distributionAlgo: formatErasureVersionV3DistributionAlgoV3,
		}
	)

	// Maximum number of reusable buffers per node at any given point in time.
	n := uint64(1024) // single node single/multiple drives set this to 1024 entries

	if globalIsDistErasure {
		n = 2048
	}

	// Avoid allocating more than half of the available memory
	if maxN := availableMemory() / (blockSizeV2 * 2); n > maxN {

   * simply use the standard method-chaining idiom, as illustrated in the documentation at top,
   * configuring a {@code CacheBuilder} and building your {@link Cache} all in a single statement.
   *
   * <p><b>Warning:</b> if you ignore the above advice, and use this {@code CacheBuilder} to build a
   * cache whose key or value type is incompatible with the weigher, you will likely experience a

    ) {
      assertLockNotHeld()

      sendBuffer.write(source, byteCount)
      while (sendBuffer.size >= EMIT_BUFFER_SIZE) {
        emitFrame(false)
      }
    }

    /**
     * Emit a single data frame to the connection. The frame's size be limited by this stream's
     * write window. This method will block until the write window is nonempty.
     */
    @Throws(IOException::class)

   *       {@code MapJoiner} method that accepts entries as input, and receive output of the form
   *       {@code key1=A&key1=B&key2=C}.
   *   <li>To output a single entry for each key, pass {@code multimap.asMap()} to a {@code
   *       MapJoiner} method that accepts a map as input, and receive output of the form {@code
   *       key1=[A, B]&key2=C}.
   * </ul>
   *

* If you translate pages, add a single pull request per page translated. That will make it much easier for others to review it.

  @SuppressWarnings("unchecked")
  public static <K, V> ImmutableBiMap<K, V> of() {
    return (ImmutableBiMap<K, V>) RegularImmutableBiMap.EMPTY;
  }

  /** Returns an immutable bimap containing a single entry. */
  public static <K, V> ImmutableBiMap<K, V> of(K k1, V v1) {
    checkEntryNotNull(k1, v1);
    return new RegularImmutableBiMap<>(new Object[] {k1, v1}, 1);
  }

  /**

}

// ResourceMetrics is a map of unique key identifying
// a resource metric (e.g. reads_per_sec_{node}_{drive})
// to its data
type ResourceMetrics map[string]ResourceMetric

// ResourceMetric represents a single resource metric
// The metrics are collected from all servers periodically
// and stored in the resource metrics map.
// It also maintains the count of number of times this metric

  * Kubernetes now shares a single PID namespace among all containers in a pod when running with docker >= 1.13.1. This means processes can now signal processes in other containers in a pod, but it also means that the `kubectl exec {pod} kill 1` pattern will cause the Pod to be restarted rather than a single container. ([#45236](https://github.com/kubernetes/kubernetes/pull/45236), [@verb](https://github.com/verb))

  public static <E> ImmutableSortedSet<E> of() {
    return (ImmutableSortedSet<E>) RegularImmutableSortedSet.NATURAL_EMPTY_SET;
  }

  /** Returns an immutable sorted set containing a single element. */
  public static <E extends Comparable<? super E>> ImmutableSortedSet<E> of(E e1) {
    return new RegularImmutableSortedSet<>(ImmutableList.of(e1), Ordering.natural());
  }

  /**

  {{.HelpName}} {{if .VisibleFlags}}[FLAGS] {{end}}DIR{1...64} DIR{65...128}

DIR:
  DIR points to a directory on a filesystem. When you want to combine
  multiple drives into a single large system, pass one directory per
  filesystem separated by space. You may also use a '...' convention
  to abbreviate the directory arguments. Remote directories in a
  distributed setup are encoded as HTTP(s) URIs.