}

  /** Returns the platform preferred implementation of a set based on a hash table. */
  static <E extends @Nullable Object> Set<E> newHashSetWithExpectedSize(int expectedSize) {
    return Sets.newHashSetWithExpectedSize(expectedSize);
  }

  /** Returns the platform preferred implementation of a thread-safe hash set. */
  static <E> Set<E> newConcurrentHashSet() {

      Map<K, V> newLinkedHashMapWithExpectedSize(int expectedSize) {
    return Maps.newLinkedHashMapWithExpectedSize(expectedSize);
  }

  static <E extends @Nullable Object> Set<E> newHashSetWithExpectedSize(int expectedSize) {
    return Sets.newHashSetWithExpectedSize(expectedSize);
  }

  static <E extends @Nullable Object> Set<E> newConcurrentHashSet() {

    return CompactLinkedHashMap.createWithExpectedSize(expectedSize);
  }

  /** Returns the platform preferred implementation of a set based on a hash table. */
  static <E extends @Nullable Object> Set<E> newHashSetWithExpectedSize(int expectedSize) {
    return CompactHashSet.createWithExpectedSize(expectedSize);
  }

  /**
   * Returns the platform preferred implementation of an insertion ordered set based on a hash
   * table.
   */

    private @Nullable Set<@Nullable N> visitedNodes;

    private Undirected(BaseGraph<N> graph) {
      super(graph);
      this.visitedNodes = Sets.newHashSetWithExpectedSize(graph.nodes().size() + 1);
    }

    @Override
    protected @Nullable EndpointPair<N> computeNext() {
      while (true) {
        /*

        queryList.add(candidate);
      }
    }
    shuffle(queryList, random);
    return queryList.toArray(new Element[0]);
  }

  private Set<Element> createData() {
    Set<Element> set = Sets.newHashSetWithExpectedSize(size);
    while (set.size() < size) {
      set.add(newElement());
    }
    return set;
  }

  private Element newElement() {
    int value = random.nextInt();

   *
   * @return a new {@code HashSet} containing a collection of values for one key
   */
  @Override
  Set<V> createCollection() {
    return Platform.newHashSetWithExpectedSize(expectedValuesPerKey);
  }

  /**
   * @serialData expectedValuesPerKey, number of distinct keys, and then for each distinct key: the
   *     key, number of values for that key, and the key's values
   */

        queryList.add(candidate);
      }
    }
    shuffle(queryList, random);
    return queryList.toArray(new Element[0]);
  }

  private Set<Element> createData() {
    Set<Element> set = Sets.newHashSetWithExpectedSize(size);
    while (set.size() < size) {
      set.add(newElement());
    }
    return set;
  }

  private Element newElement() {
    int value = random.nextInt();

   *
   * @return a new {@code HashSet} containing a collection of values for one key
   */
  @Override
  Set<V> createCollection() {
    return Platform.newHashSetWithExpectedSize(expectedValuesPerKey);
  }

  /**
   * @serialData expectedValuesPerKey, number of distinct keys, and then for each distinct key: the
   *     key, number of values for that key, and the key's values
   */

      }

      // ensure that bulkGet returns locks in monotonically increasing order
      for (int objectsNum = 1; objectsNum <= striped.size() * 2; objectsNum++) {
        Set<Object> objects = Sets.newHashSetWithExpectedSize(objectsNum);
        for (int i = 0; i < objectsNum; i++) {
          objects.add(new Object());
        }

        Iterable<?> locks = striped.bulkGet(objects);

      }

      // ensure that bulkGet returns locks in monotonically increasing order
      for (int objectsNum = 1; objectsNum <= striped.size() * 2; objectsNum++) {
        Set<Object> objects = Sets.newHashSetWithExpectedSize(objectsNum);
        for (int i = 0; i < objectsNum; i++) {
          objects.add(new Object());
        }

        Iterable<?> locks = striped.bulkGet(objects);