sleepTime = Math.min((long) (sleepTime * 1.3), 500);
            }
        }
        if (3000 <= count) {
            logger.info("Time out: Crawler takes too much time");
            //TODO fail(); // Time Out
        }

        logger.info("Crawler terminated");
    }

    protected static String createWebConfig(final Map<String, Object> requestBody) {

       * finalizable references could be enqueued subsequently (at which point the class loader
       * would be resurrected by virtue of us having a strong reference to it), we should pretty
       * much just shut down and make sure we don't keep it alive any longer than necessary.
       */
      return null;
    }
    try {
      return finalizableReferenceClass.getMethod("finalizeReferent");

(double-press shift) or under the _Analyze_ menu.

We’ve included deprecated APIs in OkHttp 4.0 because they make migration easy. We will remove them
in a future release! If you’re skipping releases, it’ll be much easier if you upgrade to OkHttp 4.0
as an intermediate step.

#### Vars and Vals

Java doesn’t have language support for properties so developers make do with getters and setters.

         * We don't *need* to use reflection to access Optional: It's available on all JDKs we
         * support, and Android code won't get this far, anyway, because ProcessHandle is
         * unavailable. But given how much other reflection we're using, we might as well use it
         * here, too, so that we don't need to also suppress an AndroidApiChecker error.
         */

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Double> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

   * ImmutableList.copyOf} and use that list instead.
   */
  public List<Integer> asList() {
    /*
     * Typically we cache this kind of thing, but much repeated use of this view is a performance
     * anti-pattern anyway. If we cache, then everyone pays a price in memory footprint even if
     * they never use this method.
     */
    return new AsList(this);
  }

 *
 * <p>Unlike {@code java.util.HashSet}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code
 * add(x)} operations <i>do not</i> create objects for the garbage collector to deal with, and for

   * <p>It should be noted that using a {@code Striped<L>} with relatively few stripes, and {@code
   * bulkGet(keys)} with a relative large number of keys can cause an excessive number of shared
   * stripes (much like the birthday paradox, where much fewer than anticipated birthdays are needed
   * for a pair of them to match). Please consider carefully the implications of the number of

        } catch (Exception e) {
            // Expected
        }
        long duration = System.currentTimeMillis() - startTime;

        // Test should complete in under 1 second (much less than the original 25+ seconds)
        assertTrue("Test should complete quickly (duration: " + duration + "ms)", duration < 1000);
    }

    // Fast mock implementations to minimize overhead

	go func(ch chan madmin.ReplicationMRF) error {
		defer wg.Done()
		if node != "all" && node != globalLocalNodeName {
			return nil
		}
		mCh, err := globalReplicationPool.Get().getMRF(ctx, bucket)
		if err != nil {
			return err
		}
		for e := range mCh {
			select {
			case <-ctx.Done():
				return err
			case mrfCh <- e:
			}
		}
		return nil
	}(mrfCh)