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 {

     * a regex pattern matches the query.
     */
    protected String queryPlaceHolder = "__QUERY__";

    /**
     * Initializes the RelatedContentHelper by loading related content configurations
     * from the data store. This method is called automatically after dependency
     * injection is complete.
     *
     * PostConstruct annotation ensures this method is called after the bean

            return null;
        }).orElseGet(() -> {
            throwValidationErrorApi(messages -> messages.addErrorsCrudFailedToCreateInstance(GLOBAL));
            return null;
        });
        synonymService.store(body.dictId, entity);
        return asJson(
                new ApiResult.ApiUpdateResponse().id(String.valueOf(entity.getId())).created(true).status(ApiResult.Status.OK).result());
    }

    /**

        }
    }

    @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

        assertEquals(800, cmd.maxDataCount, "maxDataCount should be 800");
        assertEquals(0, cmd.maxSetupCount, "maxSetupCount should be 0");
        // ensure information level is stored using reflection
        Field informationLevelField = Trans2QueryFSInformation.class.getDeclaredField("informationLevel");
        informationLevelField.setAccessible(true);

Pour comprendre comment mettre en place ce parallélisme en production, allez lire la section [Déploiement](deployment/index.md){.internal-link target=_blank}.

## `async` et `await`

        validateAttributes(form.attributes, v -> throwValidationError(v, this::asEditHtml));
        verifyToken(this::asEditHtml);
        getGroup(form).ifPresent(entity -> {
            try {
                groupService.store(entity);
                saveInfo(messages -> messages.addSuccessCrudCreateCrudTable(GLOBAL));
            } catch (final Exception e) {
                logger.warn("Failed to add {}", entity, e);

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