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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +0100
parents 409a22968d5e
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44
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1 % UTP_AO_MEDIAN a set of UTPs for the ao/median method
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2 %
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3 % M Hewitson 06-08-08
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4 %
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5 % $Id: utp_ao_median.m,v 1.14 2011/04/17 10:47:43 hewitson Exp $
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6 %
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7
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8 % <MethodDescription>
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9 %
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10 % The median method of the ao class computes the median value of the y
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11 % and/or x data.
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12 %
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13 % </MethodDescription>
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14
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15 function results = utp_ao_median(varargin)
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16
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17 % Check the inputs
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18 if nargin == 0
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19
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20 % Some keywords
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21 class = 'ao';
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22 mthd = 'median';
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23
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24 results = [];
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25 disp('******************************************************');
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26 disp(['**** Running UTPs for ' class '/' mthd]);
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27 disp('******************************************************');
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28
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29 % Test AOs
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30 [at1,at2,at3,at4,at5,at6,atvec,atmat] = eval(['get_test_objects_' class]);
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31
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32 % Overide to include only data2D objects
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33 atmat = [at1 at5 at2; at2 at1 at6];
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34
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35 % Exception list for the UTPs:
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36 [ple1,ple2,ple3,ple4,ple5,ple6] = get_test_ples();
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37
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38 % Run the tests
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39 results = [results utp_01]; % getInfo call
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40 results = [results utp_02(mthd, atvec, @algo_test_y, [], ple3)]; % Vector input
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41 results = [results utp_03(mthd, atmat, @algo_test_y, [], ple3)]; % Matrix input
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42 results = [results utp_04(mthd, at1, at2, at3, @algo_test_y, [], ple3)]; % List input
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43 results = [results utp_05(mthd, at1, atvec, atmat, @algo_test_y, [], ple3)]; % Test with mixed input
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44 results = [results utp_06(mthd, at1, [], ple2)]; % Test history is working
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45 results = [results utp_07(mthd, at1, [], ple1)]; % Test the modify call works
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46 results = [results utp_108(mthd, at1, ple2)]; % Test with additional plist with the key 'axis'
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47 results = [results utp_09(mthd, at5, at6)]; % Test input data shape == output data shape
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48 results = [results utp_10(mthd, at5, at6, ple2)]; % Test output of the data
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49 results = [results utp_11(mthd, at1, ple1)]; % Test plotinfo doesn't disappear
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50
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51 disp('Done.');
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52 disp('******************************************************');
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53
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54 elseif nargin == 1 % Check for UTP functions
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55 if strcmp(varargin{1}, 'isutp')
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56 results = 1;
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57 else
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58 results = 0;
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59 end
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60 else
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61 error('### Incorrect inputs')
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62 end
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63
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64 %% Algorithm test for UTP 02,03,04,05
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65
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66 function atest = algo_test_y(in, out, pli)
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67 atest = true;
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68 if ~isequal(median(in.data.getY).', out.data.getY)
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69 atest = false;
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70 end
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71 end
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72
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73 %% UTP_01
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74
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75 % <TestDescription>
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76 %
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77 % Tests that the getInfo call works for this method.
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78 %
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79 % </TestDescription>
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80 function result = utp_01
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81
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82
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83 % <SyntaxDescription>
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84 %
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85 % Test that the getInfo call works for no sets, all sets, and each set
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86 % individually.
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87 %
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88 % </SyntaxDescription>
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89
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90 try
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91 % <SyntaxCode>
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92 % Call for no sets
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93 io(1) = eval([class '.getInfo(''' mthd ''', ''None'')']);
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94 % Call for all sets
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95 io(2) = eval([class '.getInfo(''' mthd ''')']);
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96 % Call for each set
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97 for kk=1:numel(io(2).sets)
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98 io(kk+2) = eval([class '.getInfo(''' mthd ''', ''' io(2).sets{kk} ''')']);
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99 end
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100 % </SyntaxCode>
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101 stest = true;
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102 catch err
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103 disp(err.message)
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104 stest = false;
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105 end
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106
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107 % <AlgoDescription>
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108 %
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109 % 1) Check that getInfo call returned an minfo object in all cases.
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110 % 2) Check that all plists have the correct parameters.
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111 %
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112 % </AlgoDescription>
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113
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114 atest = true;
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115 if stest
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116 % <AlgoCode>
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117 % check we have minfo objects
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118 if isa(io, 'minfo')
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119 atest = check_axis_sets(io);
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120 end
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121 % </AlgoCode>
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122 else
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123 atest = false;
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124 end
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125
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126 % Return a result structure
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127 result = utp_prepare_result(atest, stest, dbstack, mfilename);
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128 end % END UTP_01
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129
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130 end