dSeparationAlgorithm.h

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#ifndef GUM_D_SEPARATION_ALGORITHM_H
#define GUM_D_SEPARATION_ALGORITHM_H
 
 
#include <agrum/agrum.h>
 
#include <agrum/BN/IBayesNet.h>
 
namespace gum {

  class GUM_PUBLIC_BN dSeparationAlgorithm {
    public:
    // ############################################################################
    // ############################################################################

    dSeparationAlgorithm();

    dSeparationAlgorithm(const dSeparationAlgorithm& from);

    dSeparationAlgorithm(dSeparationAlgorithm&& from);

    ~dSeparationAlgorithm();

 
 
    // ############################################################################
    // ############################################################################

    dSeparationAlgorithm& operator=(const dSeparationAlgorithm& from);

    dSeparationAlgorithm& operator=(dSeparationAlgorithm&& from);

 
 
    // ############################################################################
    // ############################################################################

    void requisiteNodes(const DAG&     dag,
                        const NodeSet& query,
                        const NodeSet& hardEvidence,
                        const NodeSet& softEvidence,
                        NodeSet&       requisite) const;

    template < GUM_Numeric GUM_SCALAR, class TABLE >
    void relevantTensors(const IBayesNet< GUM_SCALAR >& bn,
                         const NodeSet&                 query,
                         const NodeSet&                 hardEvidence,
                         const NodeSet&                 softEvidence,
                         Set< const TABLE* >&           tensors);

  };
 
 
} /* namespace gum */
 
 
#ifndef GUM_NO_INLINE
#  include <agrum/BN/algorithms/dSeparationAlgorithm_inl.h>
#endif   // GUM_NO_INLINE
 
#include <agrum/BN/algorithms/dSeparationAlgorithm_tpl.h>
 
 
#endif /* GUM_D_SEPARATION_ALGORITHM_H */