*
     * <ul>
     *   <li>If {@link #CLASSES} path type is also set, then the dependency should be placed on the
     *       module path, but is also compatible with placement on the class path. Compatibility can
     *       be achieved, for example, by repeating in the {@code META-INF/services/} directory the services

        }

        @Test
        @DisplayName("Should throw ClassCastException for incompatible type")
        void testUnwrapToIncompatibleType() {
            // Create a mock class that extends DfsReferralData but is not compatible
            class IncompatibleReferralData implements DfsReferralData {
                @Override
                public <T extends DfsReferralData> T unwrap(Class<T> type) {
                    return null;

            }
        }
        if (values == null) {
            values = new ArrayList<>();
            values.add(value);
            this.requestProperties.put(key, values);
        }
        // 1.3-compatible.
        final StringBuilder buffer = new StringBuilder();
        final Iterator<String> propertyValues = values.iterator();
        while (propertyValues.hasNext()) {
            buffer.append(propertyValues.next());

		statsCollectedHandler := collectAPIStats(handlerName, throttledHandler)

		// Call the final handler.
		statsCollectedHandler(w, r)
	}

	return handler
}

// registerAPIRouter - registers S3 compatible APIs.
func registerAPIRouter(router *mux.Router) {
	// Initialize API.
	api := objectAPIHandlers{
		ObjectAPI: newObjectLayerFn,
	}

	// API Router

  * Deployment was Alpha in 1.1 (though it had apiVersion extensions/v1beta1) and
was disabled by default. Due to some non-backward-compatible API changes, any
Deployment objects you created in 1.1 won’t work with in the 1.2 release.

        Type[] toArgs = toParameterizedType.getActualTypeArguments();
        checkArgument(
            fromArgs.length == toArgs.length,
            "%s not compatible with %s",
            fromParameterizedType,
            toParameterizedType);
        for (int i = 0; i < fromArgs.length; i++) {
          populateTypeMappings(mappings, fromArgs[i], toArgs[i]);
        }

	if rcfg.Config != nil && rcfg.Config.RoleArn != "" {
		// For backward compatibility of objects pending/failed replication.
		// Save replication related statuses in the new internal representation for
		// compatible behavior.
		if !oi.ReplicationStatus.Empty() {
			oi.ReplicationStatusInternal = fmt.Sprintf("%s=%s;", rcfg.Config.RoleArn, oi.ReplicationStatus)
		}
		if !oi.VersionPurgeStatus.Empty() {

    val tlsVersions: List<TlsVersion>? = connectionSpec.tlsVersions
    val cipherSuites: List<CipherSuite>? = connectionSpec.cipherSuites
    val supportsTlsExtensions: Boolean = connectionSpec.supportsTlsExtensions
    val compatible: Boolean =
      connectionSpec.isCompatible(
        localhost().sslSocketFactory().createSocket() as SSLSocket,
      )
  }

  @Test
  fun connectionSpecBuilder() {

* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
* **Robust**: Get production-ready code. With automatic interactive documentation.

Um detalhe interessante é que a porcentagem da **CPU usada** por cada processo pode **variar** muito ao longo do tempo, mas a **memória (RAM)** normalmente fica mais ou menos **estável**.

Se você tiver uma API que faz uma quantidade comparável de cálculos todas as vezes e tiver muitos clientes, então a **utilização da CPU** provavelmente *também será estável* (em vez de ficar constantemente subindo e descendo rapidamente).