*
 * @author Kevin Damm
 * @author Kyle Maddison
 */
final class LittleEndianByteArray {

  /**
   * The instance that actually does the work; delegates to VarHandle, Unsafe, or a Java-8
   * compatible pure-Java fallback.
   */
  private static final LittleEndianBytes byteArray = makeGetter();

  /**
   * Load 8 bytes into long in a little endian manner, from the substring between position and

                    entryKey, hash, value, valueReference.getWeight(), RemovalCause.COLLECTED);
              } else if (map.isExpired(e, now)) {
                // This is a duplicate check, as preWriteCleanup already purged expired
                // entries, but let's accommodate an incorrect expiration queue.
                enqueueNotification(
                    entryKey, hash, value, valueReference.getWeight(), RemovalCause.EXPIRED);

                    entryKey, hash, value, valueReference.getWeight(), RemovalCause.COLLECTED);
              } else if (map.isExpired(e, now)) {
                // This is a duplicate check, as preWriteCleanup already purged expired
                // entries, but let's accommodate an incorrect expiration queue.
                enqueueNotification(
                    entryKey, hash, value, valueReference.getWeight(), RemovalCause.EXPIRED);

* etc.

...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀

In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯

*   `tf.data`
    *   Makes the following (breaking) changes to the `tf.data`.
    *   C++ API: - `IteratorBase::RestoreInternal`,
        `IteratorBase::SaveInternal`, and `DatasetBase::CheckExternalState`
        become pure-virtual and subclasses are now expected to provide an
        implementation.
    *   The deprecated `DatasetBase::IsStateful` method is removed in favor of
        `DatasetBase::CheckExternalState`.