res.setEntry(resEntry);

            res.setScope(requestedScope);

            for (MetadataGraphVertex v : vertices) {
                final List<MetadataGraphEdge> ins = graph.getIncidentEdges(v);
                final MetadataGraphEdge edge = cleanEdges(v, ins, requestedScope);

                if (edge == null) { // no edges - don't need this vertex anymore
                    if (entry.equals(v)) { // unless it's an entry point.

* resources
* providers
* services
* injectables
* components

## **FastAPI** plug-ins

Integrations and "plug-ins" can be built using the **Dependency Injection** system. But in fact, there is actually **no need to create "plug-ins"**, as by using dependencies it's possible to declare an infinite number of integrations and interactions that become available to your *path operation functions*.

	if opts == nil {
		opts = &NewFakeContextOption{}
	}
	ns := opts.Namespace
	ins := opts.IstioNamespace
	return &fakeInstance{
		clients: map[string]kube.CLIClient{},
		rootFlags: &RootFlags{
			kubeconfig:       ptr.Of[string](""),
			configContext:    ptr.Of[string](""),
			namespace:        &ns,
			istioNamespace:   &ins,
			impersonate:      ptr.Of[string](""),
			impersonateUID:   ptr.Of[string](""),

        for (MetadataGraphVertex v : vertices) {
            sb.append("Vertex:  ").append(v.getMd().toString()).append('\n');
            List<MetadataGraphEdge> ins = getIncidentEdges(v);
            if (ins != null) {
                for (MetadataGraphEdge e : ins) {
                    sb.append("       from :  ").append(e.toString()).append('\n');
                }
            } else {

 * @see <a href="https://maven.apache.org/guides/mini/guide-configuring-plugins.html" target="_blank">Guide to Configuring Plug-ins</a>
 * @see <a href="https://maven.apache.org/developers/mojo-api-specification.html" target="_blank">Mojo API Specification</a>
 *
 */
public abstract class AbstractMojo implements Mojo, ContextEnabled {

        gathered at runtime to be used in embedding layer partitioning
        decisions.
*   PluggableDevice
    *   Third-party devices can now connect to TensorFlow as plug-ins through
        [StreamExecutor C API](https://github.com/tensorflow/community/blob/master/rfcs/20200612-stream-executor-c-api.md).
        and