*/
  static class IteratorWithSunJavaBug6529795<T> implements Iterator<T> {
    Iterator<T> iterator;
    boolean nextThrewException;

    IteratorWithSunJavaBug6529795(Iterator<T> iterator) {
      this.iterator = iterator;
    }

    @Override
    public boolean hasNext() {
      return iterator.hasNext();
    }

    @Override
    public T next() {
      try {

    "true" or "1", this environment variable makes `tf.nn.bias_add` operate
    deterministically (i.e. reproducibly), but currently only when XLA JIT
    compilation is *not* enabled. Setting `TF_DETERMINISTIC_OPS` to "true" or
    "1" also makes cuDNN convolution and max-pooling operate deterministically.
    This makes Keras Conv\*D and MaxPool\*D layers operate deterministically in

    assertEquals("b", iterator.previous());
    assertThrows(UnsupportedOperationException.class, () -> iterator.add("c"));
  }

  @SuppressWarnings("DoNotCall")
  public void testSet() {
    ListIterator<String> iterator = create();

    assertTrue(iterator.hasNext());
    assertEquals("a", iterator.next());
    assertEquals("b", iterator.next());
    assertEquals("b", iterator.previous());

        @Nonnull
        public Optional<Lifecycle> lookup(String id) {
            return getDelegate().lookup(id);
        }

        @Override
        public Iterator<Lifecycle> iterator() {
            return getDelegate().iterator();
        }

        protected LifecycleRegistry getDelegate() {
            return lifecycleRegistry;
        }

        @Override

   * values} is a {@link Collection}. Otherwise it creates a {@link #builder} and uses {@link
   * Builder#addAll(Iterable)}, with all the performance implications associated with that.
   */
  public static ImmutableIntArray copyOf(Iterable<Integer> values) {
    if (values instanceof Collection) {
      return copyOf((Collection<Integer>) values);
    }
    return builder().addAll(values).build();

    public Iterable<UseIterable<? extends Iterable<?>>>
        wildcardOfImplicitBoundedIsSubtypeOfWildcardOfExplicitlyBounded(
            List<UseIterable<?>> withImplicitBounds) {
      return isSubtype(withImplicitBounds);
    }

    @TestSubtype(suppressGetSupertype = true, suppressGetSubtype = true)
    public Iterable<UseSerializableIterable<? extends Iterable<?>>>

    } catch (UnsupportedOperationException e) {
      return;
    }
    if (map.size() < 2 || !supportsPut) {
      return;
    }
    Iterator<Entry<K, V>> iterator = map.entrySet().iterator();
    Entry<K, V> firstEntry = iterator.next();
    Entry<K, V> secondEntry = iterator.next();
    K key = secondEntry.getKey();
    SortedMap<K, V> subMap = map.tailMap(key);
    V value = getValueNotInPopulatedMap();

    longManyValuesAccumulatorByAddAllIterator.addAll(LONG_MANY_VALUES.iterator());

    longManyValuesAccumulatorByAddAllVarargs = new StatsAccumulator();
    longManyValuesAccumulatorByAddAllVarargs.addAll(Longs.toArray(LONG_MANY_VALUES));
  }

  private static StatsAccumulator statsAccumulatorOf(Iterable<? extends Number> values) {
    StatsAccumulator accumulator = new StatsAccumulator();

    assertFalse(getMap().entrySet().iterator().hasNext());
  }

  @MapFeature.Require({FAILS_FAST_ON_CONCURRENT_MODIFICATION, SUPPORTS_REMOVE})
  @CollectionSize.Require(SEVERAL)
  public void testClearConcurrentWithEntrySetIteration() {
    assertThrows(
        ConcurrentModificationException.class,
        () -> {
          Iterator<Entry<K, V>> iterator = getMap().entrySet().iterator();
          getMap().clear();

  public void testAddAtIndexConcurrentWithIteration() {
    assertThrows(
        ConcurrentModificationException.class,
        () -> {
          Iterator<E> iterator = collection.iterator();
          getList().add(0, e3());
          iterator.next();
        });
  }

  @ListFeature.Require(absent = SUPPORTS_ADD_WITH_INDEX)
  public void testAddAtIndex_unsupportedNotPresent() {