}
}

func Test_localLocker_expireOldLocksExpire(t *testing.T) {
	rng := rand.New(rand.NewSource(0))
	// Numbers of unique locks
	for _, locks := range []int{100, 1000, 1e6} {
		if testing.Short() && locks > 100 {
			continue
		}
		t.Run(fmt.Sprintf("%d-locks", locks), func(t *testing.T) {
			// Number of readers per lock...
			for _, readers := range []int{1, 10, 100} {
				if locks > 1000 && readers > 1 {

  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is
  // divided among the concurrency-controlled priority levels in
  // proportion to their assured concurrency shares. This produces
  // the assured concurrency value (ACV) --- the number of requests

 * @param valueCount the number of values per cache entry. Must be positive.
 * @param maxSize the maximum number of bytes this cache should use to store.
 */
class DiskLruCache(
  fileSystem: FileSystem,
  /** Returns the directory where this cache stores its data. */
  val directory: Path,
  private val appVersion: Int,
  internal val valueCount: Int,

  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is
  // divided among the concurrency-controlled priority levels in
  // proportion to their assured concurrency shares. This produces
  // the assured concurrency value (ACV) --- the number of requests

  // limit, which is a limit on the number of requests of this
  // priority level that may be exeucting at a given time.  ACS must
  // be a positive number. The server's concurrency limit (SCL) is
  // divided among the concurrency-controlled priority levels in
  // proportion to their assured concurrency shares. This produces
  // the assured concurrency value (ACV) --- the number of requests

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.
Typically, enabling compression on spinning disk systems

  // Limited priority levels in proportion to their NCS values:
  //
  // NominalCL(i)  = ceil( ServerCL * NCS(i) / sum_ncs )
  // sum_ncs = sum[limited priority level k] NCS(k)
  //
  // Bigger numbers mean a larger nominal concurrency limit,
  // at the expense of every other Limited priority level.
  // This field has a default value of 30.
  // +optional
  optional int32 nominalConcurrencyShares = 1;

// Spec to control the desired behavior of daemon set rolling update.
message RollingUpdateDaemonSet {
  // The maximum number of DaemonSet pods that can be unavailable during the
  // update. Value can be an absolute number (ex: 5) or a percentage of total
  // number of DaemonSet pods at the start of the update (ex: 10%). Absolute
  // number is calculated from percentage by rounding up.
  // This cannot be 0 if MaxSurge is 0
  // Default value is 1.

	// FlagEOF the stream (either direction) is at EOF.
	FlagEOF

	// FlagStateless indicates the message is stateless.
	// This will retain clients across reconnections or
	// if sequence numbers are unexpected.
	FlagStateless

	// FlagPayloadIsErr can be used by individual ops to signify that
	// The payload is a string error converted to byte slice.
	FlagPayloadIsErr

	argVal := val
	if funcName != aggFnCount {
		// All aggregation functions, except COUNT require a
		// numeric argument.

		// Here, we diverge from Amazon S3 behavior by
		// inferring untyped values are numbers.
		if !argVal.isNumeric() {
			if i, ok := argVal.bytesToInt(); ok {
				argVal.setInt(i)
			} else if f, ok := argVal.bytesToFloat(); ok {
				argVal.setFloat(f)
			} else {