BayesNet-inst.h

/* ----------------------------------------------------------------------------

* GTSAM Copyright 2010, Georgia Tech Research Corporation,
* Atlanta, Georgia 30332-0415
* All Rights Reserved
* Authors: Frank Dellaert, et al. (see THANKS for the full author list)

* See LICENSE for the license information

* -------------------------------------------------------------------------- */

#pragma once

#include <gtsam/inference/FactorGraph-inst.h>
#include <gtsam/inference/BayesNet.h>

#include <boost/range/adaptor/reversed.hpp>
#include <fstream>

namespace gtsam {

  /* ************************************************************************* */
  template<class CONDITIONAL>
  void BayesNet<CONDITIONAL>::print(const std::string& s, const KeyFormatter& formatter) const
  {
    Base::print(s, formatter);
  }

  /* ************************************************************************* */
  template<class CONDITIONAL>
  void BayesNet<CONDITIONAL>::saveGraph(const std::string &s, const KeyFormatter& keyFormatter) const
  {
    std::ofstream of(s.c_str());
    of << "digraph G{\n";

    for (auto conditional: boost::adaptors::reverse(*this)) {
      typename CONDITIONAL::Frontals frontals = conditional->frontals();
      Key me = frontals.front();
      typename CONDITIONAL::Parents parents = conditional->parents();
      for(Key p: parents)
        of << keyFormatter(p) << "->" << keyFormatter(me) << std::endl;
    }

    of << "}";
    of.close();
  }

}