/* This file is part of the Gudhi Library. The Gudhi library * (Geometric Understanding in Higher Dimensions) is a generic C++ * library for computational topology. * * Author(s): Pawel Dlotko * * Copyright (C) 2015 INRIA (France) * * This program is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ #define BOOST_TEST_DYN_LINK #define BOOST_TEST_MODULE "Persistence_representations" #include #include #include #include #include using namespace Gudhi; using namespace Gudhi::Persistence_representations; double epsilon = 0.0000005; BOOST_AUTO_TEST_CASE(check_construction_of_landscape) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); Persistence_landscape q; q.load_landscape_from_file( "data/file_with_landscape_from_file_with_diagram" ); BOOST_CHECK( p == q ); } BOOST_AUTO_TEST_CASE(check_construction_of_landscape_form_gudhi_style_file) { Persistence_landscape p( "data/persistence_file_with_four_entries_per_line" , 1 ); //p.print_to_file("persistence_file_with_four_entries_per_line_landscape"); Persistence_landscape q; q.load_landscape_from_file( "data/persistence_file_with_four_entries_per_line_landscape" ); BOOST_CHECK( p == q ); } BOOST_AUTO_TEST_CASE(check_computations_of_integrals) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); double integral = p.compute_integral_of_landscape(); //cerr << integral << " " << 2.34992 << endl; BOOST_CHECK( fabs( integral - 2.34992 ) <= 0.00001 ); } BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector< double > integrals_fir_different_levels; integrals_fir_different_levels.push_back( 0.216432 ); integrals_fir_different_levels.push_back( 0.204763 ); integrals_fir_different_levels.push_back( 0.188793 ); integrals_fir_different_levels.push_back( 0.178856 ); integrals_fir_different_levels.push_back( 0.163142 ); integrals_fir_different_levels.push_back( 0.155015 ); integrals_fir_different_levels.push_back( 0.143046 ); integrals_fir_different_levels.push_back( 0.133765 ); integrals_fir_different_levels.push_back( 0.123531 ); integrals_fir_different_levels.push_back( 0.117393 ); integrals_fir_different_levels.push_back( 0.111269 ); integrals_fir_different_levels.push_back( 0.104283 ); integrals_fir_different_levels.push_back( 0.0941308 ); integrals_fir_different_levels.push_back( 0.0811208 ); integrals_fir_different_levels.push_back( 0.0679001 ); integrals_fir_different_levels.push_back( 0.0580801 ); integrals_fir_different_levels.push_back( 0.0489647 ); integrals_fir_different_levels.push_back( 0.0407936 ); integrals_fir_different_levels.push_back( 0.0342599 ); integrals_fir_different_levels.push_back( 0.02896 ); integrals_fir_different_levels.push_back( 0.0239881 ); integrals_fir_different_levels.push_back( 0.0171792 ); integrals_fir_different_levels.push_back( 0.0071511 ); integrals_fir_different_levels.push_back( 0.00462067 ); integrals_fir_different_levels.push_back( 0.00229033 ); integrals_fir_different_levels.push_back( 0.000195296 ); for ( size_t level = 0 ; level != p.size() ; ++level ) { double integral = p.compute_integral_of_a_level_of_a_landscape( level ); BOOST_CHECK( fabs( integral - integrals_fir_different_levels[level] ) <= 0.00001 ); } } BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector integrals_fir_different_powers; integrals_fir_different_powers.push_back( 17.1692 ); integrals_fir_different_powers.push_back( 2.34992 ); integrals_fir_different_powers.push_back( 0.49857 ); integrals_fir_different_powers.push_back( 0.126405 ); integrals_fir_different_powers.push_back( 0.0355235 ); for ( size_t power = 0 ; power != 5 ; ++power ) { double integral = p.compute_integral_of_landscape( (double)power ); BOOST_CHECK( fabs( integral - integrals_fir_different_powers[power] ) <= 0.00005 ); } } BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.0) ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.1) - 0.0692324 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.2) - 0.163369 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.3) - 0.217115 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.0) ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.1) - 0.0633688 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.2) - 0.122361 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.3) - 0.195401 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.0) ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.1) - 0.0455386 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.2) - 0.0954012 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.3) - 0.185282 ) <= 0.00001 ); } BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); Persistence_landscape second; second.load_landscape_from_file("data/file_with_landscape_from_file_with_diagram_1" ); Persistence_landscape sum = p + second; Persistence_landscape difference = p - second; Persistence_landscape multiply_by_scalar = 10*p; Persistence_landscape template_sum; template_sum.load_landscape_from_file( "data/sum" ); Persistence_landscape template_difference; template_difference.load_landscape_from_file( "data/difference" ); Persistence_landscape template_multiply_by_scalar; template_multiply_by_scalar.load_landscape_from_file( "data/multiply_by_scalar" ); BOOST_CHECK( sum == template_sum ); BOOST_CHECK( difference == template_difference ); BOOST_CHECK( multiply_by_scalar == template_multiply_by_scalar ); } BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); Persistence_landscape second; second.load_landscape_from_file("data/file_with_landscape_from_file_with_diagram_1" ); Persistence_landscape sum = p + second; BOOST_CHECK( fabs( p.compute_maximum() - 0.431313 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_norm_of_landscape(1) - 2.34992 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_norm_of_landscape(2) - 0.706095 ) <= 0.00001 ); BOOST_CHECK( fabs( p.compute_norm_of_landscape(3) - 0.501867 ) <= 0.00001 ); BOOST_CHECK( fabs( compute_distance_of_landscapes(p,sum,1) - 27.9323 ) <= 0.00005 ); BOOST_CHECK( fabs( compute_distance_of_landscapes(p,sum,2) - 2.35199 ) <= 0.00001 ); BOOST_CHECK( fabs(compute_distance_of_landscapes( p , sum , std::numeric_limits::max() ) - 0.464478 ) <= 0.00001 ); } BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector< std::pair< double , double > > diag1 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); Persistence_landscape q( diag1 ); double dist_numeric_limit_max = p.distance( q,std::numeric_limits::max() ); double dist_infinity = p.distance( q,std::numeric_limits::infinity() ); BOOST_CHECK( dist_numeric_limit_max == dist_infinity ); } BOOST_AUTO_TEST_CASE(check_computations_of_averages) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector< std::pair< double , double > > diag2 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); Persistence_landscape q( diag2 ); Persistence_landscape av; av.compute_average( {&p,&q} ); Persistence_landscape template_average; template_average.load_landscape_from_file( "data/average" ); BOOST_CHECK ( template_average == av ); } BOOST_AUTO_TEST_CASE(check_computations_of_distances) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector< std::pair< double , double > > diag2 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); Persistence_landscape q( diag2 ); BOOST_CHECK( fabs( p.distance( q )- 25.5824) <= 0.00005 ); BOOST_CHECK( fabs( p.distance( q , 2) - 2.12636 ) <= 0.00001 ); BOOST_CHECK( fabs( p.distance( q , std::numeric_limits::max() )-0.359068 ) <= 0.00001 ); } BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) { std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector< std::pair< double , double > > diag2 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); Persistence_landscape q( diag2 ); BOOST_CHECK( fabs( p.compute_scalar_product( q ) - 0.754498 ) <= 0.00001 ); } //Below I am storing the code used to generate tests for that functionality. /* if ( argc != 2 ) { std::cerr << "To run this program, please provide a name of a file with persistence landscape \n"; //return 1; } Persistence_landscape p("../test/data/file_with_diagram"); Persistence_landscape q; q.load_landscape_from_file( "file_with_landscape_from_file_with_diagram" ); if ( p != q ) { cout << "Not equal \n"; } double integral = p.compute_integral_of_landscape(); cout << "integral : " << integral <::max() ) << endl; { Persistence_landscape p( "../test/data/file_with_diagram" ); Persistence_landscape q( "../test/data/file_with_diagram_1" ); Persistence_landscape av; av.compute_average( {&p,&q} ); Persistence_landscape template_average; template_average.load_landscape_from_file( "average" ); if ( template_average != av ) { cerr << "We have a problem with average \n"; } } { Persistence_landscape p( "../test/data/file_with_diagram" ); Persistence_landscape q( "../test/data/file_with_diagram_1" ); cout << "L^1 distance : " << p.distance( &q ) << endl; cout << "L^2 distance : " << p.distance( &q , 2) << endl; cout << "L^infty distance : " << p.distance( &q , std::numeric_limits::max() ) << endl; } { Persistence_landscape p( "../test/data/file_with_diagram" ); Persistence_landscape q( "../test/data/file_with_diagram_1" ); cout << "Scalar product : " << p.compute_scalar_product( &q ) << endl; } */