*
   * {@snippet :
   * for (B b0 : lists.get(0)) {
   *   for (B b1 : lists.get(1)) {
   *     ...
   *     ImmutableList<B> tuple = ImmutableList.of(b0, b1, ...);
   *     // operate on tuple
   *   }
   * }
   * }
   *
   * <p>Note that if any input list is empty, the Cartesian product will also be empty. If no lists

    return blocks


def _split_hash_comment(line: str) -> tuple[str, str | None]:
    match = HASH_COMMENT_RE.match(line)
    if match:
        code = match.group("code").rstrip()
        comment = match.group("comment")
        return code, comment
    return line.rstrip(), None


def _split_slashes_comment(line: str) -> tuple[str, str | None]:
    match = SLASHES_COMMENT_RE.match(line)
    if match:

### Declare uma `list` com um parâmetro de tipo { #declare-a-list-with-a-type-parameter }

Para declarar tipos que têm parâmetros de tipo (tipos internos), como `list`, `dict`, `tuple`,
passe o(s) tipo(s) interno(s) como "parâmetros de tipo" usando colchetes: `[` e `]`

```Python
my_list: list[str]
```

Essa é a sintaxe padrão do Python para declarações de tipo.

### Déclarer une `list` avec un paramètre de type { #declare-a-list-with-a-type-parameter }

Pour déclarer des types qui ont des paramètres de type (types internes), comme `list`, `dict`, `tuple`,
passez le(s) type(s) interne(s) comme « paramètres de type » à l'aide de crochets : `[` et `]`

```Python
my_list: list[str]
```

C'est simplement la syntaxe Python standard pour les déclarations de type.

### Eine `list` mit einem Typ-Parameter deklarieren { #declare-a-list-with-a-type-parameter }

Um Typen zu deklarieren, die Typ-Parameter (innere Typen) haben, wie `list`, `dict`, `tuple`, übergeben Sie den/die inneren Typ(en) als „Typ-Parameter“ in eckigen Klammern: `[` und `]`

```Python
my_list: list[str]
```

Das ist alles Standard-Python-Syntax für Typdeklarationen.

### Declarar una `list` con un parámetro de tipo { #declare-a-list-with-a-type-parameter }

Para declarar tipos que tienen parámetros de tipo (tipos internos), como `list`, `dict`, `tuple`,
pasa el/los tipo(s) interno(s) como "parámetros de tipo" usando corchetes: `[` y `]`

```Python
my_list: list[str]
```

Eso es toda la sintaxis estándar de Python para declaraciones de tipo.

    Interceptors that rewrite or replace the request body may now inadvertently interfere with
    duplex request bodies. Such interceptors should check `RequestBody.isDuplex()` and avoid
    accessing the request body when it is.

    Duplex calls require HTTP/2. If HTTP/1 is established instead the duplex call will fail. The
    most common use of duplex calls is [gRPC][grpc_http2].

## 具有型別參數的列表欄位 { #list-fields-with-type-parameter }

不過，Python 有一種專門的方式來宣告具有內部型別（「型別參數」）的列表：

### 宣告帶有型別參數的 `list` { #declare-a-list-with-a-type-parameter }

要宣告具有型別參數（內部型別）的型別，例如 `list`、`dict`、`tuple`，使用方括號 `[` 與 `]` 傳入內部型別作為「型別參數」：

```Python
my_list: list[str]
```

以上都是標準的 Python 型別宣告語法。

對於具有內部型別的模型屬性，也使用相同的標準語法。

因此，在我們的範例中，可以讓 `tags` 明確成為「字串的列表」：

    private set

  // These properties are guarded by `this`. They are typically only accessed by the thread executing
  // the call, but they may be accessed by other threads for duplex requests.

  private var requestBodyOpen = false
  private var responseBodyOpen = false
  private var socketSinkOpen = false
  private var socketSourceOpen = false

          exchange.responseHeadersStart()
          invokeStartEvent = false
        }
        if (responseBuilder == null) {
          if (requestBody.isDuplex()) {
            // Prepare a duplex body so that the application can send a request body later.
            exchange.flushRequest()
            val bufferedRequestBody = exchange.createRequestBody(request, true).buffer()