logger.debug("Initialize {}", this.getClass().getSimpleName());
        }
        load();
    }

    /**
     * Retrieves a list of all available related query entities from the data store.
     * The results are ordered by term and limited by the configured maximum fetch size.
     *
     * @return a list of RelatedQuery entities containing all available related queries
     */

And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to reuse them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.

If you have a big application, you might end up accumulating **several tags**, and you would want to make sure you always use the **same tag** for related *path operations*.

In these cases, it could make sense to store the tags in an `Enum`.

**FastAPI** supports that the same way as with plain strings:

{* ../../docs_src/path_operation_configuration/tutorial002b.py hl[1,8:10,13,18] *}

	"reflect"
	"strings"
	"sync"
	"time"
)

var serializerMap = sync.Map{}

// RegisterSerializer register serializer
func RegisterSerializer(name string, serializer SerializerInterface) {
	serializerMap.Store(strings.ToLower(name), serializer)
}

// GetSerializer get serializer
func GetSerializer(name string) (serializer SerializerInterface, ok bool) {
	v, ok := serializerMap.Load(strings.ToLower(name))
	if ok {

    }
    this.table = newDelegate;
    this.entries = null;
    this.keys = null;
    this.values = null;
    incrementModCount();
    return newDelegate;
  }

  /** Stores the hash table mask as the number of bits needed to represent an index. */
  private void setHashTableMask(int mask) {
    int hashTableBits = Integer.SIZE - Integer.numberOfLeadingZeros(mask);
    metadata =

        }
    }

    @Nested
    @DisplayName("Test Implementation Tests")
    class TestImplementationTests {

        @Test
        @DisplayName("Should correctly store and return capacity")
        void shouldCorrectlyStoreAndReturnCapacity() {
            // Given
            long expectedCapacity = 1024L * 1024L * 1024L * 500L; // 500GB

import org.jspecify.annotations.Nullable;

/**
 * A semi-persistent mapping from keys to values. Cache entries are manually added using {@link
 * #get(Object, Callable)} or {@link #put(Object, Object)}, and are stored in the cache until either
 * evicted or manually invalidated. The common way to build instances is using {@link CacheBuilder}.
 *
 * <p>Implementations of this interface are expected to be thread-safe, and can be safely accessed

{* ../../docs_src/extending_openapi/tutorial001.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.

	globalServiceFreezeMu.Lock()
	// If multiple calls, first one creates channel.
	globalServiceFreezeCnt++
	if globalServiceFreezeCnt == 1 {
		globalServiceFreeze.Store(make(chan struct{}))
	}
	globalServiceFreezeMu.Unlock()
}

// unfreezeServices will unfreeze all incoming S3 API calls.
// For each call, unfreezeServices must be called once.
func unfreezeServices() {

        validate(form, messages -> {}, this::asEditHtml);
        verifyToken(this::asEditHtml);
        getFileAuthentication(form).ifPresent(entity -> {
            try {
                fileAuthenticationService.store(entity);
                saveInfo(messages -> messages.addSuccessCrudCreateCrudTable(GLOBAL));
            } catch (final Exception e) {
                logger.warn("Failed to process a request.", e);