c34026b101
note: done using ```sh git grep -l "2010-2024 Google" | xargs sed -i 's/2010-2024 Google/2010-2025 Google/' ```
78 lines
2.5 KiB
Java
78 lines
2.5 KiB
Java
// Copyright 2010-2025 Google LLC
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// [START program]
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package com.google.ortools.sat.samples;
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// [START import]
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import com.google.ortools.Loader;
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import com.google.ortools.sat.CpModel;
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import com.google.ortools.sat.CpSolver;
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import com.google.ortools.sat.CpSolverStatus;
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import com.google.ortools.sat.IntVar;
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import com.google.ortools.sat.LinearExpr;
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// [END import]
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/** Minimal CP-SAT example to showcase cloning a model. */
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public final class CloneModelSampleSat {
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public static void main(String[] args) throws Exception {
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Loader.loadNativeLibraries();
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// Create the model.
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// [START model]
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CpModel model = new CpModel();
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// [END model]
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// Create the variables.
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// [START variables]
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int numVals = 3;
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IntVar x = model.newIntVar(0, numVals - 1, "x");
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IntVar y = model.newIntVar(0, numVals - 1, "y");
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IntVar z = model.newIntVar(0, numVals - 1, "z");
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// [END variables]
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// Create the constraints.
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// [START constraints]
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model.addDifferent(x, y);
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// [END constraints]
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// [START objective]
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model.maximize(LinearExpr.newBuilder().add(x).addTerm(y, 2).addTerm(z, 3).build());
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// [END objective]
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// Create a solver and solve the model.
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// [START solve]
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CpSolver solver = new CpSolver();
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CpSolverStatus unusedStatus = solver.solve(model);
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System.out.printf("Optimal value of the original model: %f\n", solver.objectiveValue());
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// [END solve]
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// [START clone]
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CpModel copy = model.getClone();
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// Add new constraint: copy_of_x + copy_of_y == 1.
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IntVar copyOfX = copy.getIntVarFromProtoIndex(x.getIndex());
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IntVar copyOfY = copy.getIntVarFromProtoIndex(y.getIndex());
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copy.addLessOrEqual(LinearExpr.newBuilder().add(copyOfX).add(copyOfY).build(), 1);
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// [END clone]
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unusedStatus = solver.solve(copy);
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System.out.printf("Optimal value of the cloned model: %f\n", solver.objectiveValue());
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}
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private CloneModelSampleSat() {}
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}
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// [END program]
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