.exists("exists" + Long.toHexString(entropy.nextLong()))
                .missing("missing" + Long.toHexString(entropy.nextLong()))
                .build();
        ActivationProperty ap = ActivationProperty.newBuilder()
                .name("name" + Long.toHexString(entropy.nextLong()))
                .value("value" + Long.toHexString(entropy.nextLong()))
                .build();

      tmp += UnsignedLongs.toString(x, 16).length();
      tmp += UnsignedLongs.toString(x, 2).length();
    }
    return tmp;
  }

  private static long random() {
    return randomSource.nextLong();
  }

  // A random value that cannot be 0 and that is unsigned-less-than or equal
  // to the given dividend, so that we don't have half of our divisions being

    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;

      tmp += UnsignedLongs.toString(x, 16).length();
      tmp += UnsignedLongs.toString(x, 2).length();
    }
    return tmp;
  }

  private static long random() {
    return randomSource.nextLong();
  }

  // A random value that cannot be 0 and that is unsigned-less-than or equal
  // to the given dividend, so that we don't have half of our divisions being

                if (logger.isDebugEnabled()) {
                    logger.debug("Failed to select a job by {}", id, e);
                }
                lastException = e;
                ThreadUtil.sleep(RandomUtils.nextLong(500, 5000));
            }
        }
        logger.warn("Failed to select a job by {}", id, lastException);
        return OptionalEntity.empty();
    }

    for (int i = 0; i < ARRAY_SIZE; i++) {
      positive[i] = randomPositiveBigInteger(Long.SIZE - 2).longValue();
      nonzero[i] = randomNonZeroBigInteger(Long.SIZE - 2).longValue();
      longs[i] = RANDOM_SOURCE.nextLong();
    }
  }

  @Benchmark
  int log2(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;
      tmp += LongMath.log2(positive[j], mode);
    }

    PrimitiveIterator.OfLong longIterator =
        (PrimitiveIterator.OfLong) ImmutableLongArray.of(1, 2, 3).asList().iterator();
    assertThat(longIterator.nextLong()).isEqualTo(1);
    assertThat(longIterator.nextLong()).isEqualTo(2);
    assertThat(longIterator.nextLong()).isEqualTo(3);
    assertThat(longIterator.hasNext()).isFalse();
  }

  public void testCopyOf_array_empty() {
    /*

      exponents[i] = randomExponent();
      positive[i] = randomPositiveBigInteger(Long.SIZE - 1).longValue();
      nonnegative[i] = randomNonNegativeBigInteger(Long.SIZE - 1).longValue();
      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];

          sink.putInt(value);
        }
      }
    },
    PUT_LONG() {
      @Override
      void performAction(Random random, Iterable<? extends PrimitiveSink> sinks) {
        long value = random.nextLong();
        for (PrimitiveSink sink : sinks) {
          sink.putLong(value);
        }
      }
    },
    PUT_FLOAT() {
      @Override

  }

  public void testIteratorTesterLarger() throws Exception {
    runIterator(Lists.newArrayList(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), 5);
  }

  public void testRemoveAt() {
    long seed = new Random().nextLong();
    Random random = new Random(seed);
    int heapSize = 999;
    int numberOfModifications = reduceIterationsIfGwt(500);
    MinMaxPriorityQueue<Integer> mmHeap =