* `File()`

Die Schlüssel des `dict` identifizieren jedes Beispiel, und jeder Wert (`"value"`) ist ein weiteres `dict`.

Jedes spezifische Beispiel-`dict` in den `examples` kann Folgendes enthalten:

* `summary`: Kurze Beschreibung für das Beispiel.
* `description`: Eine lange Beschreibung, die Markdown-Text enthalten kann.
* `value`: Dies ist das tatsächlich angezeigte Beispiel, z. B. ein `dict`.

	actualDisksName := make(map[string]string)

	// Calculate the set/disk index
	for _, disk := range localDisks {
		expectedDisksName[fmt.Sprintf("%d-%d", disk.index/setSize, disk.index%setSize)] = disk.path
		format, err := getFormatJSON(disk.path)
		if err != nil {
			log.Printf("Unable to read format.json from `%s`, error: %v\n", disk.path, err)
			continue
		}
		foundDiskLoc, err := getDiskLocation(format)

		})
	}
	tx.Statement.Dest = dest
	return tx.callbacks.Query().Execute(tx)
}

func (db *DB) ScanRows(rows *sql.Rows, dest interface{}) error {
	tx := db.getInstance()
	if err := tx.Statement.Parse(dest); !errors.Is(err, schema.ErrUnsupportedDataType) {
		tx.AddError(err)
	}
	tx.Statement.Dest = dest
	tx.Statement.ReflectValue = reflect.ValueOf(dest)

/// info | 정보

Pydantic v1에서는 해당 메서드가 `.dict()`로 불렸으며, Pydantic v2에서는 `.model_dump()`로 이름이 변경되었습니다. `.dict()`는 여전히 지원되지만 더 이상 권장되지 않습니다.

여기에서 사용하는 예제는 Pydantic v1과의 호환성을 위해 `.dict()`를 사용하지만, Pydantic v2를 사용할 수 있다면 `.model_dump()`를 사용하는 것이 좋습니다.

///

### `**user_in.dict()` 에 대하여

#### Pydantic의 `.dict()`

`user_in`은 Pydantic 모델 클래스인 `UserIn`입니다.

Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.dict()` 메서드를 제공합니다.

    static void writeULong(final byte[] dest, final int offset, final int ulong) {
        dest[offset] = (byte) (ulong & 0xff);
        dest[offset + 1] = (byte) (ulong >> 8 & 0xff);
        dest[offset + 2] = (byte) (ulong >> 16 & 0xff);
        dest[offset + 3] = (byte) (ulong >> 24 & 0xff);
    }

    static void writeUShort(final byte[] dest, final int offset, final int ushort) {
        dest[offset] = (byte) (ushort & 0xff);

        - 'https://server1-pool1:9000/mnt/disk{1...4}/'
        - 'https://server3-pool1:9000/mnt/disk{1...4}/'
        - 'https://server4-pool1:9000/mnt/disk{1...4}/'
  -
        - 'https://server-example-pool2:9000/mnt/disk{1...4}/'
        - 'https://server1-pool2:9000/mnt/disk{1...4}/'
        - 'https://server3-pool2:9000/mnt/disk{1...4}/'
        - 'https://server4-pool2:9000/mnt/disk{1...4}/'

options:

    static void writeULong(final byte[] dest, final int offset, final int ulong) {
        dest[offset] = (byte) (ulong & 0xff);
        dest[offset + 1] = (byte) (ulong >> 8 & 0xff);
        dest[offset + 2] = (byte) (ulong >> 16 & 0xff);
        dest[offset + 3] = (byte) (ulong >> 24 & 0xff);
    }

    static void writeUShort(final byte[] dest, final int offset, final int ushort) {
        dest[offset] = (byte) (ushort & 0xff);

## Retorno Adicional com `model`

Você pode fornecer o parâmetro `responses` aos seus *decoradores de caminho*.

Este parâmetro recebe um `dict`, as chaves são os códigos de status para cada retorno, como por exemplo `200`, e os valores são um outro `dict` com a informação de cada um deles.

Cada um desses `dict` de retorno pode ter uma chave `model`, contendo um modelo do Pydantic, assim como o `response_model`.

			var wg sync.WaitGroup
			// Remove versions in bulk for each disk
			for index, disk := range storageDisks {
				if disk == nil {
					continue
				}
				wg.Add(1)
				go func(index int, disk StorageAPI) {
					defer wg.Done()
					_ = disk.Delete(ctx, bucket, object, DeleteOptions{
						Recursive: false,
						Immediate: false,
					})
				}(index, disk)
			}
			wg.Wait()
		}
	}

		float64(totalDisks.Sum()),
	)

	for _, disk := range server.Disks {
		// Total disk usage by the disk
		ch <- prometheus.MustNewConstMetric(
			prometheus.NewDesc(
				prometheus.BuildFQName(diskNamespace, "storage", "used"),
				"Total disk storage used on the drive",
				[]string{"disk"}, nil),
			prometheus.GaugeValue,
			float64(disk.UsedSpace),
			disk.DrivePath,
		)