|Content-Type: text/plain; charset=utf-8
      |Content-ID: abc
      |
      |abcd
      |efgh
      |--simple boundary
      |Content-Type: text/plain; charset=utf-8
      |Content-ID: ijk
      |
      |ijkl
      |mnop
      |
      |--simple boundary--
      """.trimMargin()
        .replace("\n", "\r\n")

    val parts =
      MultipartReader(
        boundary = "simple boundary",

		{bucketName: bucket, objName: object, uploadID: uploadID, PartID: 3, inputReaderData: "ijkl", inputMd5: "09a0877d04abf8759f99adec02baf579", inputSHA256: "005c19658919186b85618c5870463eec8d9b8c1a9d00208a5352891ba5bbe086", inputDataSize: int64(len("abcd")), shouldPass: true},

		{bucketName, objectName, uploadIDs[0], 2, "efgh", "1f7690ebdd9b4caf8fab49ca1757bf27", int64(len("efgh"))},
		{bucketName, objectName, uploadIDs[0], 3, "ijkl", "09a0877d04abf8759f99adec02baf579", int64(len("abcd"))},
		{bucketName, objectName, uploadIDs[0], 4, "mnop", "e132e96a5ddad6da8b07bba6f6131fef", int64(len("abcd"))},
		// Part with size larger than 5 MiB.

		t.Errorf("MSS: %v != %v", v, v2)
	}
}

func BenchmarkMarshalMsgMSS(b *testing.B) {
	v := MSS{"abc": "def", "ghi": "jkl"}
	b.ReportAllocs()

	for b.Loop() {
		v.MarshalMsg(nil)
	}
}

func BenchmarkAppendMsgMSS(b *testing.B) {
	v := MSS{"abc": "def", "ghi": "jkl"}
	bts := make([]byte, 0, v.Msgsize())
	bts, _ = v.MarshalMsg(bts[0:0])
	b.SetBytes(int64(len(bts)))
	b.ReportAllocs()

		{"/./abc/def", "/abc/def"},
		{"abc/.", "abc"},

		// Remove .. elements
		{"abc/def/ghi/../jkl", "abc/def/jkl"},
		{"abc/def/../ghi/../jkl", "abc/jkl"},
		{"abc/def/..", "abc"},
		{"abc/def/../..", "."},
		{"/abc/def/../..", "/"},
		{"abc/def/../../..", ".."},
		{"/abc/def/../../..", "/"},
		{"abc/def/../../../ghi/jkl/../../../mno", "../../mno"},

		// Combinations
		{"abc/./../def", "def"},

///

## Usa `ORJSONResponse` { #use-orjsonresponse }

Por ejemplo, si estás exprimendo el rendimiento, puedes instalar y usar <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a> y establecer el response como `ORJSONResponse`.

Importa la clase `Response` (sub-clase) que quieras usar y declárala en el *path operation decorator*.

///

## Use `ORJSONResponse` { #use-orjsonresponse }

For example, if you are squeezing performance, you can install and use <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a> and set the response to be `ORJSONResponse`.

Import the `Response` class (sub-class) you want to use and declare it in the *path operation decorator*.

///

## `ORJSONResponse` verwenden { #use-orjsonresponse }

Um beispielsweise noch etwas Leistung herauszuholen, können Sie <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a> installieren und die Response als `ORJSONResponse` setzen.

/// note | 참고

미디어 타입이 없는 응답 클래스를 사용하는 경우, FastAPI는 응답에 내용이 없을 것으로 예상하므로 생성된 OpenAPI 문서에서 응답 형식을 문서화하지 않습니다.

///

## `ORJSONResponse` 사용하기

예를 들어, 성능을 극대화하려는 경우, <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">orjson</a>을 설치하여 사용하고 응답을 `ORJSONResponse`로 설정할 수 있습니다.

사용하고자 하는 `Response` 클래스(하위 클래스)를 임포트한 후, **경로 작업 데코레이터*에서 선언하세요.

대규모 응답의 경우, 딕셔너리를 반환하는 것보다 `Response`를 반환하는 것이 훨씬 빠릅니다.

///

## Используйте `ORJSONResponse` { #use-orjsonresponse }

Например, если вы выжимаете максимум производительности, вы можете установить и использовать <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a> и задать ответ как `ORJSONResponse`.

Импортируйте класс (подкласс) `Response`, который вы хотите использовать, и объявите его в декораторе операции пути.