org.apache.maven.di.Key.ofType(key.getTypeLiteral().getType(), qualifier);
        return scope(k, unscoped::get)::get;
    }

    public static <T> Provider<T> seededKeyProvider(Class<? extends T> clazz) {
        return SessionScope.<T>seededKeySupplier(clazz)::get;
    }

    protected boolean isTypeAnnotation(Class<? extends Annotation> annotationType) {

    }

    @Override
    public PluginDescriptor get(Key cacheKey) {
        return clone(descriptors.get(cacheKey));
    }

    @Override
    public PluginDescriptor get(Key key, PluginDescriptorSupplier supplier)
            throws PluginDescriptorParsingException, PluginResolutionException, InvalidPluginDescriptorException {

        PluginDescriptor desc = descriptors.get(key);
        if (desc == null) {

        @app.get("/return")
        def endpoint() -> ReturnModelV1:  # pragma: no cover
            return ReturnModelV1(name="test")


def test_raises_pydantic_v1_model_in_response_model() -> None:
    class ResponseModelV1(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.get("/response-model", response_model=ResponseModelV1)

    }


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/{item_id}": {
                "get": {
                    "responses": {
                        "200": {

from typing import Annotated

from fastapi import FastAPI, Path, Query

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get")],
    q: Annotated[str | None, Query(alias="item-query")] = None,
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

@callback_router.get(
    "{$callback_url}/callback/", responses={400: {"model": CustomModel}}
)
def callback_route():
    pass  # pragma: no cover


@app.post("/", callbacks=callback_router.routes)
def main_route(callback_url: HttpUrl):
    pass  # pragma: no cover


client = TestClient(app)


def test_openapi_schema():
    response = client.get("/openapi.json")

			Description:    "Cluster replication is enabled on this site, versioning cannot be suspended on bucket.",
			HTTPStatusCode: http.StatusBadRequest,
		}, r.URL)
		return
	}

	if rcfg, _ := globalBucketObjectLockSys.Get(bucket); rcfg.LockEnabled && (v.Suspended() || v.PrefixesExcluded()) {
		writeErrorResponse(ctx, w, APIError{
			Code:           "InvalidBucketState",

{* ../../docs_src/first_steps/tutorial001_py39.py hl[6] *}

O `@app.get("/")` diz ao **FastAPI** que a função logo abaixo é responsável por tratar as requisições que vão para:

* o path `/`
* usando uma <abbr title="um método HTTP GET">operação <code>get</code></abbr>

/// info | Informações sobre `@decorator`

Essa sintaxe `@alguma_coisa` em Python é chamada de "decorador".

{* ../../docs_src/first_steps/tutorial001_py39.py hl[6] *}

El `@app.get("/")` le dice a **FastAPI** que la función justo debajo se encarga de manejar requests que vayan a:

* el path `/`
* usando una <abbr title="un método HTTP GET"><code>get</code> operation</abbr>

/// info | Información sobre `@decorator`

Esa sintaxis `@algo` en Python se llama un "decorador".

{* ../../docs_src/first_steps/tutorial001.py h1[6] *}

`@app.get("/")` 告訴 **FastAPI** 那個函式負責處理請求：

* 路徑 `/`
* 使用 <abbr title="HTTP GET 方法"><code>get</code>操作</abbr>

/// info | `@decorator` Info

Python 中的 `@something` 語法被稱為「裝飾器」。

你把它放在一個函式上面。像一個漂亮的裝飾帽子（我猜這是術語的來源）。

一個「裝飾器」會對下面的函式做一些事情。

在這種情況下，這個裝飾器告訴 **FastAPI** 那個函式對應於 **路徑** `/` 和 **操作** `get`.

這就是「**路徑操作裝飾器**」。

///

你也可以使用其他的操作：