* array is that of the specified array. The returned array elements are in no particular order.
   * If the queue fits in the specified array, it is returned therein. Otherwise, a new array is
   * allocated with the runtime type of the specified array and the size of this queue.
   *
   * <p>If this queue fits in the specified array with room to spare (i.e., the array has more

  // 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);

          array[i] = counter.getAndIncrement();
        }
        builder.addAll(ImmutableIntArray.copyOf(array));
      }
    },
    ADD_LARGER_ARRAY {
      @Override
      void doIt(ImmutableIntArray.Builder builder, AtomicInteger counter) {
        int[] array = new int[RANDOM.nextInt(200) + 200];
        for (int i = 0; i < array.length; i++) {
          array[i] = counter.getAndIncrement();
        }

          array[i] = counter.getAndIncrement();
        }
        builder.addAll(ImmutableDoubleArray.copyOf(array));
      }
    },
    ADD_LARGER_ARRAY {
      @Override
      void doIt(ImmutableDoubleArray.Builder builder, AtomicInteger counter) {
        double[] array = new double[RANDOM.nextInt(200) + 200];
        for (int i = 0; i < array.length; i++) {
          array[i] = counter.getAndIncrement();

      assertThat(stats.count()).isEqualTo(stream(array).count());
      assertEquivalent(stats.mean(), stream(array).average().getAsDouble());
      assertEquivalent(stats.sum(), stream(array).sum());
      assertEquivalent(stats.max(), stream(array).max().getAsDouble());
      assertEquivalent(stats.min(), stream(array).min().getAsDouble());
      // static method on Stats vs on instance method on DoubleStream