assertTrue((type1.getFlags() & NtlmFlags.NTLMSSP_NEGOTIATE_OEM_WORKSTATION_SUPPLIED) != 0);
    }

    @Test
    @DisplayName("Should parse Type 1 message from byte array")
    void testType1MessageFromBytes() throws IOException {
        // Given - Create a Type 1 message and convert to bytes
        Type1Message original = new Type1Message(mockContext);

Zum Beispiel deklariert das obige Modell ein JSON „`object`“ (oder Python-<abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr>) wie dieses:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

Observe como `Offer` tem uma lista de `Item`s, que por sua vez têm uma lista opcional de `Image`s

///

## Corpos de listas puras { #bodies-of-pure-lists }

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:

```Python
images: list[Image]
```

como em:

      return false;
    }
  }

  private static <X extends Exception> X newWithCause(Class<X> exceptionClass, Throwable cause) {
    // getConstructors() guarantees this as long as we don't modify the array.
    @SuppressWarnings({"unchecked", "rawtypes"})
    List<Constructor<X>> constructors = (List) Arrays.asList(exceptionClass.getConstructors());

	defer removeRoots(disks)

	// uses *testing.B and the object Layer to run the benchmark.
	runPutObjectBenchmarkParallel(b, objLayer, objSize)
}

// randomly picks a character and returns its equivalent byte array.
func getRandomByte() []byte {
	const letterBytes = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
	// seeding the random number generator.
	rand.Seed(UTCNow().UnixNano())
	// pick a character randomly.

- `aws:groups` - This is an array containing the group names, this value would point to group mappings for the user, use `jwt:groups` in case of OpenID connect and `ldap:groups` in case of AD/LDAP.

## Explore Further

        File file = cos.getFile();
        assertTrue(file.exists());
        cos.close();
    }

    @Test
    public void testEmptyWrite() throws IOException {
        // Writing empty array should work
        ContentOutputStream cos = new ContentOutputStream(10, Curl.tmpDir);
        cos.write(new byte[] {});
        assertTrue(cos.isInMemory());
        assertFalse(cos.done);
        cos.close();

      init(arrayOf<KeyManager>(keyManager), arrayOf<TrustManager>(trustManager), SecureRandom())
    }

  class Builder {
    private var heldCertificate: HeldCertificate? = null
    private var intermediates: Array<X509Certificate>? = null
    private val trustedCertificates = mutableListOf<X509Certificate>()
    private val insecureHosts = mutableListOf<String>()

    /**

    }
}
```

### Benutzerdefiniertes OpenAPI-*Pfadoperation*-Schema { #custom-openapi-path-operation-schema }

Das <abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">Dictionary</abbr> in `openapi_extra` wird mit dem automatisch generierten OpenAPI-Schema für die *Pfadoperation* zusammengeführt (mittels Deep Merge).

Observa cómo `Offer` tiene una lista de `Item`s, que a su vez tienen una lista opcional de `Image`s

///

## Cuerpos de listas puras { #bodies-of-pure-lists }

Si el valor superior del cuerpo JSON que esperas es un `array` JSON (una `list` en Python), puedes declarar el tipo en el parámetro de la función, al igual que en los modelos Pydantic:

```Python
images: list[Image]
```

como en: