- **Utility Classes** - All core functionality exposed through static utility methods for easy access

### Performance Optimizations
- **Caching** - Bean descriptors and reflection metadata are cached for improved performance
- **Lazy initialization** - Resources and expensive operations are initialized only when needed  

			owner = false
		} else {
			owner = globalActiveCred.AccessKey == ucred.ParentUser
		}

		groups = ucred.Groups
	}

	return claims, groups, owner, nil
}

// newCachedAuthToken returns the cached token.
func newCachedAuthToken() func() string {
	return func() string {
		return globalNodeAuthToken
	}

                 * be cached and cause other types to fail even though they may
                 * not be the authority for the name. For example, if a WINS lookup
                 * for FOO fails and caches unknownAddress for FOO, a subsequent
                 * lookup for FOO using BCAST should not fail because of that
                 * name cached from WINS.
                 *

     *
     * @see Function
     * @see Optional
     * @see HashMap#computeIfAbsent(Object, Function)
     */
    static UnaryOperator<String> memoize(UnaryOperator<String> callback) {
        Map<String, Optional<String>> cache = new HashMap<>();
        return s -> cache.computeIfAbsent(s, v -> Optional.ofNullable(callback.apply(v)))

        if (lookup == null) {
            return customLifecycles != null ? customLifecycles : new HashMap<>();
        }

        // Lifecycles cannot be cached as extensions might add custom lifecycles later in the execution.
        try {
            return registry != null

		return nil
	})
	if err != nil {
		return cache, toStorageErr(err)
	}
	if final == nil {
		return cache, errors.New("no final cache")
	}
	return *final, nil
}

func (client *storageRESTClient) GetDiskID() (string, error) {
	if !client.IsOnlineWS() {
		// make sure to check if the disk is offline, since the underlying
		// value is cached we should attempt to invalidate it if such calls

    protected static final String GROOVY_MATCHER = "groovy:";

    /** Map of path mappings by process type. */
    protected final Map<String, List<PathMapping>> pathMappingMap = new HashMap<>();

    /** Cached list of path mappings. */
    protected volatile List<PathMapping> cachedPathMappingList = null;

    /**
     * Initializes the path mapping helper.
     */
    @PostConstruct
    public void init() {

{* ../../docs_src/extending_openapi/tutorial001_py39.py hl[22:24] *}

### Cache the OpenAPI schema { #cache-the-openapi-schema }

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

    private static final DateTimeFormatter ISO_FORMATTER = DateTimeFormatter.ISO_INSTANT;

    // Patterns for sensitive data - compiled once and cached
    private static final Pattern PASSWORD_PATTERN = Pattern.compile(
            "(?i)(password|passwd|pwd|secret|token|key|credential|auth)([\"']?\\s*[:=]\\s*[\"']?)([^\"',\\s]+)", Pattern.CASE_INSENSITIVE);

)

// metricsCache - cache for metrics.
//
// When serving metrics, this cache is passed to the MetricsLoaderFn.
//
// This cache is used for metrics that would result in network/storage calls.
type metricsCache struct {
	dataUsageInfo       *cachevalue.Cache[DataUsageInfo]
	esetHealthResult    *cachevalue.Cache[HealthResult]
	driveMetrics        *cachevalue.Cache[storageMetrics]