checkNonnegative(distance, "distance");
    for (long i = 0; i < distance; i++) {
      current = next(current);
      if (current == null) {
        throw new IllegalArgumentException(
            "overflowed computing offset(" + origin + ", " + distance + ")");
      }
    }
    return current;
  }

  /**
   * Returns the unique least value of type {@code C} that is greater than {@code value}, or {@code

  }

  public void testExpandDuringLoading() throws InterruptedException {
    final int count = 3;
    final AtomicInteger callCount = new AtomicInteger();
    // tells the computing thread when to start computing
    final CountDownLatch computeSignal = new CountDownLatch(1);
    // tells the main thread when computation is pending
    final CountDownLatch secondSignal = new CountDownLatch(1);

    assertThrows(UncheckedTimeoutException.class, () -> proxy.sleepThenReturnInput("x"));

    assertThat(stopwatch.elapsed(MILLISECONDS)).isIn(Range.closed(NOT_ENOUGH_MS, DELAY_MS * 2));
    // Is it still computing away anyway?
    assertThat(target.finished).isFalse();
    MILLISECONDS.sleep(ENOUGH_MS);
    assertThat(target.finished).isFalse();
  }

  public void testNewProxy_badMethodWithEnoughTime() throws Exception {

  }

  public void testExpandDuringLoading() throws InterruptedException {
    final int count = 3;
    final AtomicInteger callCount = new AtomicInteger();
    // tells the computing thread when to start computing
    final CountDownLatch computeSignal = new CountDownLatch(1);
    // tells the main thread when computation is pending
    final CountDownLatch secondSignal = new CountDownLatch(1);

    assertThrows(UncheckedTimeoutException.class, () -> proxy.sleepThenReturnInput("x"));

    assertThat(stopwatch.elapsed(MILLISECONDS)).isIn(Range.closed(NOT_ENOUGH_MS, DELAY_MS * 2));
    // Is it still computing away anyway?
    assertThat(target.finished).isFalse();
    MILLISECONDS.sleep(ENOUGH_MS);
    assertThat(target.finished).isFalse();
  }

  public void testNewProxy_badMethodWithEnoughTime() throws Exception {

    checkNonnegative(distance, "distance");
    for (long i = 0; i < distance; i++) {
      current = next(current);
      if (current == null) {
        throw new IllegalArgumentException(
            "overflowed computing offset(" + origin + ", " + distance + ")");
      }
    }
    return current;
  }

  /**
   * Returns the unique least value of type {@code C} that is greater than {@code value}, or {@code

    return entryHelper.newSegment(this, initialCapacity);
  }

  /**
   * Gets the value from an entry. Returns {@code null} if the entry is invalid, partially-collected
   * or computing.
   */
  @CheckForNull
  V getLiveValue(E entry) {
    if (entry.getKey() == null) {
      return null;
    }
    return entry.getValue();
  }

  @SuppressWarnings("unchecked")

   * method is overflow resilient.
   *
   * @since 14.0
   */
  public static int mean(int x, int y) {
    // Efficient method for computing the arithmetic mean.
    // The alternative (x + y) / 2 fails for large values.
    // The alternative (x + y) >>> 1 fails for negative values.
    return (x & y) + ((x ^ y) >> 1);
  }

  /**

    ReferenceEntry<K, V> entry = getReferenceEntry(cache, key);
    if (entry != null) {
      ValueReference<K, V> valueRef = entry.getValueReference();
      // fail on strong/computing refs
      Preconditions.checkState(valueRef instanceof Reference);
      Reference<V> ref = (Reference<V>) valueRef;
      if (ref != null) {
        ref.clear();
      }
    }
  }

  /**

 * indexes} is generally less than the total time taken to compute each of them separately, and
 * sometimes much less. For example, on a large enough dataset, computing the 90th and 99th
 * percentiles together takes about 55% as long as computing them separately.
 *
 * <p>When calling {@link ScaleAndIndex#compute} (in {@linkplain ScaleAndIndexes#compute either