/*
     * Wait not just until the Future's value is set (as in future.get()) but
     * also until ListeningScheduledExecutorService's wrapper task is done
     * executing listeners, as detected by yielding control to afterExecute.
     */
    completed.await();
    assertTrue(future.isDone());
    assertThat(future.get()).isEqualTo(42);
    assertListenerRunImmediately(future);

          // because the service does not monitor the state of the future so if the exception is not
          // caught and forwarded to the service the task would stop executing but the service would
          // have no idea.
          // TODO(lukes): consider building everything in terms of ListenableScheduledFuture then

to be initialized but the results are assumed uninitialized.
If the results will hold live pointers during a call instruction,
the function should start by zeroing the results and then
executing the pseudo-instruction <code>GO_RESULTS_INITIALIZED</code>.
This instruction records that the results are now initialized
and should be scanned during stack movement and garbage collection.

    ```
    curl \
      --http2-prior-knowledge \
      --proxy localhost:8888 \
      --proxytunnel \
      http://squareup.com/robots.txt
    ```

 *  Fix: Support executing OkHttp on kotlin-stdlib versions as old as 1.4. The library still builds
    on up-to-date Kotlin releases (1.6.21) but no longer needs that version as a runtime dependency.

     */
    ACE[] getSecurity ( boolean resolveSids ) throws IOException;


    /**
     * Return an array of Access Control Entry (ACE) objects representing
     * the share permissions on the share exporting this file or directory.
     * If no DACL is present, null is returned. If the DACL is empty, an array with 0 elements is returned.
     * <p>
     * Note that this is different from calling <tt>getSecurity</tt> on a

*   Added `keras.export.ExportArchive` class for low-level customization of the process of exporting SavedModel artifacts for inference. Both ways of exporting models are based on `tf.function` tracing and produce a TF program composed of TF ops. They are meant primarily for environments where the TF runtime is available, but not the Python interpreter, as is typical for production...

on the Program.

  To "propagate" a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy.  Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.

which takes a slice type
and parameters specifying the length and optionally the capacity.
A slice created with <code>make</code> always allocates a new, hidden array
to which the returned slice value refers. That is, executing
</p>

<pre>
make([]T, length, capacity)
</pre>

<p>
produces the same slice as allocating an array and <a href="#Slice_expressions">slicing</a>
it, so these two expressions are equivalent:

    final AbstractFuture<String> f =
        new AbstractFuture<String>() {
          @Override
          protected void afterDone() {
            // this simply delays executing listeners
            try {
              Thread.sleep(SECONDS.toMillis(10));
            } catch (InterruptedException ignored) {
              Thread.currentThread().interrupt(); // preserve status
            }

// that were missed since there were no available workers.
func (e *expiryStats) MissedTierJournalTasks() int64 {
	return e.missedTierJournalTasks.Load()
}

// NumWorkers returns the number of active workers executing one of ILM expiry
// tasks or free version collection tasks.
func (e *expiryStats) NumWorkers() int32 {
	return e.workers.Load()
}

type expiryOp interface {
	OpHash() uint64
}