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view m-toolbox/classes/@ao/compute.m @ 17:7afc99ec5f04 database-connection-manager
Update ao_model_retrieve_in_timespan
author | Daniele Nicolodi <nicolodi@science.unitn.it> |
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date | Mon, 05 Dec 2011 16:20:06 +0100 |
parents | f0afece42f48 |
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% COMPUTE performs the given operations on the input AOs. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % DESCRIPTION: COMPUTE performs the given operations on the input AOs. % % This is a transparent wrapper for the user selected operations and as such % doesn't add history. % % CALL: b = compute(a) % b = compute(a, pl) % b = compute(a, 'a(1) + a(2)./a(3)') % b = compute(a, {'a(1) + a(2)./a(3)', 'log10(a(1))'}) % % PARAMETERS: 'Operations' - a string array describing the operations to % be performed. The input AOs are collected % together into a vector called 'a' and as % such should be so represented in your % operation description. % % If no operation is input, then the output is just a copy of the inputs. % % <a href="matlab:utils.helper.displayMethodInfo('ao', 'compute')">Parameters Description</a> % % EXAMPLES: 1) Add the two AOs, x and y, together % >> b = compute(x,y, plist('Operations', 'a(1) + a(2)')) % or % >> b = compute(x,y, 'a(1) + a(2)') % % 2) Perform two operations such that the output, b, contains two AOs % >> b = compute([x y], z, plist('Operations', {'2.*a(3)./a(1)', 'a(2)-a(1)'})) % % VERSION: $Id: compute.m,v 1.21 2011/04/08 08:56:18 hewitson Exp $ % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function varargout = compute(varargin) % Check if this is a call for parameters if utils.helper.isinfocall(varargin{:}) varargout{1} = getInfo(varargin{3}); return end import utils.const.* utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename); % Collect input variable names in_names = cell(size(varargin)); for ii = 1:nargin,in_names{ii} = inputname(ii);end % Collect all AOs and plists [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names); [pl, pl_invars] = utils.helper.collect_objects(varargin(:), 'plist', in_names); if nargout == 0 error('### compute cannot be used as a modifier. Please give an output variable.'); end % Decide on a deep copy or a modify a = copy(as, nargout); % combine plists pl = parse(pl, getDefaultPlist()); % Look for plist of input char ops = ''; if ischar(varargin{end}) ops = varargin{end}; elseif iscell(varargin{end}) ops = varargin{end}; else ops = find(pl, 'Operations'); end % Check we have a cell array if ischar(ops) ops = {ops}; end % Loop over operations bs(length(ops),1) = ao; for jj=1:length(ops) % evaluate this operation if ops{jj}(end) ~= ';' ops{jj}(end+1) = ';'; end bs(jj) = eval(ops{jj}); end % Set outputs varargout{1} = bs; end %-------------------------------------------------------------------------- % Get Info Object %-------------------------------------------------------------------------- function ii = getInfo(varargin) if nargin == 1 && strcmpi(varargin{1}, 'None') sets = {}; pl = []; else sets = {'Default'}; pl = getDefaultPlist; end % Build info object ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: compute.m,v 1.21 2011/04/08 08:56:18 hewitson Exp $', sets, pl); ii.setModifier(false); end %-------------------------------------------------------------------------- % Get Default Plist %-------------------------------------------------------------------------- function plout = getDefaultPlist() persistent pl; if exist('pl', 'var')==0 || isempty(pl) pl = buildplist(); end plout = pl; end function pl = buildplist() pl = plist({'Operations', 'A string describing the operations on the vector ''a'' of AOs'}, {1, {'a'}, paramValue.OPTIONAL}); end % END