Assert.assertEquals(0.50d, prob, epsilon);
        }
      }
    }
  }

  /**
   * 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);

   *
   * <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;
    }

   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**

          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A"
        }
      ],
      "title": "Incoming Success Rate (non-5xx responses)",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },
      "fieldConfig": {
        "defaults": {

          "format": "time_series",
          "intervalFactor": 1,
          "range": true,
          "refId": "A"
        }
      ],
      "title": "Client Success Rate (non-5xx responses)",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${datasource}"
      },
      "fieldConfig": {
        "defaults": {

	}
}

func TestMigrateWithUniqueIndex(t *testing.T) {
	type UserWithUniqueIndex struct {
		ID    int
		Name  string    `gorm:"size:20;index:idx_name,unique"`
		Date  time.Time `gorm:"index:idx_name,unique"`
		UName string    `gorm:"uniqueIndex;size:255"`
	}

	DB.Migrator().DropTable(&UserWithUniqueIndex{})
	if err := DB.AutoMigrate(&UserWithUniqueIndex{}); err != nil {

				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 {

- The `EndpointSliceTerminatingCondition` feature gate was graduated to GA. The gate is now locked and will be removed in v1.28. ([#113351](https://github.com/kubernetes/kubernetes/pull/113351), [@andrewsykim](https://github.com/andrewsykim))
- `DynamicKubeletConfig` feature gate has been removed from the API server.
  Dynamic kubelet reconfiguration now can't be used even when older nodes are still

   *
   * The Least Recently Used page replacement algorithm was chosen due to its simplicity, high hit
   * rate, and ability to be implemented with O(1) time complexity. The initial LRU implementation
   * operates per-segment rather than globally for increased implementation simplicity. We expect
   * the cache hit rate to be similar to that of a global LRU algorithm.
   */

  // Constants

  /**

```

MinIO server also supports [NATS Streaming mode](http://nats.io/documentation/streaming/nats-streaming-intro/) that offers additional functionality like `At-least-once-delivery`, and `Publisher rate limiting`. To configure MinIO server to send notifications to NATS Streaming server, update the MinIO server configuration file as follows: