Set<Set<Integer>> powerSet = powerSet(elements);
    assertEquals(1, powerSet.size());
    assertEquals(ImmutableSet.of(ImmutableSet.of()), powerSet);
    assertEquals(0, powerSet.hashCode());
  }

  public void testPowerSetContents() {
    ImmutableSet<Integer> elements = ImmutableSet.of(1, 2, 3);
    Set<Set<Integer>> powerSet = powerSet(elements);
    assertEquals(8, powerSet.size());

  public void testContainsAll() {
    ImmutableSortedSet<Integer> set = ContiguousSet.create(Range.closed(1, 3), integers());
    for (Set<Integer> subset : Sets.powerSet(ImmutableSet.of(1, 2, 3))) {
      assertTrue(set.containsAll(subset));
    }
    for (Set<Integer> subset : Sets.powerSet(ImmutableSet.of(1, 2, 3))) {
      assertFalse(set.containsAll(Sets.union(subset, ImmutableSet.of(9))));
    }

  public void testContainsAll() {
    ImmutableSortedSet<Integer> set = ContiguousSet.create(Range.closed(1, 3), integers());
    for (Set<Integer> subset : Sets.powerSet(ImmutableSet.of(1, 2, 3))) {
      assertTrue(set.containsAll(subset));
    }
    for (Set<Integer> subset : Sets.powerSet(ImmutableSet.of(1, 2, 3))) {
      assertFalse(set.containsAll(Sets.union(subset, ImmutableSet.of(9))));
    }

            Range.closed(4, 6),
            Range.closedOpen(1, 3),
            Range.openClosed(5, 7),
            Range.open(3, 4));
    subsets:
    for (Set<Range<Integer>> subset : Sets.powerSet(ranges)) {
      assertEquals(TreeRangeSet.create(subset), ImmutableRangeSet.unionOf(subset));

      RangeSet<Integer> mutable = TreeRangeSet.create();

            Range.closed(4, 6),
            Range.closedOpen(1, 3),
            Range.openClosed(5, 7),
            Range.open(3, 4));
    subsets:
    for (Set<Range<Integer>> subset : Sets.powerSet(ranges)) {
      assertEquals(TreeRangeSet.create(subset), ImmutableRangeSet.unionOf(subset));

      RangeSet<Integer> mutable = TreeRangeSet.create();

[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine

  /** The HTTP {@code X-Frame-Options} header field name. */
  public static final String X_FRAME_OPTIONS = "X-Frame-Options";
  /** The HTTP {@code X-Powered-By} header field name. */
  public static final String X_POWERED_BY = "X-Powered-By";
  /**
   * The HTTP <a href="http://tools.ietf.org/html/draft-evans-palmer-key-pinning">{@code
   * Public-Key-Pins}</a> header field name.
   *
   * @since 15.0
   */