.prepareIndex()
                .setIndex(suggester.settings().analyzer().getAnalyzerSettingsIndexName())
                .setSource(analyzerMapping)
                .setRefreshPolicy(WriteRequest.RefreshPolicy.WAIT_UNTIL)
                .execute()
                .actionGet();
        suggester.settings().analyzer().init();

        SuggestSettings settings = suggester.settings();

                });
            }

            executor.shutdown();
            assertTrue(executor.awaitTermination(30, TimeUnit.SECONDS), "All threads should complete within timeout");

            // Analyze timing consistency across threads
            if (!timings.isEmpty()) {
                double avgTime = timings.stream().mapToLong(Long::longValue).average().orElse(0.0);

What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined.

If you pass a "callable" as a dependency in **FastAPI**, it will analyze the parameters for that "callable", and process them in the same way as the parameters for a *path operation function*. Including sub-dependencies.

            associated with a Maven project can lack a file. As such, this annotation is meant for Mojos that only
            want to analyze the set of transitive dependencies, in particular during early lifecycle phases where
            full dependency resolution might fail due to projects which haven't been built yet.
          </description>
        </field>

          "token_chars": []
        },
        "bigram_tokenizer": {
          "type": "ngram",
          "min_gram": 2,
          "max_gram": 2,
          "token_chars": []
        }
      },
      "analyzer": {
        "arabic_analyzer": {
          "type": "custom",
          "tokenizer": "standard",
          "filter": [
            "truncate20_filter",
            "lowercase",
            "arabic_stop",

/// tip | Astuce

Le fait que ce soit du **Python standard** signifie que vous bénéficierez toujours de la **meilleure expérience développeur possible** dans votre éditeur, avec les outils que vous utilisez pour analyser et refactoriser votre code, etc. ✨

Et aussi que votre code sera très compatible avec de nombreux autres outils et bibliothèques Python. 🚀

///

## Annotations de type dans **FastAPI** { #type-hints-in-fastapi }

Later you will see how **powerful** it can be.

/// tip

The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨

And also that your code will be very compatible with many other Python tools and libraries. 🚀

///

## Type hints in **FastAPI** { #type-hints-in-fastapi }

important to a subset of users, especially if it requires extra dependencies.

The canonical example of this is the ICU analysis plugin. It is important for
folks who want the fairly language neutral ICU analyzer but the library to
implement the analyzer is 11MB so we don't ship it with Elasticsearch by
default.

Another example is the `discovery-gce` plugin. It is *vital* to folks running

# Additional facet fields for queries.
query.additional.facet.fields=
# Additional sort fields for queries.
query.additional.sort.fields=
# Additional analyzed fields for queries.
query.additional.analyzed.fields=
# Additional not-analyzed fields for queries.
query.additional.not.analyzed.fields=
# Fields for GSA response in queries.
query.gsa.response.fields=UE,U,T,RK,S,LANG
# Default language for GSA queries.
query.gsa.default.lang=en

    }

    /**
     * Determines the configuration type from a given config ID.
     * The config type is identified by the first character of the config ID.
     *
     * @param configId the configuration ID to analyze
     * @return the ConfigType (WEB, FILE, or DATA) or null if the config ID is invalid or doesn't match any known type
     */
    public ConfigType getConfigType(final String configId) {