// These will have the same first 4 bytes (all 0).
    byte[] bytesA = new byte[5];
    byte[] bytesB = new byte[5];

    // Change only the last (5th) byte
    bytesA[4] = (byte) 0xbe;
    bytesB[4] = (byte) 0xef;

    HashCode hashCodeA = HashCode.fromBytes(bytesA);
    HashCode hashCodeB = HashCode.fromBytes(bytesB);

    // They aren't equal...

    // These will have the same first 4 bytes (all 0).
    byte[] bytesA = new byte[5];
    byte[] bytesB = new byte[5];

    // Change only the last (5th) byte
    bytesA[4] = (byte) 0xbe;
    bytesB[4] = (byte) 0xef;

    HashCode hashCodeA = HashCode.fromBytes(bytesA);
    HashCode hashCodeB = HashCode.fromBytes(bytesB);

    // They aren't equal...

Şöyle bir response alırsınız:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Çıkış Verisi için Pydantic `bytes` { #pydantic-bytes-for-output-data }

Çıkış verisi için de model config'inde `ser_json_bytes` ile `bytes` alanları kullanabilirsiniz; Pydantic JSON response üretirken bytes'ı base64 olarak serialize eder.

반드시 JSON 안에 바이너리 데이터를 포함해야 하고, 파일을 사용할 수 없을 때만 base64를 사용하세요.

## Pydantic `bytes` { #pydantic-bytes }

`bytes` 필드를 가진 Pydantic 모델을 선언하고, 모델 설정에서 `val_json_bytes`를 사용하도록 지정하면 입력 JSON 데이터를 base64로 “검증”하도록 할 수 있습니다. 이 검증 과정의 일부로 base64 문자열을 바이트로 디코딩합니다.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:9,29:35] hl[9] *}

`/docs`를 확인하면 `data` 필드가 base64로 인코딩된 bytes를 기대한다고 표시됩니다:

<div class="screenshot">

	return Map(c.ToTitle, s)
}

// ToValidUTF8 treats s as UTF-8-encoded bytes and returns a copy with each run of bytes
// representing invalid UTF-8 replaced with the bytes in replacement, which may be empty.
func ToValidUTF8(s, replacement []byte) []byte {
	b := make([]byte, 0, len(s)+len(replacement))
	invalid := false // previous byte was from an invalid UTF-8 sequence
	for i := 0; i < len(s); {

// javadoc?
@GwtCompatible
public final class Bytes {
  private Bytes() {}

  /**
   * Returns a hash code for {@code value}; obsolete alternative to {@link Byte#hashCode(byte)}.
   *
   * @param value a primitive {@code byte} value
   * @return a hash code for the value
   */
  @InlineMe(replacement = "Byte.hashCode(value)")
  @InlineMeValidationDisabled(

You will receive a response like:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

## Pydantic `bytes` for Output Data { #pydantic-bytes-for-output-data }

You can also use `bytes` fields with `ser_json_bytes` in the model config for output data, and Pydantic will *serialize* the bytes as base64 when generating the JSON response.

  "content": "hello"
}
```

## Pydantic `bytes` для выходных данных { #pydantic-bytes-for-output-data }

Вы также можете использовать поля `bytes` с `ser_json_bytes` в конфиге модели для выходных данных, и Pydantic будет сериализовать байты в base64 при формировании JSON-ответа.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

}
```

## Pydantic `bytes` für Ausgabedaten { #pydantic-bytes-for-output-data }

Sie können in der Modellkonfiguration für Ausgabedaten auch `bytes`-Felder mit `ser_json_bytes` verwenden; Pydantic wird die Bytes bei der Erzeugung der JSON-Response als base64 *serialisieren*.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:9,29:35] hl[9] *}

Se você verificar a `/docs`, verá que o campo `data` espera bytes codificados em base64:

<div class="screenshot">
<img src="/img/tutorial/json-base64-bytes/image01.png">