/** Cache for storing group information to reduce API calls. */
    protected Cache<String, Pair<String[], String[]>> groupCache;

    /** Group cache expiry time in seconds. */
    protected long groupCacheExpiry = 10 * 60L;

    /** Use V2 endpoint. */
    protected boolean useV2Endpoint = true;

    /**
     * Initializes the Azure AD authenticator.

            if (exitValue != 0) {
                final StringBuilder out = new StringBuilder();
                if (processTimeout) {
                    out.append("Process is terminated due to ").append(timeout).append(" second exceeded.\n");
                }
                out.append("Exit Code: ").append(exitValue).append("\nOutput:\n").append(it.getOutput());
                throw new JobProcessingException(out.toString());
            }

   * </pre>
   *
   * @throws IllegalArgumentException if there is a loop in the causal chain
   */
  public static Throwable getRootCause(Throwable throwable) {
    // Keep a second pointer that slowly walks the causal chain. If the fast pointer ever catches
    // the slower pointer, then there's a loop.
    Throwable slowPointer = throwable;
    boolean advanceSlowPointer = false;

0.002 responseHeadersStart
0.082 responseHeadersEnd
0.082 responseBodyStart
0.082 responseBodyEnd
0.083 connectionReleased
0.083 callEnd
```

Notice how no connect events are fired for the second call. It reused the connection from the first request for dramatically better performance.

### EventListener.Factory

    assertThat(Adapters.parseGeneralizedTime("19920622123421Z"))
      .isEqualTo(date("1992-06-22T12:34:21.000+0000").time)
  }

  @Disabled("fractional seconds are not implemented")
  @Test
  fun `parse generalized time with fractional seconds`() {
    assertThat(Adapters.parseGeneralizedTime("19920722132100.3Z"))
      .isEqualTo(date("1992-07-22T13:21:00.300+0000").time)
  }

 * efficient `max-age=0` directive instead:
 *
 * ```java
 * Request request = new Request.Builder()
 *     .cacheControl(new CacheControl.Builder()
 *         .maxAge(0, TimeUnit.SECONDS)
 *         .build())
 *     .url("http://publicobject.com/helloworld.txt")
 *     .build();
 * ```
 *
 * ## Force a Cache Response
 *

      // return condition1 || condition2;
      if (nodeU().equals(other.nodeU())) { // check condition1
        // Here's the tricky bit. We don't have to explicitly check for condition2 in this case.
        // Why? The second half of condition2 requires that nodeV equals other.nodeU.
        // We already know that nodeU equals other.nodeU. Combined with the earlier statement,

    /* Should recover to be able to remove() after next(). */
    assertEquals("B", peekingIterator.next());
    peekingIterator.remove();
    assertEquals("Should have removed an element", 2, list.size());
    assertFalse("Second element should be gone", list.contains("B"));
  }

  static class ThrowsAtEndException extends RuntimeException {
    /* nothing */
  }

  /**

    assertRoute(selection1.next(), address, proxyA, dns.lookup(PROXY_A_HOST, 1), PROXY_A_PORT)
    dns.assertRequests(PROXY_A_HOST)
    assertThat(selection1.hasNext()).isFalse()

    // Next try the IP address of the second proxy.
    assertThat(routeSelector.hasNext()).isTrue()
    dns[PROXY_B_HOST] = dns.allocate(1)
    val selection2 = routeSelector.next()

    //    were added to the queue. It's easily possible for one thread to take the head of the
    //    queue, immediately followed by another thread taking the next element in the queue. That
    //    second thread can then dispatch to the subscriber it took before the first thread does.
    //
    // All this makes me really wonder if there's any value in queueing here at all. A dispatcher