while (tg.getParent() == null) {
            tg = tg.getParent();
        }

        ThreadGroup[] tgList = new ThreadGroup[tg.activeGroupCount()];
        tg.enumerate(tgList);

        boolean seen = false;

        for (ThreadGroup aTgList : tgList) {
            if (!aTgList.getName().equals(DefaultArtifactResolver.DaemonThreadCreator.THREADGROUP_NAME)) {
                continue;

Você pode comparar eles com o *membro de enumeration* no enum `ModelName` que você criou:

```Python hl_lines="17"
{!../../docs_src/path_params/tutorial005.py!}
```

#### Obtenha o *valor de enumerate*

Você pode ter o valor exato de enumerate (um `str` nesse caso) usando `model_name.value`, ou em geral, `your_enum_member.value`:

```Python hl_lines="20"
{!../../docs_src/path_params/tutorial005.py!}
```

/// tip | "Dica"

    Enumeration<Integer> enumer = enumerate();
    Iterator<Integer> iter = Iterators.forEnumeration(enumer);

    assertFalse(iter.hasNext());
    assertThrows(NoSuchElementException.class, () -> iter.next());
  }

  @SuppressWarnings("DoNotCall")
  public void testForEnumerationSingleton() {
    Enumeration<Integer> enumer = enumerate(1);

    Enumeration<Integer> enumer = enumerate();
    Iterator<Integer> iter = Iterators.forEnumeration(enumer);

    assertFalse(iter.hasNext());
    assertThrows(NoSuchElementException.class, () -> iter.next());
  }

  @SuppressWarnings("DoNotCall")
  public void testForEnumerationSingleton() {
    Enumeration<Integer> enumer = enumerate(1);

		}
	}

	for _, k := range toRemove {
		delete(m, k)
		delete(m, strings.ToLower(k))
	}

	return m
}

// generates an ListBucketVersions response for the said bucket with other enumerated options.
func generateListVersionsResponse(ctx context.Context, bucket, prefix, marker, versionIDMarker, delimiter, encodingType string, maxKeys int, resp ListObjectVersionsInfo, metadata metaCheckFn) ListVersionsResponse {

t))throw new TypeError('Cannot call a class as a function')},de=function(){function e(e,t){for(var o,n=0;n<t.length;n++)o=t[n],o.enumerable=o.enumerable||!1,o.configurable=!0,'value'in o&&(o.writable=!0),Object.defineProperty(e,o.key,o)}return function(t,o,n){return o&&e(t.prototype,o),n&&e(t,n),t}}(),ae=function(e,t,o){return t in e?Object.defineProperty(e,t,{value:o,enumerable:!0,configurable:!0,writable:!0}):e[t]=o,e},le=Object.assign||function(e){for(var t,o=1;o<arguments.length;o++)for(var n in ...

)

// HighwayHash key for logging in anonymous mode
var magicHighwayHash256Key = []byte("\x4b\xe7\x34\xfa\x8e\x23\x8a\xcd\x26\x3e\x83\xe6\xbb\x96\x85\x52\x04\x0f\x93\x5d\xa3\x9f\x44\x14\x97\xe0\x9d\x13\x22\xde\x36\xa0")

// Enumerated level types
const (
	// Log types errors
	FatalKind   = madmin.LogKindFatal
	WarningKind = madmin.LogKindWarning
	ErrorKind   = madmin.LogKindError
	EventKind   = madmin.LogKindEvent

# the dependencies of that target which include a license notice file are then
# included when generating that license. Necessary because the license targets
# in TensorFlow are manually enumerated rather than generated automatically.
do_external_licenses_check(){
  BUILD_TARGET="$1"
  LICENSES_TARGET="$2"

  # grep patterns for targets which are allowed to be missing from the licenses

 * endpoint) or <i>closed</i> (includes the endpoint) on that side. With three possibilities on each
 * side, this yields nine basic types of ranges, enumerated below. (Notation: a square bracket
 * ({@code [ ]}) indicates that the range is closed on that side; a parenthesis ({@code ( )}) means
 * it is either open or unbounded. The construct {@code {x | statement}} is read "the set of all

        `tf.data.Dataset.interleave` to the number of schedulable CPU cores.
    *   Promoting `tf.data.experimental.enumerate_dataset` to core as
        `tf.data.Dataset.enumerate`.
    *   Promoting `tf.data.experimental.unbatch` to core as
        `tf.data.Dataset.unbatch`.
    *   Adds option for introducing slack in the pipeline to reduce CPU