.withFeatures(features)
        .suppressing(parentBuilder.getSuppressedTests())
        .createTestSuite();
  }

  /**
   * Returns an array of four bogus elements that will always be too high or too low for the
   * display. This includes two values for each extreme.
   *
   * <p>This method (dangerously) assume that the strings {@code "!! a"} and {@code "~~ z"} will

        .withFeatures(features)
        .suppressing(parentBuilder.getSuppressedTests())
        .createTestSuite();
  }

  /**
   * Returns an array of four bogus elements that will always be too high or too low for the
   * display. This includes two values for each extreme.
   *
   * <p>This method (dangerously) assume that the strings {@code "!! a"} and {@code "~~ z"} will

     * wrapper around j.u.HashSet, which has built-in flooding protection. MAX_RUN_MULTIPLIER was
     * determined experimentally to match our desired probability of false positives.
     */
    // NB: yes, this is surprisingly high, but that's what the experiments said was necessary
    // Raising this number slows the worst-case contains behavior, speeds up hashFloodingDetected,
    // and reduces the false-positive probability.

      assertFalse(segment.isLocked());
      Map<?, ?> table = segmentTable(segment);
      // cleanup and then check count after we have a strong reference to all entries
      segment.cleanUp();
      // under high memory pressure keys/values may be nulled out but not yet enqueued
      assertThat(table.size()).isAtMost(segment.count);
      for (Entry<?, ?> entry : table.entrySet()) {
        assertNotNull(entry.getKey());

 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but
 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues

  public static <K extends @Nullable Object, V extends @Nullable Object>
      CompactHashMap<K, V> create() {
    return new CompactHashMap<>();
  }

  /**
   * Creates a {@code CompactHashMap} instance, with a high enough "initial capacity" that it
   * <i>should</i> hold {@code expectedSize} elements without growth.
   *
   * @param expectedSize the number of elements you expect to add to the returned set

   * and accesses that were performed on the map. The queue is drained on writes and when it exceeds
   * its capacity threshold.
   *
   * 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

    }
    LinkedHashSet<E> set = newLinkedHashSet();
    Iterables.addAll(set, elements);
    return set;
  }

  /**
   * Creates a {@code LinkedHashSet} instance, with a high enough "initial capacity" that it
   * <i>should</i> hold {@code expectedSize} elements without growth. This behavior cannot be
   * broadly guaranteed, but it is observed to be true for OpenJDK 1.7. It also can't be guaranteed

        }
        if (current > maxValueDivs[radix]) {
          return true;
        }
        // current == maxValueDivs[radix]
        return (digit > maxValueMods[radix]);
      }

      // current < 0: high bit is set
      return true;
    }
  }

  /**
   * Returns a string representation of x, where x is treated as unsigned.
   *
   * <p><b>Java 8+ users:</b> use {@link Long#toUnsignedString(long)} instead.

 * writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but
 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues