public static <E extends @Nullable Object> CompactHashSet<E> createWithExpectedSize(
      int expectedSize) {
    return new CompactHashSet<>(expectedSize);
  }

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**

              // number of expected insertions or don't run the test for so long.
              // Don't forget, the bloom filter slowly saturates over time and the
              // expected false positive probability goes up!
              assertThat(bloomFilter.expectedFpp()).isLessThan(safetyFalsePositiveRate);
            } while (stopwatch.elapsed(SECONDS) < 1);
          }
        };

              // number of expected insertions or don't run the test for so long.
              // Don't forget, the bloom filter slowly saturates over time and the
              // expected false positive probability goes up!
              assertThat(bloomFilter.expectedFpp()).isLessThan(safetyFalsePositiveRate);
            } while (stopwatch.elapsed(SECONDS) < 1);
          }
        };

    return new CompactHashMap<>(expectedSize);
  }

  private static final Object NOT_FOUND = new Object();

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**

 * <p>The average time complexity of the computation is O(N) in the size of the dataset. There is a
 * worst case time complexity of O(N^2). You are extremely unlikely to hit this quadratic case on
 * randomly ordered data (the probability decreases faster than exponentially in N), but if you are
 * passing in unsanitized user data then a malicious user could force it. A light shuffle of the

    return new CompactHashMap<>(expectedSize);
  }

  private static final Object NOT_FOUND = new Object();

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**

* Default logging subsystem's resiliency was greatly improved, fluentd memory consumption and OOM error probability was reduced. ([#37021](https://github.com/kubernetes/kubernetes/pull/37021), [@Crassirostris](https://github.com/Crassirostris))



# v1.5.0-beta.1

* `kubectl create [secret | configmap] --from-file` now works on Windows with fully-qualified paths ([#63439](https://github.com/kubernetes/kubernetes/pull/63439), [@liggitt](https://github.com/liggitt))
* Portability across systems has been increased by the use of `/usr/bin/env` in all script shebangs. ([#62657](https://github.com/kubernetes/kubernetes/pull/62657), [@matthyx](https://github.com/matthyx))