.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 RANDOM_SOURCE.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;

            params1[i] = random.nextInt();
            params2[i] = random.nextInt();
          } else if (method.getParameterTypes()[i] == long.class) {
            params1[i] = random.nextLong();
            params2[i] = random.nextLong();
          } else {
            fail("Unable to create a random parameter for " + method.getParameterTypes()[i]);
          }
        }

    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);
    }

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

  private static long random() {
    return RANDOM_SOURCE.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

            params1[i] = random.nextInt();
            params2[i] = random.nextInt();
          } else if (method.getParameterTypes()[i] == long.class) {
            params1[i] = random.nextLong();
            params2[i] = random.nextLong();
          } else {
            fail("Unable to create a random parameter for " + method.getParameterTypes()[i]);
          }
        }

    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;

                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);
    }