*/
    public enum WitnessRegistrationState {
        /** Registration is in progress */
        REGISTERING,
        /** Registration is active and confirmed */
        REGISTERED,
        /** Unregistration is in progress */
        UNREGISTERING,
        /** Registration has failed */
        FAILED,
        /** Registration has expired due to timeout */
        EXPIRED
    }

):
    # This is an incorrect way of using it, this is not checking if the scopes are
    # provided by the token, only if the endpoint is requesting them, but the test
    # here is just to check if FastAPI is indeed registering and passing the scopes
    # correctly when using Security with parameterless dependencies.
    if "a" not in security_scopes.scopes or "b" not in security_scopes.scopes:

 *
 * <p>
 * This class handles the retrieval of essential crawler components like
 * {@link MimeTypeHelper} and {@link ExtractorFactory} from the
 * {@link CrawlerContainer}. It also provides a convenient method for
 * registering the extractor with the {@link ExtractorFactory}.
 * </p>
 *
 * <p>
 * Subclasses should implement the actual extraction logic in their own
 * methods, leveraging the helper methods provided by this abstract class.

        }
    }

    /**
     * Loads protocol handlers from the specified base package by scanning for
     * Handler classes in subpackages and registering them as web or file protocols
     * based on their PROTOCOL_TYPE field.
     *
     * @param basePackage the base package to scan for protocol handlers
     */
    protected void loadProtocols(final String basePackage) {

   *   <li>If many such tasks are chained together (such as with {@code
   *       future.transform(...).transform(...).transform(...)....}), they may overflow the stack.
   *       (In simple cases, callers can avoid this by registering all tasks with the same {@link
   *       MoreExecutors#newSequentialExecutor} wrapper around {@code directExecutor()}. More
   *       complex cases may require using thread pools or making deeper changes.)

     *
     * @param searcher the RankFusionSearcher to register
     */
    public void register(final RankFusionSearcher searcher) {
        if (logger.isDebugEnabled()) {
            logger.debug("Registering searcher: {}", searcher.getClass().getSimpleName());
        }
        searchers.add(searcher);
        synchronized (this) {
            if (executorService == null) {

It achieves something somewhat similar to what can be done with Flask-apispec.

It has an integrated dependency injection system, inspired by Angular 2. It requires pre-registering the "injectables" (like all the other dependency injection systems I know), so, it adds to the verbosity and code repetition.

# the library which loads libtensorflow_framework.so
# (e.g. _pywrap_tensorflow_internal.so for Python, libtensorflow.so for the C
# API) is responsible for registering ops with libtensorflow_framework.so. In
# addition to this core set of ops, user libraries which are loaded (via
# TF_LoadLibrary/tf.load_op_library) register their ops and kernels with this
# shared object directly.
#

		BucketName:   bucket,
		ObjectName:   object,
		VersionID:    strings.TrimSpace(r.Form.Get(xhttp.VersionID)),
	}

	return logger.SetReqInfo(r.Context(), reqInfo)
}

// Used for registering with rest handlers (have a look at registerStorageRESTHandlers for usage example)
// If it is passed ["aaaa", "bbbb"], it returns ["aaaa", "{aaaa:.*}", "bbbb", "{bbbb:.*}"]
func restQueries(keys ...string) []string {

                log.error("Failed to register for witness notifications", error);
                return null;
            });

        } catch (Exception e) {
            log.error("Error registering for witness notifications", e);
        }
    }

    /**
     * Check if witness support is enabled
     *
     * @return true if witness is enabled
     */