val id = (matcher.groupValues[1] + matcher.groupValues[2]).decodeHex()
  return SuiteId(id, matcher.groupValues[3])
}

class IanaSuites(
  val name: String,
  val suites: List<SuiteId>,
) {
  fun fromJavaName(javaName: String): SuiteId =
    suites.firstOrNull {
      it.name == javaName || it.name == "TLS_${javaName.drop(4)}"
    } ?: throw IllegalArgumentException("No such suite: $javaName")
}

# JSON-kompatibler Encoder

Es gibt Fälle, da möchten Sie einen Datentyp (etwa ein Pydantic-Modell) in etwas konvertieren, das kompatibel mit JSON ist (etwa ein `dict`, eine `list`e, usw.).

Zum Beispiel, wenn Sie es in einer Datenbank speichern möchten.

Dafür bietet **FastAPI** eine Funktion `jsonable_encoder()`.

## `jsonable_encoder` verwenden

Stellen wir uns vor, Sie haben eine Datenbank `fake_db`, die nur JSON-kompatible Daten entgegennimmt.

            WebApiUtil.setObject("objectValue", new Object());

            // Test with collections
            java.util.List<String> list = java.util.Arrays.asList("item1", "item2");
            WebApiUtil.setObject("listValue", list);

            java.util.Map<String, String> map = new java.util.HashMap<>();
            map.put("key", "value");
            WebApiUtil.setObject("mapValue", map);

        String capturedSessionId;
        List<String> capturedCmdList;
        Map<String, String> capturedEnvironment;
        File capturedDirectory;
        int exitValue = 0;
        String processOutput = "Test output";
        RuntimeException throwException = null;

        @Override

    void testCollectionConfigurationDelegation() {
        // Given
        List<ResolverType> resolverOrder = Arrays.asList(ResolverType.RESOLVER_DNS, ResolverType.RESOLVER_WINS);
        when(mockDelegate.getResolveOrder()).thenReturn(resolverOrder);

        // When
        List<ResolverType> resultResolverOrder = delegatingConfig.getResolveOrder();

        // Then

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.synonym;

import java.util.ArrayList;
import java.util.Date;
import java.util.List;

import org.codelibs.fess.dict.DictionaryFile.PagingList;
import org.codelibs.fess.unit.UnitFessTestCase;

public class SynonymFileTest extends UnitFessTestCase {
    private SynonymFile synonymFile;

    // TODO

## Список моделей

Таким же образом вы можете определять ответы как списки объектов.

Для этого используйте `typing.List` из стандартной библиотеки Python (или просто `list` в Python 3.9 и выше):

{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}

## Ответ с произвольным `dict`

# JSON Compatible Encoder

Hay algunos casos en los que podrías necesitar convertir un tipo de dato (como un modelo de Pydantic) a algo compatible con JSON (como un `dict`, `list`, etc).

Por ejemplo, si necesitas almacenarlo en una base de datos.

Para eso, **FastAPI** proporciona una función `jsonable_encoder()`.

## Usando el `jsonable_encoder`

Imaginemos que tienes una base de datos `fake_db` que solo recibe datos compatibles con JSON.

# (error on undefined variables). This ensures that (a) every TFCI variable
# has an explicit default value, and (b) no script can accidentally use a
# variable that doesn't exist. Please keep this list in alphabetical order.
#
# Find usage in scripts with e.g.:
#   cd ci/official
#   ls *.sh utilities/*.sh | xargs grep -H --color=always TFCI_ARG_HERE
# You may also get an overview, e.g.:
#   cd ci/official

claim_name    (string)    JWT canned policy claim name, defaults to "policy"
claim_prefix  (string)    JWT claim namespace prefix e.g. "customer1/"
scopes        (csv)       Comma separated list of OpenID scopes for server, defaults to advertised scopes from discovery document e.g. "email,admin"
comment       (sentence)  optionally add a comment to this setting
```

and ENV based options

```