Fix lap limits and five-minute stint statistics

tests/public_training_profile.test.js

@@ -167,6 +167,35 @@ test("public timer query normalization bounds age and window values", () => {
   assert.equal(normalizePublicTrainingWindow(String(25 * 60 * 60 * 1000)), 24 * 60 * 60 * 1000);
 });
 
+test("public profile counts a max-boundary lap but excludes it from pace", () => {
+  const now = Date.now();
+  const state = buildState(now);
+  state.training.ledger = [
+    { driverId: "driver_1", sourceId: "tp_1", sessionId: "practice", timestamp: now - 127_000, lapMs: 37_000 },
+    { driverId: "driver_1", sourceId: "tp_1", sessionId: "practice", timestamp: now - 90_000, lapMs: 37_000 },
+    { driverId: "driver_1", sourceId: "tp_1", sessionId: "practice", timestamp: now, lapMs: 90_000, excludedFromPace: true, stintBoundary: true },
+  ];
+
+  const profile = buildPublicTrainingProfile(state, DRIVER_ONE_TOKEN, "");
+  assert.equal(profile.stats.totalLaps, 3);
+  assert.equal(profile.stats.bestLapMs, 37_000);
+  assert.equal(profile.stats.averageLapMs, 37_000);
+  assert.equal(profile.stats.stintCount, 2);
+});
+
+test("public five-minute result never combines simultaneous transponder sources", () => {
+  const laps = ["tp_a", "tp_b"].flatMap((sourceId) => Array.from({ length: 9 }, (_, index) => ({
+    sourceId,
+    sessionId: "practice_1",
+    timestamp: (index + 1) * 37_000,
+    lapMs: 37_000,
+  })));
+  const result = getPublicBestDurationResult(splitPublicTrainingStints(laps), 300_000);
+
+  assert.equal(result.lapCount, 9);
+  assert.equal(result.totalMs, 333_000);
+});
+
 test("public profile duration result includes the lap started before five minutes", () => {
   const laps = Array.from({ length: 16 }, (_, index) => ({
     sessionId: "practice_1",