Hepsi varsayılan olarak **çalışıyor**.


### Doğrulama

* Neredeyse bütün (ya da hepsi?) Python **data typeları** için doğrulama, kapsadıkları:
    * JSON objeleri (`dict`).
    * JSON array (`list`) item type'ı belirtirken.
    * String (`str`) parametresi, minimum ve maksimum uzunluk gibi sınırlandırmalar yaparken.
    * Numaralar (`int`, `float`) maksimum ve minimum gibi sınırlandırmalar yaparken.

/// info | 정보

`Offer`가 선택사항 `Image` 리스트를 차례로 갖는 `Item` 리스트를 어떻게 가지고 있는지 주목하세요

///

## 순수 리스트의 본문

예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:

```Python
images: List[Image]
```

이를 아래처럼:

{* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}

## 어디서나 편집기 지원

     * (never less than 1, never more than 2), depending on project packaging.
     * <p>
     * The list's first element is ALWAYS the project POM artifact. Presence of second element in the list depends
     * solely on the project packaging.
     *
     * @see #getPackaging()
     * @see #getPomArtifact()
     * @see #getMainArtifact()

	types          uint64
	numSubscribers int32
	maxSubscribers int32

	// not atomics:
	subs []*Sub[T]
	sync.RWMutex
}

// Publish message to the subscribers.
// Note that publish is always non-blocking send so that we don't block on slow receivers.
// Hence receivers should use buffered channel so as not to miss the published events.
func (ps *PubSub[T, M]) Publish(item T) {
	ps.RLock()
	defer ps.RUnlock()

	if _, err := objAPI.GetBucketInfo(ctx, bucket, BucketOptions{}); err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Error out if Content-Length is missing.
	// PutBucketPolicy always needs Content-Length.
	if r.ContentLength <= 0 {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrMissingContentLength), r.URL)
		return
	}

	// Error out if Content-Length is beyond allowed size.

		return closer.Close()
	}
	return nil
}

func (b *streamingBitrotReader) ReadAt(buf []byte, offset int64) (int, error) {
	var err error
	if offset%b.shardSize != 0 {
		// Offset should always be aligned to b.shardSize
		// Can never happen unless there are programmer bugs
		return 0, errUnexpected
	}
	if b.rc == nil {
		// For the first ReadAt() call we need to open the stream for reading.

ret=$?
if [ $ret -ne 0 ]; then
	echo "BUG: expected no 'diff' after replication: $out"
	exit 1
fi

## check if we don't create delete markers on the directory objects, its always permanent delete.
./mc mb sitea/bucket-version/directory/

sleep 2s

./mc rm -r --force sitea/bucket-version/

sleep 2s

./mc ls -r --versions sitea/bucket-version/ >/tmp/sitea_dirs.txt

Zum Beispiel deklariert das obige Modell ein JSON „`object`“ (oder Python-<abbr title="Dictionary – Zuordnungstabelle: In anderen Sprachen auch Hash, Map, Objekt, Assoziatives Array genannt">`dict`</abbr>) wie dieses:

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

Observe como `Offer` tem uma lista de `Item`s, que por sua vez têm uma lista opcional de `Image`s

///

## Corpos de listas puras { #bodies-of-pure-lists }

Se o valor de primeiro nível do corpo JSON que você espera for um `array` do JSON (uma` lista` do Python), você pode declarar o tipo no parâmetro da função, da mesma forma que nos modelos do Pydantic:

```Python
images: list[Image]
```

como em:

	defer removeRoots(disks)

	// uses *testing.B and the object Layer to run the benchmark.
	runPutObjectBenchmarkParallel(b, objLayer, objSize)
}

// randomly picks a character and returns its equivalent byte array.
func getRandomByte() []byte {
	const letterBytes = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
	// seeding the random number generator.
	rand.Seed(UTCNow().UnixNano())
	// pick a character randomly.