1 | // $Id: distance_test.cc 816 2007-03-17 00:11:31Z peter $ |
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2 | |
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3 | /* |
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4 | Copyright (C) The authors contributing to this file. |
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5 | |
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6 | This file is part of the yat library, http://lev.thep.lu.se/trac/yat |
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7 | |
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8 | The yat library is free software; you can redistribute it and/or |
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9 | modify it under the terms of the GNU General Public License as |
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10 | published by the Free Software Foundation; either version 2 of the |
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11 | License, or (at your option) any later version. |
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12 | |
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13 | The yat library is distributed in the hope that it will be useful, |
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14 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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15 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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16 | General Public License for more details. |
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17 | |
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18 | You should have received a copy of the GNU General Public License |
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19 | along with this program; if not, write to the Free Software |
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20 | Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA |
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21 | 02111-1307, USA. |
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22 | */ |
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23 | |
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24 | #include "yat/classifier/DataLookup1D.h" |
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25 | #include "yat/statistics/Distance.h" |
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26 | #include "yat/statistics/Euclidean.h" |
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27 | #include "yat/statistics/PearsonDistance.h" |
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28 | #include "yat/utility/vector.h" |
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29 | |
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30 | #include <cassert> |
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31 | #include <cmath> |
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32 | #include <fstream> |
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33 | #include <iostream> |
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34 | |
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35 | |
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36 | using namespace theplu::yat; |
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37 | |
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38 | bool test(const utility::vector&, const utility::vector&, |
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39 | const statistics::Distance*, double, std::ostream*); |
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40 | |
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41 | int main(const int argc,const char* argv[]) |
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42 | |
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43 | { |
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44 | std::ostream* error; |
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45 | if (argc>1 && argv[1]==std::string("-v")) |
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46 | error = &std::cerr; |
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47 | else { |
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48 | error = new std::ofstream("/dev/null"); |
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49 | if (argc>1) |
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50 | std::cout << "distance_test -v : for printing extra information\n"; |
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51 | } |
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52 | *error << "testing distance" << std::endl; |
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53 | bool ok = true; |
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54 | |
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55 | utility::vector a(3,1); |
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56 | a(1) = 2; |
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57 | utility::vector b(3,0); |
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58 | b(2) = 1; |
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59 | |
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60 | statistics::Distance* distance = new statistics::PearsonDistance; |
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61 | ok = ok && test(a, b, distance, 1.5, error); |
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62 | delete distance; |
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63 | |
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64 | distance = new statistics::Euclidean; |
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65 | ok = ok && test(a, b, distance, 5, error); |
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66 | delete distance; |
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67 | |
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68 | |
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69 | if (error!=&std::cerr) |
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70 | delete error; |
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71 | |
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72 | if (ok=true) |
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73 | return 0; |
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74 | return -1; |
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75 | } |
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76 | |
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77 | bool test(const utility::vector& a, const utility::vector& b, |
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78 | const statistics::Distance* distance, double facit, |
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79 | std::ostream* error) |
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80 | { |
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81 | if (a!=b && !test(a, a, distance, 0, error)) |
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82 | return false; |
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83 | if ((*distance)(a,b) != facit) { |
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84 | *error << "Error: calculating distance with utility::vector\n" |
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85 | << " expected " << facit << " got " << (*distance)(a,b) |
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86 | << std::endl; |
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87 | return false; |
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88 | } |
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89 | utility::vector ones(a.size(), 1.0); |
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90 | if ((*distance)(a,b, ones, ones) != facit) { |
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91 | *error << "Error: calculating distance with four utility::vector\n" |
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92 | << " expected " << facit << " got " |
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93 | << (*distance)(a,b, ones, ones) |
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94 | << std::endl; |
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95 | return false; |
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96 | } |
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97 | classifier::DataLookup1D a1(a); |
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98 | classifier::DataLookup1D b1(b); |
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99 | if ((*distance)(a1,b1) != facit) { |
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100 | *error << "Error: calculating distance with classifier::DataLookup1D\n" |
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101 | << " expected " << facit << " got " << (*distance)(a1,b1) |
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102 | << std::endl; |
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103 | return false; |
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104 | } |
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105 | classifier::DataLookup1D ones1(a1.size(), 1.0); |
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106 | if ((*distance)(a1,b1, ones1, ones1) != facit) { |
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107 | *error << "Error: calculating distance with four utility::vector\n" |
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108 | << " expected " << facit << " got " |
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109 | << (*distance)(a1,b1, ones1, ones1) |
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110 | << std::endl; |
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111 | return false; |
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112 | } |
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113 | |
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114 | |
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115 | |
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116 | return true; |
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117 | } |
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118 | |
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119 | |
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