annotate m-toolbox/classes/@ao/compute.m @ 34:03d92954b939 database-connection-manager

Improve look of LTPDAPreferences diaolog
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % COMPUTE performs the given operations on the input AOs.
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: COMPUTE performs the given operations on the input AOs.
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % This is a transparent wrapper for the user selected operations and as such
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % doesn't add history.
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 % CALL: b = compute(a)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % b = compute(a, pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % b = compute(a, 'a(1) + a(2)./a(3)')
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12 % b = compute(a, {'a(1) + a(2)./a(3)', 'log10(a(1))'})
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13 %
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14 % PARAMETERS: 'Operations' - a string array describing the operations to
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15 % be performed. The input AOs are collected
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16 % together into a vector called 'a' and as
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 % such should be so represented in your
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % operation description.
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19 %
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20 % If no operation is input, then the output is just a copy of the inputs.
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21 %
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22 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'compute')">Parameters Description</a>
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23 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 % EXAMPLES: 1) Add the two AOs, x and y, together
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 % >> b = compute(x,y, plist('Operations', 'a(1) + a(2)'))
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % or
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27 % >> b = compute(x,y, 'a(1) + a(2)')
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28 %
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29 % 2) Perform two operations such that the output, b, contains two AOs
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30 % >> b = compute([x y], z, plist('Operations', {'2.*a(3)./a(1)', 'a(2)-a(1)'}))
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31 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % VERSION: $Id: compute.m,v 1.21 2011/04/08 08:56:18 hewitson Exp $
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33 %
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34 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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35
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36 function varargout = compute(varargin)
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37
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38 % Check if this is a call for parameters
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39 if utils.helper.isinfocall(varargin{:})
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40 varargout{1} = getInfo(varargin{3});
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41 return
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42 end
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 import utils.const.*
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45 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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46
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47 % Collect input variable names
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48 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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50
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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53 [pl, pl_invars] = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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54
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 if nargout == 0
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56 error('### compute cannot be used as a modifier. Please give an output variable.');
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57 end
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58
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59 % Decide on a deep copy or a modify
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60 a = copy(as, nargout);
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61
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62 % combine plists
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63 pl = parse(pl, getDefaultPlist());
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64
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65 % Look for plist of input char
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 ops = '';
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67 if ischar(varargin{end})
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68 ops = varargin{end};
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69 elseif iscell(varargin{end})
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70 ops = varargin{end};
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71 else
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72 ops = find(pl, 'Operations');
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73 end
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74
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75 % Check we have a cell array
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76 if ischar(ops)
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77 ops = {ops};
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78 end
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79
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80 % Loop over operations
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81 bs(length(ops),1) = ao;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 for jj=1:length(ops)
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83 % evaluate this operation
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84 if ops{jj}(end) ~= ';'
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85 ops{jj}(end+1) = ';';
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86 end
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87 bs(jj) = eval(ops{jj});
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88 end
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89
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 % Set outputs
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91 varargout{1} = bs;
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92 end
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93
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94 %--------------------------------------------------------------------------
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95 % Get Info Object
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96 %--------------------------------------------------------------------------
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97 function ii = getInfo(varargin)
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98 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 sets = {};
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100 pl = [];
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101 else
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102 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 pl = getDefaultPlist;
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104 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 % Build info object
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106 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: compute.m,v 1.21 2011/04/08 08:56:18 hewitson Exp $', sets, pl);
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107 ii.setModifier(false);
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108 end
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109
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110 %--------------------------------------------------------------------------
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111 % Get Default Plist
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112 %--------------------------------------------------------------------------
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113
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 persistent pl;
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116 if exist('pl', 'var')==0 || isempty(pl)
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117 pl = buildplist();
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118 end
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119 plout = pl;
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120 end
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121
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 function pl = buildplist()
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123 pl = plist({'Operations', 'A string describing the operations on the vector ''a'' of AOs'}, {1, {'a'}, paramValue.OPTIONAL});
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124 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 % END
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126
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127