SVED.h

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#ifndef GUM_SVED_H
#define GUM_SVED_H

#include <vector>

#include <agrum/core/set.h>

#include <agrum/graphs/algorithms/triangulations/defaultTriangulation.h>
#include <agrum/graphs/algorithms/triangulations/partialOrderedTriangulation.h>

#include <agrum/BN/inference/variableElimination.h>

#include <agrum/multidim/implementations/multiDimArray.h>
#include <agrum/multidim/implementations/multiDimBucket.h>
#include <agrum/multidim/potential.h>

#include <agrum/PRM/inference/PRMInference.h>
#include <agrum/PRM/inference/structuredBayesBall.h>

#include <agrum/PRM/classBayesNet.h>
#include <agrum/PRM/classDependencyGraph.h>
#include <agrum/PRM/instanceBayesNet.h>
namespace gum {
  namespace prm {

    template < typename GUM_SCALAR >
    class SVED : public PRMInference< GUM_SCALAR > {
      public:
      // ========================================================================
      // ========================================================================

      SVED(const PRM< GUM_SCALAR >& prm, const PRMSystem< GUM_SCALAR >& model);

      ~SVED();

      // ========================================================================
      // ========================================================================

      virtual std::string name() const;

      protected:
      // ========================================================================
      // ========================================================================

      typedef typename PRMInference< GUM_SCALAR >::Chain Chain;

      virtual void _evidenceAdded(const Chain& chain);

      virtual void _evidenceRemoved(const Chain& chain);

      virtual void _marginal(const Chain& chain, Potential< GUM_SCALAR >& m);

      virtual void _joint(const std::vector< Chain >& queries,
                          Potential< GUM_SCALAR >&    j);

      private:
      typedef Set< Potential< GUM_SCALAR >* > BucketSet;
      typedef
         typename Set< Potential< GUM_SCALAR >* >::iterator_safe BucketSetIterator;

      typedef typename Set< MultiDimArray< GUM_SCALAR >* >::iterator_safe
         ArraySetIterator;

      HashTable< const PRMClass< GUM_SCALAR >*, std::vector< NodeId >* >
         __elim_orders;

      HashTable< const Set< NodeId >*, BucketSet* > __lifted_pools;

      Sequence< std::string >* __class_elim_order;

      StructuredBayesBall< GUM_SCALAR > __bb;

      HashTable< const Set< NodeId >*,
                 std::pair< Set< NodeId >*, Set< NodeId >* > >
         __req_set;



      void __eliminateNodes(const PRMInstance< GUM_SCALAR >* query,
                            NodeId                           id,
                            BucketSet&                       pool,
                            BucketSet&                       trash);

      void __eliminateNodesDownward(
         const PRMInstance< GUM_SCALAR >*          from,
         const PRMInstance< GUM_SCALAR >*          i,
         BucketSet&                                pool,
         BucketSet&                                trash,
         List< const PRMInstance< GUM_SCALAR >* >& elim_list,
         Set< const PRMInstance< GUM_SCALAR >* >&  ignore);

      void __eliminateNodesUpward(
         const PRMInstance< GUM_SCALAR >*          i,
         BucketSet&                                pool,
         BucketSet&                                trash,
         List< const PRMInstance< GUM_SCALAR >* >& elim_list,
         Set< const PRMInstance< GUM_SCALAR >* >&  ignore);

      void __eliminateNodesWithEvidence(const PRMInstance< GUM_SCALAR >* i,
                                        BucketSet&                       pool,
                                        BucketSet&                       trash);

      void __insertLiftedNodes(const PRMInstance< GUM_SCALAR >* i,
                               BucketSet&                       pool,
                               BucketSet&                       trash);

      bool __checkElimOrder(const PRMInstance< GUM_SCALAR >* first,
                            const PRMInstance< GUM_SCALAR >* second);

      void __initElimOrder();

      void __insertEvidence(const PRMInstance< GUM_SCALAR >* i, BucketSet& pool);

      std::vector< NodeId >& __getElimOrder(const PRMClass< GUM_SCALAR >& c);

      Potential< GUM_SCALAR >*
         __getAggPotential(const PRMInstance< GUM_SCALAR >*  i,
                           const PRMAggregate< GUM_SCALAR >* agg);

      void __initLiftedNodes(const PRMInstance< GUM_SCALAR >* i, BucketSet& trash);

      void __initReqSets(const PRMInstance< GUM_SCALAR >* i);

      Set< NodeId >& __getAttrSet(const PRMInstance< GUM_SCALAR >* i);

      Set< NodeId >& __getSCSet(const PRMInstance< GUM_SCALAR >* i);

      void __reduceElimList(const PRMInstance< GUM_SCALAR >*          i,
                            List< const PRMInstance< GUM_SCALAR >* >& elim_list,
                            List< const PRMInstance< GUM_SCALAR >* >& reduced_list,
                            Set< const PRMInstance< GUM_SCALAR >* >&  ignore,
                            BucketSet&                                pool,
                            BucketSet&                                trash);

      std::string __trim(const std::string& s);
    };


#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
    extern template class SVED< double >;
#endif


  } /* namespace prm */
} /* namespace gum */

#include <agrum/PRM/inference/SVED_tpl.h>

#endif /* GUM_SVED_H */