// Copyright 2010-2018 Google LLC // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #ifndef OR_TOOLS_SAT_CP_MODEL_SOLVER_H_ #define OR_TOOLS_SAT_CP_MODEL_SOLVER_H_ #include #include #include #include "ortools/base/integral_types.h" #include "ortools/sat/cp_model.pb.h" #include "ortools/sat/model.h" #include "ortools/sat/sat_parameters.pb.h" namespace operations_research { namespace sat { /// Solves the given CpModelProto and returns an instance of CpSolverResponse. CpSolverResponse Solve(const CpModelProto& model_proto); /// Solves the given CpModelProto with the given parameters. CpSolverResponse SolveWithParameters(const CpModelProto& model_proto, const SatParameters& params); /// Returns a string with some statistics on the given CpModelProto. std::string CpModelStats(const CpModelProto& model); /** Returns a string with some statistics on the solver response. * * If the second argument is false, we will just display NA for the objective * value instead of zero. It is not really needed but it makes things a bit * clearer to see that there is no objective. */ std::string CpSolverResponseStats(const CpSolverResponse& response, bool has_objective = true); /** * Solves the given CpModelProto. * * This advanced API accept a Model* which allows to access more adavanced * features by configuring some classes in the Model before solve. * * For instance: * - model->Add(NewSatParameters(parameters_as_string_or_proto)); * - model->GetOrCreate()->RegisterExternalBooleanAsLimit(&stop); * - model->Add(NewFeasibleSolutionObserver(observer)); */ CpSolverResponse SolveCpModel(const CpModelProto& model_proto, Model* model); #if !defined(__PORTABLE_PLATFORM__) /** * Solves the given CpModelProto with the given sat parameters as string in JSon * format, and returns an instance of CpSolverResponse. */ CpSolverResponse SolveWithParameters(const CpModelProto& model_proto, const std::string& params); #endif // !__PORTABLE_PLATFORM__ /** * Creates a solution observer with the model with * model.Add(NewFeasibleSolutionObserver([](response){...})); * * The given function will be called on each improving feasible solution found * during the search. For a non-optimization problem, if the option to find all * solution was set, then this will be called on each new solution. */ std::function NewFeasibleSolutionObserver( const std::function& observer); /** * If set, the underlying solver will call this function regularly in a * deterministic way. It will then wait until this function returns with the * current best information about the current problem. * * This is meant to be used in a multi-threaded environment with many parallel * solving process. If the returned current "best" response only uses * information derived at a lower deterministic time (possibly with offset) * than the deterministic time of the current thread, the whole process can * be made deterministic. */ void SetSynchronizationFunction(std::function f, Model* model); /** * Creates parameters for the solver, which you can add to the model with * \code model->Add(NewSatParameters(parameters_as_string_or_proto)) \endcode * before calling \c SolveCpModel(). */ #if !defined(__PORTABLE_PLATFORM__) std::function NewSatParameters( const std::string& params); #endif // !__PORTABLE_PLATFORM__ std::function NewSatParameters( const SatParameters& parameters); } // namespace sat } // namespace operations_research #endif // OR_TOOLS_SAT_CP_MODEL_SOLVER_H_