* 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.
   */

        try {
          sink.writeUtf8("abc")
          sink.flush()
          Thread.sleep(sleepMillis.toLong())
          sink.writeUtf8("def")
        } catch (e: InterruptedException) {
          throw InterruptedIOException()
        }
      }
    }

  companion object {
    /** A large response body. Smaller bodies might successfully read after the socket is closed!  */

        String[] results = new String[10];
        Thread[] threads = new Thread[10];

        // Act
        for (int i = 0; i < threads.length; i++) {
            final int index = i;
            threads[i] = new Thread(() -> {
                results[index] = transPeekNamedPipe.toString();
            });
            threads[i].start();
        }

        for (Thread thread : threads) {
            thread.join();

        final ClassLoader context = Thread.currentThread().getContextClassLoader();
        try {
            final ClassLoader cl = new URLClassLoader(new URL[0], getClass().getClassLoader());
            Thread.currentThread().setContextClassLoader(cl);
            assertThat(ClassLoaderUtil.getClassLoader(TestCase.class), is(sameInstance(cl)));
        } finally {
            Thread.currentThread().setContextClassLoader(context);

          /* Someone beat us to it! Trying again...
           *
           * Technically this loop not guaranteed to terminate, so theoretically (extremely
           * unlikely) this thread might starve, but even then, there is always going to be another
           * thread doing progress here.
           */
        }
      }
    }
  }

  /**

    @Test
    void testActivityTracking() {
        long initialTime = channelInfo.getLastActivityTime();

        // Wait a bit and update activity
        try {
            Thread.sleep(10);
        } catch (InterruptedException e) {
            Thread.currentThread().interrupt();
        }

        channelInfo.updateActivity();
        assertTrue(channelInfo.getLastActivityTime() > initialTime);

     * simple approach would be for each caller CAS it from null to a Set populated with its
     * exception. But there's another race: If the first thread fails with an exception and a second
     * thread immediately fails with the same exception:
     *
     * Thread1: calls setException(), which returns true, context switch before it can CAS
     * seenExceptionsField to its exception
     *

   * calling thread. Tasks are run to completion before a {@code Future} is returned to the caller
   * (unless the executor has been shutdown).
   *
   * <p>The returned executor is backed by the executor returned by {@link
   * MoreExecutors#newDirectExecutorService} and subject to the same constraints.
   *
   * <p>Although all tasks are immediately executed in the thread that submitted the task, this

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

        // Create next index - this is the main method we're testing
        Thread.sleep(1000); // Wait before creating next index (following existing test pattern)
        suggester.createNextIndex();
        Thread.sleep(100);

        // Verify that createNextIndex completed without exceptions
        // The update alias should now point to the new index