import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder.FilterFunctionBuilder;
import org.opensearch.search.sort.SortBuilder;

/**
 * Context object that holds query-related information and state during search processing.
 * Contains the query string, query builder, sort criteria, and various metadata.
 */
public class QueryContext {

    /** Prefix for queries that search only in URL fields. */

   */
  private static long hashLength65Plus(byte[] bytes, int offset, int length) {
    int seed = 81;
    // For strings over 64 bytes we loop. Internal state consists of 56 bytes: v, w, x, y, and z.
    long x = seed;
    @SuppressWarnings("ConstantOverflow")
    long y = seed * K1 + 113;
    long z = shiftMix(y * K2 + 113) * K2;
    long[] v = new long[2];

      b.append(longBitsToDouble(longs.get(i)));
      if (i == iMax) {
        return b.append(']').toString();
      }
      b.append(',').append(' ');
    }
  }

  /**
   * Saves the state to a stream (that is, serializes it).
   *
   * @serialData The length of the array is emitted (int), followed by all of its elements (each a
   *     {@code double}) in the proper order.
   */

				continue
			}

			if rcfg, _ := globalBucketObjectLockSys.Get(bucket); rcfg.LockEnabled && v.Suspended() {
				rpt.SetStatus(bucket, fileName, fmt.Errorf("An Object Lock configuration is present on this bucket, so the versioning state cannot be suspended."))
				continue
			}

            result.setRoles(toStringArray(source.get("roles")));
            result.setRoomNumber(DfTypeUtil.toString(source.get("roomNumber")));
            result.setState(DfTypeUtil.toString(source.get("state")));
            result.setStreet(DfTypeUtil.toString(source.get("street")));
            result.setSurname(DfTypeUtil.toString(source.get("surname")));

    try {
      t.join(timeoutMillis);
    } catch (InterruptedException ie) {
      threadUnexpectedException(ie);
    } finally {
      if (t.getState() != Thread.State.TERMINATED) {
        t.interrupt();
        fail("Test timed out");
      }
    }
  }

  /**
   * Waits for LONG_DELAY_MS milliseconds for the thread to terminate (using {@link

		// call will report top level prefixes in deleted state, whereas spark/hadoop interpret this as non-empty
		// and throw a 404 exception. This is especially a problem for spark jobs overwriting the same partition
		// repeatedly. This workaround recursively lists the top 3 entries including delete markers to reflect the
		// correct state of the directory in the list results.

labels.destinationIndicator=Destination Indicator
labels.user_internationaliSDNNumber=International ISDN Number
labels.internationaliSDNNumber=International ISDN Number
labels.user_state=State
labels.state=State
labels.user_employeeType=Employee Type
labels.employeeType=Employee Type
labels.user_facsimileTelephoneNumber=Facsimile Telephone Number
labels.facsimileTelephoneNumber=Facsimile Telephone Number

    }

    @Test
    public void test_getXContentBuilderOutputStream_ioException() {
        XContentBuilderCallback callback = (builder, params) -> {
            // Simulate IOException by creating invalid state
            throw new IOException("Test exception");
        };

        OutputStream outputStream = SearchEngineUtil.getXContentBuilderOutputStream(callback, XContentType.JSON);
        assertNotNull(outputStream);

            """
            Exclude from the output any fields that start with the name `_sa`.

            This is mainly a hack for compatibility with SQLAlchemy objects, they
            store internal SQLAlchemy-specific state in attributes named with `_sa`,
            and those objects can't (and shouldn't be) serialized to JSON.
            """
        ),
    ] = True,
) -> Any:
    """