chore: adapt to latest changes in the solver (#31)

Author: triceo

src/main/java/ai/timefold/solver/benchmarks/micro/scoredirector/problems/AbstractProblem.java

@@ -21,6 +21,7 @@
 import ai.timefold.solver.core.impl.localsearch.scope.LocalSearchPhaseScope;
 import ai.timefold.solver.core.impl.localsearch.scope.LocalSearchStepScope;
 import ai.timefold.solver.core.impl.move.director.MoveDirector;
+import ai.timefold.solver.core.impl.score.constraint.ConstraintMatchPolicy;
 import ai.timefold.solver.core.impl.score.director.InnerScoreDirector;
 import ai.timefold.solver.core.impl.score.director.InnerScoreDirectorFactory;
 import ai.timefold.solver.core.impl.solver.DefaultSolver;
@@ -102,7 +103,8 @@ public final void setupTrial() {
     public final void setupIteration() {
         // We only care about incremental performance; therefore calculate the entire solution outside of invocation.
         scoreDirector = scoreDirectorFactory.buildScoreDirector(false,
-                scoreDirectorType == ScoreDirectorType.CONSTRAINT_STREAMS_JUSTIFIED);
+                scoreDirectorType == ScoreDirectorType.CONSTRAINT_STREAMS_JUSTIFIED ? ConstraintMatchPolicy.ENABLED
+                        : ConstraintMatchPolicy.DISABLED);
         scoreDirector.setWorkingSolution(scoreDirector.cloneSolution(originalSolution)); // Use fresh solution again.
         scoreDirector.triggerVariableListeners();
         scoreDirector.calculateScore();

src/main/java/ai/timefold/solver/benchmarks/micro/scoredirector/problems/ProblemInitializer.java

@@ -22,6 +22,7 @@
 import ai.timefold.solver.core.impl.constructionheuristic.DefaultConstructionHeuristicPhaseFactory;
 import ai.timefold.solver.core.impl.domain.solution.descriptor.SolutionDescriptor;
 import ai.timefold.solver.core.impl.heuristic.HeuristicConfigPolicy;
+import ai.timefold.solver.core.impl.score.constraint.ConstraintMatchPolicy;
 import ai.timefold.solver.core.impl.score.director.InnerScoreDirectorFactory;
 import ai.timefold.solver.core.impl.solver.ClassInstanceCache;
 import ai.timefold.solver.core.impl.solver.DefaultSolver;
@@ -60,7 +61,7 @@ public static synchronized <Solution_> Solution_ getSolution(Example example,
 
     private static <Solution_> Solution_ initialize(Example example, Solution_ uninitializedSolution,
             InnerScoreDirectorFactory<Solution_, ?> scoreDirectorFactory) {
-        try (var scoreDirector = scoreDirectorFactory.buildScoreDirector(false, false)) {
+        try (var scoreDirector = scoreDirectorFactory.buildScoreDirector(false, ConstraintMatchPolicy.DISABLED)) {
             scoreDirector.setWorkingSolution(uninitializedSolution);
             scoreDirector.triggerVariableListeners();
             var score = scoreDirector.calculateScore();