Et en interne, Pydantic utilise les mêmes mécanismes Rust sous-jacents que `orjson` pour sérialiser en JSON, vous obtiendrez donc déjà la meilleure performance avec un modèle de réponse.

## Classe de réponse par défaut { #default-response-class }

 * peers. Sets of root certificates are managed by either the HTTP client (like Firefox), or the
 * host platform (like Android). In July 2018 Android had 134 trusted root certificates for its HTTP
 * clients to trust.
 *
 * For example, in order to establish a secure connection to `https://www.squareup.com/`,
 * these three certificates are used.
 *
 * ```
 * www.squareup.com certificate:
 *
 * Common Name: www.squareup.com

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[9:11,22] *}

戻り値の型を宣言すると、FastAPI はそれを使ってデータを**検証**し、OpenAPI に**ドキュメント化**し、**フィルター**し、Pydantic で**シリアライズ**します。

/// tip | 豆知識

Pydantic は **Rust** 側でシリアライズを行うため、戻り値の型を宣言しない場合に比べて大幅に高い**パフォーマンス**が得られます。

///

### 非 async の *path operation 関数* { #non-async-path-operation-functions }

`async` を使わない通常の `def` 関数でも同様に `yield` を使えます。

Und unter der Haube verwendet Pydantic dieselben Rust-Mechanismen wie `orjson`, um nach JSON zu serialisieren. Sie erhalten mit einem Responsemodell also ohnehin die beste Leistung.

## Standard-Response-Klasse { #default-response-class }

And under the hood, Pydantic uses the same underlying Rust mechanisms as `orjson` to serialize to JSON, so you will already get the best performance with a response model.

## Default response class { #default-response-class }

Ve kaputun altında, Pydantic JSON’a serialize etmek için `orjson` ile aynı Rust tabanlı mekanizmaları kullanır; bu nedenle bir response modeliyle zaten en iyi performansı elde edersiniz.

## Varsayılan response class { #default-response-class }

_2016-02-10_

 *  Fix: Don’t crash when finding the trust manager on Robolectric. We attempted
    to detect the host platform and got confused because Robolectric looks like
    Android but isn’t!
 *  Fix: Change `CertificatePinner` to skip sanitizing the certificate chain
    when no certificates were pinned. This avoids an SSL failure in insecure
    “trust everyone” configurations, such as when talking to a development

In this example we are using the OAuth2 "password" flow.

This is appropriate when we are logging in to our own application, probably with our own frontend.

Because we can trust it to receive the `username` and `password`, as we control it.

 *   <li>useEPSVwithIPv4: Whether to use EPSV with IPv4.</li>
 *   <li>isImplicit: Whether to use implicit SSL/TLS encryption.</li>
 *   <li>trustManager: The trust manager to use for SSL/TLS connections ("all", "valid", or "none").</li>
 *   <li>enterLocalPassiveMode: Whether to enter local passive mode.</li>

응답 모델을 사용하면 FastAPI는 중간 단계(예: `jsonable_encoder`로의 변환) 없이 Pydantic을 사용해 데이터를 JSON으로 직렬화합니다. 이런 중간 단계는 다른 경우에 발생합니다.

그리고 내부적으로 Pydantic은 JSON 직렬화를 위해 `orjson`과 동일한 Rust 기반 메커니즘을 사용하므로, 응답 모델만으로도 이미 최상의 성능을 얻게 됩니다.

## 기본 응답 클래스 { #default-response-class }

**FastAPI** 클래스 인스턴스 또는 `APIRouter`를 생성할 때 기본으로 사용할 응답 클래스를 지정할 수 있습니다.

이를 정의하는 매개변수는 `default_response_class`입니다.