assertThat(network.nodes()).isEmpty();
      assertThat(network.edges()).isEmpty();
      AbstractNetworkTest.validateNetwork(network);

      while (network.nodes().size() < NUM_NODES) {
        network.addNode(gen.nextInt(NODE_POOL_SIZE));
      }
      ArrayList<Integer> nodeList = new ArrayList<>(network.nodes());
      for (int i = 0; i < NUM_EDGES; ++i) {
        // Parallel edges are allowed, so this should always succeed.

      assertThat(graph.nodes()).isEmpty();
      assertThat(graph.edges()).isEmpty();
      AbstractGraphTest.validateGraph(graph);

      while (graph.nodes().size() < NUM_NODES) {
        graph.addNode(gen.nextInt(NODE_POOL_SIZE));
      }
      ArrayList<Integer> nodeList = new ArrayList<>(graph.nodes());
      while (graph.edges().size() < NUM_EDGES) {

                public Long call() {
                  long threadSum = 0;
                  for (int j = 0; j < getsPerTask; j++) {
                    long delta = random.nextInt(deltaRange);
                    int behavior = random.nextInt(10);
                    switch (behavior) {
                      case 0:
                        map.incrementAndGet(key);
                        threadSum++;

      for (int i = 0; i < iterations; i++) {
        int keyIndex = random.nextInt(nKeys);
        String key = keys.get(keyIndex);
        Operation op = operations[random.nextInt(operations.length)];
        switch (op) {
          case ADD:
            {
              int delta = random.nextInt(10);
              multiset.add(key, delta);
              deltas[keyIndex] += delta;
              break;

    // TODO(kevinb): generate better test contents for multisets
    while (sizeRemaining > 0) {
      // The JVM will return interned values for small ints.
      Integer value = random.nextInt(1000) + 128;
      int count = min(random.nextInt(10) + 1, sizeRemaining);
      sizeRemaining -= count;
      hashMultiset.add(value, count);
      linkedHashMultiset.add(value, count);
      treeMultiset.add(value, count);
    }

        long num = random.nextInt(10);
        for (int i = 0; i < num; i++) {
          list.add(counter.getAndIncrement());
        }
        builder.addAll(list);
      }
    },
    ADD_ITERABLE {
      @Override
      void doIt(ImmutableLongArray.Builder builder, AtomicLong counter) {
        List<Long> list = new ArrayList<>();
        long num = random.nextInt(10);
        for (int i = 0; i < num; i++) {

      longs[i] = RANDOM_SOURCE.nextLong();
      factorialArguments[i] = RANDOM_SOURCE.nextInt(30);
      binomialArguments[i][1] = RANDOM_SOURCE.nextInt(MathBenchmarking.biggestBinomials.length);
      int k = binomialArguments[i][1];
      binomialArguments[i][0] = RANDOM_SOURCE.nextInt(MathBenchmarking.biggestBinomials[k] - k) + k;
    }
  }

  @Benchmark
  int pow(int reps) {
    int tmp = 0;

    double result = RANDOM_SOURCE.nextDouble();
    result = Math.scalb(result, RANDOM_SOURCE.nextInt(maxExponent + 1));
    return RANDOM_SOURCE.nextBoolean() ? result : -result;
  }

  /** Returns a random integer between zero and {@code MAX_EXPONENT}. */
  static int randomExponent() {
    return RANDOM_SOURCE.nextInt(MAX_EXPONENT + 1);
  }

  static double randomPositiveDouble() {

    constant = new int[SAMPLE_SIZE];
    for (int i = 0; i < SAMPLE_SIZE; i++) {
      xInts[i] = random.nextInt(Integer.MAX_VALUE);
      yInts[i] = random.nextInt(Integer.MAX_VALUE);
      xLongs[i] = random.nextLong() & NONNEGATIVE_LONG_MASK;
      yLongs[i] = random.nextLong() & NONNEGATIVE_LONG_MASK;
      constant[i] = random.nextInt();
    }
  }

  @Benchmark
  int branchFreeLtIntInlined(int reps) {
    int tmp = 0;

        }
      } while (!Impl.GUAVA.noMulOverflow(longsToMul[i][0], longsToMul[i][1]));

      int k = binomials[i][1] = RANDOM_SOURCE.nextInt(MathBenchmarking.biggestBinomials.length);
      binomials[i][0] = RANDOM_SOURCE.nextInt(MathBenchmarking.biggestBinomials[k] - k) + k;
    }
  }

  @Benchmark
  long factorialDouble(int reps) {
    long tmp = 0;
    for (int i = 0; i < reps; i++) {