// Usage in linux:
// $ mkfifo fifo
// a.out > fifo &
// gnuplot fifo

/*
  [auto_generated]
  libs/numeric/odeint/examples/molecular_dynamics.cpp

  [begin_description]
  Molecular dynamics example.
  [end_description]

  Copyright 2009-2012 Karsten Ahnert
  Copyright 2009-2012 Mario Mulansky

  Distributed under the Boost Software License, Version 1.0.
  (See accompanying file LICENSE_1_0.txt or
  copy at http://www.boost.org/LICENSE_1_0.txt)
*/

#include <boost/numeric/odeint.hpp>

#include <vector>
#include <iostream>
#include <random>

using namespace boost::numeric::odeint;

const size_t n1 = 16;
const size_t n2 = 16;

struct md_system
{
  static const size_t n = n1 * n2;
  typedef std::vector< double > vector_type;

  md_system( double a = 0.0 ,            // strength of harmonic oscillator
	     double gamma = 0.0   ,       // friction
	     double eps = 0.1 ,          // interaction strenght
	     double sigma = 1.0 ,            // interaction radius
	     double xmax = 150.0 , double ymax = 150.0 )
    : m_a( a ) , m_gamma( gamma ) 
    , m_eps( eps ) , m_sigma( sigma ) 
    , m_xmax( xmax ) , m_ymax( ymax )
  { }
    
  static void init_vector_type( vector_type &x ) { x.resize( 2 * n ); }
    
  void operator()( vector_type const& x , vector_type const& v , vector_type &a , double t ) const
  {
    for( size_t i=0 ; i<n ; ++i )
      {
	double diffx = x[i] - 0.5 * m_xmax , diffy = x[i+n] - 0.5 * m_ymax;
	double r2 = diffx * diffx + diffy * diffy ;
	double r = std::sqrt( r2 );
	a[     i ] = - m_a * r * diffx - m_gamma * v[     i ] ;
	a[ n + i ] = - m_a * r * diffy - m_gamma * v[ n + i ] ;
      }
        
    for( size_t i=0 ; i<n ; ++i )
      {
	double xi = x[i] , yi = x[n+i];
	xi = periodic_bc( xi , m_xmax );
	yi = periodic_bc( yi , m_ymax );
	for( size_t j=0 ; j<i ; ++j )
	  {
	    double xj = x[j] , yj = x[n+j];
	    xj = periodic_bc( xj , m_xmax );
	    yj = periodic_bc( yj , m_ymax );
                
	    double diffx = ( xj - xi ) , diffy = ( yj - yi );
	    double r = sqrt( diffx * diffx + diffy * diffy );
	    double f = lennard_jones( r );
	    a[     i ] += diffx / r * f;
	    a[ n + i ] += diffy / r * f;
	    a[     j ] -= diffx / r * f;
	    a[ n + j ] -= diffy / r * f;
	  }
      }
  }
    
  void bc( vector_type &x )
  {
    for( size_t i=0 ; i<n ; ++i )
      {
	x[ i     ] = periodic_bc( x[ i     ] , m_xmax );
	x[ i + n ] = periodic_bc( x[ i + n ] , m_ymax );
      }
  }
    
  inline double lennard_jones( double r ) const
  {
    double c = m_sigma / r;
    double c3 = c * c * c;
    double c6 = c3 * c3;
    return 4.0 * m_eps * ( -12.0 * c6 * c6 / r + 6.0 * c6 / r );
  }
    
  static inline double periodic_bc( double x , double xmax )
  {
    return ( x < 0.0 ) ? x + xmax : ( x > xmax ) ? x - xmax : x ;
  }
    
  double m_a;
  double m_gamma;
  double m_eps ;
  double m_sigma ;
  double m_xmax , m_ymax;
};





int main( int argc , char *argv[] )
{
  const size_t n = md_system::n;
  typedef md_system::vector_type vector_type;
    
    
  std::mt19937 rng;
  std::normal_distribution<> dist( 0.0 , 1.0 );
    
  vector_type x , v;
  md_system::init_vector_type( x );
  md_system::init_vector_type( v );
    
  for( size_t i=0 ; i<n1 ; ++i )
    {
      for( size_t j=0 ; j<n2 ; ++j )
        {
	  x[i*n2+j  ] = 5.0 + i * 4.0 ;
	  x[i*n2+j+n] = 5.0 + j * 4.0 ;
	  v[i]   = dist( rng ) ;
	  v[i+n] = dist( rng ) ;
        }
    }
    
  velocity_verlet< vector_type > stepper;
  const double dt = 0.025;
  double t = 0.0;
  md_system sys;
  for( size_t oi=0 ; oi<100000 ; ++oi )
    {
      for( size_t ii=0 ; ii<100 ; ++ii,t+=dt )
	stepper.do_step( sys , std::make_pair( std::ref( x ) , std::ref( v ) ) , t , dt );
      sys.bc( x );
        
      std::cout << "set size square" << "\n";
      std::cout << "unset key" << "\n";
      std::cout << "p [0:" << sys.m_xmax << "][0:" << sys.m_ymax << "] '-' w p pt 7 ps 0.5" << "\n";
      for( size_t i=0 ; i<n ; ++i )
	std::cout << x[i] << " " << x[i+n] << " " << v[i] << " " << v[i+n] << "\n";
      std::cout << "e" << std::endl;
    }
}