buffer.put((byte) 0x00); // Padding
        buffer.putShort((short) 8); // AclSize
        buffer.putShort((short) 0); // AceCount
        buffer.putShort((short) 0); // Padding

        return buffer.array();
    }

    /**
     * Helper method to set error code using reflection
     */
    private void setErrorCode(NtTransQuerySecurityDescResponse response, int errorCode) throws Exception {

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:

import static com.google.common.collect.testing.Helpers.getMethod;
import static com.google.common.collect.testing.features.FeatureUtil.addImpliedFeatures;
import static java.util.Arrays.asList;
import static java.util.Collections.disjoint;
import static java.util.Collections.unmodifiableSet;
import static java.util.logging.Level.FINER;

import com.google.common.annotations.GwtIncompatible;

     * The paths are not quoted.
     *
     * @param paths the path to format as a tool option
     * @return the option associated to this path type followed by the given path elements,
     *         or an empty array if there is no path element
     * @throws IllegalStateException if no option is associated to this path type
     */
    @Nonnull
    @Override
    public String[] option(Iterable<? extends Path> paths) {

     *            a filename filter to exclude filenames from the results
     * @return <code>String[]</code> array of matching files and directories,
     *         workgroups, servers, or shares depending on the context of the
     *         resource URL
     * @throws SmbException
     *             # @return An array of filenames
     */
    public String[] list(final SmbFilenameFilter filter) throws SmbException {

import static com.google.common.collect.testing.features.CollectionSize.ZERO;
import static com.google.common.collect.testing.google.ReflectionFreeAssertThrows.assertThrows;
import static java.util.Arrays.asList;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.collect.Multiset;

        Map<String, Object> document = new HashMap<>();
        document.put("string_field", "value1");
        document.put("string_array_field", new String[] { "value2", "value3" });
        document.put("list_field", java.util.Arrays.asList("value4", "value5"));
        document.put("int_field", 123);

        String[] stringValues = defaultContentsParser.getFieldValues(document, "string_field");
        assertEquals(1, stringValues.length);

    /**
     * Retrieves the MAC address of the remote network interface. Samba returns all zeros.
     *
     * @param tc
     *            context to use
     *
     * @return the MAC address as an array of six bytes
     * @throws UnknownHostException
     *             if the host cannot be resolved to
     *             determine the MAC address.
     */

        @Test
        @DisplayName("Should not modify buffer beyond encoded area")
        void testEncodeDoesNotModifyBeyondArea() {
            // Given
            byte testByte = (byte) 0xFF;
            java.util.Arrays.fill(buffer, testByte);
            SrvCopychunk chunk = new SrvCopychunk(1024, 2048, 4096);

            // When
            chunk.encode(buffer, startIndex);

            // Then