* Fixed parsing of fsType in AWS StorageClass parameters ([#75943](https://github.com/kubernetes/kubernetes/pull/75943), [@jsafrane](https://github.com/jsafrane))

		})
		return
	}
	dsc, err := parseReplicateDecision(ctx, bucket, dobj.ReplicationState.ReplicateDecisionStr)
	if err != nil {
		replLogOnceIf(ctx, fmt.Errorf("unable to parse replication decision parameters for bucket: %s, err: %s, decision: %s",
			bucket, err, dobj.ReplicationState.ReplicateDecisionStr), dobj.ReplicationState.ReplicateDecisionStr)
		sendEvent(eventArgs{
			BucketName: bucket,
			Object: ObjectInfo{

Vous pouvez considérer `APIRouter` comme une « mini `FastAPI` ».

Toutes les mêmes options sont prises en charge.

Tous les mêmes `parameters`, `responses`, `dependencies`, `tags`, etc.

/// tip | Astuce

Dans cet exemple, la variable s'appelle `router`, mais vous pouvez la nommer comme vous le souhaitez.

///

Puedes pensar en `APIRouter` como una clase "mini `FastAPI`".

Se soportan todas las mismas opciones.

Todos los mismos `parameters`, `responses`, `dependencies`, `tags`, etc.

/// tip | Consejo

En este ejemplo, la variable se llama `router`, pero puedes nombrarla como quieras.

///

Você pode pensar em `APIRouter` como uma classe "mini `FastAPI`".

Todas as mesmas opções são suportadas.

Todos os mesmos `parameters`, `responses`, `dependencies`, `tags`, etc.

/// tip | Dica

Neste exemplo, a variável é chamada de `router`, mas você pode nomeá-la como quiser.

///

在这种情况下，你可以通过设置 `response_model=None` 来禁用响应模型生成：

{* ../../docs_src/response_model/tutorial003_05_py310.py hl[7] *}

这会让 FastAPI 跳过响应模型的生成，这样你就可以按需使用任意返回类型注解，而不会影响你的 FastAPI 应用。🤓

## 响应模型的编码参数 { #response-model-encoding-parameters }

你的响应模型可以具有默认值，例如：

{* ../../docs_src/response_model/tutorial004_py310.py hl[9,11:12] *}

* `description: Union[str, None] = None`（或在 Python 3.10 中的 `str | None = None`）默认值为 `None`。

    for TensorFlow <= 1.0.1. For example, writing: `MultiRNNCell([lstm] * 5)`
    will now build a 5-layer LSTM stack where each layer shares the **same**
    parameters. To get 5 layers each with their own parameters, write:
    `MultiRNNCell([LSTMCell(...) for _ in range(5)])`. If at all unsure, first
    test your code with TF 1.1; ensure it raises no errors, and then upgrade to
    TF 1.2.

{* ../../docs_src/bigger_applications/app_an_py310/routers/users.py hl[6,11,16] title["app/routers/users.py"] *}

Можете думати про `APIRouter` як про «міні `FastAPI`».

Підтримуються ті самі опції.

Ті самі `parameters`, `responses`, `dependencies`, `tags` тощо.

/// tip | Порада

У цьому прикладі змінна називається `router`, але ви можете назвати її як завгодно.

///

### API Change

- A few log calls which did not properly format their parameters were fixed. ([#137108](https://github.com/kubernetes/kubernetes/pull/137108), [@pohly](https://github.com/pohly)) [SIG API Machinery, Apps, Auth, Cluster Lifecycle, Network, Node, Scheduling and Testing]

{* ../../docs_src/bigger_applications/app_an_py310/routers/users.py hl[6,11,16] title["app/routers/users.py"] *}

`APIRouter`는 "미니 `FastAPI`" 클래스라고 생각할 수 있습니다.

동일한 옵션들이 모두 지원됩니다.

동일한 `parameters`, `responses`, `dependencies`, `tags` 등등.

/// tip | 팁

이 예시에서는 변수 이름이 `router`이지만, 원하는 이름으로 지어도 됩니다.

///