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Show backtrace on unit test errors
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % test for matrix/linearize
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2 %
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3 % 15-01-2010 L Ferraioli
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4 % CREATION
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5 %
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6 %
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7 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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8 % $Id: mdc3_exp3_loop_v3.m,v 1.2 2009/09/24 09:48:12 luigi Exp $
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9 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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10
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11
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 %% Loading data
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13
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14 fprintf('===== loading data... =====\n')
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15
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16 % laod parnames and values
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17 load C:\Users\Luigi\ltp_data_analysis\MDCs\MDC3\lf_analysis\Models\parnames_10perc.mat
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18 load C:\Users\Luigi\ltp_data_analysis\MDCs\MDC3\lf_analysis\Models\exp3_2_10perc_nomvalues.mat
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19 load C:\Users\Luigi\ltp_data_analysis\MDCs\MDC3\lf_analysis\Models\exp3_2_10perc_truevalues.mat
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20 % load C:\Users\Luigi\ltp_data_analysis\MDCs\MDC3\lf_analysis\Models\usedparams_10perc.mat
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21
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22
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23 % set ordered used parameters
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24 usedparams = {'dH','dsH','dS11','dS1D','dSD1','dSDD',...
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25 'dh2','dsh2','dx1','dx2'};
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26
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27 [nonfitparnms,ia,ib] = setxor(parnames,usedparams);
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28 nonfitnomvals = exp3_nomvalues(ia);
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29 nonfittruevals = exp3_truevalues(ia);
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30
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31 [fitparnms,ia,ib] = setxor(parnames,nonfitparnms);
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32 fitnomvals = exp3_nomvalues(ia);
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33 fittruevals = exp3_truevalues(ia);
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34
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 %% get non-linear response model
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 % the model is non-linear in the parameter dependence
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37 fprintf('===== Get TF Model... =====\n')
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38
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39 H = matrix(plist('built-in','mdc3_ifo2ifo_v2'));
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40
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 % substitute for non fit parameters
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42 % subs for non fit parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 for ii = 1:numel(H.objs)
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44 H.objs(ii).subs(plist('Params', nonfitparnms, 'Values',nonfittruevals));
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45 end
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46
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47
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 %% Linearize model
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49
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50 Hl = linearize(H);
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51
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52 %% Random test
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53
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54 % get random index
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55 i1 = round(numel(Hl.objs)*rand(1)); % choose the parameter
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56 i2 = round(numel(H.objs)*rand(1)); % choose the transfer function
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57
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58 % extract element to be tested
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59 dH = Hl.objs{i1}.objs(i2);
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60
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61 % get the parameter name
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62 pars = sort(usedparams);
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63 prm = pars{i1};
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64
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65 % differentiate
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66 tdH = diff(H.objs(i2),prm);
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67
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68 % evaluate response
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69 dHr = eval(dH);
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70 tdHr = eval(tdH);
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71
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72 % plot
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73 iplot(dHr./tdHr)
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74
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