}

  public void testCopyOf_imap_valid() {
    ImmutableMap<Class<? extends Number>, ? extends Number> in =
        ImmutableMap.of(Number.class, 0, Double.class, Math.PI);
    ClassToInstanceMap<Number> map = ImmutableClassToInstanceMap.copyOf(in);
    assertEquals(2, map.size());

    Number zero = map.getInstance(Number.class);
    assertEquals(0, zero);

    Double pi = map.getInstance(Double.class);

    assertEquals(42, queue.maximumSize);
    checkNatural(queue);
  }

  private static final ImmutableList<Integer> NUMBERS = ImmutableList.of(4, 8, 15, 16, 23, 42);

  public void testCreation_withContents() {
    MinMaxPriorityQueue<Integer> queue = MinMaxPriorityQueue.create(NUMBERS);
    assertEquals(6, queue.size());
    assertEquals(11, queue.capacity());
    checkUnbounded(queue);
    checkNatural(queue);

		"Total number of invalid requests", "type")

	apiRequestsWaitingTotalMD = NewGaugeMD(apiRequestsWaitingTotal,
		"Total number of requests in the waiting queue", "type")
	apiRequestsIncomingTotalMD = NewGaugeMD(apiRequestsIncomingTotal,
		"Total number of incoming requests", "type")

	apiRequestsInFlightTotalMD = NewGaugeMD(apiRequestsInFlightTotal,
		"Total number of requests currently in flight", "name", "type")

   *
   * <ul>
   *   <li>You want to assign the same fraction of inputs to each bucket.
   *   <li>When you reduce the number of buckets, you can accept that the most recently added
   *       buckets will be removed first. More concretely, if you are dividing traffic among tasks,
   *       you can decrease the number of tasks from 15 and 10, killing off the final 5 tasks, and

  }

  /** Returns an immutable snapshot of the current statistics. */
  public PairedStats snapshot() {
    return new PairedStats(xStats.snapshot(), yStats.snapshot(), sumOfProductsOfDeltas);
  }

  /** Returns the number of pairs in the dataset. */
  public long count() {
    return xStats.count();
  }

  /** Returns an immutable snapshot of the statistics on the {@code x} values alone. */
  public Stats xStats() {

| `minio_api_requests_rejected_auth_total`       | `counter` | Total number of requests rejected for auth failure      | `type,pool_index,server`         |
| `minio_api_requests_rejected_header_total`     | `counter` | Total number of requests rejected for invalid header    | `type,pool_index,server`         |
| `minio_api_requests_rejected_timestamp_total`  | `counter` | Total number of requests rejected for invalid timestamp | `type,pool_index,server`         |

// Spec to control the desired behavior of daemon set rolling update.
message RollingUpdateDaemonSet {
  // The maximum number of DaemonSet pods that can be unavailable during the
  // update. Value can be an absolute number (ex: 5) or a percentage of total
  // number of DaemonSet pods at the start of the update (ex: 10%). Absolute
  // number is calculated from percentage by rounding up.
  // This cannot be 0 if MaxSurge is 0
  // Default value is 1.

            type.isByte -> KtConstantValue.KtByteConstantValue((value as Number).toByte(), expression)
            type.isUByte -> KtConstantValue.KtUnsignedByteConstantValue((value as Number).toByte().toUByte(), expression)
            type.isShort -> KtConstantValue.KtShortConstantValue((value as Number).toShort(), expression)

                          number:
                            maximum: 65535
                            minimum: 1
                            type: integer
                        required:
                        - number
                        type: object
                      type: array
                      x-kubernetes-list-map-keys:
                      - number
                      x-kubernetes-list-type: map

Se você executar **múltiplos processos por contêiner** (por exemplo, com a imagem oficial do Docker), deve garantir que o número de processos iniciados não **consuma mais memória** do que o disponível.