assertFailure { httpUrl.topPrivateDomain() }.all {
      hasMessage("Unable to load PublicSuffixDatabase.list resource.")
      cause().isNotNull().all {
        hasMessage(
          "Platform applicationContext not initialized. " +
            "Startup Initializer possibly disabled, " +
            "call OkHttp.initialize before test.",
        )
        hasClass<IOException>()
      }
    }

     * >60% faster than the Euclidean algorithm in benchmarks.
     */
    int aTwos = Long.numberOfTrailingZeros(a);
    a >>= aTwos; // divide out all 2s
    int bTwos = Long.numberOfTrailingZeros(b);
    b >>= bTwos; // divide out all 2s
    while (a != b) { // both a, b are odd
      // The key to the binary GCD algorithm is as follows:
      // Both a and b are odd. Assume a > b; then gcd(a - b, b) = gcd(a, b).

   * entire stream. To avoid a potentially expensive operation, see {@link #lengthIfKnown}.
   *
   * <p>The default implementation calls {@link #lengthIfKnown} and returns the value if present. If
   * absent, it will fall back to a heavyweight operation that will open a stream, {@link
   * Reader#skip(long) skip} to the end of the stream, and return the total number of chars that
   * were skipped.
   *

   * specified element (or equivalently, if this queue changed as a result of the call).
   *
   * @param o element to be removed from this queue, if present
   * @return {@code true} if this queue changed as a result of the call
   */
  @CanIgnoreReturnValue // pushed down from class to method
  @Override
  public boolean remove(@Nullable Object o) {

    val request = Request(server.url("/a"))
    val call = client.newCall(request)
    call.enqueue(
      object : Callback {
        override fun onFailure(
          call: Call,
          e: IOException,
        ) {
          failureRef.set(true)
          latch.countDown()
        }

        override fun onResponse(
          call: Call,
          response: Response,
        ) {

   * <ul>
   *   <li>{@code required}, {@code from}, and {@code to} should all be indexes into {@code array};
   *   <li>{@code required} should be in the range [{@code from}, {@code to}];
   *   <li>all the values with indexes in the range [0, {@code from}) should be less than or equal
   *       to all the values with indexes in the range [{@code from}, {@code to}];

    call: Call,
    connection: Connection,
  ) = logEvent(ConnectionReleased(System.nanoTime(), call, connection))

  override fun callStart(call: Call) = logEvent(CallStart(System.nanoTime(), call))

  override fun requestHeadersStart(call: Call) = logEvent(RequestHeadersStart(System.nanoTime(), call))

  override fun requestHeadersEnd(
    call: Call,
    request: Request,

   *       </ul>
   *   <li>another java.util.Map delegate implementation. In most modern JDKs, normal java.util hash
   *       collections intelligently fall back to a binary search tree if hash table collisions are
   *       detected. Rather than going to all the trouble of reimplementing this ourselves, we
   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is

        .url(server.url("/"))
        .post(AsyncRequestBody())
        .build()
    val call = client.newCall(request)
    call.timeout().timeout(250, TimeUnit.MILLISECONDS)
    assertFailsWith<IOException> {
      call.execute()
    }.also { expected ->
      assertThat(expected.message).isEqualTo("timeout")
      assertTrue(call.isCanceled())
    }
  }

  @Test
  fun fullCallTimeoutDoesNotApplyOnceConnected() {

 * will prefer pooled connections. Only pooled HTTP/2 connections are used for such de-duplication.
 *
 * It is possible to cancel the finding process by canceling its call.
 *
 * Implementations of this interface are not thread-safe. Each instance is thread-confined to the
 * thread executing the call.
 */
interface RoutePlanner {
  val address: Address

  /** Follow-ups for failed plans and plans that lost a race. */