GCC Code Coverage Report
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File: src/theory/arith/nl/cad/cdcac.h Lines: 2 2 100.0 %
Date: 2021-09-07 Branches: 0 0 0.0 %

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/******************************************************************************
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 * Top contributors (to current version):
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 *   Gereon Kremer
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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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 * Implements the CDCAC approach as described in
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 * https://arxiv.org/pdf/2003.05633.pdf.
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 */
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#include "cvc5_private.h"
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#ifndef CVC5__THEORY__ARITH__NL__CAD__CDCAC_H
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#define CVC5__THEORY__ARITH__NL__CAD__CDCAC_H
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#ifdef CVC5_POLY_IMP
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#include <poly/polyxx.h>
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#include <vector>
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#include "smt/env.h"
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#include "theory/arith/nl/cad/cdcac_utils.h"
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#include "theory/arith/nl/cad/constraints.h"
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#include "theory/arith/nl/cad/proof_generator.h"
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#include "theory/arith/nl/cad/variable_ordering.h"
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namespace cvc5 {
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namespace theory {
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namespace arith {
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namespace nl {
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class NlModel;
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namespace cad {
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/**
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 * This class implements Cylindrical Algebraic Coverings as presented in
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 * https://arxiv.org/pdf/2003.05633.pdf
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 */
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class CDCAC
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{
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 public:
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  /** Initialize this method with the given variable ordering. */
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  CDCAC(Env& env, const std::vector<poly::Variable>& ordering = {});
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  /** Reset this instance. */
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  void reset();
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  /** Collect variables from the constraints and compute a variable ordering. */
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  void computeVariableOrdering();
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  /**
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   * Extract an initial assignment from the given model.
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   * This initial assignment is used to guide sampling if possible.
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   * The ran_variable should be the variable used to encode real algebraic
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   * numbers in the model and is simply passed on to node_to_value.
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   */
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  void retrieveInitialAssignment(NlModel& model, const Node& ran_variable);
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  /**
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   * Returns the constraints as a non-const reference. Can be used to add new
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   * constraints.
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   */
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  Constraints& getConstraints();
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  /** Returns the constraints as a const reference. */
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  const Constraints& getConstraints() const;
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  /**
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   * Returns the current assignment. This is a satisfying model if
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   * get_unsat_cover() returned an empty vector.
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   */
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  const poly::Assignment& getModel() const;
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  /** Returns the current variable ordering. */
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  const std::vector<poly::Variable>& getVariableOrdering() const;
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  /**
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   * Collect all unsatisfiable intervals for the given variable.
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   * Combines unsatisfiable regions from d_constraints evaluated over
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   * d_assignment. Implements Algorithm 2.
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   */
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  std::vector<CACInterval> getUnsatIntervals(std::size_t cur_variable);
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  /**
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   * Sample outside of the set of intervals.
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   * Uses a given initial value from mInitialAssignment if possible.
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   * Returns whether a sample was found (true) or the infeasible intervals cover
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   * the whole real line (false).
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   */
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  bool sampleOutsideWithInitial(const std::vector<CACInterval>& infeasible,
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                                poly::Value& sample,
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                                std::size_t cur_variable);
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  /**
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   * Collects the coefficients required for projection from the given
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   * polynomial. Implements Algorithm 6, depending on the command line
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   * arguments. Either directly implements Algorithm 6, or improved variants
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   * based on Lazard's projection.
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   */
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  PolyVector requiredCoefficients(const poly::Polynomial& p);
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  /**
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   * Constructs a characterization of the given covering.
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   * A characterization contains polynomials whose roots bound the region around
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   * the current assignment. Implements Algorithm 4.
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   */
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  PolyVector constructCharacterization(std::vector<CACInterval>& intervals);
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  /**
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   * Constructs an infeasible interval from a characterization.
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   * Implements Algorithm 5.
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   */
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  CACInterval intervalFromCharacterization(const PolyVector& characterization,
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                                           std::size_t cur_variable,
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                                           const poly::Value& sample);
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  /**
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   * Main method that checks for the satisfiability of the constraints.
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   * Recursively explores possible assignments and excludes regions based on the
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   * coverings. Returns either a covering for the lowest dimension or an empty
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   * vector. If the covering is empty, the result is SAT and an assignment can
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   * be obtained from d_assignment. If the covering is not empty, the result is
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   * UNSAT and an infeasible subset can be extracted from the returned covering.
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   * Implements Algorithm 2.
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   * @param curVariable The id of the variable (within d_variableOrdering) to
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   * be considered. This argument is used to manage the recursion internally and
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   * should always be zero if called externally.
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   * @param returnFirstInterval If true, the function returns after the first
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   * interval obtained from a recursive call. The result is not (necessarily) an
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   * unsat cover, but merely a list of infeasible intervals.
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   */
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  std::vector<CACInterval> getUnsatCover(std::size_t curVariable = 0,
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                                         bool returnFirstInterval = false);
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  void startNewProof();
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  /**
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   * Finish the generated proof (if proofs are enabled) with a scope over the
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   * given assertions.
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   */
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  ProofGenerator* closeProof(const std::vector<Node>& assertions);
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  /** Get the proof generator */
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  CADProofGenerator* getProof() { return d_proof.get(); }
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 private:
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  /** Check whether proofs are enabled */
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  bool isProofEnabled() const { return d_proof != nullptr; }
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  /**
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   * Check whether the current sample satisfies the integrality condition of the
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   * current variable. Returns true if the variable is not integral or the
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   * sample is integral.
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   */
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  bool checkIntegrality(std::size_t cur_variable, const poly::Value& value);
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  /**
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   * Constructs an interval that excludes the non-integral region around the
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   * current sample. Assumes !check_integrality(cur_variable, value).
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   */
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  CACInterval buildIntegralityInterval(std::size_t cur_variable,
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                                       const poly::Value& value);
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  /**
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   * Check whether the polynomial has a real root above the given value (when
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   * evaluated over the current assignment).
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   */
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  bool hasRootAbove(const poly::Polynomial& p, const poly::Value& val) const;
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  /**
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   * Check whether the polynomial has a real root below the given value (when
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   * evaluated over the current assignment).
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   */
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  bool hasRootBelow(const poly::Polynomial& p, const poly::Value& val) const;
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  /**
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   * Sort intervals according to section 4.4.1. and removes fully redundant
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   * intervals as in 4.5. 1. by calling out to cleanIntervals.
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   * Additionally makes sure to prune proofs for removed intervals.
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   */
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  void pruneRedundantIntervals(std::vector<CACInterval>& intervals);
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  /** A reference to the environment */
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  Env& d_env;
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  /**
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   * The current assignment. When the method terminates with SAT, it contains a
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   * model for the input constraints.
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   */
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  poly::Assignment d_assignment;
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  /** The set of input constraints to be checked for consistency. */
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  Constraints d_constraints;
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  /** The computed variable ordering used for this method. */
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  std::vector<poly::Variable> d_variableOrdering;
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  /** The object computing the variable ordering. */
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  VariableOrdering d_varOrder;
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  /** The linear assignment used as an initial guess. */
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  std::vector<poly::Value> d_initialAssignment;
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  /** The proof generator */
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  std::unique_ptr<CADProofGenerator> d_proof;
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};
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}  // namespace cad
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}  // namespace nl
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}  // namespace arith
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}  // namespace theory
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}  // namespace cvc5
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#endif
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#endif