// For these users fallback to a suboptimal implementation, based on synchronized. This
          // will be a definite performance hit to those users.
          thrownAtomicReferenceFieldUpdaterFailure = atomicReferenceFieldUpdaterFailure;
          helper = new SynchronizedHelper();
        }
      }
    } else {
      /*

            params.put("Query Time", toNumberString(e.getQueryTime()));
            params.put("Response Time", toNumberString(e.getResponseTime()));
            params.put("Hit Count", toNumberString(e.getHitCount()));
            params.put("Offset", toNumberString(e.getQueryOffset()));
            params.put("Page Size", toNumberString(e.getQueryPageSize()));

          // For these users fallback to a suboptimal implementation, based on synchronized. This
          // will be a definite performance hit to those users.
          thrownAtomicReferenceFieldUpdaterFailure = atomicReferenceFieldUpdaterFailure;
          helper = new SynchronizedHelper();
        }
      }
    }
    ATOMIC_HELPER = helper;

  }

  private fun testRequestMethod(
    requestMethod: String,
    expectCached: Boolean,
    withOverride: Boolean = false,
  ) {
    // 1. Seed the cache (potentially).
    // 2. Expect a cache hit or miss.
    server.enqueue(
      MockResponse
        .Builder()
        .addHeader("Expires: " + formatDate(1, TimeUnit.HOURS))
        .addHeader("X-Response-ID: 1")
        .build(),
    )

   * inputs. All valid inputs must pass this regex, but it's semantically fine if not all inputs
   * that pass this regex are valid -- only a performance hit is incurred, not a semantics bug.
   */
  @GwtIncompatible // regular expressions
  static final
  java.util.regex.Pattern
      FLOATING_POINT_PATTERN = fpPattern();

  @GwtIncompatible // regular expressions

labels.searchlog_log_type_click=Click Log
labels.searchlog_log_type_favorite=Favorite Log
labels.searchlog_log_type_user_info=User Log
labels.searchlog_log_type_search_keyword=Keyword Count
labels.searchlog_log_type_search_zerohit=Zero Hit Count
labels.searchlog_log_type_search_zeroclick=Zero Click Count
labels.searchlog_log_type_search_count_hour=Search Count/Hour
labels.searchlog_log_type_search_count_day=Search Count/Day

	peerPrefix      = "peer"
	peerPrefixS3    = "peerS3"
	healPrefix      = "heal"
)

func init() {
	// Static check if we exceed 255 handler ids.
	// Extend the type to uint16 when hit.
	if uint32(handlerLast) > 255 {
		panic(fmt.Sprintf("out of handler IDs. %d > %d", handlerLast, 255))
	}
}

func (h HandlerID) valid() bool {
	return h != handlerInvalid && h < handlerLast
}

     * Get the value for the key 'query.orsearch.min.hit.count'. <br>
     * The value is, e.g. -1 <br>
     * comment: Minimum hit count for OR search queries.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getQueryOrsearchMinHitCount();

    /**
     * Get the value for the key 'query.orsearch.min.hit.count' as {@link Integer}. <br>

   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**

labels.searchlog_log_type_click=Click Log
labels.searchlog_log_type_favorite=Favorite Log
labels.searchlog_log_type_user_info=User Log
labels.searchlog_log_type_search_keyword=Keyword Count
labels.searchlog_log_type_search_zerohit=Zero Hit Count
labels.searchlog_log_type_search_zeroclick=Zero Click Count
labels.searchlog_log_type_search_count_hour=Search Count/Hour
labels.searchlog_log_type_search_count_day=Search Count/Day