Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/select.m @ 45:a59cdb8aaf31 database-connection-manager

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Merge
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Tue, 06 Dec 2011 19:07:22 +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 % SELECT select particular samples from the input AOs and return new AOs with only those samples.
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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: SELECT select particular samples from the input AOs and return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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5 % new AOs with only those samples.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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6 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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7 % CALL: b = select(a, [1 2 3 4]);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 % b = select(a, pl)
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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 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'select')">Parameters Description</a>
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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>
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12 % VERSION: $Id: select.m,v 1.42 2011/10/06 05:21:05 hewitson Exp $
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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 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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15
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Daniele Nicolodi <nicolodi@science.unitn.it>
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16 function varargout = select(varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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22 end
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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 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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25 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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26
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Daniele Nicolodi <nicolodi@science.unitn.it>
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27 % Collect input variable names
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Daniele Nicolodi <nicolodi@science.unitn.it>
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28 in_names = cell(size(varargin));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 % Collect all AOs and plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 [as, ao_invars, rest] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33 [pl, pl_invars, rest] = utils.helper.collect_objects(rest(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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36 bs = copy(as, nargout);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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37
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 % Combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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39 pl = parse(pl, getDefaultPlist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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40
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 % Check for samples in arguments
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 samples_in = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43 for jj = 1:numel(rest)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 if isnumeric(rest{jj})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 samples_in = [samples_in reshape(rest{jj}, 1, [])];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 % Get sample selection from plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 sam = find(pl, 'samples');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 axis = find(pl, 'axis');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 if isnumeric(sam)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 samples = [samples_in reshape(find(pl, 'samples'), 1, [])];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 elseif isa(sam, 'ao')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 if isa(sam.data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 if axis == 'y'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 samples = [samples_in sam.y];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 samples = [samples_in 1:len(sam)];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 elseif isa(sam.data, 'xydata') || isa(sam.data, 'fsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62 if axis == 'y'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 samples = [samples_in reshape(sam.y, 1, [])];
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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 samples = [samples_in reshape(sam.x, 1, [])];
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66 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 samples = sort(samples);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 % Set the samples again to the plist because it is possible that the user
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 % specified the not in the plist but direct as input.
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 if ~isempty(samples_in)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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73 pl.pset('samples', samples);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 % Loop over input AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 for jj = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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78 if isa(bs(jj).data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 bs(jj).data.setY(bs(jj).data.y(samples));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 if numel(bs(jj).data.dy) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 bs(jj).data.setDy(bs(jj).data.dy(samples));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 if isprop(bs(jj).data, 'enbw')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 if numel(bs(jj).data.enbw) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 bs(jj).data.setEnbw(bs(jj).data.enbw(samples));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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86 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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87 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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88 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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89 % Get x
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Daniele Nicolodi <nicolodi@science.unitn.it>
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90 x = bs(jj).data.getX;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 % set new samples
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 bs(jj).data.setXY(x(samples), bs(jj).data.y(samples));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 if numel(bs(jj).data.dx) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94 bs(jj).data.setDx(bs(jj).data.dx(samples));
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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 if numel(bs(jj).data.dy) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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97 bs(jj).data.setDy(bs(jj).data.dy(samples));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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98 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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99 if isprop(bs(jj).data, 'enbw')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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100 if numel(bs(jj).data.enbw) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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101 bs(jj).data.setEnbw(bs(jj).data.enbw(samples));
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Daniele Nicolodi <nicolodi@science.unitn.it>
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102 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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103 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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104 % if this is tsdata, we may need to do some other steps
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Daniele Nicolodi <nicolodi@science.unitn.it>
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105 if isa(bs(jj).data, 'tsdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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106 % recompute nsecs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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107 bs(jj).data.fixNsecs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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108 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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109 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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110 % Set AO name
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Daniele Nicolodi <nicolodi@science.unitn.it>
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111 bs(jj).name = sprintf('select(%s)', ao_invars{jj});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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112 % Add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
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113 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), bs(jj).hist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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114 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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115
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Daniele Nicolodi <nicolodi@science.unitn.it>
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116 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
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117 varargout = utils.helper.setoutputs(nargout, bs);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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118
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
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121 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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122 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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123 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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124 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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125 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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126 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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127 pl = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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128 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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129 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
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130 pl = getDefaultPlist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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131 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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132 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
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133 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: select.m,v 1.42 2011/10/06 05:21:05 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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134 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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135
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Daniele Nicolodi <nicolodi@science.unitn.it>
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136 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 % Get Default Plist
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Daniele Nicolodi <nicolodi@science.unitn.it>
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138 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
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139 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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140 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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141 if ~exist('pl', 'var') || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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142 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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143 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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144 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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145 end
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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 function plo = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
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148 plo = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
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149
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Daniele Nicolodi <nicolodi@science.unitn.it>
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150 p = param({'samples', 'A list of samples to select.'}, paramValue.EMPTY_DOUBLE);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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151 plo.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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152
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Daniele Nicolodi <nicolodi@science.unitn.it>
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153 p = param({'axis', 'If the samples are specified with an AO then it is possible from axis you want to select the samples.'}, {1 {'x', 'y'} paramValue.SINGLE});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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154 plo.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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155
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Daniele Nicolodi <nicolodi@science.unitn.it>
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156 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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157
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Daniele Nicolodi <nicolodi@science.unitn.it>
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158 % END
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Daniele Nicolodi <nicolodi@science.unitn.it>
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159 % PARAMETERS: 'samples' - a list of samples to select
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Daniele Nicolodi <nicolodi@science.unitn.it>
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160 %