*   <li>Building the query and filter query for the suggestion request.</li>
 *   <li>Processing the request and handling the response or failure.</li>
 *   <li>Creating the response from the search results.</li>
 * </ul>
 *
 * <p>Example usage:</p>
 * <pre>
 * SuggestRequest suggestRequest = new SuggestRequest();
 * suggestRequest.setIndex("my_index");
 * suggestRequest.setQuery("example query");

import org.opensearch.search.SearchHit;

/**
 * Utility class for search engine operations and content formatting.
 * Provides helper methods for working with XContent builders, scrolling through search results,
 * and converting XContent objects to different output formats.
 */
public final class SearchEngineUtil {

    private static final Logger logger = LogManager.getLogger(SearchEngineUtil.class);

    /**

   * edges". For that functionality, see {@link Graphs#reachableNodes(Graph, Object)}.
   *
   * <p>Some algorithms that operate on a {@code SuccessorsFunction} may produce undesired results
   * if the returned {@link Iterable} contains duplicate elements. Implementations of such
   * algorithms should document their behavior in the presence of duplicates.
   *

/// info

Notice that we are only declaring one dependency in the *path operation function*, the `query_or_cookie_extractor`.

But **FastAPI** will know that it has to solve `query_extractor` first, to pass the results of that to `query_or_cookie_extractor` while calling it.

///

```mermaid
graph TB

query_extractor(["query_extractor"])
query_or_cookie_extractor(["query_or_cookie_extractor"])

read_query["/items/"]

    private final byte[] macAddress;
    private byte[] stats;

    NbtAddress[] addressArray;

    /* It is a little awkward but prudent to pass the quering address
     * 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

   */
  @CanIgnoreReturnValue
  @Nullable V forcePut(@ParametricNullness K key, @ParametricNullness V value);

  // Bulk Operations

  /**
   * {@inheritDoc}
   *
   * <p><b>Warning:</b> the results of calling this method may vary depending on the iteration order
   * of {@code map}.
   *
   * @throws IllegalArgumentException if an attempt to {@code put} any entry fails. Note that some

		b := []byte(tt.s)
		a := Fields(b)

		// Appending to the results should not change future results.
		var x []byte
		for _, v := range a {
			x = append(v, 'z')
		}

		result := sliceOfString(a)
		if !slices.Equal(result, tt.a) {
			t.Errorf("Fields(%q) = %v; want %v", tt.s, a, tt.a)
			continue
		}

		result2 := sliceOfString(collect(t, FieldsSeq([]byte(tt.s))))

    result = hash128to64(result + v, u);
    return result == 0 || result == 1 ? result + ~1 : result;
  }

  private static long shiftMix(long val) {
    return val ^ (val >>> 47);
  }

  /** Implementation of Hash128to64 from util/hash/hash128to64.h */
  @VisibleForTesting
  static long hash128to64(long high, long low) {
    long a = (low ^ high) * K3;
    a ^= a >>> 47;

    private byte[] stats;

    NbtAddress[] addressArray;

    /*
     * It is a little awkward but prudent to pass the quering address
     * 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

import org.opensearch.index.query.QueryShardContext;

/**
 * A query builder for a stored LTR (Learning to Rank) query.
 * This builder constructs a query that uses a pre-trained LTR model
 * to re-rank search results based on a given set of features.
 */
public class StoredLtrQueryBuilder extends AbstractQueryBuilder<StoredLtrQueryBuilder> implements NamedWriteable {
    /** The name of the query. */