST_CHECK(fabs(q.project_to_R(0) - 650.568) < 0.0005); + BOOST_CHECK(fabs(r.project_to_R(0) - 429.287) < 0.0005); +} + +BOOST_AUTO_TEST_CASE(check_scalar_products_for_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram_1", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> r("data/file_with_diagram_2", filter, false, 1000, 0, 1); + + // cerr << p.compute_scalar_product( p ) << endl; + // cerr << p.compute_scalar_product( q ) << endl; + // cerr << p.compute_scalar_product( r ) << endl; + // cerr << q.compute_scalar_product( p ) << endl; + // cerr << q.compute_scalar_product( q ) << endl; + // cerr << q.compute_scalar_product( r ) << endl; + // cerr << r.compute_scalar_product( p ) << endl; + // cerr << r.compute_scalar_product( q ) << endl; + // cerr << r.compute_scalar_product( r ) << endl; + + BOOST_CHECK(fabs(p.compute_scalar_product(p) - 0.0345687) < 0.0005); + BOOST_CHECK(fabs(p.compute_scalar_product(q) - 0.0509357) < 0.0005); + BOOST_CHECK(fabs(p.compute_scalar_product(r) - 0.0375608) < 0.0005); + BOOST_CHECK(fabs(q.compute_scalar_product(p) - 0.0509357) < 0.0005); + BOOST_CHECK(fabs(q.compute_scalar_product(q) - 1.31293) < 0.0005); + BOOST_CHECK(fabs(q.compute_scalar_product(r) - 0.536799) < 0.0005); + BOOST_CHECK(fabs(r.compute_scalar_product(p) - 0.0375608) < 0.0005); + BOOST_CHECK(fabs(r.compute_scalar_product(q) - 0.536799) < 0.0005); + BOOST_CHECK(fabs(r.compute_scalar_product(r) - 0.672907) < 0.0005); } +BOOST_AUTO_TEST_CASE(check_arythmetic_operations_for_heat_maps) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(30, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram_1", filter, false, 1000, 0, 1); + Persistence_heat_maps<constant_scaling_function> sum = p + q; + Persistence_heat_maps<constant_scaling_function> difference = p - q; + Persistence_heat_maps<constant_scaling_function> multiply_by_scalar = 2 * p; -BOOST_AUTO_TEST_CASE(check_projections_to_R_for_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); + // sum.print_to_file( "sum" ); + // difference.print_to_file( "difference" ); + // multiply_by_scalar.print_to_file( "multiply_by_scalar" ); - //cerr << p.project_to_R(0) << endl; - //cerr << q.project_to_R(0) << endl; - //cerr << r.project_to_R(0) << endl; + Persistence_heat_maps<constant_scaling_function> sum_template; + sum_template.load_from_file("data/heat_map_sum"); + Persistence_heat_maps<constant_scaling_function> difference_template; + difference_template.load_from_file("data/heat_map_difference"); + Persistence_heat_maps<constant_scaling_function> multiply_by_scalar_template; + multiply_by_scalar_template.load_from_file("data/heat_map_multiply_by_scalar"); - BOOST_CHECK( fabs( p.project_to_R(0) - 44.3308 )< 0.0005); - BOOST_CHECK( fabs( q.project_to_R(0) - 650.568 )< 0.0005); - BOOST_CHECK( fabs( r.project_to_R(0) - 429.287 )< 0.0005); + BOOST_CHECK(sum == sum_template); } +BOOST_AUTO_TEST_CASE(check_distance_of_heat_maps_infinite_power_parameters) { + std::vector<std::vector<double> > filter = create_Gaussian_filter(100, 1); + Persistence_heat_maps<constant_scaling_function> p("data/file_with_diagram", filter, false, 1000, 0, 1); -BOOST_AUTO_TEST_CASE(check_scalar_products_for_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); - - //cerr << p.compute_scalar_product( p ) << endl; - //cerr << p.compute_scalar_product( q ) << endl; - //cerr << p.compute_scalar_product( r ) << endl; - //cerr << q.compute_scalar_product( p ) << endl; - //cerr << q.compute_scalar_product( q ) << endl; - //cerr << q.compute_scalar_product( r ) << endl; - //cerr << r.compute_scalar_product( p ) << endl; - //cerr << r.compute_scalar_product( q ) << endl; - //cerr << r.compute_scalar_product( r ) << endl; - - - BOOST_CHECK( fabs( p.compute_scalar_product( p ) - 0.0345687 )< 0.0005); - BOOST_CHECK( fabs( p.compute_scalar_product( q ) - 0.0509357 )< 0.0005); - BOOST_CHECK( fabs( p.compute_scalar_product( r ) - 0.0375608 )< 0.0005); - BOOST_CHECK( fabs( q.compute_scalar_product( p ) - 0.0509357 )< 0.0005); - BOOST_CHECK( fabs( q.compute_scalar_product( q ) - 1.31293 )< 0.0005); - BOOST_CHECK( fabs( q.compute_scalar_product( r ) - 0.536799)< 0.0005); - BOOST_CHECK( fabs( r.compute_scalar_product( p ) - 0.0375608)< 0.0005); - BOOST_CHECK( fabs( r.compute_scalar_product( q ) - 0.536799)< 0.0005); - BOOST_CHECK( fabs( r.compute_scalar_product( r ) - 0.672907)< 0.0005); - -} + std::vector<std::vector<double> > filter_2 = create_Gaussian_filter(150, 1); + Persistence_heat_maps<constant_scaling_function> q("data/file_with_diagram", filter_2, true, 1000, 0, 1); + double distance_max_double_parameter = p.distance(q, std::numeric_limits<double>::max()); + double distance_inf_double_parameter = p.distance(q, std::numeric_limits<double>::infinity()); + // std::cerr << "distance_max_double_parameter: " << distance_max_double_parameter << std::endl; + // std::cerr << "distance_inf_double_parameter: " << distance_inf_double_parameter << std::endl; -BOOST_AUTO_TEST_CASE(check_arythmetic_operations_for_heat_maps) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); - - Persistence_heat_maps<constant_scaling_function> sum = p + q; - Persistence_heat_maps<constant_scaling_function> difference = p - q; - Persistence_heat_maps<constant_scaling_function> multiply_by_scalar = 2*p; - - //sum.print_to_file( "sum" ); - //difference.print_to_file( "difference" ); - //multiply_by_scalar.print_to_file( "multiply_by_scalar" ); - - Persistence_heat_maps<constant_scaling_function> sum_template; - sum_template.load_from_file( "data/heat_map_sum" ); - Persistence_heat_maps<constant_scaling_function> difference_template; - difference_template.load_from_file( "data/heat_map_difference" ); - Persistence_heat_maps<constant_scaling_function> multiply_by_scalar_template; - multiply_by_scalar_template.load_from_file( "data/heat_map_multiply_by_scalar" ); - - BOOST_CHECK( sum == sum_template ); + BOOST_CHECK(distance_max_double_parameter == distance_inf_double_parameter); } -BOOST_AUTO_TEST_CASE(check_distance_of_heat_maps_infinite_power_parameters) -{ - std::vector< std::vector<double> > filter = create_Gaussian_filter(100,1); - Persistence_heat_maps<constant_scaling_function> p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); - - std::vector< std::vector<double> > filter_2 = create_Gaussian_filter(150,1); - Persistence_heat_maps<constant_scaling_function> q( "data/file_with_diagram" , filter_2 , true , 1000 , 0 , 1 ); - - double distance_max_double_parameter = p.distance( q , std::numeric_limits<double>::max() ); - double distance_inf_double_parameter = p.distance( q , std::numeric_limits<double>::infinity() ); - - //std::cerr << "distance_max_double_parameter: " << distance_max_double_parameter << std::endl; - //std::cerr << "distance_inf_double_parameter: " << distance_inf_double_parameter << std::endl; - - BOOST_CHECK( distance_max_double_parameter == distance_inf_double_parameter ); -} +// Below I am storing the code used to generate tests for that functionality. +/* + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(0.5,0.5) ); + std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 100 , 0 , 1 ); + p.plot( "heat_map_1" ); + std::vector< std::pair< double,double > > intervals2; + intervals2.push_back( std::make_pair(7,12) ); + Persistence_heat_maps q( intervals2 , filter , constant_function, false , 100 , 0 , 10 ); + q.plot( "heat_map_2" ); +*/ +/* + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(0.5,0.5) ); + std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 10 , 0 , 1 ); + p.write_to_file( "aaa" ); + + Persistence_heat_maps q; + q.load_from_file( "aaa" ); + cerr << ( p == q ) << endl; + */ -//Below I am storing the code used to generate tests for that functionality. /* - std::vector< std::pair< double,double > > intervals; - intervals.push_back( std::make_pair(0.5,0.5) ); - std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); - Persistence_heat_maps p( intervals , filter , constant_function, false , 100 , 0 , 1 ); - p.plot( "heat_map_1" ); - - - std::vector< std::pair< double,double > > intervals2; - intervals2.push_back( std::make_pair(7,12) ); - Persistence_heat_maps q( intervals2 , filter , constant_function, false , 100 , 0 , 10 ); - q.plot( "heat_map_2" ); + std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 100 , 0 , 1 ); + p.plot( "heat_map_1" ); */ -/* - std::vector< std::pair< double,double > > intervals; - intervals.push_back( std::make_pair(0.5,0.5) ); - std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); - Persistence_heat_maps p( intervals , filter , constant_function, false , 10 , 0 , 1 ); - p.write_to_file( "aaa" ); - - Persistence_heat_maps q; - q.load_from_file( "aaa" ); - - cerr << ( p == q ) << endl; - */ /* - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 100 , 0 , 1 ); - p.plot( "heat_map_1" ); -*/ - -/* //test to construct persistence heat map: - std::vector< std::vector<double> > filter = create_Gaussian_filter(100,1); - Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); - p.print_to_file( "persistence_heat_map_from_file_with_diagram" ); - - Persistence_heat_maps q; - q.load_from_file( "persistence_heat_map_from_file_with_diagram" ); - - cerr << (p == q) << endl; + std::vector< std::vector<double> > filter = create_Gaussian_filter(100,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); + p.print_to_file( "persistence_heat_map_from_file_with_diagram" ); + + Persistence_heat_maps q; + q.load_from_file( "persistence_heat_map_from_file_with_diagram" ); + + cerr << (p == q) << endl; */ /* - //test of computations of a mean: - std::vector< std::pair< double,double > > intervals; - intervals.push_back( std::make_pair(5,5) ); - std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); - Persistence_heat_maps p( intervals , filter , constant_function, false , 100 , 0 , 10 ); - p.plot( "heat_map_1" ); - - - std::vector< std::pair< double,double > > intervals2; - intervals2.push_back( std::make_pair(7,7) ); - Persistence_heat_maps q( intervals2 , filter , constant_function, false , 100 , 0 , 10 ); - q.plot( "heat_map_2" ); - - - Persistence_heat_maps av; - av.compute_average( { &P , &q } ); - av.plot( "average" ); + //test of computations of a mean: + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(5,5) ); + std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 100 , 0 , 10 ); + p.plot( "heat_map_1" ); + + + std::vector< std::pair< double,double > > intervals2; + intervals2.push_back( std::make_pair(7,7) ); + Persistence_heat_maps q( intervals2 , filter , constant_function, false , 100 , 0 , 10 ); + q.plot( "heat_map_2" ); + + + Persistence_heat_maps av; + av.compute_average( { &P , &q } ); + av.plot( "average" ); */ /* - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 10 ); - Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 10 ); - Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 10 ); - Persistence_heat_maps av; - av.compute_average( {&p,&q,&r} ); - - av.print_to_file( "template_average_of_heat_maps" ); -*/ + std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps av; + av.compute_average( {&p,&q,&r} ); + + av.print_to_file( "template_average_of_heat_maps" ); +*/ /* - std::vector< std::pair< double,double > > intervals; - intervals.push_back( std::make_pair(5,5) ); - std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); - Persistence_heat_maps p( intervals , filter , constant_function, false , 10 , 0 , 10 ); - p.plot( "heat_map_1" ); - - std::vector< std::pair< double,double > > intervals2; - intervals2.push_back( std::make_pair(7,7) ); - Persistence_heat_maps q( intervals2 , filter , constant_function, false , 10 , 0 , 10 ); - q.plot( "heat_map_2" ); - - Persistence_heat_maps median; - median.compute_median( {&p,&q} ); - median.plot( "median" ); + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(5,5) ); + std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 10 , 0 , 10 ); + p.plot( "heat_map_1" ); + + std::vector< std::pair< double,double > > intervals2; + intervals2.push_back( std::make_pair(7,7) ); + Persistence_heat_maps q( intervals2 , filter , constant_function, false , 10 , 0 , 10 ); + q.plot( "heat_map_2" ); + + Persistence_heat_maps median; + median.compute_median( {&p,&q} ); + median.plot( "median" ); */ /* - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps median; - median.compute_median( {&p,&q,&r} ); - median.print_to_file( "template_median_of_heat_maps" ); + std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps median; + median.compute_median( {&p,&q,&r} ); + median.print_to_file( "template_median_of_heat_maps" ); */ - /* - std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); - Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); - - Persistence_heat_maps percentage_of_active; - percentage_of_active.compute_percentage_of_active( {&p,&q,&r} , 0.1 ); - - percentage_of_active.print_to_file( "template_percentage_of_active_of_heat_maps" ); - //percentage_of_active.plot( "template_percentage_of_active_of_heat_maps" ); + std::vector< std::vector<double> > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); + + Persistence_heat_maps percentage_of_active; + percentage_of_active.compute_percentage_of_active( {&p,&q,&r} , 0.1 ); + + percentage_of_active.print_to_file( "template_percentage_of_active_of_heat_maps" ); + //percentage_of_active.plot( "template_percentage_of_active_of_heat_maps" ); */ |