Deshalb, um ID-Kollisionen zu vermeiden, könnten Sie beim Erstellen des JWT-Tokens für den Benutzer, dem Wert des `sub`-Schlüssels ein Präfix, z. B. `username:` voranstellen. In diesem Beispiel hätte der Wert von `sub` also auch `username:johndoe` sein können.

 *       APIs are offered that don't).
 *   <li>Can't be passed directly to methods that expect {@code long[]} (though the most common
 *       utilities do have replacements here).
 *   <li>Dependency on {@code com.google.common} / Guava.
 * </ul>
 *
 * <p>Advantages compared to {@link com.google.common.collect.ImmutableList ImmutableList}{@code
 * <Long>}:
 *
 * <ul>

    suite.addTest(
        MapTestSuiteBuilder.using(
                new TestClassToInstanceMapGenerator() {
                  // Other tests will verify what real, warning-free usage looks like
                  // but here we have to do some serious fudging
                  @Override
                  @SuppressWarnings({"unchecked", "rawtypes"})
                  public Map<Class, Impl> create(Object... elements) {

_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
_current_module = _sys.modules[__name__]

   * initialization; we can't put this in the constructor because, in the case where futures are
   * already complete, we would not initialize the subclass before calling {@link
   * #collectValueFromNonCancelledFuture}. As this is called after the subclass is constructed,
   * we're guaranteed to have properly initialized the subclass.
   */
  final void init() {
    /*

Now let's jump to the fun stuff. 🎉

## Add `Query` to `Annotated` in the `q` parameter { #add-query-to-annotated-in-the-q-parameter }

Now that we have this `Annotated` where we can put more information (in this case some additional validation), add `Query` inside of `Annotated`, and set the parameter `max_length` to `50`:

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[9] *}

## Number validations: greater than or equal { #number-validations-greater-than-or-equal }

With `Query` and `Path` (and others you'll see later) you can declare number constraints.

Here, with `ge=1`, `item_id` will need to be an integer number "`g`reater than or `e`qual" to `1`.

{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py39.py hl[10] *}

  Otherwise your code may be broken by the change.

  """)

# Make sure directory containing top level submodules is in
# the __path__ so that "from tensorflow.foo import bar" works.
# We're using bitwise, but there's nothing special about that.
_API_MODULE = _sys.modules[__name__].bitwise  # pylint: disable=undefined-variable
_current_module = _sys.modules[__name__]

constraints.Future.message = {item} muss ein zukünftiger Wert sein.
constraints.Max.message = {item} muss kleiner oder gleich {value} sein.
constraints.Min.message = {item} muss größer oder gleich {value} sein.
constraints.NotNull.message = {item} ist erforderlich.
constraints.Null.message = {item} muss null sein.
constraints.Past.message = {item} muss ein vergangener Wert sein.

Insbesondere wenn die Anwendung auf **Kubernetes** läuft, werden Sie Gunicorn wahrscheinlich **nicht** verwenden wollen und stattdessen **einen einzelnen Uvicorn-Prozess pro Container** ausführen wollen, aber ich werde Ihnen später in diesem Kapitel mehr darüber erzählen.

///

## Gunicorn mit Uvicorn-Workern