Pour parler de tâches "synchrones" (en opposition à "asynchrones"), on utilise souvent le terme "séquentiel", car l'ordinateur / le programme va effectuer toutes les étapes d'une tâche séquentiellement avant de passer à une autre tâche, même si ces étapes impliquent de l'attente.

### Concurrence et Burgers

/**
 * Static utility methods related to {@code Stream} instances.
 *
 * @since 21.0 (but only since 33.4.0 in the Android flavor)
 */
@GwtCompatible
public final class Streams {
  /**
   * Returns a sequential {@link Stream} of the contents of {@code iterable}, delegating to {@link
   * Collection#stream} if possible.
   */
  public static <T extends @Nullable Object> Stream<T> stream(Iterable<T> iterable) {

## `async` ve `await`

Python'un modern sürümleri, asenkron kodu tanımlamanın çok sezgisel bir yoluna sahiptir. Bu, normal "sequentıal" (sıralı) kod gibi görünmesini ve doğru anlarda sizin için "awaıt" ile bekleme yapmasını sağlar.

## Ejecución de dependencias con `yield` { #execution-of-dependencies-with-yield }

La secuencia de ejecución es más o menos como este diagrama. El tiempo fluye de arriba a abajo. Y cada columna es una de las partes que interactúa o ejecuta código.

```mermaid
sequenceDiagram

participant client as Client

## Adicione expressões regulares { #add-regular-expressions }

Você pode definir um `pattern` de <abbr title="Uma expressão regular, regex ou regexp é uma sequência de caracteres que define um padrão de busca para strings.">expressão regular</abbr> que o parâmetro deve corresponder:

{* ../../docs_src/query_params_str_validations/tutorial004_an_py310.py hl[11] *}

        assertEquals(16, secureNonce1.length, "GCM secure nonce should be 16 bytes");
        assertFalse(Arrays.equals(secureNonce1, secureNonce2), "Secure nonces should be different");

        // Verify randomness (not sequential)
        boolean hasNonZeroPadding = false;
        for (int i = 8; i < secureNonce1.length; i++) {
            if (secureNonce1[i] != 0) {
                hasNonZeroPadding = true;
                break;

    return (fromList instanceof RandomAccess)
        ? new TransformingRandomAccessList<>(fromList, function)
        : new TransformingSequentialList<>(fromList, function);
  }

  /**
   * Implementation of a sequential transforming list.
   *
   * @see Lists#transform
   */
  private static final class TransformingSequentialList<
          F extends @Nullable Object, T extends @Nullable Object>

{* ../../docs_src/query_params_str_validations/tutorial003_an_py310.py hl[10] *}

## Agregar expresiones regulares { #add-regular-expressions }

Puedes definir un <abbr title="Una expresión regular, regex o regexp es una secuencia de caracteres que define un patrón de búsqueda para strings.">expresión regular</abbr> `pattern` que el parámetro debe coincidir:

{* ../../docs_src/query_params_str_validations/tutorial004_an_py310.py hl[11] *}

    # Do some asynchronous stuff to create the burgers
    return burgers
```

...而不是 `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

使用 `async def`，Python 就知道在该函数中，它将遇上 `await`，并且它可以"暂停" ⏸ 执行该函数，直至执行其他操作 🔀 后回来。

当你想调用一个 `async def` 函数时，你必须"等待"它。因此，这不会起作用：

```Python

    return burgers
```

...`def`를 사용하는 대신:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

`async def`를 사용하면, 파이썬은 해당 함수 내에서 `await` 표현에 주의해야한다는 사실과, 해당 함수의 실행을 "일시정지"⏸하고 다시 돌아오기 전까지 다른 작업을 수행🔀할 수 있다는 것을 알게됩니다.