### Crie uma classe `Enum` { #create-an-enum-class }

Importe `Enum` e crie uma subclasse que herde de `str` e de `Enum`.

Ao herdar de `str`, a documentação da API saberá que os valores devem ser do tipo `string` e poderá renderizá-los corretamente.

{* ../../docs_src/path_operation_advanced_configuration/tutorial005_py310.py hl[6] *}

Wenn Sie die automatische API-Dokumentation öffnen, wird Ihre Erweiterung am Ende der spezifischen *Pfadoperation* angezeigt.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

   * containing {@code ["a", "b", "c,d"]}. When omitting empty strings, the omitted strings do not
   * count. Hence, {@code Splitter.on(',').limit(3).omitEmptyStrings().split("a,,,b,,,c,d")} returns
   * an iterable containing {@code ["a", "b", "c,d"]}. When trim is requested, all entries are
   * trimmed, including the last. Hence {@code Splitter.on(',').limit(3).trimResults().split(" a , b
   * , c , d ")} results in {@code ["a", "b", "c , d"]}.
   *

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random

 * instances.</p>
 *
 * <p><dfn>Project aggregation</dfn> allows building several projects together. This is only
 * for projects that are built, hence available on the file system. One project,
 * called the <dfn>aggregator project</dfn> lists one or more <dfn>sub-projects</dfn>
 * which are relative pointers on the file system to other projects. This is done using

     * the model builder operate in project mode. This mode is meant for effective models that are employed during the
     * build process of a local project. Hence, the effective model will support the notion of a project directory. To
     * build the model for a POM from the repository, use {@link #setModelSource(ModelSource)} in combination with a
     * {@link FileModelSource} instead.

Mehr erfahren Sie am Ende dieser Seite.

///

## Zusätzliche Argumente für `Field` { #field-additional-arguments }

Wenn Sie `Field()` mit Pydantic-Modellen verwenden, können Sie ebenfalls zusätzliche `examples` deklarieren:

//     single-part object is equal to the object's content MD5.
//     Formatting the SSE-S3 ETag before decryption will result
//     in a random-looking ETag which an S3 client will not accept.
//
// Hence, a caller has to check:
//
//	if method == SSE-S3 {
//	   ETag, err := Decrypt(key, ETag)
//	   if err != nil {
//	   }
//	}
//	ETag = ETag.Format()
func (e ETag) Format() ETag {
	if !e.IsEncrypted() {

			// the end, this is performed by the caller before
			// closing 'w'.
			if err = disk.DisableDirectIO(file); err != nil {
				return written, err
			}

			// buf is not aligned, hence use writeUnaligned()
			// for the remainder
			un, err = w.Write(buf[len(buf)-remain:])
			nw += int64(un)
		}

		if nw > 0 {
			written += nw
		}

		if err != nil {
			return written, err

    TFE_TensorHandle* h, TF_Status* status);

// This function will block till the operation that produces `h` has
// completed. The memory returned might alias the internal memory used by
// TensorFlow. Hence, callers should not mutate this memory (for example by
// modifying the memory region pointed to by TF_TensorData() on the returned
// TF_Tensor).
TF_CAPI_EXPORT extern TF_Tensor* TFE_TensorHandleResolve(TFE_TensorHandle* h,