class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()


@invoices_callback_router.post(
    "{$callback_url}/invoices/{$request.body.id}", response_model=InvoiceEventReceived
)
def invoice_notification(body: InvoiceEvent):
    pass  # pragma: nocover


class Event(BaseModel):
    name: str

     *
     * @return The assembled toolchains, never {@code null}.
     */
    PersistedToolchains getEffectiveToolchains();

    /**
     * Return a list of problems, if any.
     *
     * @return a list of problems, never {@code null}.
     */
    List<Problem> getProblems();

            // we need to update the link from the chain
            entries[last] = swapNext(entries[last], getNext(entries[next]));
          }

          moveLastEntry(next);
          size--;
          modCount++;
          return oldValue;
        }
      }
      last = next;
      next = getNext(entries[next]);
    } while (next != UNSET);
    return 0;
  }

  @CanIgnoreReturnValue

    val ephemeral_keys_supported: Boolean,
    val rating: String,
    val tls_version: String,
    val able_to_detect_n_minus_one_splitting: Boolean,
    val insecure_cipher_suites: Map<String, List<String>>,
    val given_cipher_suites: List<String>?,
  )

  @Test
  @Disabled
  fun testSSLFeatures() {
    assumeNetwork()

    val request = Request.Builder().url("https://www.howsmyssl.com/a/check").build()

但是 Python 有一种特定的方法来声明具有子类型的列表：

### 从 typing 导入 `List`

首先，从 Python 的标准库 `typing` 模块中导入 `List`：

```Python hl_lines="1"
{!> ../../docs_src/body_nested_models/tutorial002.py!}
```

### 声明具有子类型的 List

要声明具有子类型的类型，例如 `list`、`dict`、`tuple`：

* 从 `typing` 模块导入它们
* 使用方括号 `[` 和 `]` 将子类型作为「类型参数」传入

```Python
from typing import List

my_list: List[str]
```

这完全是用于类型声明的标准 Python 语法。

        this.params = params;
    }

    @Override
    public void execute(ViolationCheckContext context) {
        List<UpgradedProperty> currentUpgradedProperties = UpgradedProperties.parse(params.get(CURRENT_UPGRADED_PROPERTIES_KEY));
        List<UpgradedProperty> baselineUpgradedProperties = UpgradedProperties.parse(params.get(BASELINE_UPGRADED_PROPERTIES_KEY));

    protected int crawlerPriority = Thread.NORM_PRIORITY;

    protected final List<Crawler> crawlerList = Collections.synchronizedList(new ArrayList<>());

    public void crawl(final String sessionId, final List<String> webConfigIdList, final List<String> fileConfigIdList) {
        final boolean runAll = webConfigIdList == null && fileConfigIdList == null;
        final List<WebConfig> webConfigList;
        if (runAll || webConfigIdList != null) {

        }

        return parser;
    }

    protected String getBaseHref(final Document document) {
        try {
            final XPathNodes list = getXPathAPI().selectNodeList(document, "//BASE");
            if (list.size() > 0) {
                final Node node = list.get(0);
                final Node attrNode = node.getAttributes().getNamedItem("href");
                if (attrNode != null) {

### Importe `List` do typing

Primeiramente, importe `List` do módulo `typing` que já vem por padrão no Python:

```Python hl_lines="1"
{!../../docs_src/body_nested_models/tutorial002.py!}
```

### Declare a `List` com um parâmetro de tipo

Para declarar tipos que têm parâmetros de tipo(tipos internos), como `list`, `dict`, `tuple`:

* Importe os do modulo `typing`

    /**
     * Method getLifecycles.
     *
     * @return List
     */
    public java.util.List<Lifecycle> getLifecycles() {
        if (this.lifecycles == null) {
            this.lifecycles = new java.util.ArrayList<Lifecycle>();
        }

        return this.lifecycles;
    } // -- java.util.List<Lifecycle> getLifecycles()

    /**
     * Get the modelEncoding field.
     *