}

  private static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  static int closedTableSize(int expectedEntries, double loadFactor) {
    // Get the recommended table size.
    // Round down to the nearest power of 2.
    expectedEntries = Math.max(expectedEntries, 2);
    int tableSize = Integer.highestOneBit(expectedEntries);
    // Check to make sure that we will not exceed the maximum load factor.

  }

  private static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  static int closedTableSize(int expectedEntries, double loadFactor) {
    // Get the recommended table size.
    // Round down to the nearest power of 2.
    expectedEntries = Math.max(expectedEntries, 2);
    int tableSize = Integer.highestOneBit(expectedEntries);
    // Check to make sure that we will not exceed the maximum load factor.

   */
  @VisibleForTesting
  static int chooseTableSize(int setSize) {
    if (setSize == 1) {
      return 2;
    }
    // Correct the size for open addressing to match desired load factor.
    // Round up to the next highest power of 2.
    int tableSize = Integer.highestOneBit(setSize - 1) << 1;
    while (tableSize * DESIRED_LOAD_FACTOR < setSize) {
      tableSize <<= 1;
    }
    return tableSize;
  }

func (m *muxClient) handleOneWayStream(respHandler chan<- Response, respServer <-chan Response) {
	if debugPrint {
		start := time.Now()
		defer func() {
			fmt.Println("Mux", m.MuxID, "Request took", time.Since(start).Round(time.Millisecond))
		}()
	}
	defer func() {
		// addErrorNonBlockingClose will close the response channel
		// - maybe async, so we shouldn't do it here.
		if m.respErr.Load() == nil {

	// All times are rounded to avoid showing milli, micro and nano seconds
	formatStartTime := time.Now().Round(time.Second)
	getElapsedTime := func() string {
		return time.Now().Round(time.Second).Sub(formatStartTime).String()
	}

	var (
		tries   int
		verbose bool
	)

NOTE: `mybucket` only exists on one cluster either `cluster1` or `cluster2` this is random and
is decided by how `domain.com` gets resolved, if there is a round-robin DNS on `domain.com` then
it is randomized which cluster might provision the bucket.

### 3. Test your setup

      },
      "pluginVersion": "10.1.5",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "round(sum(irate(istio_requests_total{reporter=~\"$qrep\",destination_service=~\"$service\"}[5m])), 0.001)",
          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }

   */
  @VisibleForTesting
  static int chooseTableSize(int setSize) {
    if (setSize == 1) {
      return 2;
    }
    // Correct the size for open addressing to match desired load factor.
    // Round up to the next highest power of 2.
    int tableSize = Integer.highestOneBit(setSize - 1) << 1;
    while (tableSize * DESIRED_LOAD_FACTOR < setSize) {
      tableSize <<= 1;
    }
    return tableSize;
  }

    var bitCount = 0L

    for (i in 0 until bytes.size) {
      val byteIn = bytes[i] and 0xff
      bitCount += CODE_BIT_COUNTS[byteIn].toLong()
    }

    return ((bitCount + 7) shr 3).toInt() // Round up to an even byte.
  }

  fun decode(
    source: BufferedSource,
    byteCount: Long,
    sink: BufferedSink,
  ) {
    var node = root
    var accumulator = 0
    var accumulatorBitCount = 0

 * converter.reverse().convert(converter.convert(a)).equals(a)} is always true). However, it is very
 * common (perhaps <i>more</i> common) for round-trip conversion to be <i>lossy</i>. Consider an
 * example round-trip using {@link com.google.common.primitives.Doubles#stringConverter}:
 *
 * <ol>
 *   <li>{@code stringConverter().convert("1.00")} returns the {@code Double} value {@code 1.0}