* guarantee that the new value will be fully visible to the other threads. To guarantee that
 * modifications are visible, synchronize access to the table. Unlike other {@code Table}
 * implementations, synchronization is unnecessary between a thread that writes to one cell and a
 * thread that reads from another.
 *
 * <p>See the Guava User Guide article on <a href=

 * #runOneIteration} takes longer than its schedule defines, then subsequent executions may start
 * late. Also, all life cycle methods are executed with a lock held, so subclasses can safely modify
 * shared state without additional synchronization necessary for visibility to later executions of
 * the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *
 * <p>Here is a sketch of a service which crawls a website and uses the scheduling capabilities to

   * termination, or other problems, {@code to} may not be a complete copy of {@code from}. If you
   * need to guard against those conditions, you should employ other file-level synchronization.
   *
   * <p><b>Warning:</b> If {@code to} represents an existing file, that file will be overwritten
   * with the contents of {@code from}. If {@code to} and {@code from} refer to the <i>same</i>

   * termination, or other problems, {@code to} may not be a complete copy of {@code from}. If you
   * need to guard against those conditions, you should employ other file-level synchronization.
   *
   * <p><b>Warning:</b> If {@code to} represents an existing file, that file will be overwritten
   * with the contents of {@code from}. If {@code to} and {@code from} refer to the <i>same</i>

                || this.sbuf[7] != (byte) 'B') {
            throw new IOException("Houston we have a synchronization problem");
        }

        int nextCommand = Encdec.dec_uint32le(this.sbuf, 4 + 20);
        final int maximumBufferSize = getContext().getConfig().getMaximumBufferSize();

  @ArgumentsSource(ProtocolParamProvider::class)
  fun recoverFromCancelReusesConnection(protocol: Protocol) {
    setUp(protocol)
    val responseDequeuedLatches =
      listOf(
        // No synchronization for the last request, which is not canceled:
        CountDownLatch(1),
        CountDownLatch(0),
      )
    val requestCanceledLatches =
      listOf(
        CountDownLatch(1),

    protected int sizeForUpdate = 100;

    /** Scroll timeout for update operations */
    protected String scrollForUpdate = "1m";

    /** Maximum retry attempts for configuration synchronization status checks */
    protected int maxConfigSyncStatusRetry = 10;

    /** Maximum retry attempts for search engine status checks */
    protected int maxEsStatusRetry = 60;

   * at a time, but since read operations and cache loading computations can proceed concurrently,
   * this still yields higher concurrency than full synchronization.
   *
   * <p>Defaults to 4. <b>Note:</b>The default may change in the future. If you care about this
   * value, you should always choose it explicitly.
   *

   * one input completes with result X and another later with result Y, for Y to come before X in
   * the output future list. (Such races are impossible to solve without global synchronization of
   * all future completions. And they should have little practical impact.)
   *
   * <p>Cancelling a delegate future propagates to input futures once all the delegates complete,

// Usually this happens automatically in TF_SessionRun. After this is called,
// TF_SessionRun will no longer extend the session on every call.
//
// We expose this here to allow fine-grained synchronization in multi-threaded
// workloads, which is required since the Python implementation depends on the
// above mutation methods. This allows us to prevent modifications to nodes in