* update expose command description to add deployment ([#23246](https://github.com/kubernetes/kubernetes/pull/23246), [@AdoHe](https://github.com/AdoHe))
* Add a rate limiter to the GCE cloudprovider ([#23019](https://github.com/kubernetes/kubernetes/pull/23019), [@alex-mohr](https://github.com/alex-mohr))

          assertThat(prob).isWithin(epsilon).of(0.50d);
        }
      }
    }
  }

  /**
   * Checks that a Hasher returns the same HashCode when given the same input, and also that the
   * collision rate looks sane.
   */
  static void assertInvariants(HashFunction hashFunction) {
    int objects = 100;
    Set<HashCode> hashcodes = Sets.newHashSetWithExpectedSize(objects);
    Random random = new Random(314159);

 * the updated response if it has changed, or a short 'not modified' response if the client's copy
 * is still valid. Such responses increment both the network count and hit count.
 *
 * The best way to improve the cache hit rate is by configuring the web server to return cacheable
 * responses. Although this client honors all [HTTP/1.1 (RFC 7234)][rfc_7234] cache headers, it
 * doesn't cache partial responses.
 *
 * ## Force a Network Response
 *

&d.a, out, buf) } else { // We have "buffered" output still to copy. if d.n < d.rate { x := copy(out, d.a[d.n:d.rate]) d.n += x out = out[x:] } if len(out) == 0 { return } klmd(d.function()|nopad, &d.a, out, nil) } if len(out)%d.rate == 0 { // The final permutation was not performed, // so there is no "buffered" output. d.n = d.rate } else { d.n = len(out) % d.rate } return } func (d *Digest) function() code { switch d.rate { case rateK256: return shake_128 case rateK448: return sha3_224 case rateK512:...

		Help:      "Average replication transfer rate in bytes/sec",
		Type:      gaugeMetric,
	}
}

func getClusterReplMaxTransferRateMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: replicationSubsystem,
		Name:      maxTransferRate,
		Help:      "Maximum replication transfer rate in bytes/sec seen since server uptime",
		Type:      gaugeMetric,

    Closer closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return countBySkipping(in);
    } catch (IOException e) {
      // skip may not be supported... at any rate, try reading
    } finally {
      closer.close();
    }

    closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return ByteStreams.exhaust(in);

   *
   * <p>See http://en.wikipedia.org/wiki/Bloom_filter#Probability_of_false_positives for the
   * formula.
   *
   * @param n expected insertions (must be positive)
   * @param p false positive rate (must be 0 < p < 1)
   */
  @VisibleForTesting
  static long optimalNumOfBits(long n, double p) {
    if (p == 0) {
      p = Double.MIN_VALUE;
    }
    return (long) (-n * Math.log(p) / SQUARED_LOG_TWO);

      * if the new state is "partialDisruption" or "fullDisruption" we call a user defined function that returns a new QPS to use (default 1/10 of the default rate, and the default rate respectively),
      * if the new state is "normal" we resume normal operation (go back to default limiter settings),
      * if all zones in the cluster are in "fullDisruption" state we stop all evictions.

				return nil, err
			}
			defer RemoveAll(dirPath)
			return ioutilx.ReadFile(fn)
		}
	case madmin.ProfilerCPUIO:
		// at 10k or more goroutines fgprof is likely to become
		// unable to maintain its sampling rate and to significantly
		// degrade the performance of your application
		// https://github.com/felixge/fgprof#fgprof
		if n := runtime.NumGoroutine(); n > 10000 && !globalIsCICD {

* vSphere Volume Plugin Implementation ([#24947](https://github.com/kubernetes/kubernetes/pull/24947), [@abithap](https://github.com/abithap))
* ResourceQuota controller uses rate limiter to prevent hot-loops in error situations ([#25748](https://github.com/kubernetes/kubernetes/pull/25748), [@derekwaynecarr](https://github.com/derekwaynecarr))