* expressions.
 *
 * @since 4.0.0
 */
@Experimental
public interface MojoExecution {

    @Nonnull
    Plugin getPlugin();

    @Nonnull
    PluginExecution getModel();

    @Nonnull
    MojoDescriptor getDescriptor();

    @Nonnull
    String getExecutionId();

    @Nonnull
    String getGoal();

    @Nonnull
    String getLifecyclePhase();

    /**
     * {@return the project model}.
     */
    @Nonnull
    Model getModel();

    /**
     * Shorthand method.
     *
     * @return the build element of the project model
     */
    @Nonnull
    default Build getBuild() {
        Build build = getModel().getBuild();
        return build != null ? build : Build.newInstance();
    }

    /**

/**
 * Represents a maven plugin runtime
 *
 * @since 4.0.0
 */
@Experimental
public interface Plugin {

    @Nonnull
    org.apache.maven.api.model.Plugin getModel();

    @Nonnull
    PluginDescriptor getDescriptor();

    @Nonnull
    List<Lifecycle> getLifecycles();

    @Nonnull
    ClassLoader getClassLoader();

    @Nonnull
    Artifact getArtifact();

     *
     * @return the toolchain type
     */
    String getType();

    /**
     * Gets the underlying toolchain model.
     *
     * @return the toolchain model
     */
    ToolchainModel getModel();

    /**
     * Gets the platform tool executable.
     *
     * @param toolName the tool platform independent tool name
     * @return file representing the tool executable, or null if the tool cannot be found

    app = FastAPI()
    model = ModelWithDatetimeField(dt_field=datetime(2019, 1, 1, 8))

    @app.get("/model", response_model=ModelWithDatetimeField)
    def get_model():
        return model

    client = TestClient(app)
    with client:
        response = client.get("/model")
    assert response.json() == {"dt_field": "2019-01-01T08:00:00+00:00"}

from fastapi import FastAPI


class ModelName(str, Enum):
    alexnet = "alexnet"
    resnet = "resnet"
    lenet = "lenet"


app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":

			err := resource.UnmarshalTo(&clientConfig)
			if err != nil {
				return nil, nil, fmt.Errorf("could not unmarshal ClientConfig: %w", err)
			}
			meta, err := model.ParseMetadata(clientConfig.GetNode().GetMetadata())
			if err != nil {
				return nil, nil, fmt.Errorf("could not parse node metadata: %w", err)
			}
			if s.Namespace != "" && meta.Namespace != s.Namespace {
				continue
			}

    private boolean discartPunctuation;

    public KuromojiTokenizerFactory(IndexSettings indexSettings, Environment env, String name, Settings settings) {
        super(indexSettings, settings, name);
        mode = getMode(settings);
        userDictionary = getUserDictionary(env, settings);
        discartPunctuation = settings.getAsBoolean("discard_punctuation", true);
        nBestCost = settings.getAsInt(NBEST_COST, -1);

        }
        else {
            if ( log.isDebugEnabled() ) {
                log.debug("Node " + ref.getNode() + " path " + reqPath + " remain " + reqPath.substring(consumed) + " path consumed " + consumed);
            }
            dfsPathSplit(ref.getNode(), arr);
            dr.server = arr[ 1 ];
            dr.share = arr[ 2 ];
            dr.path = arr[ 3 ];

	const (
		istioVersionKey  = "ISTIO_VERSION"
		istioProxyShaKey = "ISTIO_PROXY_SHA"
	)

	md := bootstrapDump.GetBootstrap().GetNode().GetMetadata().GetFields()

	if versionPB, ok := md[istioVersionKey]; ok {
		version = versionPB.GetStringValue()
	}
	if shaPB, ok := md[istioProxyShaKey]; ok {
		sha = shaPB.GetStringValue()