* small portion of these would be in use.
 *
 * <p>Prior to this class, one might be tempted to use {@code Map<K, Lock>}, where {@code K}
 * represents the task. This maximizes concurrency by having each unique key mapped to a unique
 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing

    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);
      checkMaximumSize(8, 8, maxSize);
    }

    checkMaximumSize(1, 8, Long.MAX_VALUE);
    checkMaximumSize(2, 8, Long.MAX_VALUE);

      }

      @Override
      int minSize() {
        int difference = minSize(set1) - maxSize(set2);
        return difference >= 0 ? difference : max(minSize(set2) - maxSize(set1), 0);
      }

      @Override
      int maxSize() {
        return saturatedAdd(maxSize(set1), maxSize(set2));
      }
    };
  }

  /**

  constructor(directory: File, maxSize: Long) : this(
    FileSystem.SYSTEM,
    directory.toOkioPath(),
    maxSize,
  )

  internal val cache =
    DiskLruCache(
      fileSystem = fileSystem,
      directory = directory,
      appVersion = VERSION,
      valueCount = ENTRY_COUNT,
      maxSize = maxSize,
      taskRunner = taskRunner,
    )

  }

  public void testUnion_maxSize_saturated() {
    assertThat(union(setSize(Integer.MAX_VALUE), setSize(1)).maxSize())
        .isEqualTo(Integer.MAX_VALUE);
    assertThat(union(setSize(1), setSize(Integer.MAX_VALUE)).maxSize())
        .isEqualTo(Integer.MAX_VALUE);
  }

  public void testIntersection_minSize() {
    assertMinSize(intersection(emptySet(), emptySet()), 0);

   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#limit} (same).
   *
   * @param maxSize the maximum number of elements in the returned fluent iterable
   * @throws IllegalArgumentException if {@code size} is negative
   */
  public final FluentIterable<E> limit(int maxSize) {
    return from(Iterables.limit(getDelegate(), maxSize));
  }

  /**
   * Determines whether this fluent iterable is empty.
   *

   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#limit} (same).
   *
   * @param maxSize the maximum number of elements in the returned fluent iterable
   * @throws IllegalArgumentException if {@code size} is negative
   */
  public final FluentIterable<E> limit(int maxSize) {
    return from(Iterables.limit(getDelegate(), maxSize));
  }

  /**
   * Determines whether this fluent iterable is empty.
   *

    Preconditions.checkArgument(expectedSize >= 0, "Expected size must be >= 0");

    // Save expectedSize for use in allocArrays()
    this.metadata = Ints.constrainToRange(expectedSize, 1, CompactHashing.MAX_SIZE);
  }

  /** Returns whether arrays need to be allocated. */
  boolean needsAllocArrays() {
    return table == null;
  }

  /** Handle lazy allocation of arrays. */
  @CanIgnoreReturnValue

    // * The element with (index == from) should be kept.
    // * Everything with (index > from) has not been checked yet.

    // Check from the end of the list backwards (minimize expected cost of
    // moving elements when remove() is called). Stop before 'from' because
    // we already know that should be kept.
    for (int n = list.size() - 1; n > from; n--) {

  // The suppression also covers the cast to E[], discussed below.
  // In the backport, we don't have those cases and thus don't need this suppression.
  // We keep it to minimize diffs.
  @SuppressWarnings("unchecked")
  public static <E> ImmutableSet<E> copyOf(Collection<? extends E> elements) {
    /*
     * TODO(lowasser): consider checking for ImmutableAsList here