C'est pourquoi il est logique d'utiliser du code asynchrone ⏸🔀⏯ pour des APIs web.

Ce type d'asynchronicité est ce qui a rendu NodeJS populaire (bien que NodeJS ne soit pas parallèle) et c'est la force du Go en tant que langage de programmation.

Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.

labels.fileConfigName=Nom de la configuration d'exploration de fichiers
labels.fileName=Nom de fichier
labels.handlerName=Nom du gestionnaire
labels.handlerParameter=Paramètre
labels.handlerScript=Script
labels.popularWord=Mot populaire
labels.ignoreFailureType=Type d'échec ignoré
labels.lastAccessTime=Heure du dernier accès
labels.notificationTo=Notification à
labels.num=Nombre
labels.pn=Numéro de page
labels.protocolScheme=Schéma

labels.search_result_time=({0} seconden)
labels.prev_page=Vorige
labels.next_page=Volgende
labels.did_not_match=Geen informatie gevonden die overeenkomt met <b>{0}</b>.
labels.search_title=Fess
labels.search_popular_word_word=Populaire woorden:
labels.search_related_queries=Gerelateerde zoekopdrachten:
labels.search_result_select_sort=-  Sorteren  -
labels.search_result_select_num=- Aantal resultaten -
labels.search_result_sort_score_desc=Op score

    /**
     * Builds and populates search form parameters including results per page,
     * label filtering, and sort order based on user preferences and configuration.
     *
     * @param form the search form to populate with parameters
     */
    protected void buildFormParams(final SearchForm form) {

        final HttpSession session = request.getSession(false);
        if (session != null) {

                final long lm = f.lastModified();

                if (lm > lastModified) {
                    lastModified = lm;
                    TAB.clear();
                    alt = 0;
                    populate(new FileReader(f));
                }
                result = (NbtAddress) TAB.get(name);
            }
        } catch (final FileNotFoundException fnfe) {
            if (LogStream.level > 1) {

     * so that it may be included in the list of results. IOW we do
     * not want to create a new NbtAddress object for this particular
     * address from which the query is constructed, we want to populate
     * the data of the existing address that should be one of several
     * returned by the node status.
     */

    NodeStatusResponse(final Configuration cfg, final NbtAddress queryAddress) {
        super(cfg);

        lmhostsFile.setReadable(true);
    }

    @Test
    void testPopulateDirectCall() throws Exception {
        // Test direct populate call for code coverage
        String content = "192.168.1.100 HOST1\n" + "192.168.1.101 HOST2\n";

        lmhosts.populate(new StringReader(content), mockContext);

        // Access the internal table to verify entries were added

                    logger.warn("Failed to generate popular words.", e);
                }

                return wordList;
            });
        } catch (final ExecutionException e) {
            logger.warn("Failed to load popular words.", e);
        }
        return Collections.emptyList();
    }

    /**
     * Clears all cached popular word lists.
     */
    public void clearCache() {

  @JvmStatic // Despite being 'internal', this method is called by popular 3rd party SDKs.
  fun invalidatesCache(method: String): Boolean =
    (
      method == "POST" ||
        method == "PATCH" ||
        method == "PUT" ||
        method == "DELETE" ||
        method == "MOVE"
    )

  @JvmStatic // Despite being 'internal', this method is called by popular 3rd party SDKs.
  fun requiresRequestBody(method: String): Boolean =

                        populate(r, tc);
                    }
                }
                result = this.table.get(name);
            }
        } catch (final IOException fnfe) {
            log.error("Could not read lmhosts " + tc.getConfig().getLmHostsFileName(), fnfe); //$NON-NLS-1$
        }
        return result;
    }

    void populate(final Reader r, final CIFSContext tc) throws IOException {