// The C array is allocated in the C heap using malloc.
	// It is the caller's responsibility to arrange for it to be
	// freed, such as by calling C.free (be sure to include stdlib.h
	// if C.free is needed).
	func C.CBytes([]byte) unsafe.Pointer

	// C string to Go string
	func C.GoString(*C.char) string

	// C data with explicit length to Go string
	func C.GoStringN(*C.char, C.int) string

// Package bytes implements functions for the manipulation of byte slices.
// It is analogous to the facilities of the [strings] package.
package bytes

import (
	"internal/bytealg"
	"math/bits"
	"unicode"
	"unicode/utf8"
	_ "unsafe" // for linkname
)

// Equal reports whether a and b
// are the same length and contain the same bytes.
// A nil argument is equivalent to an empty slice.

	for r := rune(0); r < NRune; r++ {
		size := utf8.EncodeRune(b[n:], r)
		nbytes, err := buf.WriteRune(r)
		if err != nil {
			t.Fatalf("WriteRune(%U) error: %s", r, err)
		}
		if nbytes != size {
			t.Fatalf("WriteRune(%U) expected %d, got %d", r, size, nbytes)
		}
		n += size
	}
	b = b[0:n]

	// Check the resulting bytes
	if !Equal(buf.Bytes(), b) {

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] *}

```

## 출력 데이터용 Pydantic `bytes` { #pydantic-bytes-for-output-data }

출력 데이터에도 모델 설정에서 `ser_json_bytes`와 함께 `bytes` 필드를 사용할 수 있습니다. 그러면 Pydantic이 JSON 응답을 생성할 때 바이트를 base64로 “직렬화”합니다.

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

## 입력과 출력 데이터용 Pydantic `bytes` { #pydantic-bytes-for-input-and-output-data }

}
```

## 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.

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

## Giriş ve Çıkış Verisi için Pydantic `bytes` { #pydantic-bytes-for-input-and-output-data }

    Murmur3_32Hasher(int seed) {
      this.h1 = seed;
      this.length = 0;
      isDone = false;
    }

    private void update(int nBytes, long update) {
      // 1 <= nBytes <= 4
      buffer |= (update & 0xFFFFFFFFL) << shift;
      shift += nBytes * 8;
      length += nBytes;

      if (shift >= 32) {
        h1 = mixH1(h1, mixK1((int) buffer));
        buffer >>>= 32;
        shift -= 32;
      }
    }

/**
 * Static utility methods pertaining to {@code byte} primitives, that are not already found in
 * either {@link Byte} or {@link Arrays}, <i>and interpret bytes as neither signed nor unsigned</i>.
 * The methods which specifically treat bytes as signed or unsigned are found in {@link SignedBytes}
 * and {@link UnsignedBytes}.
 *
 * <p>See the Guava User Guide article on <a