defer close(stream.Requests)
		for i := range payloads {
			// t.Log("sending new client request")
			stream.Requests <- &testRequest{Num: i, String: testPayload}
		}
	}()
	var n int
	err = stream.Results(func(resp *testResponse) error {
		const wantString = testPayload + testPayload
		if resp.OrgString != testPayload+testPayload {
			t.Errorf("want %q, got %q", wantString, resp.OrgString)
		}
		if resp.OrgNum != n+1 {

	Requests chan<- Req
}

// Results returns the results from the remote server one by one.
// If any error is returned by the callback, the stream will be canceled.
// If the context is canceled, the stream will be canceled.
func (s *TypedStream[Req, Resp]) Results(next func(resp Resp) error) (err error) {
	return s.responses.Results(func(b []byte) error {
		resp := s.newResp()

  /**
   * Verify that the listener completes in a reasonable amount of time, and Asserts that the future
   * returns the expected data.
   *
   * @throws Throwable if the listener isn't called or if it resulted in a throwable or if the
   *     result doesn't match the expected value.
   */
  public void assertSuccess(Object expectedData) throws Throwable {
    // Verify that the listener executed in a reasonable amount of time.

 * This class extends ArrayList to hold document maps while tracking content size
 * and processing time metrics. It's used throughout the Fess search system to
 * manage collections of search results and crawled documents.
 *
 */
public class DocList extends ArrayList<Map<String, Object>> {

    /** Serial version UID for serialization */
    private static final long serialVersionUID = 1L;

        // Execute the job multiple times
        String result1 = purgeDocJob.execute();

        // Reset the flag
        deleteByQueryCalled = false;

        String result2 = purgeDocJob.execute();

        // Assert both executions were successful
        assertEquals("", result1);
        assertEquals("", result2);
        assertTrue(deleteByQueryCalled);
    }

    @Test

				joinFieldValues[idx], _ = field.ValueOf(tx.Statement.Context, joinIndexValue)
			}

			if results, ok := joinIdentityMap[utils.ToStringKey(fieldValues...)]; ok {
				joinKey := utils.ToStringKey(joinFieldValues...)
				identityMap[joinKey] = append(identityMap[joinKey], results...)
			}
		}

		_, foreignValues = schema.GetIdentityFieldValuesMap(tx.Statement.Context, joinResults, joinRelForeignFields)

 *   <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");

 *
 * <p>The definition of the kth q-quantile of N values is as follows: define x = k * (N - 1) / q; if
 * x is an integer, the result is the value which would appear at index x in the sorted dataset
 * (unless there are {@link Double#NaN NaN} values, see below); otherwise, the result is the average
 * of the values which would appear at the indexes floor(x) and ceil(x) weighted by (1-frac(x)) and

 * as a {@code List}:
 *
 * {@snippet :
 * ImmutableList<String> results =
 *     FluentIterable.from(database.getClientList())
 *         .filter(Client::isActiveInLastMonth)
 *         .transform(Object::toString)
 *         .limit(10)
 *         .toList();
 * }
 *
 * The approximate stream equivalent is:
 *
 * {@snippet :
 * List<String> results =
 *     database.getClientList()
 *         .stream()

 * as a {@code List}:
 *
 * {@snippet :
 * ImmutableList<String> results =
 *     FluentIterable.from(database.getClientList())
 *         .filter(Client::isActiveInLastMonth)
 *         .transform(Object::toString)
 *         .limit(10)
 *         .toList();
 * }
 *
 * The approximate stream equivalent is:
 *
 * {@snippet :
 * List<String> results =
 *     database.getClientList()
 *         .stream()