}

  private static int[] newTable(int size) {
    int[] array = new int[size];
    Arrays.fill(array, UNSET);
    return array;
  }

  private static long[] newEntries(int size) {
    long[] array = new long[size];
    Arrays.fill(array, UNSET);
    return array;
  }

  private int hashTableMask() {
    return table.length - 1;
  }

  // The first `size` elements are non-null.
  @VisibleForTesting final transient @Nullable Object[] array;
  private final transient int size;

  RegularImmutableList(@Nullable Object[] array, int size) {
    this.array = array;
    this.size = size;
  }

  @Override
  public int size() {
    return size;
  }

  @Override
  boolean isPartialView() {

    private lateinit var enabledProtocols: Array<String>
    private lateinit var supportedCipherSuites: Array<String>
    private lateinit var enabledCipherSuites: Array<String>

    override fun getEnabledProtocols(): Array<String> {
      return enabledProtocols
    }

    override fun setEnabledProtocols(protocols: Array<String>) {
      this.enabledProtocols = protocols
    }

        public int count;
        public ShareInfo0[] array;


        @Override
        public void encode ( NdrBuffer _dst ) throws NdrException {
            _dst.align(4);
            _dst.enc_ndr_long(this.count);
            _dst.enc_ndr_referent(this.array, 1);

            if ( this.array != null ) {
                _dst = _dst.deferred;
                int _arrays = this.count;

    }
  }

  /** @return an array of the proper size with {@code null} as the key of the middle element. */
  protected Entry<K, V>[] createArrayWithNullKey() {
    Entry<K, V>[] array = createSamplesArray();
    int nullKeyLocation = getNullLocation();
    Entry<K, V> oldEntry = array[nullKeyLocation];
    array[nullKeyLocation] = entry(null, oldEntry.getValue());
    return array;
  }

  protected V getValueForNullKey() {

    // Try to extract the wrong number of components from a parallel tensor
    std::array<TFE_TensorHandle*, 1> correct_components{value_one.get()};
    TensorHandlePtr combined_value = CreatePerDeviceValues(
        context.get(), correct_components, device_name, status.get());
    ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());

    std::array<TensorHandlePtr, 2> incorrect_components;

  Object[] array;
  ArrayList<Object> arrayList;
  LinkedList<Object> linkedList;

  @BeforeExperiment
  void setUp() {
    array = new Object[size];
    arrayList = Lists.newArrayListWithCapacity(size);
    linkedList = Lists.newLinkedList();

    for (int i = 0; i < size; i++) {
      Object value = new Object();
      array[i] = value;
      arrayList.add(value);

      this.array = new Object[mask + 1];
      for (int i = 0; i < array.length; i++) {
        array[i] = supplier.get();
      }
    }

    @SuppressWarnings("unchecked") // we only put L's in the array
    @Override
    public L getAt(int index) {
      return (L) array[index];
    }

    @Override
    public int size() {
      return array.length;
    }
  }

  /**

                        {
                            "required": False,
                            "schema": {
                                "title": "Q",
                                "type": "array",
                                "items": {"type": "string"},
                                "default": ["foo", "bar"],
                            },
                            "name": "q",

                        {
                            "required": False,
                            "schema": {
                                "title": "Q",
                                "type": "array",
                                "items": {},
                                "default": [],
                            },
                            "name": "q",
                            "in": "query",