// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when
	// there are lots of buckets with different order of objects in them.
	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	permutes := r.Perm(len(buckets))
	// Add new buckets first

                ( ( inBytes[inOff + i * 4 + 1] & 0xff ) << 16 ) |
                ( ( inBytes[inOff + i * 4 + 2] & 0xff ) <<  8 ) |
                 ( inBytes[inOff + i * 4 + 3] & 0xff );
    }

    /// Spread ints into bytes.
    public static void spreadIntsToBytes( int[] inInts, int inOff, byte[] outBytes,
                                         int outOff, int intLen ) {

        for ( int i = 0; i < intLen; ++i ) {

 *       the expected <i>twofold</i> increase to all collision rates. Informally, the "information"
 *       in the hash code should be as evenly "spread out" through the hash code's bits as possible.
 *       The result is that, for example, when choosing a bucket in a hash table of size 2^8,
 *       <i>any</i> eight bits could be consistently used.

 *       the expected <i>twofold</i> increase to all collision rates. Informally, the "information"
 *       in the hash code should be as evenly "spread out" through the hash code's bits as possible.
 *       The result is that, for example, when choosing a bucket in a hash table of size 2^8,
 *       <i>any</i> eight bits could be consistently used.

	// Figure out largest value of total_drives_in_erasure_set which results
	// in least number of total_drives/total_drives_erasure_set ratio.
	prevD := divisibleSize / setCounts[0]
	for _, cnt := range setCounts {
		if divisibleSize%cnt == 0 {
			d := divisibleSize / cnt
			if d <= prevD {
				prevD = d
				setSize = cnt
			}
		}
	}
	return setSize
}

// possibleSetCountsWithSymmetry returns symmetrical setCounts based on the

   *
   * <p>The returned {@code RateLimiter} ensures that on average no more than {@code
   * permitsPerSecond} are issued during any given second, with sustained requests being smoothly
   * spread over each second. When the incoming request rate exceeds {@code permitsPerSecond} the
   * rate limiter will release one permit every {@code (1.0 / permitsPerSecond)} seconds. When the

   *
   * <p>The returned {@code RateLimiter} ensures that on average no more than {@code
   * permitsPerSecond} are issued during any given second, with sustained requests being smoothly
   * spread over each second. When the incoming request rate exceeds {@code permitsPerSecond} the
   * rate limiter will release one permit every {@code (1.0 / permitsPerSecond)} seconds. When the

rollback.
  * <strong>Automated cluster management: </strong>
     * Kubernetes clusters can now span zones within a cloud provider. Pods from a
service will be automatically spread across zones, enabling applications to
tolerate zone failure.
     * Simplified way to run a container on every node (DaemonSet API (Beta) in the
Extensions API group): Kubernetes can schedule a service (such as a logging

}

var errUnreadByte = errors.New("bytes.Buffer: UnreadByte: previous operation was not a successful read")

// UnreadByte unreads the last byte returned by the most recent successful
// read operation that read at least one byte. If a write has happened since
// the last read, if the last read returned an error, or if the read read zero
// bytes, UnreadByte returns an error.
func (b *Buffer) UnreadByte() error {

  }

  /** Receive frames until there are no more. Invoked only by the reader thread. */
  @Throws(IOException::class)
  fun loopReader(response: Response) {
    try {
      listener.onOpen(this@RealWebSocket, response)
      while (receivedCloseCode == -1) {
        // This method call results in one or more onRead* methods being called on this thread.
        reader!!.processNextFrame()
      }
    } catch (e: Exception) {