if (hashTable != null && chooseTableSize(size) == hashTable.length) {
            @Nullable Object[] uniqueElements =
                shouldTrim(size, contents.length) ? Arrays.copyOf(contents, size) : contents;
            result =
                new RegularImmutableSet<E>(
                    uniqueElements, hashCode, hashTable, hashTable.length - 1, size);
          } else {

        assertEquals(0, list.size());
        assertTrue(list.isEmpty());
    }

    @Test
    public void test_selectList_negativeOffset() {
        // Load data first
        protwordsFile.reload(null);

        // Test with negative offset
        PagingList<ProtwordsItem> list = protwordsFile.selectList(-1, 10);
        assertEquals(0, list.size());
    }

    @Test

   * them until they are needed.  When there is no contention, all
   * updates are made to the base field.  Upon first contention (a
   * failed CAS on base update), the table is initialized to size 2.
   * The table size is doubled upon further contention until
   * reaching the nearest power of two greater than or equal to the
   * number of CPUS. Table slots remain empty (null) until they are
   * needed.
   *

   * size() as a hint only.
   *
   * @param delta the difference between the true size of the collection and the values returned by
   *     the size method
   */
  public static <T extends @Nullable Object> Collection<T> misleadingSizeCollection(int delta) {
    // It would be nice to be able to return a real concurrent
    // collection like ConcurrentLinkedQueue, so that e.g. concurrent

  }

  private static <K, V> ImmutableMap<K, V> fromEntryList(
      boolean throwIfDuplicateKeys, Collection<? extends Entry<? extends K, ? extends V>> entries) {
    int size = entries.size();
    switch (size) {
      case 0:
        return of();
      case 1:
        Entry<? extends K, ? extends V> entry = getOnlyElement(entries);
        return of((K) entry.getKey(), (V) entry.getValue());

        this.existNextPage = existNextPage;
    }

    /**
     * Gets the number of records per page.
     * If page size is not set or is invalid, returns the default page size.
     *
     * @return the page size
     */
    public int getPageSize() {
        if (pageSize <= 0) {
            pageSize = getDefaultPageSize();
        }
        return pageSize;
    }

      ImmutableSet<C> columnSpace) {
    // use a dense table if more than half of the cells have values
    // TODO(gak): tune this condition based on empirical evidence
    return (cellList.size() > (((long) rowSpace.size() * columnSpace.size()) / 2))
        ? new DenseImmutableTable<R, C, V>(cellList, rowSpace, columnSpace)
        : new SparseImmutableTable<R, C, V>(cellList, rowSpace, columnSpace);
  }

  /**

indexer.webfs.update.interval=10000
# Maximum document cache size for webfs in the indexer.
indexer.webfs.max.document.cache.size=10
# Maximum document request size (bytes) for webfs in the indexer.
indexer.webfs.max.document.request.size=1048576
# Maximum document cache size for data in the indexer.
indexer.data.max.document.cache.size=10000
# Maximum document request size (bytes) for data in the indexer.

    // targets.size() < size() / log(size())
    // TODO(kevinb): see if we can share code with OrderedIterator after it
    // graduates from labs.
    if (targets instanceof Multiset) {
      targets = ((Multiset<?>) targets).elementSet();
    }
    if (!SortedIterables.hasSameComparator(comparator(), targets) || (targets.size() <= 1)) {
      return super.containsAll(targets);
    }

      frequency.set(0);
    }
    backingMap.clear();
    size = 0L;
  }

  @Override
  int distinctElements() {
    return backingMap.size();
  }

  // Optimizations - Query Operations

  @Override
  public int size() {
    return Ints.saturatedCast(size);
  }

  @Override
  public Iterator<E> iterator() {
    return new MapBasedMultisetIterator();