Mercurial > hg > ltpda

annotate m-toolbox/classes/@smodel/assignalias.m @ 44:409a22968d5e default

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Add unit tests
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 18:42:11 +0100
parents f0afece42f48
children
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % ASSIGNALIAS assign values to smodel alias
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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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>
parents:
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4 % DESCRIPTION: ASSIGNALIAS assign numerical values or vectors to smodel
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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5 % aliases. This is a processing method which should be run before using the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 % given smodel inside smodel/fftfilt so to gain evaluation time during the
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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7 % evaluation of the model. Be careful to insert the correct values for the
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % parameters otherwhise smodel/double will throw an error.
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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 % CALL: mdl = assignalias(mdl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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12 % <a href="matlab:utils.helper.displayMethodInfo('smodel', 'assignalias')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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13 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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14 % VERSION: $Id: assignalias.m,v 1.6 2011/05/10 11:07:59 luigi Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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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 function varargout = assignalias(varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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23 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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24 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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25
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Daniele Nicolodi <nicolodi@science.unitn.it>
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26 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 for ii = 1:nargin
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 in_names{ii} = inputname(ii);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 % Collect all smodels and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 [as, smodel_invars, rest] = utils.helper.collect_objects(varargin(:), 'smodel', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 pl = utils.helper.collect_objects(varargin(:), 'plist');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37 % Copy the object(s), so to inherit parameters etc
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 mdls = copy(as, nargout);
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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 % combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 if isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 setvar = 'fftfilt';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 xvals = find(pl, 'xvals');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 if isempty(xvals)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 setvar = 'fftfilt';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 setvar = 'UserDefinedXvals';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 pl = parse(pl, getDefaultPlist(setvar));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 % get parameters values from plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 switch lower(setvar)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 case 'fftfilt'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 nsecs = find(pl, 'nsecs');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 npad = find(pl, 'npad');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 fs = find(pl, 'fs');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 % get fft frequancies
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 nfft = nsecs*fs + npad;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 xvals = utils.math.getfftfreq(nfft,fs,'one');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 xvals = xvals.';
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 case 'userdefinedxvals'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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65 xvals = find(pl, 'xvals');
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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 % run over input objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 for ii=1:numel(mdls)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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70 % Recover the mapping factor from xvals and xvar
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 % get xvar
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 xxvar = mdls(ii).xvar;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 % check dimensions
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 if numel(xxvar)>1
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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75 error('Multiple xvar are not supported!')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 xxvar = xxvar{:};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 trans = mdls(ii).trans;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 if isempty(trans)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 scale = 1.0;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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83 if isnumeric(trans)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 scale = trans;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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85 elseif ischar(trans)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 scale = eval(trans);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 elseif iscell(trans)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88 % check dimension
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89 if numel(trans)>1
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 error('Multiple trans are not supported!')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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91 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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92 switch lower(class(trans{:}))
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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93 case 'double'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 scale = trans{:};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 case 'char'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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96 scale = eval(trans{:});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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98 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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99 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 error('Unknown format for the transformation!');
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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101 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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102 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 % assign values for the x
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104 getSingleVariable(xxvar,scale.*xvals);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105 % assign alias values
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 for jj=1:numel(mdls(ii).aliasNames)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 switch class(mdls(ii).aliasValues{jj})
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 case 'char'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 getSingleVariable('calias',eval(mdls(ii).aliasValues{jj}));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 mdls(ii).aliasValues{jj} = calias;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111 case 'smodel'
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 tmd = mdls(ii).aliasValues{jj};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 tmd.setXvals(xvals);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 getSingleVariable('calias',tmd.double);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 mdls(ii).aliasValues{jj} = calias;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 % do nothing
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 mdls(ii).setXvals(xvals);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 % set output history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122 mdls(ii).addHistory(getInfo('None'), pl, smodel_invars(ii), mdls(ii).hist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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124
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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125 %%% Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 if nargout == numel(mdls)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 % List of outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 for ii = 1:numel(mdls)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 varargout{ii} = mdls(ii);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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131 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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132 % Single output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 varargout{1} = mdls;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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134 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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135
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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138 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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139 % Local Functions %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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141
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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142
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 % FUNCTION: getCellVariables
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 % DESCRIPTION: Assign values to variables
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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149 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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150 function getSingleVariable(nms,val)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 assignin('caller',nms,val);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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156 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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157 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 elseif nargin == 1 && ~isempty(varargin{1}) && ischar(varargin{1})
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162 sets{1} = varargin{1};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163 pl = getDefaultPlist(sets{1});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165 sets = SETS();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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166 % get plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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167 pl(size(sets)) = plist;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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168 for kk = 1:numel(sets)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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169 pl(kk) = getDefaultPlist(sets{kk});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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170 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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171 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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172 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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173 ii = minfo(mfilename, 'smodel', 'ltpda', utils.const.categories.helper, '$Id: assignalias.m,v 1.6 2011/05/10 11:07:59 luigi Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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174 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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175
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Daniele Nicolodi <nicolodi@science.unitn.it>
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176
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Daniele Nicolodi <nicolodi@science.unitn.it>
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177 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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178 % Defintion of Sets
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Daniele Nicolodi <nicolodi@science.unitn.it>
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179 %--------------------------------------------------------------------------
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180
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Daniele Nicolodi <nicolodi@science.unitn.it>
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181 function out = SETS()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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182 out = {...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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183 'fftfilt', ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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184 'UserDefinedXvals' ...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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185 };
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Daniele Nicolodi <nicolodi@science.unitn.it>
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186 end
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187
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Daniele Nicolodi <nicolodi@science.unitn.it>
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188
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Daniele Nicolodi <nicolodi@science.unitn.it>
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189 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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190 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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191 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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192 function plout = getDefaultPlist(set)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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193 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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194 persistent lastset;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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195 if exist('pl', 'var')==0 || isempty(pl) || ~strcmp(lastset, set)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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196 pl = buildplist(set);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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197 lastset = set;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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198 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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199 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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200 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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201
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Daniele Nicolodi <nicolodi@science.unitn.it>
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202 function pl = buildplist(set)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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203 pl = plist.EMPTY_PLIST;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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204
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Daniele Nicolodi <nicolodi@science.unitn.it>
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205 switch lower(set)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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206 case 'fftfilt'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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207 p = param({'nsecs', 'Number of seconds of the time series will be filtered with fftfilt.'}, paramValue.DOUBLE_VALUE(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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208 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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209
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Daniele Nicolodi <nicolodi@science.unitn.it>
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210 p = param({'npad', 'Number of sample pad will will be used in fftfilt.'}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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211 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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212
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Daniele Nicolodi <nicolodi@science.unitn.it>
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213 p = param({'fs', 'Sampling frequency of the time series will be filtered with fftfilt.'}, paramValue.DOUBLE_VALUE(1));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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214 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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215
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Daniele Nicolodi <nicolodi@science.unitn.it>
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216
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Daniele Nicolodi <nicolodi@science.unitn.it>
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217
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Daniele Nicolodi <nicolodi@science.unitn.it>
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218 case 'userdefinedxvals'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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219
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Daniele Nicolodi <nicolodi@science.unitn.it>
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220 p = param({'xvals', 'A vector of values for the X variable.'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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221 'If the smodel implement a transformation for x values then you should'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
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222 'input the value before the transformation. E.g. xvar = s -> trans = 2*pi*i'...
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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223 'you should input f values so you finally get inside the code xvals = 2*pi*i*f'}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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224 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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225
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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226
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Daniele Nicolodi <nicolodi@science.unitn.it>
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227 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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228 end