// 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. import com.google.ortools.sat.CpModel; import com.google.ortools.sat.CpSolver; import com.google.ortools.sat.CpSolverStatus; import com.google.ortools.sat.IntVar; import com.google.ortools.sat.LinearExpr; import com.google.ortools.util.Domain; import java.util.logging.Logger; import java.util.Random; /** Tests the CP-SAT java interface. */ public class TestSatSolver { static { System.loadLibrary("jniortools"); } private static final Logger logger = Logger.getLogger(TestSatSolver.class.getName()); static void testDomainGetter() { System.out.println("testDomainGetter"); CpModel model = new CpModel(); // Create decision variables IntVar x = model.newIntVar(0, 5, "x"); Domain d = x.getDomain(); long[] flat = d.flattenedIntervals(); if (flat.length != 2 || flat[0] != 0 || flat[1] != 5) { throw new RuntimeException("Wrong domain"); } else { System.out.println(" ... test OK"); } } static void testCrashInPresolve() { System.out.println("testCrashInPresolve"); CpModel model = new CpModel(); // Create decision variables IntVar x = model.newIntVar(0, 5, "x"); IntVar y = model.newIntVar(0, 5, "y"); // Create a linear constraint which enforces that only x or y can be greater // than 0. model.addLinearConstraint(LinearExpr.sum(new IntVar[] { x, y }), 0, 1); // Create the objective variable IntVar obj = model.newIntVar(0, 3, "obj"); // Cut the domain of the objective variable model.addGreaterOrEqual(obj, 2); // Set a constraint that makes the problem infeasible model.addMaxEquality(obj, new IntVar[] { x, y }); // Optimize objective model.minimize(obj); // Create a solver and solve the model. CpSolver solver = new CpSolver(); com.google.ortools.sat.CpSolverStatus status = solver.solve(model); if (status != CpSolverStatus.INFEASIBLE) { throw new RuntimeException("Wrong status in testCrashInPresolve"); } else { System.out.println(" ... test OK"); } } private static IntVar[] entitiesOne; private static void testCrashInSolveWithAllowedAssignment() { System.out.println("testCrashInSolveWithAllowedAssignment"); final CpModel model = new CpModel(); final int numEntityOne = 50000; final int numEntityTwo = 100; entitiesOne = new IntVar[numEntityOne]; for (int i = 0; i < entitiesOne.length; i++) { entitiesOne[i] = model.newIntVar(1, numEntityTwo, "E" + i); } final int[][] allAllowedValues = new int[numEntityTwo][entitiesOne.length]; for (int i = 0; i < numEntityTwo; i++) { for (int j = 0; j < entitiesOne.length; j++) { allAllowedValues[i][j] = i; } } try { model.addAllowedAssignments(entitiesOne, allAllowedValues); } catch (final Exception e) { e.printStackTrace(); } final Random r = new Random(); for (int i = 0; i < entitiesOne.length; i++) { model.addEquality(entitiesOne[i], r.nextInt((numEntityTwo))); } final CpSolver solver = new CpSolver(); solver.solve(model); System.out.println(" ... test OK"); } private static void testCrashEquality() { System.out.println("testCrashInSolveWithAllowedAssignment"); final CpModel model = new CpModel(); final IntVar[] entities = new IntVar[20]; for (int i = 0; i < entities.length; i++) { entities[i] = model.newIntVar(1, 5, "E" + i); } final Integer[] equalities = new Integer[] { 18, 4, 19, 3, 12 }; addEqualities(model, entities, equalities); final Integer[] allowedAssignments = new Integer[] { 12, 8, 15 }; final Integer[] allowedAssignmentValues = new Integer[] { 1, 3 }; addAllowedAssignMents(model, entities, allowedAssignments, allowedAssignmentValues); final Integer[] forbiddenAssignments1 = new Integer[] { 6, 15, 19 }; final Integer[] forbiddenAssignments1Values = new Integer[] { 3 }; final Integer[] forbiddenAssignments2 = new Integer[] { 10, 19 }; final Integer[] forbiddenAssignments2Values = new Integer[] { 4 }; final Integer[] forbiddenAssignments3 = new Integer[] { 18, 0, 9, 7 }; final Integer[] forbiddenAssignments3Values = new Integer[] { 4 }; final Integer[] forbiddenAssignments4 = new Integer[] { 14, 11 }; final Integer[] forbiddenAssignments4Values = new Integer[] { 1, 2, 3, 4, 5 }; final Integer[] forbiddenAssignments5 = new Integer[] { 5, 16, 1, 3 }; final Integer[] forbiddenAssignments5Values = new Integer[] { 1, 2, 3, 4, 5 }; final Integer[] forbiddenAssignments6 = new Integer[] { 2, 6, 11, 4 }; final Integer[] forbiddenAssignments6Values = new Integer[] { 1, 2, 3, 4, 5 }; final Integer[] forbiddenAssignments7 = new Integer[] { 6, 18, 12, 2, 9, 14 }; final Integer[] forbiddenAssignments7Values = new Integer[] { 1, 2, 3, 4, 5 }; addForbiddenAssignments(forbiddenAssignments1Values, forbiddenAssignments1, entities, model); addForbiddenAssignments(forbiddenAssignments2Values, forbiddenAssignments2, entities, model); addForbiddenAssignments(forbiddenAssignments3Values, forbiddenAssignments3, entities, model); addForbiddenAssignments(forbiddenAssignments4Values, forbiddenAssignments4, entities, model); addForbiddenAssignments(forbiddenAssignments5Values, forbiddenAssignments5, entities, model); addForbiddenAssignments(forbiddenAssignments6Values, forbiddenAssignments6, entities, model); addForbiddenAssignments(forbiddenAssignments7Values, forbiddenAssignments7, entities, model); final Integer[] configuration = new Integer[] { 5, 4, 2, 3, 3, 3, 4, 3, 3, 1, 4, 4, 3, 1, 4, 1, 4, 4, 3, 3 }; for (int i = 0; i < configuration.length; i++) { model.addEquality(entities[i], configuration[i]); } final CpSolver solver = new CpSolver(); solver.solve(model); System.out.println(" ... test OK"); } private static void addEqualities(final CpModel model, final IntVar[] entities, final Integer[] equalities) { for (int i = 0; i < (equalities.length - 1); i++) { model.addEquality(entities[equalities[i]], entities[equalities[i + 1]]); } } private static void addAllowedAssignMents(final CpModel model, final IntVar[] entities, final Integer[] allowedAssignments, final Integer[] allowedAssignmentValues) { final int[][] allAllowedValues = new int[allowedAssignmentValues.length][allowedAssignments.length]; for (int i = 0; i < allowedAssignmentValues.length; i++) { final Integer value = allowedAssignmentValues[i]; for (int j = 0; j < allowedAssignments.length; j++) { allAllowedValues[i][j] = value; } } final IntVar[] specificEntities = new IntVar[allowedAssignments.length]; for (int i = 0; i < allowedAssignments.length; i++) { specificEntities[i] = entities[allowedAssignments[i]]; } try { model.addAllowedAssignments(specificEntities, allAllowedValues); } catch (final Exception e) { e.printStackTrace(); } } private static void addForbiddenAssignments(final Integer[] forbiddenAssignmentsValues, final Integer[] forbiddenAssignments, final IntVar[] entities, final CpModel model) { final IntVar[] specificEntities = new IntVar[forbiddenAssignments.length]; for (int i = 0; i < forbiddenAssignments.length; i++) { specificEntities[i] = entities[forbiddenAssignments[i]]; } final int[][] notAllowedValues = new int[forbiddenAssignmentsValues.length][forbiddenAssignments.length]; for (int i = 0; i < forbiddenAssignmentsValues.length; i++) { final Integer value = forbiddenAssignmentsValues[i]; for (int j = 0; j < forbiddenAssignments.length; j++) { notAllowedValues[i][j] = value; } } try { model.addForbiddenAssignments(specificEntities, notAllowedValues); } catch (final Exception e) { e.printStackTrace(); } } public static void main(String[] args) throws Exception { testDomainGetter(); testCrashInPresolve(); testCrashInSolveWithAllowedAssignment(); testCrashEquality(); } }