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cp_model_solver.h
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cp_model_solver.h
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// Copyright 2010-2021 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 <functional>
#include <string>
#include <vector>
#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<TimeLimit>()->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.
*
* WARNING: Except when enumerate_all_solution() is true, one shouldn't rely on
* this to get a set of "diverse" solutions since any future change to the
* solver might completely kill any diversity in the set of solutions observed.
*
* Valid usage of this includes implementing features like:
* - Enumerating all solution via enumerate_all_solution(). If only n solutions
* are needed, this can also be used to abort when this number is reached.
* - Aborting early if a good enough solution is found.
* - Displaying log progress.
* - etc...
*/
std::function<void(Model*)> NewFeasibleSolutionObserver(
const std::function<void(const CpSolverResponse& response)>& observer);
/**
* 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<SatParameters(Model*)> NewSatParameters(
const std::string& params);
#endif // !__PORTABLE_PLATFORM__
std::function<SatParameters(Model*)> NewSatParameters(
const SatParameters& parameters);
} // namespace sat
} // namespace operations_research
#endif // OR_TOOLS_SAT_CP_MODEL_SOLVER_H_