* be performed atomically on the returned map. Additionally, {@code size} and {@code
   * containsValue} are implemented as bulk read operations, and thus may fail to observe concurrent
   * writes.
   *
   * @return a serializable concurrent map having the requested features
   */
  public <K, V> ConcurrentMap<K, V> makeMap() {
    if (!useCustomMap) {

    /*
     * Padding from 40 into 64 bytes, same size as cache line. Might be beneficial to add a fourth
     * long here, to minimize chance of interference between consecutive locks, but I couldn't
     * observe any benefit from that.
     */
    long unused1;
    long unused2;
    long unused3;

    PaddedLock() {
      super(false);
    }
  }

  //    (hypothetical) unsafe read by our caller. Note: adding 'volatile' does not fix this issue,
  //    it would just add an edge such that if done() observed non-null, then it would also
  //    definitely observe all earlier writes, but we still have no guarantee that done() would see
  //    the initial write (just stronger guarantees if it does).
  //

  /** Ciphers in order we observed directly on the socket. */
  private lateinit var handshakeEnabledCipherSuites: List<String>

  /** Ciphers in order we observed on sslSocketFactory defaults. */
  private lateinit var defaultEnabledCipherSuites: List<String>

  /** Ciphers in order we observed on sslSocketFactory supported. */

  // * Future completion can be observed if the waitersField field contains a TOMBSTONE

  // Timed Get
  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the

  // * Future completion can be observed if the waitersField field contains a TOMBSTONE

  // Timed Get
  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the

            }
          };
      executor.execute(errorTask);
      service.execute(barrierTask); // submit directly to the service
      // the barrier task runs after the error task so we know that the error has been observed by
      // SequentialExecutor by the time the barrier is satisfied
      barrier.await(1, SECONDS);
      executor.execute(barrierTask);
      // timeout means the second task wasn't even tried

  @Test
  fun testBuildIfSupported() {
    val actual = OpenJSSEPlatform.buildIfSupported()
    assertThat(actual).isNotNull()
  }

  private fun enableTls() {
    // Generate a self-signed cert for the server to serve and the client to trust.
    // can't use TlsUtil.localhost with a non OpenJSSE trust manager
    val heldCertificate =
      HeldCertificate
        .Builder()
        .commonName("localhost")

    server.requireClientAuth()
    val call = client.newCall(Request.Builder().url(server.url("/")).build())
    assertFailsWith<IOException> {
      call.execute()
    }

    // Observed Events are variable
    // JDK 14
    // CallStart, ProxySelectStart, ProxySelectEnd, DnsStart, DnsEnd, ConnectStart, SecureConnectStart,

   * listeners are also applicable to heavyweight functions passed to this method.
   *
   * <p>This method is similar to {@link java.util.concurrent.CompletableFuture#exceptionally}. It
   * can also serve some of the use cases of {@link java.util.concurrent.CompletableFuture#handle}
   * and {@link java.util.concurrent.CompletableFuture#handleAsync} when used along with {@link
   * #transform}.
   *