}

  /**
   * Similar to load64, but allows offset + 8 > input.length, padding the result with zeroes. This
   * has to explicitly reverse the order of the bytes as it packs them into the result which makes
   * it slower than the native version.
   *
   * @param input the input bytes
   * @param offset the offset into the array at which to start reading
   * @param length the number of bytes from the input to read

e","_longMonthsParse","_shortMonthsParse","firstDayOfYear","firstDayOfWeek","_weekdays","_weekdaysMin","_weekdaysShort","weekdayName","_weekdaysParseExact","_weekdaysParse","_shortWeekdaysParse","_minWeekdaysParse","_fullWeekdaysParse","charAt","isLower","langData","mathAbs","addSubtract$1","absCeil","daysToMonths","monthsToDays","makeAs","alias","as","asMilliseconds","asSeconds","asMinutes","asHours","asDays","asWeeks","asMonths","asQuarters","asYears","makeGetter","thresholds","relativeTime$1"...

    return stringWriter.toString();
  }

  /**
   * Returns the stack trace of {@code throwable}, possibly providing slower iteration over the full
   * trace but faster iteration over parts of the trace. Here, "slower" and "faster" are defined in
   * comparison to the normal way to access the stack trace, {@link Throwable#getStackTrace()

         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope

         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope

    // for a list to reject setting an element, such as when the list does not permit
    // duplicate elements. For both of those cases,  we need to fall back to a slower
    // implementation.
    int from = 0;
    int to = 0;

    for (; from < list.size(); from++) {
      T element = list.get(from);
      if (!predicate.apply(element)) {
        if (from > to) {

    74,
    72,
    70,
    69,
    68,
    67,
    67,
    66,
    66,
    66,
    66
  };

  /*
   * binomial(biggestSimpleBinomials[k], k) doesn't need to use the slower GCD-based impl, but
   * binomial(biggestSimpleBinomials[k] + 1, k) does.
   */
  @VisibleForTesting
  static final int[] biggestSimpleBinomials = {
    Integer.MAX_VALUE,
    Integer.MAX_VALUE,

   *
   * if (guardExpression) {
   *    throw new BadException(badMsg(...));
   * }
   *
   * The alternative natural refactorings into void or Exception-returning methods are much slower.
   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *

- Revised `OpenAPI v2` fetching for CustomResourceDefinitions. CRDs are now aggregated lazily,
  which improves resource usage during installation of many CRDs. As a result, the first request
  to fetch the OpenAPI may be slower. ([#118808](https://github.com/kubernetes/kubernetes/pull/118808), [@Jefftree](https://github.com/Jefftree))