* saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

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

  /**

  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);
          }
        };

	dataScannerStartDelay            = 1 * time.Minute                  // Time to wait on startup and between cycles.

	healDeleteDangling   = true
	healObjectSelectProb = 1024 // Overall probability of a file being scanned; one in n.
)

var (
	globalHealConfig heal.Config

	// Sleeper values are updated when config is loaded.

    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;

  /**

    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

* 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

    you will have to set custom session_options in your `RunConfig`.
*   Moved Distributions and Bijectors from `tf.contrib.distributions` to
    [Tensorflow Probability (TFP)](https://github.com/tensorflow/probability).
    `tf.contrib.distributions` is now deprecated and will be removed by the end
    of 2018.
*   Adding new endpoints for existing tensorflow symbols. These endpoints are