chore: prepare for list var value range on entity (#65)

Author: zepfred

src/main/java/ai/timefold/solver/benchmarks/competitive/AbstractCompetitiveBenchmark.java

@@ -20,6 +20,7 @@
 import ai.timefold.solver.core.api.solver.SolverFactory;
 import ai.timefold.solver.core.config.solver.SolverConfig;
 import ai.timefold.solver.core.impl.score.director.InnerScore;
+import ai.timefold.solver.core.impl.score.director.ValueRangeManager;
 import ai.timefold.solver.core.impl.solver.DefaultSolverFactory;
 
 import org.slf4j.Logger;
@@ -198,7 +199,8 @@ private Result<Dataset_, Score_> solveDataset(Configuration_ configuration, Data
                 totalDatasetCount, minutesRemaining, configuration.name());
         var bestSolution = solver.solve(solution);
         var solutionDescriptor = ((DefaultSolverFactory<Solution_>) solverFactory).getSolutionDescriptor();
-        var initializationStatistics = solutionDescriptor.computeInitializationStatistics(bestSolution);
+        var initializationStatistics =
+                solutionDescriptor.computeInitializationStatistics(bestSolution, new ValueRangeManager<>());
         var actualDistance = extractScore(bestSolution);
         var innerScore = initializationStatistics.isInitialized() ? InnerScore.fullyAssigned(actualDistance)
                 : InnerScore.withUnassignedCount(actualDistance, initializationStatistics.getInitCount());

src/main/java/ai/timefold/solver/benchmarks/micro/cloning/Configuration.java

@@ -28,7 +28,7 @@ public static Configuration getDefault() {
     private final List<Example> enabledExamples;
 
     private Configuration(List<Example> enabledExamples, int forkCount, int warmupIterations, int measurementIterations,
-                          double relativeScoreErrorThreshold) {
+            double relativeScoreErrorThreshold) {
         super(forkCount, warmupIterations, measurementIterations, relativeScoreErrorThreshold);
         this.enabledExamples = enabledExamples;
     }

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

@@ -141,6 +141,7 @@ public final void setupIteration() {
         // Prepare the lifecycle.
         var solverScope = new SolverScope<Solution_>();
         solverScope.setScoreDirector(scoreDirector);
+        solverScope.setValueRangeManager(scoreDirector.getValueRangeManager());
         solverScope.setWorkingRandom(new Random(0)); // Fully reproducible random selection.
         moveRepository.solvingStarted(solverScope);
         phaseScope = new LocalSearchPhaseScope<>(solverScope, 0);