function result = prob_gr_09_test(varargin)
%PROB_GR_09_TEST  One line description goes here.
%
%   More detailed description goes here.
%
%   Syntax:
%   varargout = prob_gr_09_test(varargin)
%
%   Input: For <keyword,value> pairs call prob_gr_09_test() without arguments.
%   varargin  =
%
%   Output:
%   varargout =
%
%   Example
%   prob_gr_09_test
%
%   See also

%% Copyright notice
%   --------------------------------------------------------------------
%   Copyright (C) 2012 Deltares
%       Joost den Bieman
%
%       joost.denbieman@deltares.nl
%
%       P.O. Box 177
%       2600 MH Delft
%       The Netherlands
%
%   This library is free software: you can redistribute it and/or modify
%   it under the terms of the GNU General Public License as published by
%   the Free Software Foundation, either version 3 of the License, or
%   (at your option) any later version.
%
%   This library is distributed in the hope that it will be useful,
%   but WITHOUT ANY WARRANTY; without even the implied warranty of
%   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
%   GNU General Public License for more details.
%
%   You should have received a copy of the GNU General Public License
%   along with this library.  If not, see <http://www.gnu.org/licenses/>.
%   --------------------------------------------------------------------

% This tool is part of <a href="http://www.OpenEarth.eu">OpenEarthTools</a>.
% OpenEarthTools is an online collaboration to share and manage data and
% programming tools in an open source, version controlled environment.
% Sign up to recieve regular updates of this function, and to contribute
% your own tools.

%% Version <http://svnbook.red-bean.com/en/1.5/svn.advanced.props.special.keywords.html>
% Created: 19 Oct 2012
% Created with Matlab version: 7.14.0.739 (R2012a)

% $Id$
% $Date$
% $Author$
% $Revision$
% $HeadURL$
% $Keywords: $

MTestCategory.WorkInProgress;

%% Read Settings

OPT = struct(...
    'plot', true, ...
    'seed', NaN, ...                                                        % seed used in ADIS (default = random)
    'animate', false, ...                                                   % boolean indicating animation of ADIS routine
    'NrSamplesCMC', 1e4);                                                   % number of samples used for crude Monte Carlo

OPT = setproperty(OPT, varargin{:});

%% define stochastic variables
stochast = prob_gr_09_stochast_test();

result = struct('Exact',{struct('Beta', norm_inv(1-2.11e-4, 0, 1),'P_f', 2.11e-4)});

%% run Directional Sampling
result.ADIS = DS(...
    'seed', OPT.seed, ...
    'plot', OPT.plot, ...
    'animate', OPT.animate, ...
    'stochast', stochast,...
    'aggregateFunction', @prob_gr_09_aggregate, ...
    'x2zFunction', {@prob_gr_09_LS1, @prob_gr_09_LS2, @prob_gr_09_LS3, @prob_gr_09_LS4});

%% print result
prob_print_test(result);