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

    public 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);
      }
    }

    public 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() {

    "46341", "92682", "185364", "370728", "741455", "1482910", "2965821", "5931642"
  })
  private int size;

  // "" means no fixed seed
  @Param("1234")
  private SpecialRandom random;

  @Param({"ImmutableSetImpl", "HashSetImpl"})
  private SetImpl impl;

  // the following must be set during setUp
  private Set<Element> setToTest;

    "46341", "92682", "185364", "370728", "741455", "1482910", "2965821", "5931642"
  })
  private int size;

  // "" means no fixed seed
  @Param("1234")
  private SpecialRandom random;

  @Param({"ImmutableSetImpl", "HashSetImpl"})
  private SetImpl impl;

  // the following must be set during setUp
  private Set<Element> setToTest;

 *
 * <p>Parameters for the benchmark are:
 *
 * <ul>
 *   <li>size: The length of the byte array to hash.
 * </ul>
 *
 * @author Colin Decker
 */
public class ChecksumBenchmark {

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

  @Param({"10", "1000", "100000", "1000000"})
  private int size;

  @Param boolean noWorkToDo;

  Random random;
  String testString;

  @BeforeExperiment
  void setUp() {
    random = new Random(0xdeadbeef); // fix the seed so results are comparable across runs

    int nonAlpha = size / nonAlphaRatio;
    int alpha = size - nonAlpha;

    List<Character> chars = Lists.newArrayListWithCapacity(size);
    for (int i = 0; i < alpha; i++) {

	return
}

func RunMigrations() {
	var err error
	allModels := []interface{}{&User{}, &Account{}, &Pet{}, &Company{}, &Toy{}, &Language{}, &Coupon{}, &CouponProduct{}, &Order{}, &Parent{}, &Child{}, &Tools{}}
	rand.Seed(time.Now().UnixNano())
	rand.Shuffle(len(allModels), func(i, j int) { allModels[i], allModels[j] = allModels[j], allModels[i] })

	DB.Migrator().DropTable("user_friends", "user_speaks")

    testNetworkMutation(NetworkBuilder.undirected());
  }

  private static void testNetworkMutation(NetworkBuilder<? super Integer, Object> networkBuilder) {
    Random gen = new Random(42); // Fixed seed so test results are deterministic.

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableNetwork<Integer, Object> network =
          networkBuilder.allowsParallelEdges(true).allowsSelfLoops(true).build();

  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();

    testNetworkMutation(NetworkBuilder.undirected());
  }

  private static void testNetworkMutation(NetworkBuilder<? super Integer, Object> networkBuilder) {
    Random gen = new Random(42); // Fixed seed so test results are deterministic.

    for (int trial = 0; trial < NUM_TRIALS; ++trial) {
      MutableNetwork<Integer, Object> network =
          networkBuilder.allowsParallelEdges(true).allowsSelfLoops(true).build();