"interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Received Objects",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

     * @param dataMap the data map containing extracted field values
     */
    protected void normalizeData(final ResponseData responseData, final Map<String, Object> dataMap) {
        final Object titleObj = dataMap.get(fessConfig.getIndexFieldTitle());
        if (titleObj != null) {
            dataMap.put(fessConfig.getIndexFieldTitle(),

* <a href="https://github.com/OAI/OpenAPI-Specification/blob/master/versions/3.1.0.md#responseObject" class="external-link" target="_blank">OpenAPI Response Object</a>, Sie können alles davon direkt in jede Response innerhalb Ihres `responses`-Parameter einfügen. Einschließlich `description`, `headers`, `content`...

        }
    }

    /**
     * Retrieves and returns the specified object from the given initial context.
     *
     * @param ctx
     *            The initial context. Must not be {@literal null}.
     * @param jndiName
     *            The name of the object to look up. Must not be {@literal null} or an empty string.
     * @return The object bound to <code>jndiName</code>.
     * @throws NamingRuntimeException

    }

    @Override
    public void acceptAllColumnMap(Entity entity, Map<String, ? extends Object> allColumnMap) {
    }

    @Override
    public Map<String, Object> extractPrimaryKeyMap(Entity entity) {
        return null;
    }

    @Override
    public Map<String, Object> extractAllColumnMap(Entity entity) {
        return null;

struct TF_ShapeAndTypeList {
  int num_items;
  TF_ShapeAndType* items;
};
typedef struct TF_ShapeAndTypeList TF_ShapeAndTypeList;

// API for manipulating TF_ShapeAndTypeList objects.
//
TF_CAPI_EXPORT extern TF_ShapeAndTypeList* TF_NewShapeAndTypeList(
    int num_shapes);
TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetShape(
    TF_ShapeAndTypeList* shape_list, int index, const int64_t* dims,

```

</div>

## Usando `Jinja2Templates`

* Importa `Jinja2Templates`.
* Crea un objeto `templates` que puedas reutilizar más tarde.
* Declara un parámetro `Request` en la *path operation* que devolverá una plantilla.
* Usa los `templates` que creaste para renderizar y devolver un `TemplateResponse`, pasa el nombre de la plantilla, el objeto de request, y un diccionario "context" con pares clave-valor que se usarán dentro de la plantilla Jinja2.

    //                                                                              ======
    @Override
    public Map<String, Object> toSource() {
        Map<String, Object> sourceMap = new HashMap<>();
        if (createdAt != null) {
            addFieldToSource(sourceMap, "createdAt", createdAt);
        }
        if (docId != null) {

@SuppressWarnings("JUnit4ClassUsedInJUnit3")
@NullMarked
public abstract class AbstractBiMapTester<K extends @Nullable Object, V extends @Nullable Object>
    extends AbstractMapTester<K, V> {

  @Override
  protected BiMap<K, V> getMap() {
    return (BiMap<K, V>) super.getMap();
  }

  static <K extends @Nullable Object, V extends @Nullable Object> Entry<V, K> reverseEntry(
      Entry<K, V> entry) {
    return mapEntry(entry.getValue(), entry.getKey());

    val name: String = this::class.simpleName!!

    object None : ParallelizationMethod()

    object TestDistribution : ParallelizationMethod() {
        override val extraBuildParameters: String =
            "-DenableTestDistribution=%enableTestDistribution% " +
                "-DtestDistributionPartitionSizeInSeconds=%testDistributionPartitionSizeInSeconds%"
    }

    object TestDistributionAlpine : ParallelizationMethod() {