@Override
    @ParametricNullness
    // We set the field only once (during construction or deserialization).
    @SuppressWarnings("SynchronizeOnNonFinalField")
    public T get() {
      // A 2-field variant of Double Checked Locking.
      if (!initialized) {
        synchronized (lock) {
          if (!initialized) {
            T t = delegate.get();
            value = t;
            initialized = true;

    @Override
    @ParametricNullness
    // We set the field only once (during construction or deserialization).
    @SuppressWarnings("SynchronizeOnNonFinalField")
    public T get() {
      // A 2-field variant of Double Checked Locking.
      if (!initialized) {
        synchronized (lock) {
          if (!initialized) {
            T t = delegate.get();
            value = t;
            initialized = true;

   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

        "composite" tensors, such as `tf.RaggedTensor`, as inputs.
    *   Fix device placement issues related to datasets with ragged tensors of
        strings (i.e. variant encoded data with types not supported on GPU).
    *   'experimental_follow_type_hints' for tf.function has been deprecated.
        Please use input_signature or reduce_retracing to minimize retracing.

   * bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

by automatic tools such as integrated development environments.
</p>

<h2 id="Notation">Notation</h2>
<p>
The syntax is specified using a
<a href="https://en.wikipedia.org/wiki/Wirth_syntax_notation">variant</a>
of Extended Backus-Naur Form (EBNF):
</p>

<pre class="grammar">
Syntax      = { Production } .
Production  = production_name "=" [ Expression ] "." .
Expression  = Term { "|" Term } .

    "cairosvg >=2.8.2",
    # for MkDocs live reload
    "click==8.2.1",
    "griffe-typingdoc >=0.3.0",
    "griffe-warnings-deprecated >=1.1.0",
    "jieba >=0.42.1",
    "markdown-include-variants >=0.0.8",
    "mdx-include >=1.4.1,<2.0.0",
    "mkdocs-macros-plugin >=1.5.0",
    "mkdocs-material >=9.7.0",
    "mkdocs-redirects >=1.2.1,<1.3.0",
    "mkdocstrings[python] >=0.30.1",
    "pillow >=11.3.0",

 *   <li>{@code FluentIterable} contains several features not available on {@code Stream}, which are
 *       noted in the method descriptions below.
 *   <li>Streams include primitive-specialized variants such as {@code IntStream}, the use of which
 *       is strongly recommended.
 *   <li>Streams are standard Java, not requiring a third-party dependency (but requiring <a