* 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 = Math.max(setSize, 2);
    // Correct the size for open addressing to match desired load factor.
    if (setSize < CUTOFF) {

    <contributor>
      <name>Phil Pratt-Szeliga (MNG-5645)</name>
    </contributor>
    <contributor>
      <name>Florencia Tarditti (PR 41)</name>
    </contributor>
    <contributor>
      <name>Anton Tanasenko</name>
    </contributor>
    <contributor>
      <name>Joseph Walton (MNG-5297)</name>
    </contributor>
    <contributor>
      <name>Fabiano Cipriano de Oliveira (MNG-6261)</name>
    </contributor>

   */
  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

     *
     * <ul>
     *   <li>For an empty list, it is 1 (base case).
     *   <li>When r numbers are added to a list of n-r elements, the number of permutations is
     *       increased by a factor of (n choose r).
     * </ul>
     */
    private static <E> int calculateSize(
        List<E> sortedInputList, Comparator<? super E> comparator) {
      int permutations = 1;
      int n = 1;
      int r = 1;

     *
     * <ul>
     *   <li>For an empty list, it is 1 (base case).
     *   <li>When r numbers are added to a list of n-r elements, the number of permutations is
     *       increased by a factor of (n choose r).
     * </ul>
     */
    private static <E> int calculateSize(
        List<E> sortedInputList, Comparator<? super E> comparator) {
      int permutations = 1;
      int n = 1;
      int r = 1;

    return super.values();
  }

  @VisibleForTesting
  @WeakOuter
  final class ValueSet extends Sets.ImprovedAbstractSet<V> implements ValueSetLink<K, 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;

    return super.values();
  }

  @VisibleForTesting
  @WeakOuter
  final class ValueSet extends Sets.ImprovedAbstractSet<V> implements ValueSetLink<K, 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

// Tests that blockGeneric (pure Go) and block (in assembly for some architectures) match.
func TestBlockGeneric(t *testing.T) {
	gen, asm := New().(*digest), New().(*digest)
	buf := make([]byte, BlockSize*20) // arbitrary factor
	rand.Read(buf)
	blockGeneric(gen, buf)
	block(asm, buf)
	if *gen != *asm {
		t.Error("block and blockGeneric resulted in different states")
	}
}

func TestAllocations(t *testing.T) {

			return false
		}
	}

	// DefaultLit is necessary for non-constants too: n might be 1.1<<k.
	// TODO(gri) The length argument requirements for (array/slice) make
	// are the same as for index expressions. Factor the code better;
	// for instance, indexlit might be called here and incorporate some
	// of the bounds checks done for make.
	n = DefaultLit(n, types.Types[types.TINT])
	*np = n

	return true
}