Mercurial > hg > ltpda

annotate m-toolbox/classes/@ao/sort.m @ 38:3aef676a1b20 database-connection-manager

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Keep backtrace on error
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Mon, 05 Dec 2011 16:20:06 +0100
parents f0afece42f48
children
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
0
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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1 % SORT the values in the AO.
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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>
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4 % DESCRIPTION: SORT sorts the values in the input data.
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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: ao_out = sort(ao_in);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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7 % ao_out = sort(ao1, pl1, ao_vector, ao_matrix, pl2);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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8 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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9 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'sort')">Parameters Description</a>
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Daniele Nicolodi <nicolodi@science.unitn.it>
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10 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
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11 % VERSION: $Id: sort.m,v 1.24 2011/04/08 08:56:13 hewitson Exp $
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Daniele Nicolodi <nicolodi@science.unitn.it>
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12 %
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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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Daniele Nicolodi <nicolodi@science.unitn.it>
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15 function varargout = sort (varargin)
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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 % Check if this is a call for parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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18 if utils.helper.isinfocall(varargin{:})
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Daniele Nicolodi <nicolodi@science.unitn.it>
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19 varargout{1} = getInfo(varargin{3});
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Daniele Nicolodi <nicolodi@science.unitn.it>
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20 return
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Daniele Nicolodi <nicolodi@science.unitn.it>
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21 end
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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 import utils.const.*
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Daniele Nicolodi <nicolodi@science.unitn.it>
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24 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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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,in_names{ii} = inputname(ii);end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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29
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Daniele Nicolodi <nicolodi@science.unitn.it>
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30 % Collect all AOs
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Daniele Nicolodi <nicolodi@science.unitn.it>
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31 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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32 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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33
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Daniele Nicolodi <nicolodi@science.unitn.it>
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34 % Decide on a deep copy or a modify
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Daniele Nicolodi <nicolodi@science.unitn.it>
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35 bs = copy(as, nargout);
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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 % Combine plists
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Daniele Nicolodi <nicolodi@science.unitn.it>
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38 pl = parse(pl, getDefaultPlist);
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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 % Get parameters
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Daniele Nicolodi <nicolodi@science.unitn.it>
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41 sdir = find(pl, 'dir');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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42 dim = find(pl, 'dim');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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43
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Daniele Nicolodi <nicolodi@science.unitn.it>
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44 %% go through analysis objects
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Daniele Nicolodi <nicolodi@science.unitn.it>
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45 for j=1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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46 % Sort values
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Daniele Nicolodi <nicolodi@science.unitn.it>
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47 switch lower(dim)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 case 'x'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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49 if isa(bs(j).data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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50 error('### Sort to the x-axis of an AO with cdata is not possible');
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Daniele Nicolodi <nicolodi@science.unitn.it>
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51 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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52 [mx, idx] = sort(bs(j).data.getX, 1, sdir);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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53 my = bs(j).data.y(idx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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54 case 'y'
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Daniele Nicolodi <nicolodi@science.unitn.it>
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55 [my, idx] = sort(bs(j).y, 1, sdir);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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56 if ~isa(bs(j).data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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57 mx = bs(j).data.getX(idx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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58 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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59 otherwise
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Daniele Nicolodi <nicolodi@science.unitn.it>
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60 error('### can''t sort along dimension ''%s''.', dim);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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61 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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62
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Daniele Nicolodi <nicolodi@science.unitn.it>
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63 % Sort the error dx and dy and enbw
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Daniele Nicolodi <nicolodi@science.unitn.it>
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64 if isprop(bs(j).data, 'dx')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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65 if numel(bs(j).data.dx) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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66 mdx = bs(j).data.dx(idx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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67 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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68 mdx = bs(j).data.dx;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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69 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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70 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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71 mdx = [];
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Daniele Nicolodi <nicolodi@science.unitn.it>
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72 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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73 if numel(bs(j).data.dy) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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74 mdy = bs(j).data.dy(idx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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75 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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76 mdy = bs(j).data.dy;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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77 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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78 if isprop(bs(j).data, 'enbw')
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Daniele Nicolodi <nicolodi@science.unitn.it>
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79 if numel(bs(j).data.enbw) > 1
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Daniele Nicolodi <nicolodi@science.unitn.it>
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80 menbw = bs(j).data.enbw(idx);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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81 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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82 menbw = bs(j).data.enbw;
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Daniele Nicolodi <nicolodi@science.unitn.it>
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83 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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84 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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85 menbw = [];
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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
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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88 % set new data
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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89 if ~isa(bs(j).data, 'cdata')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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90 bs(j).data.setXY(mx,my);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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91 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
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92 bs(j).data.setY(my);
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Daniele Nicolodi <nicolodi@science.unitn.it>
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93 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
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94
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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95 % set new error
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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96 if ~isempty(mdx)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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97 bs(j).data.setDx(mdx);
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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>
parents:
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99 if ~isempty(mdy)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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100 bs(j).data.setDy(mdy);
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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 if ~isempty(menbw)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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103 bs(j).data.setEnbw(menbw);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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104 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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105
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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106 % set data name
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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107 bs(j).name = sprintf('sort(%s)', ao_invars{j});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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108 % Add history
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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109 bs(j).addHistory(getInfo('None'), pl, ao_invars(j), bs(j).hist);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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110 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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111
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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112 % Set output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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113 if nargout == numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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114 % List of outputs
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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115 for ii = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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116 varargout{ii} = bs(ii);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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117 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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118 else
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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119 % Single output
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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120 varargout{1} = bs;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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121 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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122 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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123
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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 % Get Info Object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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126 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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127 function ii = getInfo(varargin)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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128 if nargin == 1 && strcmpi(varargin{1}, 'None')
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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129 sets = {};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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130 pl = [];
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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 sets = {'Default'};
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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133 pl = getDefaultPlist;
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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 % Build info object
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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136 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.op, '$Id: sort.m,v 1.24 2011/04/08 08:56:13 hewitson Exp $', sets, pl);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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137 end
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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 %--------------------------------------------------------------------------
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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140 % Get Default Plist
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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 function plout = getDefaultPlist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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143 persistent pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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144 if exist('pl', 'var')==0 || isempty(pl)
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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145 pl = buildplist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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146 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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147 plout = pl;
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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148 end
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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 pl = buildplist()
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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151 pl = plist();
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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152
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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153 % Dim
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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154 p = param({'dim', 'Sort on the specified axis.'}, {2, {'x', 'y'}, paramValue.SINGLE});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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155 pl.append(p);
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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 % Dir
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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158 p = param({'dir', 'Direction of sort.'}, {1, {'ascend', 'descend'}, paramValue.SINGLE});
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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159 pl.append(p);
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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160 end
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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161 % END
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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162
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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163
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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164 % PARAMETERS:
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
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165 %
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Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
166 % 'dim' - sort along the specified dimension: 'x' or 'y'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
167 % [default: 'y']
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
168 % 'dir' - select direction of sort: 'ascend' or 'descend'
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
169 % [default: 'ascend']
f0afece42f48 Import.
Daniele Nicolodi <nicolodi@science.unitn.it>
parents:
diff changeset
170 %