for (i in 2..997) {
              sink.writeUtf8(String.format(" * $i = ${factor(i)}\n"))
            }
          }

          private fun factor(n: Int): String {
            for (i in 2 until n) {
              val x = n / i
              if (x * i == n) return "${factor(x)} × $i"
            }
            return n.toString()
          }
        }

       *
       * The absent indicator of -1 signed becomes 2^8 - 1 unsigned, which reduces the actual max
       * size to 2^8 - 1. However, due to a load factor < 1 the limit is never approached.
       */
      byte[] hashTable = new byte[tableSize];
      Arrays.fill(hashTable, ABSENT);

      int outI = 0;
      entries:
      for (int i = 0; i < n; i++) {

   * Sec-CH-UA-Form-Factor}</a> header field name.
   *
   * @deprecated Prefer {@link SEC_CH_UA_FORM_FACTORS}.
   * @since 32.0.0
   */
  @Deprecated public static final String SEC_CH_UA_FORM_FACTOR = "Sec-CH-UA-Form-Factor";

  /**
   * The HTTP <a href="https://wicg.github.io/ua-client-hints/#sec-ch-ua-form-factors">{@code

          // requireNonNull is safe because right must exist in order to get a negative factor.
          requireNonNull(right);
          if (right.balanceFactor() > 0) {
            right = right.rotateRight();
          }
          return rotateLeft();
        case 2:
          // requireNonNull is safe because left must exist in order to get a positive factor.
          requireNonNull(left);
          if (left.balanceFactor() < 0) {

   * can hold setSize elements with the desired load factor. Always returns at least setSize + 2.
   */
  // TODO(cpovirk): Move to Hashing or something, since it's used elsewhere in the Android version.
  static int chooseTableSize(int setSize) {
    setSize = max(setSize, 2);
    // Correct the size for open addressing to match desired load factor.
    if (setSize < CUTOFF) {

  public Collection<V> values() {
    return super.values();
  }

  @VisibleForTesting
  @WeakOuter
  final class ValueSet extends Sets.ImprovedAbstractSet<V> {
    /*
     * We currently use a fixed load factor of 1.0, a bit higher than normal to reduce memory
     * consumption.
     */

    @ParametricNullness private final K key;
    @VisibleForTesting @Nullable ValueEntry<K, V>[] hashTable;
    private int size = 0;

   */
  public long approximateElementCount() {
    long bitSize = bits.bitSize();
    long bitCount = bits.bitCount();

    /*
     * Each insertion is expected to reduce the # of clear bits by a factor of
     * `numHashFunctions/bitSize`. So, after n insertions, expected bitCount is `bitSize * (1 - (1 -
     * numHashFunctions/bitSize)^n)`. Solving that for n, and approximating `ln x` as `x - 1` when x

    super.setUp();
    CycleDetectingLockFactory factory = CycleDetectingLockFactory.newInstance(Policies.THROW);
    lockA = factory.newReentrantLock("LockA");
    lockB = factory.newReentrantLock("LockB");
    lockC = factory.newReentrantLock("LockC");
    ReentrantReadWriteLock readWriteLockA = factory.newReentrantReadWriteLock("ReadWriteA");
    ReentrantReadWriteLock readWriteLockB = factory.newReentrantReadWriteLock("ReadWriteB");

    super.setUp();
    CycleDetectingLockFactory factory = CycleDetectingLockFactory.newInstance(Policies.THROW);
    lockA = factory.newReentrantLock("LockA");
    lockB = factory.newReentrantLock("LockB");
    lockC = factory.newReentrantLock("LockC");
    ReentrantReadWriteLock readWriteLockA = factory.newReentrantReadWriteLock("ReadWriteA");
    ReentrantReadWriteLock readWriteLockB = factory.newReentrantReadWriteLock("ReadWriteB");

   * }
   *
   * CycleDetectingLockFactory.WithExplicitOrdering<MyLockOrder> factory =
   *   CycleDetectingLockFactory.newInstanceWithExplicitOrdering(Policies.THROW);
   *
   * Lock lock1 = factory.newReentrantLock(MyLockOrder.FIRST);
   * Lock lock2 = factory.newReentrantLock(MyLockOrder.SECOND);
   * Lock lock3 = factory.newReentrantLock(MyLockOrder.THIRD);
   *
   * lock1.lock();
   * lock3.lock();