/// tip | Astuce

Remarquez que les fonctions de test sont des `def` normales, pas des `async def`.

Et les appels au client sont aussi des appels normaux, sans utiliser `await`.

Cela vous permet d’utiliser `pytest` directement sans complications.

///

/// note | Détails techniques

Vous pouvez aussi utiliser `from starlette.testclient import TestClient`.

 *   <li>We need to be careful about how we suppress {@code suite()} methods in {@code common.io}.
 *       The generated suite for {@code FooTest} ends up containing {@code FooTest} itself plus some
 *       other tests. We want to exclude the other tests (which Android can't handle) while
 *       continuing to run {@code FooTest} itself. This is exactly what happens with {@code

      try {
        Method unused = clazz.getDeclaredMethod("writeReplace");
        continue; // It overrides writeReplace, so it's safe.
      } catch (NoSuchMethodException e) {
        // This is a class whose supertypes we want to examine. We'll do that below.
      }
      Optional<Class<?>> supersWithPackagePrivateWriteReplace =
          FluentIterable.from(TypeToken.of(clazz).getTypes())
              .transform(TypeToken::getRawType)

`async def` de olabilir, normal `def` de olabilir; **FastAPI** bunu doğru şekilde nasıl ele alacağını bilir.

Bu örnekte görev fonksiyonu bir dosyaya yazacaktır (email göndermeyi simüle ediyor).

Ve yazma işlemi `async` ve `await` kullanmadığı için fonksiyonu normal `def` ile tanımlarız:

{* ../../docs_src/background_tasks/tutorial001_py310.py hl[6:9] *}

## Arka Plan Görevini Ekleyin { #add-the-background-task }

   *
   * <p>If your data has no duplicates, or you wish to deduplicate elements, use {@code
   * ImmutableSortedSet.copyOf(elements)}; if you want a {@code List} you can use its {@code
   * asList()} view.
   *
   * <p><b>Java 8+ users:</b> If you want to convert a {@link java.util.stream.Stream} to a sorted
   * {@code ImmutableList}, use {@code stream.sorted().collect(toImmutableList())}.
   *

            text(
                "performance.baselines",
                "",
                display = ParameterDisplay.PROMPT,
                allowEmpty = true,
                description = "The baselines you want to run performance tests against. Empty means default baseline.",
            )
            text(
                "testProject",
                "",
                display = ParameterDisplay.PROMPT,

De cette façon, elle se comporte presque comme s'il s'agissait simplement d'une variable globale. Mais comme elle utilise une fonction de dépendance, nous pouvons alors la surcharger facilement pour les tests.

`@lru_cache` fait partie de `functools` qui fait partie de la bibliothèque standard de Python, vous pouvez en lire davantage dans la [documentation Python pour `@lru_cache`](https://docs.python.org/3/library/functools.html#functools.lru_cache).

///

### Pydantic v1 et v2 dans la même application { #pydantic-v1-and-v2-on-the-same-app }

Pydantic ne prend pas en charge le fait d'avoir un modèle Pydantic v2 contenant des champs eux-mêmes définis comme des modèles Pydantic v1, et inversement.

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB

        };

        InputStreamThread thread = new InputStreamThread(is, StandardCharsets.UTF_8, 100, callback);
        thread.start();

        assertTrue("Should process all lines within timeout", latch.await(3, TimeUnit.SECONDS));

        thread.join(1000);

        assertEquals("All lines should be processed", 5000, receivedLines.size());
        assertEquals("First line", "Line number 0", receivedLines.get(0));

 * </ul>
 *
 * <p><b>Important note:</b> the primary goal of this benchmark is to ensure that varying {@code
 * whereToDiffer} produces no observable change in performance. We want to make sure that the array
 * equals implementation is *not* short-circuiting to prevent timing-based attacks. Being fast is
 * only a secondary goal.
 *
 * @author Kurt Alfred Kluever
 */
@NullUnmarked