*     .cacheControl(new CacheControl.Builder().noCache().build())
 *     .url("http://publicobject.com/helloworld.txt")
 *     .build();
 * ```
 *
 * If it is only necessary to force a cached response to be validated by the server, use the more
 * efficient `max-age=0` directive instead:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()
 *         .maxAge(0, TimeUnit.SECONDS)

Declaras la "forma" de los datos como clases con atributos.

Y cada atributo tiene un tipo.

Entonces creas un instance de esa clase con algunos valores y validará los valores, los convertirá al tipo adecuado (si es el caso) y te dará un objeto con todos los datos.

Y obtienes todo el soporte del editor con ese objeto resultante.

Un ejemplo de la documentación oficial de Pydantic:

* `secret_name`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:18] hl[17:18] *}

#### `HeroCreate` - el *modelo de datos* para crear un héroe

Ahora creamos un modelo `HeroCreate`, este es el que **validará** los datos de los clientes.

Tiene los mismos campos que `HeroBase`, y también tiene `secret_name`.

	ctx context.Context

	// used to lock this structure as it is concurrently accessed
	mutex sync.RWMutex
}

// NewHealSequence - creates healSettings, assumes bucket and
// objPrefix are already validated.
func newHealSequence(ctx context.Context, bucket, objPrefix, clientAddr string,
	hs madmin.HealOpts, forceStart bool,
) *healSequence {
	reqInfo := &logger.ReqInfo{RemoteHost: clientAddr, API: "Heal", BucketName: bucket}

	if errCode != ErrNone {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(errCode), r.URL)
		return
	}

	if len(fanOutEntries) > 0 {
		// Once signature is validated, check if the user has
		// explicit permissions for the user.
		if !globalIAMSys.IsAllowed(policy.Args{
			AccountName:     cred.AccessKey,
			Groups:          cred.Groups,

	blk := tw.templateV7Plus(hdr, f.formatString, f.formatOctal)
	f.formatString(blk.toUSTAR().prefix(), namePrefix)
	blk.setFormat(FormatUSTAR)
	if f.err != nil {
		return f.err // Should never happen since header is validated
	}
	return tw.writeRawHeader(blk, hdr.Size, hdr.Typeflag)
}

func (tw *Writer) writePAXHeader(hdr *Header, paxHdrs map[string]string) error {
	realName, realSize := hdr.Name, hdr.Size

    Map<K, V> delegate = delegateOrNull();
    if (delegate != null) {
      metadata =
          Ints.constrainToRange(size(), CompactHashing.DEFAULT_SIZE, CompactHashing.MAX_SIZE);
      delegate.clear(); // invalidate any iterators left over!
      table = null;
      size = 0;
    } else {
      Arrays.fill(requireKeys(), 0, size, null);
      Arrays.fill(requireValues(), 0, size, null);

Você declara a "forma" dos dados como classes com atributos.

E cada atributo tem um tipo.

Em seguida, você cria uma instância dessa classe com alguns valores e ela os validará, os converterá para o tipo apropriado (se for esse o caso) e fornecerá um objeto com todos os dados.

E você recebe todo o suporte do editor com esse objeto resultante.

Retirado dos documentos oficiais dos Pydantic:

   * want to accept ASCII digits only, you can use something like {@code
   * CharMatcher.ascii().matchesAllOf(ipString)}.
   *
   * <p>The scope ID is validated against the interfaces on the machine, which requires permissions
   * under Android.
   *
   * <p><b>Android users on API >= 29:</b> Prefer {@code InetAddresses.parseNumericAddress}.
   *

	end, baseOffset, err := readDirectoryEnd(rdr, size)
	if err != nil {
		return err
	}
	r.r = rdr
	r.baseOffset = baseOffset
	// Since the number of directory records is not validated, it is not
	// safe to preallocate r.File without first checking that the specified
	// number of files is reasonable, since a malformed archive may
	// indicate it contains up to 1 << 128 - 1 files. Since each file has a