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// Copyright (C) 2010 by Thomas Moulard, AIST, CNRS, INRIA.
//
// This file is part of the roboptim.
//
// roboptim is free software: you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// roboptim 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 Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with roboptim. If not, see <http://www.gnu.org/licenses/>.
#undef NDEBUG
#include "shared-tests/fixture.hh"
#include <iostream>
#include <roboptim/core/io.hh>
#include <roboptim/core/differentiable-function.hh>
#include <roboptim/core/util.hh>
#include <roboptim/core/filter/split.hh>
using namespace roboptim;
struct F : public DifferentiableFunction
{
F () : DifferentiableFunction (1, 10, "f_n (x) = n * x")
{}
void impl_compute (result_t& res, const argument_t& argument) const throw ()
{
res.setZero ();
for (size_type i = 0; i < outputSize (); ++i)
res[i] = (value_type)i * argument[0];
}
void impl_gradient (gradient_t& grad, const argument_t&,
size_type functionId) const throw ()
{
grad.setZero ();
grad[0] = (value_type)functionId;
}
};
BOOST_FIXTURE_TEST_SUITE (core, TestSuiteConfiguration)
BOOST_AUTO_TEST_CASE (split)
{
boost::shared_ptr<boost::test_tools::output_test_stream>
output = retrievePattern ("split");
boost::shared_ptr<F> f (new F ());
for (DifferentiableFunction::vector_t::Index id = 0; id < 10; ++id)
{
Split<DifferentiableFunction> splitF (f, id);
(*output) << splitF << ":" << std::endl
<< std::endl;
Function::vector_t x (1);
for (double i = 0.; i < 10.; i += 0.5)
{
x[0] = i;
(*output) << splitF (x) << std::endl;
(*output) << splitF (x) << std::endl;
(*output) << splitF.gradient (x) << std::endl;
(*output) << splitF.gradient (x) << std::endl;
}
}
std::cout << output->str () << std::endl;
BOOST_CHECK (output->match_pattern ());
}
BOOST_AUTO_TEST_SUITE_END ()
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