Files
ortools-clone/ortools/sat/samples/channeling_sample_sat.cc
Mizux Seiha 4f381f6d07 backport from main:
* bump abseil to 20250814
* bump protobuf to v32.0
* cmake: add ccache auto support
* backport flatzinc, math_opt and sat update
2025-09-16 16:25:04 +02:00

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2.7 KiB
C++

// Copyright 2010-2025 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 <stdlib.h>
#include "absl/base/log_severity.h"
#include "absl/log/globals.h"
#include "absl/types/span.h"
#include "ortools/base/init_google.h"
#include "ortools/base/logging.h"
#include "ortools/sat/cp_model.h"
#include "ortools/sat/cp_model.pb.h"
#include "ortools/sat/cp_model_solver.h"
#include "ortools/sat/model.h"
#include "ortools/sat/sat_parameters.pb.h"
namespace operations_research {
namespace sat {
void ChannelingSampleSat() {
// Create the CP-SAT model.
CpModelBuilder cp_model;
// Declare our two primary variables.
const IntVar x = cp_model.NewIntVar({0, 10});
const IntVar y = cp_model.NewIntVar({0, 10});
// Declare our intermediate boolean variable.
const BoolVar b = cp_model.NewBoolVar();
// Implement b == (x >= 5).
cp_model.AddGreaterOrEqual(x, 5).OnlyEnforceIf(b);
cp_model.AddLessThan(x, 5).OnlyEnforceIf(~b);
// Create our two half-reified constraints.
// First, b implies (y == 10 - x).
cp_model.AddEquality(x + y, 10).OnlyEnforceIf(b);
// Second, not(b) implies y == 0.
cp_model.AddEquality(y, 0).OnlyEnforceIf(~b);
// Search for x values in increasing order.
cp_model.AddDecisionStrategy({x}, DecisionStrategyProto::CHOOSE_FIRST,
DecisionStrategyProto::SELECT_MIN_VALUE);
// Create a solver and solve with a fixed search.
Model model;
SatParameters parameters;
parameters.set_search_branching(SatParameters::FIXED_SEARCH);
parameters.set_enumerate_all_solutions(true);
model.Add(NewSatParameters(parameters));
model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& r) {
LOG(INFO) << "x=" << SolutionIntegerValue(r, x)
<< " y=" << SolutionIntegerValue(r, y)
<< " b=" << SolutionBooleanValue(r, b);
}));
SolveCpModel(cp_model.Build(), &model);
}
} // namespace sat
} // namespace operations_research
int main(int argc, char* argv[]) {
InitGoogle(argv[0], &argc, &argv, true);
absl::SetStderrThreshold(absl::LogSeverityAtLeast::kInfo);
operations_research::sat::ChannelingSampleSat();
return EXIT_SUCCESS;
}
// [END program]