* higher value than you need can waste space and time, and a significantly lower value can lead
   * to thread contention. But overestimates and underestimates within an order of magnitude do not
   * usually have much noticeable impact. A value of one permits only one thread to modify the cache
   * at a time, but since read operations and cache loading computations can proceed concurrently,

import com.google.common.primitives.Doubles;

/**
 * A mutable object which accumulates paired double values (e.g. points on a plane) and tracks some
 * basic statistics over all the values added so far. This class is not thread safe.
 *
 * @author Pete Gillin
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public final class PairedStatsAccumulator {

	}

	d.decrypter = decrypter
	return nil
}

func (d *DecryptBlocksReader) Read(p []byte) (int, error) {
	var err error
	var n1 int
	decPartSize, _ := sio.DecryptedSize(uint64(d.parts[d.partIndex].Size))
	unreadPartLen := int64(decPartSize) - d.partDecRelOffset
	if int64(len(p)) < unreadPartLen {
		n1, err = d.decrypter.Read(p)
		if err != nil {
			return 0, err
		}
		d.partDecRelOffset += int64(n1)

	fn := z.decommissionCancelers[idx]
	if fn == nil {
		// canceling a decommission before it started return an error.
		return errDecommissionNotStarted
	}

	defer fn() // cancel any active thread.

	if z.poolMeta.DecommissionCancel(idx) {
		if err = z.poolMeta.save(ctx, z.serverPools); err != nil {
			return err
		}
		globalNotificationSys.ReloadPoolMeta(ctx)
	}

	return nil
}

	// 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

    //
    // TODO(user): Consider using
    // java/lang/management/OperatingSystemMXBean.html#getSystemLoadAverage()
    //
    // TODO(user): Consider scaling by number of mutator threads,
    // e.g. using Thread#activeCount()
    return max(10L, Runtime.getRuntime().totalMemory() / (32L * 1024L * 1024L));
  }

  /**
   * Waits until the given future {@linkplain Future#isDone is done}, invoking the garbage collector

   * @param executor the executor in which the listeners callback methods will be run. For fast,
   *     lightweight listeners that would be safe to execute in any thread, consider {@link
   *     MoreExecutors#directExecutor}.
   * @since 13.0
   */
  void addListener(Listener listener, Executor executor);

  /**
   * The lifecycle states of a service.
   *

    val response = call.execute()
    val inputStream = response.body.byteStream()
    assertThat(inputStream.read()).isEqualTo('A'.code)
    assertThat(inputStream.read()).isEqualTo('B'.code)
    assertThat(inputStream.read()).isEqualTo('C'.code)
    assertThat(inputStream.read()).isEqualTo(-1)
    assertThat(inputStream.read()).isEqualTo(-1)
    inputStream.close()
  }

  @ParameterizedTest

                ( ( 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 ) {

        }
    }

    static class Sem {
        Sem( int count ) {
            this.count = count;
        }
        int count;
    }

    static class QueryThread extends Thread {
    
        Sem sem;
        String host, scope;
        int type;
        NbtAddress ans = null;
        InetAddress svr;
        UnknownHostException uhe;