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copy_model_sample_sat.cc
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copy_model_sample_sat.cc
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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.
// [START program]
#include "ortools/sat/cp_model.h"
#include "ortools/sat/model.h"
namespace operations_research {
namespace sat {
void CopyModelSat() {
// [START model]
CpModelBuilder cp_model;
// [END model]
// [START variables]
const Domain domain(0, 2);
const IntVar x = cp_model.NewIntVar(domain).WithName("x");
const IntVar y = cp_model.NewIntVar(domain).WithName("y");
const IntVar z = cp_model.NewIntVar(domain).WithName("z");
// [END variables]
// [START constraints]
cp_model.AddNotEqual(x, y);
// [END constraints]
// [START objective]
cp_model.Maximize(LinearExpr::ScalProd({x, y, z}, {1, 2, 3}));
// [END objective]
const CpSolverResponse initial_response = Solve(cp_model.Build());
LOG(INFO) << "Optimal value of the original model: "
<< initial_response.objective_value();
CpModelBuilder copy;
copy.CopyFrom(cp_model.Proto());
// Add new constraint: copy_of_x + copy_of_y == 1.
IntVar copy_of_x = copy.GetIntVarFromProtoIndex(x.index());
IntVar copy_of_y = copy.GetIntVarFromProtoIndex(y.index());
copy.AddLessOrEqual(LinearExpr::Sum({copy_of_x, copy_of_y}), 1);
const CpSolverResponse modified_response = Solve(copy.Build());
LOG(INFO) << "Optimal value of the modified model: "
<< modified_response.objective_value();
}
} // namespace sat
} // namespace operations_research
int main() {
operations_research::sat::CopyModelSat();
return EXIT_SUCCESS;
}
// [END program]