}
        dictionaryManager.addCreator(this);
    }

    /**
     * Creates a new {@link StemmerOverrideFile} instance.
     *
     * @param id        The unique identifier for the dictionary file.
     * @param path      The file path of the dictionary.
     * @param timestamp The last modified timestamp of the file.
     * @return A new {@link StemmerOverrideFile} associated with the dictionary manager.
     */
    @Override

    }

    /**
     * Check if state has read caching
     * @param state lease state
     * @return true if read caching is enabled
     */
    public static boolean hasReadCaching(int state) {
        return (state & SMB2_LEASE_READ_CACHING) != 0;
    }

    /**
     * Check if state has handle caching
     * @param state lease state
     * @return true if handle caching is enabled
     */

/**
 * Interface for both netbios and internet addresses
 *
 * @author mbechler
 *
 */
public interface Address {

    /**
     * Unwrap the address to a specific type
     *
     * @param <T> the type to unwrap to
     * @param type the target type to unwrap to
     * @return instance for type, null if the type cannot be unwrapped
     */
    <T extends Address> T unwrap(Class<T> type);

    /**

from tests.utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.additional_responses.{request.param}")

    client = TestClient(mod.app)
    client.headers.clear()
    return client

              </models>
              <templates>
                <template>model.vm</template>
              </templates>
              <params>
                <param>packageModelV4=org.apache.maven.api.plugin.descriptor</param>
              </params>
            </configuration>
          </execution>
          <execution>
            <id>modello-lifecycle</id>
            <goals>

Esto es útil si no conoces los nombres de los campos/atributos válidos (que serían necesarios para un modelo Pydantic) de antemano.

En este caso, puedes usar `typing.Dict` (o solo `dict` en Python 3.9 y posteriores):

{* ../../docs_src/extra_models/tutorial005_py39.py hl[6] *}


## Recapitulación { #recap }

Usa múltiples modelos Pydantic y hereda libremente para cada caso.

     * Optimized for better performance with larger read sizes and reduced round trips.
     *
     * @param b the buffer to read into
     * @param off the offset in the buffer to start writing
     * @param len the maximum number of bytes to read
     * @return number of bytes read
     *
     * @throws IOException
     *             if a network error occurs
     */

    private final String bucket;

    /**
     * Creates a new GcsStorageClient instance.
     *
     * @param projectId the GCS project ID
     * @param bucket the bucket name
     * @param endpoint the custom endpoint URL (optional, for fake-gcs-server etc.)
     * @param credentialsPath the path to the credentials JSON file (optional)
     */

            <template>writer-stax.vm</template>
          </templates>
          <params>
            <param>packageModelV4=org.apache.maven.api.cli.extensions</param>
            <param>packageToolV4=org.apache.maven.cling.internal.extension.io</param>
            <param>locationTracking=true</param>
          </params>
          <velocityBasedir>${project.basedir}/../../src/mdo</velocityBasedir>
        </configuration>

        private DataStore dataStore;

        /**
         * Constructs a new data crawling thread.
         *
         * @param dataConfig configuration for the data store to crawl
         * @param indexUpdateCallback callback for handling document indexing
         * @param initParamMap initialization parameters for the data store
         */