HashMap<K, V> newHashMapWithExpectedSize(int expectedSize) {
    return new HashMap<>(capacity(expectedSize));
  }

  /**
   * Returns a capacity that is sufficient to keep the map from being resized as long as it grows no
   * larger than expectedSize and the load factor is ≥ its default (0.75).
   */
  static int capacity(int expectedSize) {
    if (expectedSize < 3) {

   *
   * <ul>
   *   <li>use {@link StringReader} instead of {@link CharSequenceReader}. It is faster since it can
   *       use {@link String#getChars(int, int, char[], int)} instead of copying characters one by
   *       one with {@link CharSequence#charAt(int)}.
   *   <li>use {@link Appendable#append(CharSequence)} in {@link #copyTo(Appendable)} and {@link

   *
   * <ul>
   *   <li>use {@link StringReader} instead of {@link CharSequenceReader}. It is faster since it can
   *       use {@link String#getChars(int, int, char[], int)} instead of copying characters one by
   *       one with {@link CharSequence#charAt(int)}.
   *   <li>use {@link Appendable#append(CharSequence)} in {@link #copyTo(Appendable)} and {@link

        final SystemHelper systemHelper = ComponentUtil.getSystemHelper();

        final StringBuilder resultBuf = new StringBuilder();

        final PingResponse ping = searchEngineClient.ping();
        final int status = ping.getStatus();
        if (systemHelper.isChangedClusterState(status)) {
            if (fessConfig.hasNotification()) {
                final String toStrs = fessConfig.getNotificationTo();

          super.close()
        } finally {
          closedLatch.countDown()
        }
      }
    }.buffer()

  val localAddress: InetAddress
    get() = javaNetSocket.localAddress

  val localPort: Int
    get() = javaNetSocket.localPort

  val scheme: String
    get() =
      when (javaNetSocket) {
        is SSLSocket -> "https"
        else -> "http"
      }

  val handshake: Handshake?

    private BigDecimalToDoubleRounder() {}

    @Override
    double roundToDoubleArbitrarily(BigDecimal bigDecimal) {
      return bigDecimal.doubleValue();
    }

    @Override
    int sign(BigDecimal bigDecimal) {
      return bigDecimal.signum();
    }

    @Override
    BigDecimal toX(double d, RoundingMode mode) {
      return new BigDecimal(d);
    }

    @Override

                } else {
                    cleaned.add(arg);
                }
            }
        }

        if (currentArg != null) {
            cleaned.add(currentArg.toString());
        }

        int cleanedSz = cleaned.size();

        String[] cleanArgs;

        if (cleanedSz == 0) {
            cleanArgs = args;
        } else {
            cleanArgs = cleaned.toArray(new String[0]);
        }

# Extra Data Types { #extra-data-types }

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

# Tipos de Datos Extra { #extra-data-types }

Hasta ahora, has estado usando tipos de datos comunes, como:

* `int`
* `float`
* `str`
* `bool`

Pero también puedes usar tipos de datos más complejos.

Y seguirás teniendo las mismas funcionalidades como hasta ahora:

* Gran soporte de editor.
* Conversión de datos de requests entrantes.
* Conversión de datos para datos de response.
* Validación de datos.

	// > This is used in a Lifecycle Rule Filter to apply a logical AND to two or more predicates.
	// ref: https://docs.aws.amazon.com/AmazonS3/latest/API/API_LifecycleRuleAndOperator.html
	// i.e, predCount >= 2
	var predCount int
	if a.Prefix.set {
		predCount++
	}
	predCount += len(a.Tags)
	if a.ObjectSizeGreaterThan > 0 {
		predCount++
	}
	if a.ObjectSizeLessThan > 0 {
		predCount++
	}

	if predCount < 2 {