*
 * <p><i>Performance notes:</i>
 *
 * <ul>
 *   <li>If you only access one end of the queue, and do use a maximum size, this class will perform
 *       significantly worse than a {@code PriorityQueue} with manual eviction above the maximum
 *       size. In many cases {@link Ordering#leastOf} may work for your use case with significantly
 *       improved (and asymptotically superior) performance.

</pre>

<p>
As before, there is no guarantee that, in <code>main</code>,
observing the write to <code>done</code>
implies observing the write to <code>a</code>, so this program could
print an empty string too.
Worse, there is no guarantee that the write to <code>done</code> will ever
be observed by <code>main</code>, since there are no synchronization
events between the two threads.  The loop in <code>main</code> is not
guaranteed to finish.

  }

  /**
   * When writing a set of headers fails due to an `IOException`, make sure the writer is left
   * in a consistent state so the next writer also gets an `IOException` also instead of
   * something worse (like an [IllegalStateException].
   *
   *
   * See https://github.com/square/okhttp/issues/1651
   */
  @Test fun socketExceptionWhileWritingHeaders() {
    peer.acceptFrame() // SYN_STREAM.
    peer.play()

- kubeadm: JoinConfiguration now houses the discovery options in a nested Discovery structure, which in turn has a couple of other nested structures to house more specific options (BootstrapTokenDiscovery and FileDiscovery) ([#67763](https://github.com/kubernetes/kubernetes/pull/67763), [@rosti](https://github.com/rosti))

  /**
   * Confirm that we don't send the Proxy-Authorization header from the request to the proxy server.
   * We used to have that behavior but it is problematic because unrelated requests end up sharing
   * credentials. Worse, that approach leaks proxy credentials to the origin server.
   */
  @Test
  fun noPreemptiveProxyAuthorization() {
    server.useHttps(handshakeCertificates.sslSocketFactory())

les":"la")+"] LT"},lastWeek:function(){return"[el] dddd [passat a "+(1!==this.hours()?"les":"la")+"] LT"},sameElse:"L"},relativeTime:{future:"d'aqu\xed %s",past:"fa %s",s:"uns segons",ss:"%d segons",m:"un minut",mm:"%d minuts",h:"una hora",hh:"%d hores",d:"un dia",dd:"%d dies",M:"un mes",MM:"%d mesos",y:"un any",yy:"%d anys"},dayOfMonthOrdinalParse:/\d{1,2}(r|n|t|\xe8|a)/,ordinal:function(e,a){return e+("w"!==a&&"W"!==a?1===e?"r":2===e?"n":3===e?"r":4===e?"t":"\xe8":"a")},week:{dow:1,doy:4}});var...

        and `tf.keras.layers.LocallyConnected1D`. The new mode
        (`implementation=2`) performs forward pass as a single dense matrix
        multiplication, allowing dramatic speedups in certain scenarios (but
        worse performance in others - see docstring). The option also allows to
        use `padding=same`.
    *   Add documentation clarifying the differences between tf.fill and
        tf.constant.