* the columns. The reverse is also available, associating a column with a row key / value map. Note
 * that, in some implementations, data access by column key may have fewer supported operations or
 * worse performance than data access by row key.
 *
 * <p>The methods returning collections or maps always return views of the underlying table.
 * Updating the table can change the contents of those collections, and updating the collections

 *       method to obtain a correctly-sized copy.
 *   <li>The performance of using the associated {@code Builder} class can be assumed to be no
 *       worse, and possibly better, than creating a mutable collection and copying it.
 *   <li>Implementations generally do not cache hash codes. If your element or key type has a slow

       * (We also haven't benchmarked under Android. We continue to use UnsafeAtomicHelper there so
       * that we don't change the performance there, for better or for worse.) Fortunately, JVM
       * users will typically use guava-jre, not guava-android, and guava-jre uses the VarHandle
       * implementation when possible.
       */
      try {

 *
 * <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.

   *       threads, RPC network threads, or other latency-sensitive threads. In those cases, slow
   *       listeners can harm responsiveness, slow the system as a whole, or worse. (See also the
   *       note about locking below.)
   *   <li>If many tasks will be triggered by the same event, one heavyweight task may delay other

</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.

existence; `and now for the garden!' and she ran with all speed
back to the little door:  but, alas! the little door was shut
again, and the little golden key was lying on the glass table as
before, `and things are worse than ever,' thought the poor child,
`for I never was so small as this before, never!  And I declare
it's too bad, that it is!'

  As she said these words her foot slipped, and in another

  }

  /**
   * 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()

  /**
   * 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())
    server.enqueue(

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