Mercurial > hg > ltpda

annotate m-toolbox/classes/@smodel/setXvals.m @ 46:ca0b8d4dcdb6 database-connection-manager

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Fix
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:27 +0100
parents f0afece42f48
children
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0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % SETXVALS sets the 'xvals' property of the smodel object.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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3 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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4 % DESCRIPTION: SETXVALS sets the 'xvals' property of the smodel object.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % CALL: objs.setXvals(val);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % objs.setXvals(plist('xvals', val));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % objs = objs.setXvals(val);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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9 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 % INPUTS: objs: Can be a vector, matrix, list, or a mix of them.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % val: Val can be any of the following types:
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 % - double-vector
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 % - analysis object(s)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % - plist with the key 'xvals'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 % - cell array with the value above
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 % All objects in 'objs' get 'val' as the 'xvals'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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17 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 % <a href="matlab:utils.helper.displayMethodInfo('smodel', 'setXvals')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 % VERSION: $Id: setXvals.m,v 1.12 2011/04/28 19:50:57 mauro Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 function varargout = setXvals(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % Check if this is a call from a class method
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 callerIsMethod = utils.helper.callerIsMethod;
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28
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29 if callerIsMethod
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 sm = varargin{1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 values = varargin{2};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 % Collect all smodel objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 [sm, sm_invars, rest] = utils.helper.collect_objects(varargin(:), 'smodel', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 [pls, dummy, onlyAoRest] = utils.helper.collect_objects(rest(:), 'plist');
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50 [aos, dummy, onlyAoRest] = utils.helper.collect_objects(onlyAoRest(:), 'ao');
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51
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52 values = {};
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53 inhists = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 % If pls contains only one plist with the single key of the property name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 % then set the property with a plist.
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56
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 % Combine input plists and default PLIST
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 pls = combine(pls, getDefaultPlist());
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59
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 % Special behaviour for the history if the user uses only AOs for the xvals
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 if ~isempty(aos) && isempty(onlyAoRest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 inhists = [aos(:).hist];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 values = processValues(values, pls, aos);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 values = processValues(values, pls, rest);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 % Check if the x-values are empty
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 if isempty(values)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 error('### Please specify at least one input for ''xvals''');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 % Make sure that all x-values have the same length
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 if any(diff(cellfun(@length, values)) ~= 0)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 error('### The xvals must have the same length. But they have the length %s', mat2str(cellfun(@length, values)));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76
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77 end % callerIsMethod
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78
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 sm = copy(sm, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 % Loop over smodel objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 for jj = 1:numel(sm)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 sm(jj).xvals = values;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 if ~callerIsMethod
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 if isempty(inhists)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 % Add the values only to the history-plist if the user doesn't use
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 % AOs for the xvals.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 plh = pls.pset('xvals', values);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 plh = pls;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 sm(jj).addHistory(getInfo('None'), plh, sm_invars(jj), [sm(jj).hist, inhists]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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95 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 varargout = utils.helper.setoutputs(nargout, sm);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 % Local Functions %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 function values = processValues(values, dpl, rest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 if ~isempty(rest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 switch class(rest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 case 'cell'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 for ii = 1:numel(rest);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 values = processValues(values, dpl, rest{ii});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 case 'double'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 values = [values {rest}];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115 case 'ao'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 ax = dpl.find('axis');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 for ii = 1:numel(rest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118 values = [values {rest(ii).(ax)}];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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119 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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120 case 'plist'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 if length(rest) == 1 && isa(rest, 'plist') && isparam(rest, 'xvals')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 vals = find(rest, 'xvals');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 values = processValues(values, dpl, vals);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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137 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 pl = getDefaultPlist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 ii = minfo(mfilename, mfilename('class'), 'ltpda', utils.const.categories.helper, '$Id: setXvals.m,v 1.12 2011/04/28 19:50:57 mauro Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145
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Daniele Nicolodi <nicolodi@science.unitn.it>
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146 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 if ~exist('pl', 'var') || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157 function pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 % xvals
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 p = param({'xvals', 'A vector of values for the X variables.'}, paramValue.EMPTY_CELL);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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162 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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163
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 % axis
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165 p = param({'axis', 'Chose the axis where to take the data from the ao.'}, {1, {'y', 'x', 'z'}, paramValue.OPTIONAL});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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166 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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167
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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168 end