} catch (NoSuchAlgorithmException e) {
        throw new AssertionError(e);
      }
    }

    HashFunction getHashFunction() {
      return hashFn;
    }
  }

  // Use a constant seed for all of the benchmarks to ensure apples to apples comparisons.
  private static final int RANDOM_SEED = new Random().nextInt();

  private byte[] testBytes;

  @BeforeExperiment
  void setUp() {

      } catch (NoSuchAlgorithmException e) {
        throw new AssertionError(e);
      }
    }

    HashFunction getHashFunction() {
      return hashFn;
    }
  }

  // Use a constant seed for all of the benchmarks to ensure apples to apples comparisons.
  private static final int RANDOM_SEED = new Random().nextInt();

  private byte[] testBytes;

  @BeforeExperiment
  void setUp() {

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

  public void undirectedGraph() {
    testGraphMutation(GraphBuilder.undirected());
  }

  private static void testGraphMutation(GraphBuilder<? super Integer> graphBuilder) {
    Random gen = new Random(42); // Fixed seed so test results are deterministic.

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableGraph<Integer> graph = graphBuilder.allowsSelfLoops(true).build();

      assertThat(graph.nodes()).isEmpty();

                });

    // To start, fill up the cache.
    // Each miss both increments the counter and causes the map to grow by one,
    // so until evictions begin, the size of the map is the greatest return
    // value seen so far
    while (cache.getUnchecked(nextRandomKey()) < maximumSize) {}

    requests.set(0);
    misses.set(0);
  }

  @Benchmark
  int time(int reps) {
    int dummy = 0;

                            new FunctionScoreQueryBuilder.FilterFunctionBuilder[] { new FunctionScoreQueryBuilder.FilterFunctionBuilder(
                                    new RandomScoreFunctionBuilder().seed(sessionId.hashCode())) }),
                    0, pollingFetchSize, SortBuilders.scoreSort().order(SortOrder.DESC));
        } else if (!ORDER_SEQUENTIAL.equals(crawlOrder)) {

    public String toString() {
      return standardToString();
    }

    @Override
    public boolean offer(T o) {
      return standardOffer(o);
    }

    @Override
    public @Nullable T peek() {
      return standardPeek();
    }

    @Override
    public @Nullable T poll() {
      return standardPoll();
    }
  }

  @AndroidIncompatible // test-suite builders

    WEEKLY_VALIDATION(
        "Weekly Validation",
        "Once a week: Run tests in even more environments but less often",
        "WeeklyValidation",
    ),
    HISTORICAL_PERFORMANCE(
        "Historical Performance",
        "Once a week: Run performance tests for multiple Gradle versions",
        "HistoricalPerformance",
    ),
    ;

    val id: String

    trailersWithServerTruncatedResponse(Protocol.HTTP_2)
  }

  /**
   * If the server closes the connection while the client is consuming the response body, attempts
   * to peek or read the trailers should throw.
   */
  private fun trailersWithServerTruncatedResponse(protocol: Protocol) {
    val responseBody = "a".repeat(OKHTTP_CLIENT_WINDOW_SIZE)
    enableProtocol(protocol)

    checkNotNull(valuesFunction);
    return collectingAndThen(
        flatteningToMultimap(
            input -> checkNotNull(keyFunction.apply(input)),
            input -> valuesFunction.apply(input).peek(Preconditions::checkNotNull),
            MultimapBuilder.linkedHashKeys().arrayListValues()::<K, V>build),
        ImmutableListMultimap::copyOf);
  }

  static <T extends @Nullable Object, K, V>