* possibly run in another thread. That cause should itself be an {@code Error}; if not, use {@code
 * ExecutionException} or {@link UncheckedExecutionException}. This allows the client code to
 * continue to distinguish between exceptions and errors, even when they come from other threads.
 *
 * @author Chris Povirk
 * @since 10.0
 */
@GwtCompatible

 * {@link Map} specified in the {@link Table} interface.
 *
 * <p>Note that this implementation is not synchronized. If multiple threads access this table
 * concurrently and one of the threads modifies the table, it must be synchronized externally.
 *
 * <p>See the Guava User Guide article on <a href=

        .connectionPool(ConnectionPool(connectionListener = connectionListener))
    }

  private fun loomThreadFactory(): ThreadFactory {
    val ofVirtual = Thread::class.java.getMethod("ofVirtual").invoke(null)

    return Class.forName("java.lang.Thread\$Builder")
      .getMethod("factory")
      .invoke(ofVirtual) as ThreadFactory
  }

  private fun isLoom(): Boolean {

 * due to eviction resulting from timed expiration, exceeding a maximum size, or garbage collection.
 *
 * <p>An instance may be called concurrently by multiple threads to process different entries.
 * Implementations of this interface should avoid performing blocking calls or synchronizing on
 * shared resources.
 *

   * As such, this field must be cleared before every map mutation.
   *
   * Note about volatile: volatile doesn't make it safe to read from a mutable graph in one thread
   * while writing to it in another. All it does is help with _reading_ from multiple threads
   * concurrently. For more information, see AbstractNetworkTest.concurrentIteration.
   */
  @CheckForNull private transient volatile Entry<K, V> cacheEntry;

 * Support asynchronous disconnects by breaking the socket only. This should
   prevent flakiness from multiple threads concurrently accessing a stream.

## Version 1.5.3

_2014-03-29_

 * Fix bug where the Content-Length header was not always dropped when
   following a redirect from a POST to a GET.
 * Implement basic support for `Thread.interrupt()`. OkHttp now checks
   for an interruption before doing a blocking call. If it is interrupted,

     *
     * Our solution is for threads to CAS seenExceptions from null to a Set populated with _the
     * initial exception_, no matter which thread does the work. This ensures that seenExceptions
     * always contains not just the current thread's exception but also the initial thread's.
     */
    Set<Throwable> seenExceptionsLocal = seenExceptions;

              @Override
              public Integer call() {
                return Thread.currentThread().getStackTrace().length;
              }
            },
            directExecutor());
    settableFuture.set(null);
    assertThat(getDone(stackDepthCheck))
        .isLessThan(Thread.currentThread().getStackTrace().length + 100);
  }

                Set<Thread> threadsAfter = new HashSet<>(Thread.getAllStackTraces().keySet());
                threadsAfter.removeAll(threadsBefore);

                Set<Thread> leaked = new HashSet<>();
                for ( Thread t : threadsAfter ) {
                    if ( t.getName().startsWith("Transport") ) {

            });
    assertFalse(task.isDone());
    Thread thread =
        new Thread(
            new Runnable() {
              @Override
              public void run() {
                try {
                  task.run();
                } finally {
                  exitLatch.countDown();
                }
              }
            });
    thread.start();
    enterLatch.await();