GCC Code Coverage Report
Directory: . Exec Total Coverage
File: src/theory/quantifiers/sygus/cegis.h Lines: 1 1 100.0 %
Date: 2021-08-01 Branches: 0 0 0.0 %

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/******************************************************************************
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 * Top contributors (to current version):
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 *   Andrew Reynolds, Haniel Barbosa, Mathias Preiner
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 *
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 * This file is part of the cvc5 project.
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 *
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 * Copyright (c) 2009-2021 by the authors listed in the file AUTHORS
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 * in the top-level source directory and their institutional affiliations.
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 * All rights reserved.  See the file COPYING in the top-level source
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 * directory for licensing information.
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 * ****************************************************************************
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 *
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 * cegis
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 */
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#include "cvc5_private.h"
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#ifndef CVC5__THEORY__QUANTIFIERS__CEGIS_H
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#define CVC5__THEORY__QUANTIFIERS__CEGIS_H
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#include <map>
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#include "theory/quantifiers/sygus/sygus_module.h"
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#include "theory/quantifiers/sygus_sampler.h"
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namespace cvc5 {
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namespace theory {
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namespace quantifiers {
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/** Cegis
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 *
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 * The default sygus module for synthesis, counterexample-guided inductive
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 * synthesis (CEGIS).
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 *
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 * It initializes a list of sygus enumerators that are one-to-one with
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 * candidates, and returns a list of candidates that are the model values
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 * of these enumerators on calls to constructCandidates.
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 *
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 * It implements an optimization (getRefinementEvalLemmas) that evaluates all
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 * previous refinement lemmas for a term before returning it as a candidate
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 * in calls to constructCandidates.
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 */
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class Cegis : public SygusModule
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{
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 public:
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  Cegis(QuantifiersInferenceManager& qim, TermDbSygus* tds, SynthConjecture* p);
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  ~Cegis() override {}
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  /** initialize */
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  virtual bool initialize(Node conj,
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                          Node n,
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                          const std::vector<Node>& candidates,
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                          std::vector<Node>& lemmas) override;
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  /** get term list */
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  virtual void getTermList(const std::vector<Node>& candidates,
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                           std::vector<Node>& enums) override;
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  /** construct candidate */
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  virtual bool constructCandidates(const std::vector<Node>& enums,
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                                   const std::vector<Node>& enum_values,
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                                   const std::vector<Node>& candidates,
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                                   std::vector<Node>& candidate_values,
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                                   std::vector<Node>& lems) override;
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  /** register refinement lemma
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   *
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   * This function stores lem as a refinement lemma, and adds it to lems.
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   */
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  virtual void registerRefinementLemma(const std::vector<Node>& vars,
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                                       Node lem,
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                                       std::vector<Node>& lems) override;
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  /** using repair const */
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  virtual bool usingRepairConst() override;
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 protected:
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  /** the evaluation unfold utility of d_tds */
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  SygusEvalUnfold* d_eval_unfold;
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  /** If SynthConjecture::d_base_inst is exists y. P( d, y ), then this is y. */
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  std::vector<Node> d_base_vars;
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  /**
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   * If SynthConjecture::d_base_inst is exists y. P( d, y ), then this is the
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   * formula P( SynthConjecture::d_candidates, y ).
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   */
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  Node d_base_body;
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  //----------------------------------cegis-implementation-specific
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  /**
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   * Do cegis-implementation-specific initialization for this class. The return
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   * value and behavior of this function is the same as initialize(...) above.
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   */
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  virtual bool processInitialize(Node conj,
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                                 Node n,
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                                 const std::vector<Node>& candidates,
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                                 std::vector<Node>& lemmas);
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  /** do cegis-implementation-specific post-processing for construct candidate
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   *
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   * satisfiedRl is whether all refinement lemmas are satisfied under the
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   * substitution { enums -> enum_values }.
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   *
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   * The return value and behavior of this function is the same as
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   * constructCandidates(...) above.
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   */
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  virtual bool processConstructCandidates(const std::vector<Node>& enums,
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                                          const std::vector<Node>& enum_values,
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                                          const std::vector<Node>& candidates,
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                                          std::vector<Node>& candidate_values,
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                                          bool satisfiedRl,
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                                          std::vector<Node>& lems);
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  //----------------------------------end cegis-implementation-specific
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  //-----------------------------------refinement lemmas
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  /** refinement lemmas */
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  std::vector<Node> d_refinement_lemmas;
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  /** (processed) conjunctions of refinement lemmas that are not unit */
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  std::unordered_set<Node> d_refinement_lemma_conj;
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  /** (processed) conjunctions of refinement lemmas that are unit */
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  std::unordered_set<Node> d_refinement_lemma_unit;
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  /** substitution entailed by d_refinement_lemma_unit */
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  std::vector<Node> d_rl_eval_hds;
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  std::vector<Node> d_rl_vals;
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  /** all variables appearing in refinement lemmas */
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  std::unordered_set<Node> d_refinement_lemma_vars;
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  /** adds lem as a refinement lemma */
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  void addRefinementLemma(Node lem);
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  /** add refinement lemma conjunct
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   *
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   * This is a helper function for addRefinementLemma.
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   *
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   * This adds waiting[wcounter] to the proper vector (d_refinement_lemma_conj
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   * or d_refinement_lemma_unit). In the case that waiting[wcounter] corresponds
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   * to a value propagation, e.g. it is of the form:
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   *   (eval x c1...cn) = c
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   * then it is added to d_refinement_lemma_unit, (eval x c1...cn) -> c is added
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   * as a substitution in d_rl_eval_hds/d_rl_eval_vals, and applied to previous
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   * lemmas in d_refinement_lemma_conj and lemmas waiting[k] for k>wcounter.
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   * Each lemma in d_refinement_lemma_conj that is modifed in this process is
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   * moved to the vector waiting.
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   */
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  void addRefinementLemmaConjunct(unsigned wcounter,
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                                  std::vector<Node>& waiting);
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  /** sample add refinement lemma
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   *
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   * This function will check if there is a sample point in d_sampler that
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   * refutes the candidate solution (d_quant_vars->vals). If so, it adds a
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   * refinement lemma to the lists d_refinement_lemmas that corresponds to that
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   * sample point, and adds a lemma to lems if cegisSample mode is not trust.
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   */
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  bool sampleAddRefinementLemma(const std::vector<Node>& candidates,
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                                const std::vector<Node>& vals,
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                                std::vector<Node>& lems);
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  /** evaluates candidate values on current refinement lemmas
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   *
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   * This method performs techniques that ensure that
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   * { candidates -> candidate_values } is a candidate solution that should
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   * be checked by the solution verifier of the CEGIS loop. This method
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   * invokes two sub-methods which may reject the current solution.
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   * The first is "refinement evaluation", described above the method
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   * getRefinementEvalLemmas below. The second is "evaluation unfolding",
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   * which eagerly unfolds applications of evaluation functions (see
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   * sygus_eval_unfold.h for details).
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   *
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   * If this method returns true, then { candidates -> candidate_values }
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   * is not ready to be tried as a candidate solution. In this case, it may add
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   * lemmas to lems.
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   *
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   * Notice that this method may return true without adding any lemmas to
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   * lems, in the case that terms from candidates are "actively-generated
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   * enumerators", since the model values of such terms are managed
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   * explicitly within getEnumeratedValue. In this case, the owner of the
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   * actively-generated enumerators (e.g. SynthConjecture) is responsible for
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   * blocking the current value of candidates.
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   */
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  bool addEvalLemmas(const std::vector<Node>& candidates,
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                     const std::vector<Node>& candidate_values,
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                     std::vector<Node>& lems);
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  /** Get the node corresponding to the conjunction of all refinement lemmas. */
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  Node getRefinementLemmaFormula();
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  //-----------------------------------end refinement lemmas
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  /** Get refinement evaluation lemmas
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   *
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   * This method performs "refinement evaluation", that is, it tests
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   * whether the current solution, given by { vs -> ms },
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   * satisfies all current refinement lemmas. If it does not, it may add
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   * blocking lemmas L to lems which exclude (a generalization of) the current
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   * solution.
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   *
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   * Given a candidate solution ms for candidates vs, this function adds lemmas
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   * to lems based on evaluating the conjecture, instantiated for ms, on lemmas
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   * for previous refinements (d_refinement_lemmas).
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   *
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   * Returns true if any such lemma exists.
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   */
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  bool getRefinementEvalLemmas(const std::vector<Node>& vs,
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                               const std::vector<Node>& ms,
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                               std::vector<Node>& lems);
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  /** Check refinement evaluation lemmas
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   *
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   * This method is similar to above, but does not perform any generalization
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   * techniques. It is used when we are using only fast enumerators for
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   * all functions-to-synthesize.
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   *
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   * Returns true if a refinement lemma is false for the solution
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   * { vs -> ms }.
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   */
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  bool checkRefinementEvalLemmas(const std::vector<Node>& vs,
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                                 const std::vector<Node>& ms);
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  /** sampler object for the option cegisSample()
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   *
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   * This samples points of the type of the inner variables of the synthesis
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   * conjecture (d_base_vars).
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   */
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  SygusSampler d_cegis_sampler;
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  /** cegis sample refine points
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   *
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   * Stores the list of indices of sample points in d_cegis_sampler we have
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   * added as refinement lemmas.
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   */
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  std::unordered_set<unsigned> d_cegis_sample_refine;
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  //---------------------------------for symbolic constructors
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  /** are we using symbolic constants?
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   *
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   * This flag is set ot true if at least one of the enumerators allocated
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   * by this class has been configured to allow model values with symbolic
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   * constructors, such as the "any constant" constructor.
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   */
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  bool d_usingSymCons;
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  //---------------------------------end for symbolic constructors
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};
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}  // namespace quantifiers
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}  // namespace theory
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}  // namespace cvc5
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#endif /* CVC5__THEORY__QUANTIFIERS__CEGIS_H */