@SuppressWarnings("ThreadPriorityCheck") // doing our best to test for races
              protected Schedule getNextSchedule() throws Exception {
                // Explicitly yield to increase the probability of a pathological scheduling.
                Thread.yield();
                return new Schedule(0, SECONDS);
              }
            };
          }
        };
    service.useBarriers = false;

// in case of SSE-S3. However, storing the ETag of an encrypted
// object in plaintext may reveal some information about the object.
// For example, two objects with the same ETag are identical with
// a very high probability.
//
// Therefore, an S3 implementation may encrypt an ETag before storing
// it. In this case, the stored ETag may not be a well-formed S3 ETag.
// For example, it can be larger due to a checksum added by authenticated

  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);
        };

	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.

  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;

  /**

    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;

  /**

    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

prime by retrying the whole process, since 65537 is // probably only a factor of one of p-1 or q-1, but the probability // of this check failing is only 1/65537, so it doesn't matter. continue } if e.ExpandFor(λ).Mul(d, λ).IsOne() == 0 { return nil, errors.New("rsa: internal error: e*d != 1 mod λ(N)") } // FIPS 186-5, A.1.1(3) requires checking that d > 2^(nlen / 2). // // The probability of this check failing when d is derived from // (e, p, q) is roughly // // 2^(nlen/2) / 2^nlen = 2^(-nlen/2)...