% NORM overloads the norm operator for Analysis Objects.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% DESCRIPTION: NORM overloads the norm operator for Analysis Objects.
%
% CALL:        b = norm (a,pl) % only with data = cdata
%              b = norm (a)
%
% INPUTS:      pl   - a parameter list
%              a    - input analysis object
%
% OUTPUTS:     See MATLAB's norm.
%
% <a href="matlab:utils.helper.displayMethodInfo('ao', 'norm')">Parameters Description</a>
%
% VERSION:     $Id: norm.m,v 1.40 2011/04/19 18:48:11 ingo Exp $
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

function varargout = norm(varargin)
  
  % Check if the method was called by another method
  callerIsMethod = utils.helper.callerIsMethod;
  
  % Settings
  operatorName = 'norm';
  dxFcn = [];
  
  if callerIsMethod
    in_names = {};
  else
    % Collect input variable names
    in_names = cell(size(varargin));
    for ii = 1:nargin,in_names{ii} = inputname(ii);end
    
    % Check if this is a call for the minfo object
    if utils.helper.isinfocall(varargin{:})
      varargout{1} = getInfo(varargin{3});
      return
    end
    
  end
  
  % Here we are forced to collect objects so that we can check that each ao
  % is the correct type and shape for doing det.
  [as, dummy, rest] = utils.helper.collect_objects(varargin, 'ao', in_names);
  
  % Check for the correct data objects: Throw an error for data2D objects.
  as.checkDataType('data2D');
  
  copyObjects = nargout>0;
  
  % Apply method to all AOs
  [out, pl] = ao.applymethod(copyObjects, callerIsMethod, in_names, operatorName, dxFcn, @getInfo, @getDefaultPlist, varargin{:});
  
  % Clear errors
  out.clearErrors(pl);
  
  % set outputs
  varargout = utils.helper.setoutputs(nargout, out);
  
end
%--------------------------------------------------------------------------
% Get Info Object
%--------------------------------------------------------------------------
function ii = getInfo(varargin)
  ii = minfo.getInfoAxis(mfilename, @getDefaultPlist, varargin);
end

%--------------------------------------------------------------------------
% Get Default Plist
%--------------------------------------------------------------------------

function plout = getDefaultPlist(set)
  persistent pl;
  persistent lastset;
  if ~exist('pl', 'var') || isempty(pl) || ~strcmp(lastset, set)
    pl = buildplist(set);
    lastset = set;
  end
  plout = pl;
end

function plout = buildplist(varargin)
  plout = plist.getDefaultAxisPlist(varargin{:});
  
  % Option
  p = param({'option', ['A string or value that can be submited, e.g. ''inf'' for<br>'...
    'the infinity norm of the input ao, the largest row<br>'...
    'sum. Options are the same as for MATLAB''s norm.']}, paramValue.EMPTY_STRING);
  plout.remove('option');
  plout.append(p);
end
