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/********************* */
/*! \file cegis.h
** \verbatim
** Top contributors (to current version):
** Andrew Reynolds
** This file is part of the CVC4 project.
** Copyright (c) 2009-2017 by the authors listed in the file AUTHORS
** in the top-level source directory) and their institutional affiliations.
** All rights reserved. See the file COPYING in the top-level source
** directory for licensing information.\endverbatim
**
** \brief cegis
**/
#include "cvc4_private.h"
#ifndef __CVC4__THEORY__QUANTIFIERS__CEGIS_H
#define __CVC4__THEORY__QUANTIFIERS__CEGIS_H
#include <map>
#include "theory/quantifiers/sygus/sygus_module.h"
#include "theory/quantifiers/sygus_sampler.h"
namespace CVC4 {
namespace theory {
namespace quantifiers {
/** Cegis
*
* The default sygus module for synthesis, counterexample-guided inductive
* synthesis (CEGIS).
*
* It initializes a list of sygus enumerators that are one-to-one with
* candidates, and returns a list of candidates that are the model values
* of these enumerators on calls to constructCandidates.
*
* It implements an optimization (getRefinementEvalLemmas) that evaluates all
* previous refinement lemmas for a term before returning it as a candidate
* in calls to constructCandidates.
*/
class Cegis : public SygusModule
{
public:
Cegis(QuantifiersEngine* qe, CegConjecture* p);
~Cegis() {}
/** initialize */
virtual bool initialize(Node n,
const std::vector<Node>& candidates,
std::vector<Node>& lemmas) override;
/** get term list */
virtual void getTermList(const std::vector<Node>& candidates,
std::vector<Node>& enums) override;
/** construct candidate */
virtual bool constructCandidates(const std::vector<Node>& enums,
const std::vector<Node>& enum_values,
const std::vector<Node>& candidates,
std::vector<Node>& candidate_values,
std::vector<Node>& lems) override;
/** register refinement lemma */
virtual void registerRefinementLemma(Node lem) override;
private:
/** If CegConjecture::d_base_inst is exists y. P( d, y ), then this is y. */
std::vector<Node> d_base_vars;
/**
* If CegConjecture::d_base_inst is exists y. P( d, y ), then this is the
* formula P( CegConjecture::d_candidates, y ).
*/
Node d_base_body;
//-----------------------------------refinement lemmas
/** refinement lemmas */
std::vector<Node> d_refinement_lemmas;
/** get number of refinement lemmas we have added so far */
unsigned getNumRefinementLemmas() { return d_refinement_lemmas.size(); }
/** get refinement lemma
*
* If d_embed_quant is forall d. exists y. P( d, y ), then a refinement
* lemma is one of the form ~P( d_candidates, c ) for some c.
*/
Node getRefinementLemma(unsigned i) { return d_refinement_lemmas[i]; }
/** sample add refinement lemma
*
* This function will check if there is a sample point in d_sampler that
* refutes the candidate solution (d_quant_vars->vals). If so, it adds a
* refinement lemma to the lists d_refinement_lemmas that corresponds to that
* sample point, and adds a lemma to lems if cegisSample mode is not trust.
*/
bool sampleAddRefinementLemma(const std::vector<Node>& candidates,
const std::vector<Node>& vals,
std::vector<Node>& lems);
//-----------------------------------end refinement lemmas
/** Get refinement evaluation lemmas
*
* Given a candidate solution ms for candidates vs, this function adds lemmas
* to lems based on evaluating the conjecture, instantiated for ms, on lemmas
* for previous refinements (d_refinement_lemmas).
*/
void getRefinementEvalLemmas(const std::vector<Node>& vs,
const std::vector<Node>& ms,
std::vector<Node>& lems);
/** sampler object for the option cegisSample()
*
* This samples points of the type of the inner variables of the synthesis
* conjecture (d_base_vars).
*/
SygusSampler d_cegis_sampler;
/** cegis sample refine points
*
* Stores the list of indices of sample points in d_cegis_sampler we have
* added as refinement lemmas.
*/
std::unordered_set<unsigned> d_cegis_sample_refine;
};
} /* CVC4::theory::quantifiers namespace */
} /* CVC4::theory namespace */
} /* CVC4 namespace */
#endif /* __CVC4__THEORY__QUANTIFIERS__CEGIS_H */
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