{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[27:30] hl[28] *}

### 戻り値の型なし { #no-return-type }

戻り値の型を省略することもできます。FastAPI はその場合、データを JSON にシリアライズ可能な形に変換するために [`jsonable_encoder`](./encoder.md) を使い、JSON Lines として送信します。

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[33:36] hl[34] *}

## Server-Sent Events (SSE) { #server-sent-events-sse }

	Index int `json:"index"`
	// Distribution is the distribution of the data and parity blocks
	Distribution []int `json:"distribution"`
	// Checksums holds all bitrot checksums of all erasure encoded blocks
	Checksums []ChecksumInfo `json:"checksum,omitempty"`
}

// Equal equates current erasure info with newer erasure info.
// returns false if one of the following check fails
// - erasure algorithm is different

        int[] codes = (int[]) propMap.get(CRAWLER_FAILURE_URL_STATUS_CODES);
        if (codes == null) {
            codes = split(getCrawlerFailureUrlStatusCodes(), ",")
                    .get(stream -> stream.filter(StringUtil::isNotBlank).mapToInt(Integer::parseInt).toArray());
            propMap.put(CRAWLER_FAILURE_URL_STATUS_CODES, codes);
        }
        for (final int v : codes) {

/// info | 정보

`TestClient`는 Pydantic 모델이 아니라 JSON으로 변환될 수 있는 데이터를 받습니다.

만약 테스트 중 Pydantic 모델을 가지고 있고 테스트 중에 애플리케이션으로 해당 데이터를 보내고 싶다면, [JSON 호환 인코더](encoder.md)에 설명되어 있는 `jsonable_encoder`를 사용할 수 있습니다.

///

## 실행하기 { #run-it }

그 후에는 `pytest`를 설치하기만 하면 됩니다.

[가상 환경](../virtual-environments.md)을 만들고, 활성화 시킨 뒤에 설치하세요. 예시:

<div class="termy">

* Des performances vraiment impressionnantes. C'est [l’un des frameworks Python les plus rapides disponibles, à l’égal de **NodeJS** et **Go**](https://github.com/encode/starlette#performance).
* Prise en charge des **WebSocket**.
* Tâches d'arrière-plan dans le processus.
* Évènements de démarrage et d'arrêt.
* Client de test basé sur HTTPX.

                "-",
            ],
            input=base_content.encode("utf-8"),
            capture_output=True,
        )
        content_target = version_result.stdout.decode("utf-8")
        format_result = subprocess.run(
            [find_ruff_bin(), "format", "-"],
            input=content_target.encode("utf-8"),
            capture_output=True,
        )

        }
      }
    ```

### Posting form parameters ([.kt][PostFormKotlin], [.java][PostFormJava])

Use `FormBody.Builder` to build a request body that works like an HTML `<form>` tag. Names and values will be encoded using an HTML-compatible form URL encoding.

=== ":material-language-kotlin: Kotlin"
    ```kotlin
      private val client = OkHttpClient()

      fun run() {
        val formBody = FormBody.Builder()

        byte[] dst = new byte[256];
        int bytesWritten = packet.writeTrailerWireFormat(dst, 0);

        assertTrue(bytesWritten > 0);
        // Each name should write at least 34 bytes (encoded name + scope)
        assertTrue(bytesWritten >= 68);
    }

    @Test
    @DisplayName("writeTrailerWireFormat with scope should handle scoped names")
    void testWriteTrailerWireFormatWithScope() {

* der Cloudanbieter
* der Clouddienst

* die Entwicklung
* die Entwicklungsphasen

* das Dict
* das Dictionary
* die Enumeration
* das Enum
* das Enum-Member

* der Encoder
* der Decoder
* kodieren
* dekodieren

* die Exception
* werfen

* der Ausdruck
* die Anweisung

* das Frontend
* das Backend

* die GitHub-Diskussion
* das GitHub-Issue

* Décompresser des corps de requête compressés en gzip.
* Journaliser automatiquement tous les corps de requête.

## Gérer les encodages personnalisés du corps de la requête { #handling-custom-request-body-encodings }

Voyons comment utiliser une sous-classe personnalisée de `Request` pour décompresser des requêtes gzip.