Maintenant, imaginez que vous êtes en train de créer cette fonction, mais avec des annotations de type cette fois.

Au même moment que durant l'exemple précédent, vous essayez de déclencher l'auto-complétion et vous voyez :

<img src="/img/python-types/image02.png">

  EXPECT_EQ(TF_GetCode(status.get()), TF_INVALID_ARGUMENT);
  EXPECT_THAT(TF_Message(status.get()), HasSubstr("assertion failed"));

  // Note that future collectives with the same context do not work at the
  // moment; once canceled, the collective executor requires the program to be
  // restarted / context to be reset.
}

TEST(PARALLEL_DEVICE_LIB, TestDifferentShapes) {

    TF_SetStatusFromIOError(status, errno, posix_file->filename);
}

static void Sync(const TF_WritableFile* file, TF_Status* status) {
  // For historical reasons, this does the same as `Flush` at the moment.
  // TODO(b/144055243): This should use `fsync`/`sync`.
  Flush(file, status);
}

static void Close(const TF_WritableFile* file, TF_Status* status) {
  auto posix_file = static_cast<PosixFile*>(file->plugin_file);

// explicitly by running a TPUReplicatedOutput operation on the parallel device.
//
// TODO(allenl): There are some use-cases that are only supported by copying to
// host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either
// need to return something here or address these use-cases one by one.
TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context,

    ```Python hl_lines="5  11-12"
    {!> ../../../docs_src/settings/app02/main.py!}
    ```

!!! tip "Tipp"
    Wir werden das `@lru_cache` in Kürze besprechen.

    Im Moment nehmen Sie an, dass `get_settings()` eine normale Funktion ist.

Und dann können wir das von der *Pfadoperation-Funktion* als Abhängigkeit einfordern und es überall dort verwenden, wo wir es brauchen.

=== "Python 3.9+"

Wichtig ist, dass **der erste *Typ-Parameter***, den Sie `Annotated` übergeben, der **tatsächliche Typ** ist. Der Rest sind Metadaten für andere Tools.

Im Moment müssen Sie nur wissen, dass `Annotated` existiert, und dass es Standard-Python ist. 😎

Später werden Sie sehen, wie **mächtig** es sein kann.

!!! tip "Tipp"

 * Condition.signal}).
 *
 * <p>A thread is said to <i>occupy</i> a monitor if it has <i>entered</i> the monitor but not yet
 * <i>left</i>. Only one thread may occupy a given monitor at any moment. A monitor is also
 * reentrant, so a thread may enter a monitor any number of times, and then must leave the same
 * number of times. The <i>enter</i> and <i>leave</i> operations have the same synchronization

        }
    }

    /**
     * Returns `true` if adding [classToImport] import to the [file] might alter or break the
     * resolve of existing references in the file.
     *
     * N.B.: At the moment it might have both false positives and false negatives, since it does not
     * check all possible references.
     */
    private fun importBreaksExistingReferences(classToImport: ClassId, importAllInParent: Boolean): Boolean {

    // Backing futures complete
    Boolean booleanPartial = true;
    futureBoolean.set(booleanPartial);
    // Once the backing futures are done there's a (brief) moment where we know nothing
    assertThat(futureResult.toString()).matches("CombinedFuture@\\w+\\[status=PENDING]");
    callableBlocking.countDown();
    // Need to wait for resultFuture to be returned.

    // Backing futures complete
    Boolean booleanPartial = true;
    futureBoolean.set(booleanPartial);
    // Once the backing futures are done there's a (brief) moment where we know nothing
    assertThat(futureResult.toString()).matches("CombinedFuture@\\w+\\[status=PENDING]");
    callableBlocking.countDown();
    // Need to wait for resultFuture to be returned.