*
   * @since 23.1
   */
  public static void sortDescending(byte[] array, int fromIndex, int toIndex) {
    checkNotNull(array);
    checkPositionIndexes(fromIndex, toIndex, array.length);
    Arrays.sort(array, fromIndex, toIndex);
    Bytes.reverse(array, fromIndex, toIndex);
  }

      Iterable<? extends E> elements) {
    Comparable<?>[] array = Iterables.toArray(elements, new Comparable<?>[0]);
    checkElementsNotNull((Object[]) array);
    Arrays.sort(array);
    return asImmutableList(array);
  }

  /**
   * Returns an immutable list containing the given elements, in sorted order relative to the

}

// sortByModTime will sort versions by modtime in descending order,
// meaning index 0 will be latest version.
func (x *xlMetaV2) sortByModTime() {
	// Quick check
	if len(x.versions) <= 1 || sort.SliceIsSorted(x.versions, func(i, j int) bool {
		return x.versions[i].header.sortsBefore(x.versions[j].header)
	}) {
		return
	}

	// We should sort.
	sort.Slice(x.versions, func(i, j int) bool {

   * "two"=2, "three"=3}, and {@code keySet()} and {@code values()} respect the same order. If you
   * want a different order, consider using {@link #orderEntriesByValue(Comparator)}, which changes
   * this builder to sort entries by value.
   *
   * <p>Builder instances can be reused - it is safe to call {@link #buildOrThrow} multiple times to
   * build multiple bimaps in series. Each bimap is a superset of the bimaps created before it.
   *

  private static long fingerprint(byte[] bytes, int length) {
    return HASH_FN.hashBytes(bytes, 0, length).asLong();
  }

  /**
   * Tests that the Java port of FarmHashFingerprint64 provides the same results on buffers up to
   * 800 bytes long as the C++ reference implementation.
   */
  public void testMultipleLengths() {
    int iterations = 800;

import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;
import org.opensearch.index.query.functionscore.ScoreFunctionBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.sort.SortOrder;

public class SuggestRequest extends Request<SuggestResponse> {
    private String index = null;

    private String query = "";

    private int size = 10;

Ainsi, j'ai pu trouver les meilleurs moyens de réduire autant que possible la duplication du code, d'avoir la complétion partout, les contrôles de type et d'erreur, etc.

Le tout de manière à offrir la meilleure expérience de développement à tous les développeurs.

## Exigences

import org.opensearch.client.Client;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.sort.SortBuilder;

public class ESSourceReader implements DocumentReader {
    private static final Logger logger = LogManager.getLogger(ESSourceReader.class);

			Type:        "sentence",
		},
	}

	HelpPostgres = config.HelpKVS{
		config.HelpKV{
			Key:         target.PostgresConnectionString,
			Description: `Postgres server connection-string e.g. "host=localhost port=5432 dbname=minio_events user=postgres password=password sslmode=disable"`,
			Type:        "string",
			Sensitive:   true,
		},
		config.HelpKV{
			Key:         target.PostgresTable,

```Python hl_lines="26-33"
{!../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

/// tip | "Astuce"

Ici, nous réutilisons le même modèle Pydantic.

Mais nous aurions pu tout aussi bien pu le valider d'une autre manière.