/* -*- mia-c++  -*-
 *
 * This file is part of MIA - a toolbox for medical image analysis 
 * Copyright (c) Leipzig, Madrid 1999-2015 Gert Wollny
 *
 * MIA 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 program 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 MIA; if not, see <http://www.gnu.org/licenses/>.
 *
 */

#define BOOST_TEST_DYN_LINK

#include <mia/internal/autotest.hh>
#include <mia/core/sparse_solver.hh>

/**
   This test only tests the general idea of the unified solver class, and 
   is a blue-print of how such a thing could be implemented 
*/
namespace mia {
using std::vector; 

template <>
struct multiply<vector<double> > {
	static void apply(vector<double>& result, const typename TSparseSolver<vector<double> >::A_mult_x& A, const vector<double>& x)	{
		assert(result.size() == x.size()); 
		const int size = result.size(); 
		const int boundary = A.get_boundary_size(); 
		
		auto ir = result.begin(); 
		auto ix = x.begin(); 

		for (int i = 0; i < size; ++i, ++ix, ++ir) {
			if (i >= boundary && i <  size - boundary) { 
				*ir = A(ix); 
			} else {
				*ir = *ix; 
			}
		}
	}
};
}
/**
   a simple fix-point iterator
*/
NS_MIA_USE; 
using namespace std; 

class CSolverMock: public TSparseSolver<vector<double> > {
public: 
	int solve(const Field& rhs, Field& x, const CSolverMock::A_mult_x& mult) const; 
}; 

class CAMultX : public CSolverMock::A_mult_x {
public: 
	CAMultX(size_t size);
	CSolverMock::value_type operator ()(CSolverMock::const_field_iterator ix) const;
	int get_boundary_size() const; 

}; 

BOOST_AUTO_TEST_CASE( test_fixpoint_sparse_solver ) 
{
	
	
	const vector<double> x = {1,2,3,2,4,3,4,6,4,7,4,3,2,1,5,3,9,1,2}; 
	vector<double> b(x.size()); 
	vector<double> y(x.size()); 

	CAMultX mult(x.size()); 
	const int boundary = mult.get_boundary_size(); 
	
	
	b[0] = x[0]; 
	b[x.size()-1] = x[x.size()-1]; 
	auto ix = x.begin() + boundary; 
	for (auto ib = b.begin() + boundary; 
	     ix != x.end() - boundary; ++ix, ++ib) {
		*ib = mult(ix); 
	}
	cvdebug() << "x = " << x << "\n"; 
	cvdebug() << "b = " << b << "\n"; 

	BOOST_CHECK_EQUAL(CSolverMock().solve(b, y, mult), 0); 
	
	ix = x.begin(); 
	for (auto iy = y.begin(); ix != x.end(); ++ix, ++iy)
		BOOST_CHECK_CLOSE(*iy, *ix, 0.01); 
}



CSolverMock::value_type CAMultX::operator () (CSolverMock::const_field_iterator ix) const
{
	return *ix - 0.2 * (ix[-1] + ix[1]);
}

CAMultX::CAMultX(size_t size):
	CSolverMock::A_mult_x(size)
{
}
	
int CAMultX::get_boundary_size() const
{
	return 1; 
}






int CSolverMock::solve(const Field& b, Field& x, const CSolverMock::A_mult_x& A) const
{
	assert(b.size() == x.size()); 
	
	Field y(x.size()); 
	double res = 0.0; 
	int iter = 0; 
	Field d(x.size()); 
	
	do {
		res = 0.0; 
		
		multiply<vector<double> >::apply(y, A, x); 
		transform(b.begin(), b.end(), y.begin(), d.begin(), 
			  [](double lhs, double rhs) {return lhs - rhs; }); 

		res = inner_product(d.begin(), d.end(), d.begin(), 0.0); 
		
		transform(x.begin(), x.end(), d.begin(), x.begin(), 
			  [](double lhs, double rhs) {return lhs + rhs; }); 

		cvdebug() << "[" << iter << "] res = " << res << ", x = " << x << "\n"; 
		++iter; 
	} while (res > 0.0000001 && iter < 100); 
	
	return iter < 100 ? 0 : 1; 
}




