*       simply switch over to use the JDK implementation wholesale if probable hash flooding is
   *       detected, sacrificing the compactness guarantee in very rare cases in exchange for much
   *       more reliable worst-case behavior.
   *   <li>null, if no entries have yet been added to the map
   * </ul>
   */
  @CheckForNull private transient Object table;

  /**

// is not covered by any unit, SeekPC returns [ErrUnknownPC] and the
// position of the reader is undefined.
//
// Because compilation units can describe multiple regions of the
// executable, in the worst case SeekPC must search through all the
// ranges in all the compilation units. Each call to SeekPC starts the
// search at the compilation unit of the last call, so in general

			// Current setting is 16 bytes, which relates to 2x worst case memory
			// wastage (when all but one subobjects are unreachable).
			// 8 bytes would result in no wastage at all, but provides less
			// opportunities for combining.
			// 32 bytes provides more opportunities for combining,
			// but can lead to 4x worst case wastage.
			// The best case winning is 8x regardless of block size.
			//

   *       simply switch over to use the JDK implementation wholesale if probable hash flooding is
   *       detected, sacrificing the compactness guarantee in very rare cases in exchange for much
   *       more reliable worst-case behavior.
   *   <li>null, if no entries have yet been added to the map
   * </ul>
   */
  @CheckForNull private transient Object table;

  /**

func (r *Requirement) String() string {
	var sb strings.Builder
	sb.Grow(
		// length of r.key
		len(r.key) +
			// length of 'r.operator' + 2 spaces for the worst case ('in' and 'notin')
			len(r.operator) + 2 +
			// length of 'r.strValues' slice times. Heuristically 5 chars per word
			+5*len(r.strValues))
	if r.operator == selection.DoesNotExist {
		sb.WriteString("!")
	}

// also sweep pages (e.g., for a large allocation), it can pass a
// non-zero callerSweepPages to leave that many pages unswept.
//
// deductSweepCredit makes a worst-case assumption that all spanBytes
// bytes of the ultimately allocated span will be available for object
// allocation.
//
// deductSweepCredit is the core of the "proportional sweep" system.

// according to the mapping function. If mapping returns a negative value, the character is
// dropped from the string with no replacement.
func Map(mapping func(rune) rune, s string) string {
	// In the worst case, the string can grow when mapped, making
	// things unpleasant. But it's so rare we barge in assuming it's
	// fine. It could also shrink but that falls out naturally.

						//   never gets executed.
						// - in worst case, make both ends (of the intersection) a big number,i.e.,
						//   M intersected with N instead of M with 1 (or 1 with N)
						// - in random case, each pod failed by a random plugin, and also the moveEvent
						//   is randomized.
						if tt.name == "baseline" {
							podInfo = q.newQueuedPodInfo(p)
						} else if tt.name == "worst" {
							// Each pod failed by all plugins.

That's the entirety of long division: scale the inputs, and then loop over
each output position, guessing, checking, and correcting the next output digit.

For a 2n-digit number divided by an n-digit number (the worst size-n case for
division complexity), this algorithm uses n+1 iterations, each of which must do
at least the 1-by-n-digit multiplication q̂·v. That's O(n) iterations of
O(n) time each, so O(n²) time overall.

   * negation is cheaper to precompute than the matcher itself; it tries to build small hash tables
   * for matchers that only match a few characters, and so on. In the worst-case scenario, it
   * constructs an eight-kilobyte bit array and queries that. In many situations this produces a
   * matcher which is faster to query than the original.
   */
  @GwtIncompatible // SmallCharMatcher