public int hashCode() {
    int hashCode = 1;
    int n = size();
    for (int i = 0; i < n; i++) {
      hashCode = 31 * hashCode + get(i).hashCode();

      hashCode = ~~hashCode;
      // needed to deal with GWT integer overflow
    }
    return hashCode;
  }

  /*
   * Serializes ImmutableLists as their logical contents. This ensures that

   *
   * if (guardExpression) {
   *    throw new BadException(badMsg(...));
   * }
   *
   * The alternative natural refactorings into void or Exception-returning methods are much slower.
   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *

      throw new InterruptedException();
    }
    Object localValue = value;
    if (localValue != null & !(localValue instanceof SetFuture)) {
      return getDoneValue(localValue);
    }
    // we delay calling nanoTime until we know we will need to either park or spin
    final long endNanos = remainingNanos > 0 ? System.nanoTime() + remainingNanos : 0;
    long_wait_loop:
    if (remainingNanos >= SPIN_THRESHOLD_NANOS) {

    int hashCode = 1;
    for (Object o : list) {
      hashCode = 31 * hashCode + (o == null ? 0 : o.hashCode());

      hashCode = ~~hashCode;
      // needed to deal with GWT integer overflow
    }
    return hashCode;
  }

  /** An implementation of {@link List#equals(Object)}. */
  static boolean equalsImpl(List<?> thisList, @CheckForNull Object other) {

      HashMap<Object, Object> map1,
      HashMap<Object, Object> map2)
      throws Exception {
    // Only start measuring table size after the first element inserted, to
    // deal with empty-map optimization.
    map1.put(0, null);

    int initialBuckets = bucketsOf(map1);

    for (int i = 1; i < size; i++) {
      map1.put(i, null);
    }

      HashMap<Object, Object> map1,
      HashMap<Object, Object> map2)
      throws Exception {
    // Only start measuring table size after the first element inserted, to
    // deal with empty-map optimization.
    map1.put(0, null);

    int initialBuckets = bucketsOf(map1);

    for (int i = 1; i < size; i++) {
      map1.put(i, null);
    }

    }

    @Override
    public ListenableScheduledFuture<?> schedule(Runnable command, long delay, TimeUnit unit) {
      TrustedListenableFutureTask<@Nullable Void> task =
          TrustedListenableFutureTask.create(command, null);
      ScheduledFuture<?> scheduled = delegate.schedule(task, delay, unit);
      return new ListenableScheduledTask<@Nullable Void>(task, scheduled);
    }

    @Override

    List<T> list = Arrays.asList(strictlyOrderedElements);

    // for use calling Collection.toArray later
    T[] emptyArray = Platform.newArray(strictlyOrderedElements, 0);

    // shoot me, but I didn't want to deal with wildcards through the whole test
    @SuppressWarnings("unchecked")
    Scenario<T> starter = new Scenario<>((Ordering<T>) ordering, list, emptyArray);
    verifyScenario(starter, 0);
  }

    List<T> list = Arrays.asList(strictlyOrderedElements);

    // for use calling Collection.toArray later
    T[] emptyArray = Platform.newArray(strictlyOrderedElements, 0);

    // shoot me, but I didn't want to deal with wildcards through the whole test
    @SuppressWarnings("unchecked")
    Scenario<T> starter = new Scenario<>((Ordering<T>) ordering, list, emptyArray);
    verifyScenario(starter, 0);
  }

      // It's a weird formula, but tests prove it works.
      int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;
        // in GWT, we have to deal with integer overflow carefully
      }
      int hash = 1;
      for (Set<E> axis : axes) {
        hash = 31 * hash + (size() / axis.size() * axis.hashCode());

        hash = ~~hash;
      }