Mercurial > hg > ltpda
comparison m-toolbox/classes/@ao/find.m @ 0:f0afece42f48
Import.
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Wed, 23 Nov 2011 19:22:13 +0100 |
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-1:000000000000 | 0:f0afece42f48 |
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1 % FIND particular samples that satisfy the input query and return a new AO. | |
2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
3 % | |
4 % DESCRIPTION: FIND particular samples that satisfy the input query and return a new AO. | |
5 % | |
6 % CALL: b = find(a, 'x > 10 & x < 100') | |
7 % b = find(a, plist) | |
8 % | |
9 % PROCINFO: The selected indexes are stored in the procinfo of the | |
10 % output AO. You can get this indexes with: | |
11 % b.procinfo.find('index') | |
12 % | |
13 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'find')">Parameters Description</a> | |
14 % | |
15 % VERSION: $Id: find.m,v 1.47 2011/10/05 12:04:25 ingo Exp $ | |
16 % | |
17 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
18 | |
19 function varargout = find(varargin) | |
20 | |
21 % Check if this is a call for parameters | |
22 if utils.helper.isinfocall(varargin{:}) | |
23 varargout{1} = getInfo(varargin{3}); | |
24 return | |
25 end | |
26 | |
27 import utils.const.* | |
28 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename); | |
29 | |
30 % Collect input variable names | |
31 in_names = cell(size(varargin)); | |
32 for ii = 1:nargin,in_names{ii} = inputname(ii);end | |
33 | |
34 % Collect all AOs and plists | |
35 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names); | |
36 [pl, pl_invars, rest] = utils.helper.collect_objects(varargin(:), 'plist', in_names); | |
37 | |
38 % Decide on a deep copy or a modify | |
39 bs = copy(as, nargout); | |
40 | |
41 % combine plists | |
42 pl = parse(pl, getDefaultPlist()); | |
43 | |
44 % initialise queries | |
45 queries = ''; | |
46 % extract any from inputs | |
47 for j=1:numel(rest) | |
48 if ischar(rest{j}) | |
49 queries = [queries ' & ' rest{j}]; | |
50 end | |
51 end | |
52 | |
53 % Get sample selection from plist | |
54 queries = [queries ' & ' find(pl, 'query')]; | |
55 | |
56 % We may have pre or trailing '&' now | |
57 queries = strtrim(queries); | |
58 if queries(1) == '&' | |
59 queries = queries(2:end); | |
60 end | |
61 if queries(end) == '&' | |
62 queries = queries(1:end-1); | |
63 end | |
64 | |
65 % store for history | |
66 queries = strtrim(queries); | |
67 pl.pset('query', queries); | |
68 | |
69 % Loop over input AOs | |
70 for j=1:numel(bs) | |
71 | |
72 % The user uses the variables x and y so we need | |
73 % to put them in the workspace. | |
74 clear x | |
75 if ~isa(bs(j).data, 'cdata') | |
76 x = bs(j).data.getX; | |
77 end | |
78 y = bs(j).data.getY; | |
79 | |
80 idx = []; | |
81 cmd = sprintf('idx = find(%s);', queries); | |
82 try | |
83 eval(cmd); | |
84 catch ME | |
85 error('%s\n\n### please use x or y for the queries.',ME.message); | |
86 end | |
87 | |
88 % set data | |
89 if ~isa(bs(j).data, 'cdata') | |
90 %%% tsdata, fsdata, xydata | |
91 bs(j).data.setXY(x(idx), y(idx)); | |
92 | |
93 % Set 'dx' and 'dy' and 'enbw' | |
94 if numel(bs(j).data.dx) > 1 | |
95 bs(j).data.setDx(bs(j).data.dx(idx)); | |
96 end | |
97 if numel(bs(j).data.dy) > 1 | |
98 bs(j).data.setDy(bs(j).data.dy(idx)); | |
99 end | |
100 if isprop(bs(j).data, 'enbw') | |
101 if numel(bs(j).data.enbw) > 1 | |
102 bs(j).data.setEnbw(bs(j).data.enbw(idx)); | |
103 end | |
104 end | |
105 | |
106 else | |
107 %%% cdata | |
108 bs(j).data.setY(y(idx)); | |
109 if numel(bs(j).data.dy) > 1 | |
110 bs(j).data.setY(bs(j).data.dy(idx)); | |
111 end | |
112 end | |
113 | |
114 %%% Set special properties for 'tsdata' objects | |
115 if isa(bs(j).data, 'tsdata') | |
116 % Set the toffset to zero because the x-vector includes the toffset | |
117 bs(j).data.setToffset(0); | |
118 | |
119 % Check fs and see if is x evenly sampled | |
120 [fs,t0,fitted] = tsdata.fitfs(x(idx)); | |
121 if fitted | |
122 bs(j).data.setFs(fs); | |
123 bs(j).data.fixNsecs(); | |
124 else | |
125 % drop x | |
126 bs(j).data.collapseX; | |
127 end | |
128 end | |
129 | |
130 % set name | |
131 bs(j).name = sprintf('find(%s)', ao_invars{j}); | |
132 % add history | |
133 bs(j).addHistory(getInfo('None'), pl, ao_invars(j), bs(j).hist); | |
134 bs(j).procinfo = plist('index', idx); | |
135 end | |
136 | |
137 % Set output | |
138 if nargout == numel(bs) | |
139 % List of outputs | |
140 for ii = 1:numel(bs) | |
141 varargout{ii} = bs(ii); | |
142 end | |
143 else | |
144 % Single output | |
145 varargout{1} = bs; | |
146 end | |
147 end | |
148 | |
149 %-------------------------------------------------------------------------- | |
150 % Get Info Object | |
151 %-------------------------------------------------------------------------- | |
152 function ii = getInfo(varargin) | |
153 if nargin == 1 && strcmpi(varargin{1}, 'None') | |
154 sets = {}; | |
155 pls = []; | |
156 else | |
157 sets = {'Default'}; | |
158 pls = getDefaultPlist; | |
159 end | |
160 % Build info object | |
161 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.helper, '$Id: find.m,v 1.47 2011/10/05 12:04:25 ingo Exp $', sets, pls); | |
162 end | |
163 | |
164 %-------------------------------------------------------------------------- | |
165 % Get Default Plist | |
166 %-------------------------------------------------------------------------- | |
167 function plout = getDefaultPlist() | |
168 persistent pl; | |
169 if exist('pl', 'var')==0 || isempty(pl) | |
170 pl = buildplist(); | |
171 end | |
172 plout = pl; | |
173 end | |
174 | |
175 function pl = buildplist() | |
176 pl = plist({'query', 'A search string specifying a query on ''x'' or ''y'' (or ''vals'' for cdata). <br>For example, <tt>''x>3 & x<5''</tt>'}, paramValue.EMPTY_STRING); | |
177 end | |
178 | |
179 |