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Merge
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +0100
parents 409a22968d5e
children
comparison
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42:f90d4f666cc7 45:a59cdb8aaf31
1 % UTP_AO_MEDIAN a set of UTPs for the ao/median method
2 %
3 % M Hewitson 06-08-08
4 %
5 % $Id: utp_ao_median.m,v 1.14 2011/04/17 10:47:43 hewitson Exp $
6 %
7
8 % <MethodDescription>
9 %
10 % The median method of the ao class computes the median value of the y
11 % and/or x data.
12 %
13 % </MethodDescription>
14
15 function results = utp_ao_median(varargin)
16
17 % Check the inputs
18 if nargin == 0
19
20 % Some keywords
21 class = 'ao';
22 mthd = 'median';
23
24 results = [];
25 disp('******************************************************');
26 disp(['**** Running UTPs for ' class '/' mthd]);
27 disp('******************************************************');
28
29 % Test AOs
30 [at1,at2,at3,at4,at5,at6,atvec,atmat] = eval(['get_test_objects_' class]);
31
32 % Overide to include only data2D objects
33 atmat = [at1 at5 at2; at2 at1 at6];
34
35 % Exception list for the UTPs:
36 [ple1,ple2,ple3,ple4,ple5,ple6] = get_test_ples();
37
38 % Run the tests
39 results = [results utp_01]; % getInfo call
40 results = [results utp_02(mthd, atvec, @algo_test_y, [], ple3)]; % Vector input
41 results = [results utp_03(mthd, atmat, @algo_test_y, [], ple3)]; % Matrix input
42 results = [results utp_04(mthd, at1, at2, at3, @algo_test_y, [], ple3)]; % List input
43 results = [results utp_05(mthd, at1, atvec, atmat, @algo_test_y, [], ple3)]; % Test with mixed input
44 results = [results utp_06(mthd, at1, [], ple2)]; % Test history is working
45 results = [results utp_07(mthd, at1, [], ple1)]; % Test the modify call works
46 results = [results utp_108(mthd, at1, ple2)]; % Test with additional plist with the key 'axis'
47 results = [results utp_09(mthd, at5, at6)]; % Test input data shape == output data shape
48 results = [results utp_10(mthd, at5, at6, ple2)]; % Test output of the data
49 results = [results utp_11(mthd, at1, ple1)]; % Test plotinfo doesn't disappear
50
51 disp('Done.');
52 disp('******************************************************');
53
54 elseif nargin == 1 % Check for UTP functions
55 if strcmp(varargin{1}, 'isutp')
56 results = 1;
57 else
58 results = 0;
59 end
60 else
61 error('### Incorrect inputs')
62 end
63
64 %% Algorithm test for UTP 02,03,04,05
65
66 function atest = algo_test_y(in, out, pli)
67 atest = true;
68 if ~isequal(median(in.data.getY).', out.data.getY)
69 atest = false;
70 end
71 end
72
73 %% UTP_01
74
75 % <TestDescription>
76 %
77 % Tests that the getInfo call works for this method.
78 %
79 % </TestDescription>
80 function result = utp_01
81
82
83 % <SyntaxDescription>
84 %
85 % Test that the getInfo call works for no sets, all sets, and each set
86 % individually.
87 %
88 % </SyntaxDescription>
89
90 try
91 % <SyntaxCode>
92 % Call for no sets
93 io(1) = eval([class '.getInfo(''' mthd ''', ''None'')']);
94 % Call for all sets
95 io(2) = eval([class '.getInfo(''' mthd ''')']);
96 % Call for each set
97 for kk=1:numel(io(2).sets)
98 io(kk+2) = eval([class '.getInfo(''' mthd ''', ''' io(2).sets{kk} ''')']);
99 end
100 % </SyntaxCode>
101 stest = true;
102 catch err
103 disp(err.message)
104 stest = false;
105 end
106
107 % <AlgoDescription>
108 %
109 % 1) Check that getInfo call returned an minfo object in all cases.
110 % 2) Check that all plists have the correct parameters.
111 %
112 % </AlgoDescription>
113
114 atest = true;
115 if stest
116 % <AlgoCode>
117 % check we have minfo objects
118 if isa(io, 'minfo')
119 atest = check_axis_sets(io);
120 end
121 % </AlgoCode>
122 else
123 atest = false;
124 end
125
126 % Return a result structure
127 result = utp_prepare_result(atest, stest, dbstack, mfilename);
128 end % END UTP_01
129
130 end