mirror of
https://github.com/ethereum/solidity
synced 2023-10-03 13:03:40 +00:00
251 lines
7.7 KiB
C++
251 lines
7.7 KiB
C++
/*
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This file is part of solidity.
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solidity is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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solidity is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with solidity. If not, see <http://www.gnu.org/licenses/>.
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*/
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// SPDX-License-Identifier: GPL-3.0
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#pragma once
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#include <libsolutil/Numeric.h>
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#include <libsolutil/LinearExpression.h>
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#include <boost/rational.hpp>
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#include <vector>
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#include <variant>
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#include <functional>
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namespace solidity::util
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{
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using Model = std::map<std::string, rational>;
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using ReasonSet = std::set<size_t>;
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/**
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* Constraint of the form
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* - data[1] * x_1 + data[2] * x_2 + ... <= data[0] (LESS_OR_EQUAL)
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* - data[1] * x_1 + data[2] * x_2 + ... < data[0] (LESS_THAN)
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* - data[1] * x_1 + data[2] * x_2 + ... = data[0] (EQUAL)
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* The set and order of variables is implied.
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*/
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struct Constraint
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{
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LinearExpression data;
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enum Kind { EQUAL, LESS_THAN, LESS_OR_EQUAL };
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Kind kind = LESS_OR_EQUAL;
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bool operator<(Constraint const& _other) const;
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bool operator==(Constraint const& _other) const;
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};
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/**
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* A two-dimensional rational number "a + b*delta" that can be used to perform strict comparisons:
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* x > 0 is transformed into x >= 1*delta, where delta is assumed to be "small". Its value
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* is never explicitly computed / set, it is just a symbolic parameter.
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*/
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struct RationalWithDelta
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{
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RationalWithDelta(rational _x = {}): m_main(move(_x)) {}
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static RationalWithDelta delta()
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{
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RationalWithDelta x(0);
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x.m_delta = 1;
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return x;
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}
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RationalWithDelta& operator+=(RationalWithDelta const& _other)
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{
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m_main += _other.m_main;
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m_delta += _other.m_delta;
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return *this;
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}
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RationalWithDelta& operator-=(RationalWithDelta const& _other)
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{
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m_main -= _other.m_main;
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m_delta -= _other.m_delta;
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return *this;
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}
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RationalWithDelta operator-(RationalWithDelta const& _other) const
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{
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RationalWithDelta ret = *this;
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ret -= _other;
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return ret;
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}
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RationalWithDelta& operator*=(rational const& _factor)
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{
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m_main *= _factor;
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m_delta *= _factor;
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return *this;
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}
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RationalWithDelta operator*(rational const& _factor) const
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{
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RationalWithDelta ret = *this;
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ret *= _factor;
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return ret;
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}
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RationalWithDelta& operator/=(rational const& _factor)
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{
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m_main /= _factor;
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m_delta /= _factor;
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return *this;
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}
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RationalWithDelta operator/(rational const& _factor) const
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{
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RationalWithDelta ret = *this;
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ret /= _factor;
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return ret;
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}
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bool operator<=(RationalWithDelta const& _other) const
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{
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return std::tie(m_main, m_delta) <= std::tie(_other.m_main, _other.m_delta);
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}
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bool operator>=(RationalWithDelta const& _other) const
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{
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return std::tie(m_main, m_delta) >= std::tie(_other.m_main, _other.m_delta);
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}
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bool operator<(RationalWithDelta const& _other) const
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{
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return std::tie(m_main, m_delta) < std::tie(_other.m_main, _other.m_delta);
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}
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bool operator>(RationalWithDelta const& _other) const
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{
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return std::tie(m_main, m_delta) > std::tie(_other.m_main, _other.m_delta);
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}
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bool operator==(RationalWithDelta const& _other) const
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{
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return std::tie(m_main, m_delta) == std::tie(_other.m_main, _other.m_delta);
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}
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bool operator!=(RationalWithDelta const& _other) const
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{
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return std::tie(m_main, m_delta) != std::tie(_other.m_main, _other.m_delta);
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}
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std::string toString() const;
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rational m_main;
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rational m_delta;
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};
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}
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namespace solidity::util
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{
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enum class LPResult
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{
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Unknown,
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Unbounded, ///< System has a solution, but it can have an arbitrary objective value.
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Feasible, ///< System has a solution (it might be unbounded, though).
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Infeasible ///< System does not have any solution.
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};
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/**
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* LP solver for rational problems, based on "A Fast Linear-Arithmetic Solver for DPLL(T)*"
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* by Dutertre and Moura.
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*
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* Does not solve integer problems!
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*
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* Tries to split incoming bounds and constraints into unrelated sub-problems.
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* Maintains lower/upper bounds for all variables.
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* Adds one slack variable per constraint and stores all constraints as "= 0" equations.
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* Splits variables into basic and non-basic. For each row there is exactly one
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* basic variable that has a factor of -1.
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* The equations are satisfied at all times and non-basic variables are always within their bounds.
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* Non-basic variables might violate their bounds.
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* It attempts to resolve these violations in turn, swapping a basic variables with a non-basic
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* variables that can still move in the required direction.
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*
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* It is perfectly fine to add new bounds, variable or constraints after a call to "check".
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* The solver can be copied at low cost and it uses a "copy on write" mechanism for the sub-problems.
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*/
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class LPSolver
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{
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public:
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void addConstraint(Constraint const& _constraint, std::optional<size_t> _reason = std::nullopt);
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void setVariableName(size_t _variable, std::string _name);
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void addLowerBound(size_t _variable, RationalWithDelta _bound, std::optional<size_t> _reason = std::nullopt);
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void addUpperBound(size_t _variable, RationalWithDelta _bound, std::optional<size_t> _reason = std::nullopt);
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std::pair<LPResult, ReasonSet> check();
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std::string toString() const;
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std::map<std::string, rational> model() const;
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private:
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struct Bounds
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{
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std::optional<RationalWithDelta> lower;
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std::optional<RationalWithDelta> upper;
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std::optional<size_t> lowerReason;
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std::optional<size_t> upperReason;
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};
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struct Variable
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{
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#ifdef DEBUG
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std::string name = {};
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#endif
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RationalWithDelta value = {};
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Bounds bounds = {};
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};
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struct SubProblem
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{
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/// Set to true on "check". Needs a copy for adding a constraint or bound if set to true.
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bool sealed = false;
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std::optional<LPResult> result = std::nullopt;
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std::vector<LinearExpression> factors;
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std::vector<Variable> variables;
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std::set<size_t> variablesPotentiallyOutOfBounds;
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/// Variable index to constraint it controls.
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std::map<size_t, size_t> basicVariables;
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/// Maps outer indices to inner indices.
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std::map<size_t, size_t> varMapping = {};
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std::set<size_t> reasons;
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LPResult check();
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std::string toString() const;
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private:
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bool correctNonbasic();
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/// Set value of non-basic variable.
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void update(size_t _varIndex, RationalWithDelta const& _value);
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/// @returns the index of the first basic variable violating its bounds.
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std::optional<size_t> firstConflictingBasicVariable() const;
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std::optional<size_t> firstReplacementVar(size_t _basicVarToReplace, bool _increasing) const;
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/// @returns the set of reasons in case "firstReplacementVar" failed.
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std::set<size_t> reasonsForUnsat(size_t _basicVarToReplace, bool _increasing) const;
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void pivot(size_t _old, size_t _new);
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void pivotAndUpdate(size_t _oldBasicVar, RationalWithDelta const& _newValue, size_t _newBasicVar);
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};
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SubProblem& unseal(size_t _problem);
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/// Unseals the problem for the given variable or creates a new one.
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SubProblem& unsealForVariable(size_t _outerIndex);
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void combineSubProblems(size_t _combineInto, size_t _combineFrom);
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void addConstraintToSubProblem(size_t _subProblem, Constraint const& _constraint, std::optional<size_t> _reason);
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void addOuterVariableToSubProblem(size_t _subProblem, size_t _outerIndex);
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size_t addNewVariableToSubProblem(size_t _subProblem);
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/// These use "copy on write".
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std::vector<std::shared_ptr<SubProblem>> m_subProblems;
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/// Maps outer indices to sub problems.
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std::map<size_t, size_t> m_subProblemsPerVariable;
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/// Counter to enable unique names for the slack variables.
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size_t m_slackVariableCounter = 0;
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};
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}
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