kevin-wu24 commented on code in PR #18987:
URL: https://github.com/apache/kafka/pull/18987#discussion_r1980422775


##########
raft/src/test/java/org/apache/kafka/raft/RaftEventSimulationTest.java:
##########
@@ -117,40 +125,101 @@ public class RaftEventSimulationTest {
     void canElectInitialLeader(
         @ForAll int seed,
         @ForAll @IntRange(min = 1, max = 5) int numVoters,
-        @ForAll @IntRange(min = 0, max = 5) int numObservers
+        @ForAll @IntRange(min = 0, max = 5) int numObservers,
+        @ForAll boolean withKip853
     ) {
         Random random = new Random(seed);
-        Cluster cluster = new Cluster(numVoters, numObservers, random);
+        Cluster cluster = new Cluster(numVoters, numObservers, random, 
withKip853);
         MessageRouter router = new MessageRouter(cluster);
         EventScheduler scheduler = schedulerWithDefaultInvariants(cluster);
 
-        cluster.startAll();
-        schedulePolling(scheduler, cluster, 3, 5);
-        scheduler.schedule(router::deliverAll, 0, 2, 1);
-        scheduler.schedule(new SequentialAppendAction(cluster), 0, 2, 3);
-        scheduler.runUntil(cluster::hasConsistentLeader);
-        scheduler.runUntil(() -> cluster.allReachedHighWatermark(10));
+        initializeClusterAndStartAppending(cluster, router, scheduler, 2);
+    }
+
+    @Property(tries = 100, afterFailure = AfterFailureMode.SAMPLE_ONLY)
+    void canElectInitialLeaderAndAddVoter(
+        @ForAll int seed,
+        @ForAll @IntRange(min = 1, max = 5) int numVoters,
+        @ForAll @IntRange(min = 1, max = 5) int numObservers
+    ) {
+        Random random = new Random(seed);
+        Cluster cluster = new Cluster(numVoters, numObservers, random, true);
+        MessageRouter router = new MessageRouter(cluster);
+        EventScheduler scheduler = schedulerWithKip853Invariants(cluster);
+
+        initializeClusterAndStartAppending(cluster, router, scheduler, 10);
+        int firstObserverId = numVoters;
+        scheduler.schedule(new AddVoterAction(cluster, 
cluster.running.get(firstObserverId)), 0, 5, 3);
+        scheduler.runUntil(() -> 
cluster.leaderWithMaxEpoch().get().client.partitionState().lastVoterSet().size()
 == numVoters + 1);
+        VoterSet latestVoterSet = 
cluster.leaderWithMaxEpoch().get().client.partitionState().lastVoterSet();
+        scheduler.runUntil(() -> 
cluster.allHaveLatestVoterSet(latestVoterSet));
+    }
+
+    @Property(tries = 100, afterFailure = AfterFailureMode.SAMPLE_ONLY)
+    void canAddAndRemoveVoters(

Review Comment:
   Ah this must've changed since my last push. Let me add a test for 
specifically removing the leader.



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