* class-unloading when ThreadLocals are not removed.
   */
  static final ThreadLocal<int @Nullable []> threadHashCode = new ThreadLocal<>();

  /** Generator of new random hash codes */
  static final Random rng = new Random();

  /** Number of CPUS, to place bound on table size */
  static final int NCPU = Runtime.getRuntime().availableProcessors();

  /** Table of cells. When non-null, size is a power of 2. */

type DRWMutex struct {
	Names                []string
	writeLocks           []string // Array of nodes that granted a write lock
	readLocks            []string // Array of array of nodes that granted reader locks
	rng                  *rand.Rand
	m                    sync.Mutex // Mutex to prevent multiple simultaneous locks from this node
	clnt                 *Dsync
	cancelRefresh        context.CancelFunc

				xl.AddVersion(fi)
			}
			// Encode all. This is used for benchmarking.
			enc, err := xl.AppendTo(nil)
			if err != nil {
				b.Fatal(err)
			}
			b.Logf("Serialized size: %d bytes", len(enc))
			rng := rand.New(rand.NewSource(0))
			dump := make([]byte, len(enc))
			b.Run("UpdateObjectVersion", func(b *testing.B) {
				b.SetBytes(int64(size))
				b.ResetTimer()
				b.ReportAllocs()
				for b.Loop() {

		t.Run(test.name, func(t *testing.T) {
			// Run multiple times, shuffling the input order.
			for i := range int64(50) {
				t.Run(fmt.Sprint(i), func(t *testing.T) {
					rng := rand.New(rand.NewSource(i))
					rng.Shuffle(len(test.input), func(i, j int) {
						test.input[i], test.input[j] = test.input[j], test.input[i]
					})
					got := mergeXLV2Versions(test.quorum, true, 0, test.input...)

			wantOk:       true,
		},
	}

	for testID, tt := range tests {
		rng := rand.New(rand.NewSource(0))
		// Run for a number of times, shuffling the input to ensure that output is consistent.
		for i := range 10 {
			t.Run(fmt.Sprintf("test-%d-%s-run-%d", testID, tt.name, i), func(t *testing.T) {
				if i > 0 {
					rng.Shuffle(len(tt.m), func(i, j int) {
						tt.m[i], tt.m[j] = tt.m[j], tt.m[i]
					})
				}

		b.ResetTimer()
		b.ReportAllocs()
		for b.Loop() {
			concat(data...)
		}
	})
}

func BenchmarkConcatImplementation(b *testing.B) {
	data := make([]string, 2)
	rng := rand.New(rand.NewSource(0))
	for i := range 2 {
		var tmp [16]byte
		rng.Read(tmp[:])
		data[i] = hex.EncodeToString(tmp[:])
	}
	b.ResetTimer()
	benchmark(b, data)
}

func BenchmarkPathJoinOld(b *testing.B) {

		if skipIfSuccessBefore <= 0 {
			skipIfSuccessBefore = globalDriveConfig.GetMaxTimeout()
		}
	}

	t := time.NewTicker(checkEvery)
	defer t.Stop()
	fn := mustGetUUID()

	rng := rand.New(rand.NewSource(time.Now().UnixNano()))

	monitor := func() bool {
		if contextCanceled(ctx) {
			return false
		}

		if p.health.status.Load() != diskHealthOK {
			return true
		}

	if err != nil {
		return err
	}
	return wsutil.WriteMessage(conn, c.side, ws.OpBinary, dst)
}

func (c *Connection) connect() {
	c.updateState(StateConnecting)
	rng := rand.New(rand.NewSource(time.Now().UnixNano()))
	// Runs until the server is shut down.
	for {
		if c.State() == StateShutdown {
			return
		}
		dialStarted := time.Now()
		if debugPrint {

        passing a `dtype` argument to the layer.
    *   `tf.random.Generator` for keras initializers and all RNG code.
    *   Added 3 new APIs for enable/disable/check the usage of
        `tf.random.Generator` in keras backend, which will be the new backend
        for all the RNG in Keras. We plan to switch on the new code path by
        default in tf 2.8, and the behavior change will likely to cause some

strength of 256 bits, a seed size of 384 bits, // a counter length of 128 bits, a reseed interval of 2^48 requests, and a // maximum request size of 2^19 bits (2^16 bytes, 64 KiB). // // We support a narrow range of parameters that fit the needs of our RNG: // AES-256, no derivation function, no personalization string, no prediction // resistance, and 384-bit additional input. type Counter struct { // c is instantiated with K as the key and V as the counter. c aes.CTR reseedCounter uint64 } const ( keySize...