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

Dadurch wird Ihrer API keine zusätzliche Sicherheit hinzugefügt, die *Pfadoperationen* sind weiterhin dort verfügbar, wo sie sich befinden.

Wenn Ihr Code eine Sicherheitslücke aufweist, ist diese weiterhin vorhanden.

                } 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 {

     *
     * @param crudMode The current CRUD mode
     * @param expectedMode The expected CRUD mode
     * @param dictId The dictionary ID for error context
     */
    protected void verifyCrudMode(final int crudMode, final int expectedMode, final String dictId) {
        if (crudMode != expectedMode) {
            throwValidationError(messages -> {

	displayCreds bool

	// Credential expiry duration
	expiryDuration time.Duration

	// Bucket to list
	bucketToList string

	// Session policy file
	sessionPolicyFile string
)

func init() {
	flag.StringVar(&stsEndpoint, "sts-ep", "http://localhost:9000", "STS endpoint")
	flag.StringVar(&ldapUsername, "u", "", "AD/LDAP Username")
	flag.StringVar(&ldapPassword, "p", "", "AD/LDAP Password")

            SmbSession mockSession = mock(SmbSession.class);
            Configuration mockConfig = mock(Configuration.class);
            when(mockSession.getConfig()).thenReturn(mockConfig);

            for (int i = 0; i < 10; i++) {
                assertSame(mockConfig, mockSession.getConfig(), "getConfig should return same result on call " + i);
            }

            verify(mockSession, times(10)).getConfig();
        }