}

  public void testOneSecondBurst() {
    RateLimiter limiter = RateLimiter.create(5.0, stopwatch);
    stopwatch.sleepMillis(1000); // max capacity reached
    stopwatch.sleepMillis(1000); // this makes no difference
    limiter.acquire(1); // R0.00, since it's the first request

    limiter.acquire(1); // R0.00, from capacity
    limiter.acquire(3); // R0.00, from capacity

  }

  public void testOneSecondBurst() {
    RateLimiter limiter = RateLimiter.create(5.0, stopwatch);
    stopwatch.sleepMillis(1000); // max capacity reached
    stopwatch.sleepMillis(1000); // this makes no difference
    limiter.acquire(1); // R0.00, since it's the first request

    limiter.acquire(1); // R0.00, from capacity
    limiter.acquire(3); // R0.00, from capacity

./mc cp --enc-s3 "sitea/" --quiet /etc/hosts sitea/bucket
sleep 1

echo "Copying data to source sitea/olockbucket"
./mc cp --quiet /etc/hosts sitea/olockbucket
sleep 1

echo "Verifying the metadata difference between source and target"
if diff -pruN <(./mc stat --no-list --json sitea/bucket/hosts | jq .) <(./mc stat --no-list --json siteb/bucket/hosts | jq .) | grep -q 'COMPLETED\|REPLICA'; then

 * <h2>Relationship with Java compiler standard location</h2>
 * This enumeration is closely related to the {@link JavaFileManager.Location} enumerations.
 * A difference is that the latter enumerates input and output files, while {@code JavaPathType}
 * enumerates only input dependencies. Another difference is that {@code JavaPathType} contains
 * some enumeration values used only at runtime and therefore not available in {@code javax.tool},
 * such as agent paths.

  }

  /**
   * This test creates a long random sequence of inputs, then a lot of differently configured sinks
   * process it; all should produce the same answer, the only difference should be the number of
   * process()/processRemaining() invocations, due to alignment.
   */
  @AndroidIncompatible // slow. TODO(cpovirk): Maybe just reduce iterations under Android.

}

/**
 * If [mapping] qualifies to be encoded as [MappedRange.InlineDelta] return new instance, otherwise null.
 * An [MappedRange.InlineDelta] must be a mapping from a single code-point to a single code-point with a difference
 * that can be represented in 2^18-1.
 */
internal fun inlineDeltaOrNull(mapping: Mapping): MappedRange.InlineDelta? {
  if (mapping.hasSingleSourceCodePoint) {
    val sourceCodePoint = mapping.sourceCodePoint0

```

In a given setup, there are `n` MinIO instances talking to `m` KES servers but only `1` central KMS. The most simple setup consists of `1` MinIO server or cluster talking to `1` KMS via `1` KES server.

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

			return
		}
		// wait a test again will deadline.
		if UTCNow().Before(deadline) {
			time.Sleep(leakDetectPauseTimeMs * time.Millisecond)
			continue
		}
		// after the deadline time report all the difference in the latest snapshot compared with the initial one.
		for _, g := range leaked {
			t.Errorf("Leaked goroutine: %v", g)
		}
		return
	}
}

            against THE LATEST VERSION WHICH IS RELEASED FROM RELEASE BRANCH (from `released-version.json` on this branch)
            AND LOWER THAN CURRENT BASE VERSION (from `version.txt` on this branch).

          .put(Ordering.class, AlwaysEqual.INSTANCE)
          .put(Range.class, Range.all())
          .put(MapDifference.class, Maps.difference(ImmutableMap.of(), ImmutableMap.of()))
          .put(
              SortedMapDifference.class,
              Maps.difference(ImmutableSortedMap.of(), ImmutableSortedMap.of()))
          // reflect
          .put(AnnotatedElement.class, Object.class)