try {
            toolchainsWriter.write(stringWriter, null, toolchains);
        } catch (IOException e) {
            throw new IllegalStateException("Failed to serialize toolchains to memory", e);
        }

        String serializedToolchains = stringWriter.toString();

        RegexBasedInterpolator interpolator = new RegexBasedInterpolator();

        try {

      derivedSuites.add(
          CollectionTestSuiteBuilder.using(
                  new ReserializedCollectionGenerator<E>(parentBuilder.getSubjectGenerator()))
              .named(getName() + " reserialized")
              .withFeatures(computeReserializedCollectionFeatures(parentBuilder.getFeatures()))
              .suppressing(parentBuilder.getSuppressedTests())
              .withSetUp(parentBuilder.getSetUp())

    * Pydantic permet aussi de le représenter sous la forme d'un « encodage de différence de temps ISO 8601 », [voir la documentation pour plus d'informations](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset` :
    * Dans les requêtes et les réponses, traité de la même manière qu'un `set` :
        * Dans les requêtes, une liste sera lue, les doublons éliminés, puis convertie en `set`.

Et bien sûr, vous pouvez utiliser le même modèle configuré pour utiliser base64 afin de gérer à la fois l'entrée (valider) avec `val_json_bytes` et la sortie (sérialiser) avec `ser_json_bytes` lors de la réception et de l'envoi de données JSON.

    /**
     * @throws Exception
     */
    public void testSerialize() throws Exception {
        final String[] a = new String[] { "1", "2" };
        final String[] b = (String[]) SerializeUtil.serialize(a);
        assertEquals("1", b.length, a.length);
        assertEquals("2", "1", b[0]);
        assertEquals("3", "2", b[1]);
    }

    /**
     * @throws Exception
     */

      derivedSuites.add(
          SetTestSuiteBuilder.using(
                  new ReserializedSetGenerator<E>(parentBuilder.getSubjectGenerator()))
              .named(getName() + " reserialized")
              .withFeatures(computeReserializedCollectionFeatures(parentBuilder.getFeatures()))
              .suppressing(parentBuilder.getSuppressedTests())
              .withSetUp(parentBuilder.getSetUp())

        StringWriter writer = new StringWriter(1024 * 4);

        try {
            settingsWriter.write(writer, null, settings);
        } catch (IOException e) {
            throw new IllegalStateException("Failed to serialize settings to memory", e);
        }

        String serializedSettings = writer.toString();

        RegexBasedInterpolator interpolator = new RegexBasedInterpolator();

    * 파이썬의 `datetime.timedelta`.
    * 요청과 응답에서 전체 초(seconds)의 `float`로 표현됩니다.
    * Pydantic은 "ISO 8601 time diff encoding"으로 표현하는 것 또한 허용합니다. [더 많은 정보는 문서를 확인하세요](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset`:
    * 요청과 응답에서 `set`와 동일하게 취급됩니다:
        * 요청 시, 리스트를 읽어 중복을 제거하고 `set`로 변환합니다.
        * 응답 시, `set`는 `list`로 변환됩니다.
        * 생성된 스키마는 (JSON 스키마의 `uniqueItems`를 이용해) `set`의 값이 고유함을 명시합니다.
* `bytes`:

  }

  /** Returns the value of this {@code AtomicDouble} as a {@code double}. */
  @Override
  public double doubleValue() {
    return get();
  }

  /**
   * Saves the state to a stream (that is, serializes it).
   *
   * @serialData The current value is emitted (a {@code double}).
   */
  private void writeObject(ObjectOutputStream s) throws IOException {
    s.defaultWriteObject();

    s.writeDouble(get());

	log.SetPrefix("go_android_exec: ")
	exitCode, err := runMain()
	if err != nil {
		log.Fatal(err)
	}
	os.Exit(exitCode)
}

func runMain() (int, error) {
	// Concurrent use of adb is flaky, so serialize adb commands.
	// See https://github.com/golang/go/issues/23795 or
	// https://issuetracker.google.com/issues/73230216.
	lockPath := filepath.Join(os.TempDir(), "go_android_exec-adb-lock")