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1 : : /****************************************************************************** 2 : : * Top contributors (to current version): 3 : : * Tim King, Gereon Kremer, Morgan Deters 4 : : * 5 : : * This file is part of the cvc5 project. 6 : : * 7 : : * Copyright (c) 2009-2025 by the authors listed in the file AUTHORS 8 : : * in the top-level source directory and their institutional affiliations. 9 : : * All rights reserved. See the file COPYING in the top-level source 10 : : * directory for licensing information. 11 : : * **************************************************************************** 12 : : * 13 : : * This is an implementation of the Simplex Module for the Simplex for 14 : : * DPLL(T)decision procedure. 15 : : * 16 : : * This implements the Simplex module for the Simpelx for DPLL(T) decision 17 : : * procedure. 18 : : * See the Simplex for DPLL(T) technical report for more background.(citation?) 19 : : * This shares with the theory a Tableau, and a PartialModel that: 20 : : * - satisfies the equalities in the Tableau, and 21 : : * - the assignment for the non-basic variables satisfies their bounds. 22 : : * This is required to either produce a conflict or satisifying PartialModel. 23 : : * Further, we require being told when a basic variable updates its value. 24 : : * 25 : : * During the Simplex search we maintain a queue of variables. 26 : : * The queue is required to contain all of the basic variables that voilate 27 : : * their bounds. 28 : : * As elimination from the queue is more efficient to be done lazily, 29 : : * we do not maintain that the queue of variables needs to be only basic 30 : : * variables or only variables that satisfy their bounds. 31 : : * 32 : : * The simplex procedure roughly follows Alberto's thesis. (citation?) 33 : : * There is one round of selecting using a heuristic pivoting rule. 34 : : * (See PreferenceFunction Documentation for the available options.) 35 : : * The non-basic variable is the one that appears in the fewest pivots. 36 : : * (Bruno says that Leonardo invented this first.) 37 : : * After this, Bland's pivot rule is invoked. 38 : : * 39 : : * During this process, we periodically inspect the queue of variables to 40 : : * 1) remove now extraneous extries, 41 : : * 2) detect conflicts that are "waiting" on the queue but may not be detected 42 : : * by the current queue heuristics, and 43 : : * 3) detect multiple conflicts. 44 : : * 45 : : * Conflicts are greedily slackened to use the weakest bounds that still 46 : : * produce the conflict. 47 : : * 48 : : * Extra things tracked atm: (Subject to change at Tim's whims) 49 : : * - A superset of all of the newly pivoted variables. 50 : : * - A queue of additional conflicts that were discovered by Simplex. 51 : : * These are theory valid and are currently turned into lemmas 52 : : */ 53 : : 54 : : #include "cvc5_private.h" 55 : : 56 : : #pragma once 57 : : 58 : : #include "theory/arith/linear/error_set.h" 59 : : #include "theory/arith/linear/linear_equality.h" 60 : : #include "theory/arith/linear/simplex.h" 61 : : #include "theory/arith/linear/simplex_update.h" 62 : : #include "util/dense_map.h" 63 : : #include "util/statistics_stats.h" 64 : : 65 : : namespace cvc5::internal { 66 : : namespace theory { 67 : : namespace arith::linear { 68 : : 69 : : class FCSimplexDecisionProcedure : public SimplexDecisionProcedure{ 70 : : public: 71 : : FCSimplexDecisionProcedure(Env& env, 72 : : LinearEqualityModule& linEq, 73 : : ErrorSet& errors, 74 : : RaiseConflict conflictChannel, 75 : : TempVarMalloc tvmalloc); 76 : : 77 : : Result::Status findModel(bool exactResult) override; 78 : : 79 : : // other error variables are dropping 80 : : WitnessImprovement dualLikeImproveError(ArithVar evar); 81 : : WitnessImprovement primalImproveError(ArithVar evar); 82 : : 83 : : // dual like 84 : : // - found conflict 85 : : // - satisfied error set 86 : : Result::Status dualLike(); 87 : : 88 : : private: 89 : : static constexpr uint32_t PENALTY = 4; 90 : : DenseMultiset d_scores; 91 : 0 : void decreasePenalties() { d_scores.removeOneOfEverything(); } 92 : 0 : uint32_t penalty(ArithVar x) const { return d_scores.count(x); } 93 : 0 : void setPenalty(ArithVar x, WitnessImprovement w) 94 : : { 95 [ - - ]: 0 : if (improvement(w)) 96 : : { 97 [ - - ]: 0 : if (d_scores.count(x) > 0) 98 : : { 99 : 0 : d_scores.removeAll(x); 100 : : } 101 : : } 102 : : else 103 : : { 104 : 0 : d_scores.setCount(x, PENALTY); 105 : : } 106 : 0 : } 107 : : 108 : : /** The size of the focus set. */ 109 : : uint32_t d_focusSize; 110 : : 111 : : /** The current error focus variable. */ 112 : : ArithVar d_focusErrorVar; 113 : : 114 : : /** 115 : : * The signs of the coefficients in the focus set. 116 : : * This is empty until this has been loaded. 117 : : */ 118 : : DenseMap<const Rational*> d_focusCoefficients; 119 : : 120 : : /** 121 : : * Loads the signs of the coefficients of the variables on the row d_focusErrorVar 122 : : * into d_focusSgns. 123 : : */ 124 : : void loadFocusSigns(); 125 : : 126 : : /** Unloads the information from d_focusSgns. */ 127 : : void unloadFocusSigns(); 128 : : 129 : : /** 130 : : * The signs of a variable in the row of d_focusErrorVar. 131 : : * d_focusSgns must be loaded. 132 : : */ 133 : : const Rational& focusCoefficient(ArithVar nb) const; 134 : : 135 : : int32_t d_pivotBudget; 136 : : 137 : : WitnessImprovement d_prevWitnessImprovement; 138 : : uint32_t d_witnessImprovementInARow; 139 : : 140 : : uint32_t degeneratePivotsInARow() const; 141 : : 142 : : static constexpr uint32_t s_focusThreshold = 6; 143 : : static constexpr uint32_t s_maxDegeneratePivotsBeforeBlandsOnLeaving = 100; 144 : : static constexpr uint32_t s_maxDegeneratePivotsBeforeBlandsOnEntering = 10; 145 : : 146 : : DenseMap<uint32_t> d_leavingCountSinceImprovement; 147 : 0 : void increaseLeavingCount(ArithVar x){ 148 [ - - ]: 0 : if(!d_leavingCountSinceImprovement.isKey(x)){ 149 : 0 : d_leavingCountSinceImprovement.set(x,1); 150 : : }else{ 151 : 0 : (d_leavingCountSinceImprovement.get(x))++; 152 : : } 153 : 0 : } 154 : 0 : LinearEqualityModule::UpdatePreferenceFunction selectLeavingFunction(ArithVar x){ 155 [ - - ]: 0 : bool useBlands = d_leavingCountSinceImprovement.isKey(x) && 156 [ - - ]: 0 : d_leavingCountSinceImprovement[x] >= s_maxDegeneratePivotsBeforeBlandsOnEntering; 157 [ - - ]: 0 : if(useBlands) { 158 : 0 : return &LinearEqualityModule::preferWitness<false>; 159 : : } else { 160 : 0 : return &LinearEqualityModule::preferWitness<true>; 161 : : } 162 : : } 163 : : 164 : : bool debugDualLike(WitnessImprovement w, std::ostream& out, 165 : : uint32_t prevFocusSize, uint32_t prevErrorSize) const; 166 : : 167 : : void debugPrintSignal(ArithVar updated) const; 168 : : 169 : : ArithVarVec d_sgnDisagreements; 170 : : 171 : : void logPivot(WitnessImprovement w); 172 : : 173 : : void updateAndSignal(const UpdateInfo& selected); 174 : : 175 : : UpdateInfo selectPrimalUpdate( 176 : : ArithVar error, LinearEqualityModule::UpdatePreferenceFunction upf); 177 : : 178 : 0 : UpdateInfo selectUpdateForDualLike(ArithVar basic){ 179 : 0 : TimerStat::CodeTimer codeTimer(d_statistics.d_selectUpdateForDualLike); 180 : : 181 : 0 : LinearEqualityModule::UpdatePreferenceFunction upf = 182 : : &LinearEqualityModule::preferWitness<true>; 183 : 0 : return selectPrimalUpdate(basic, upf); 184 : 0 : } 185 : : 186 : 0 : UpdateInfo selectUpdateForPrimal(ArithVar basic, bool useBlands){ 187 : 0 : TimerStat::CodeTimer codeTimer(d_statistics.d_selectUpdateForPrimal); 188 : : 189 : : LinearEqualityModule::UpdatePreferenceFunction upf; 190 [ - - ]: 0 : if(useBlands) { 191 : 0 : upf = &LinearEqualityModule::preferWitness<false>; 192 : : } else { 193 : 0 : upf = &LinearEqualityModule::preferWitness<true>; 194 : : } 195 : : 196 : 0 : return selectPrimalUpdate(basic, upf); 197 : 0 : } 198 : : WitnessImprovement selectFocusImproving() ; 199 : : 200 : : WitnessImprovement focusUsingSignDisagreements(ArithVar basic); 201 : : WitnessImprovement focusDownToLastHalf(); 202 : : WitnessImprovement adjustFocusShrank(const ArithVarVec& drop); 203 : : WitnessImprovement focusDownToJust(ArithVar v); 204 : : 205 : : void adjustFocusAndError(const AVIntPairVec& focusChanges); 206 : : 207 : : /** 208 : : * This is the main simplex for DPLL(T) loop. 209 : : * It runs for at most maxIterations. 210 : : * 211 : : * Returns true iff it has found a conflict. 212 : : * d_conflictVariable will be set and the conflict for this row is reported. 213 : : */ 214 : : bool searchForFeasibleSolution(uint32_t maxIterations); 215 : : 216 : 0 : bool initialProcessSignals(){ 217 : 0 : TimerStat &timer = d_statistics.d_initialSignalsTime; 218 : 0 : IntStat& conflictStat = d_statistics.d_initialConflicts; 219 : 0 : bool res = standardProcessSignals(timer, conflictStat); 220 : 0 : d_focusSize = d_errorSet.focusSize(); 221 : 0 : return res; 222 : : } 223 : : 224 : : static bool debugCheckWitness(const UpdateInfo& inf, WitnessImprovement w, bool useBlands); 225 : : 226 : : /** These fields are designed to be accessible to TheoryArith methods. */ 227 : : class Statistics { 228 : : public: 229 : : TimerStat d_initialSignalsTime; 230 : : IntStat d_initialConflicts; 231 : : 232 : : IntStat d_fcFoundUnsat; 233 : : IntStat d_fcFoundSat; 234 : : IntStat d_fcMissed; 235 : : 236 : : TimerStat d_fcTimer; 237 : : TimerStat d_fcFocusConstructionTimer; 238 : : 239 : : TimerStat d_selectUpdateForDualLike; 240 : : TimerStat d_selectUpdateForPrimal; 241 : : 242 : : ReferenceStat<uint32_t> d_finalCheckPivotCounter; 243 : : 244 : : Statistics(StatisticsRegistry& sr, 245 : : const std::string& name, 246 : : uint32_t& pivots); 247 : : } d_statistics; 248 : : };/* class FCSimplexDecisionProcedure */ 249 : : 250 : : } // namespace arith 251 : : } // namespace theory 252 : : } // namespace cvc5::internal