*
     * @param service The service that failed.
     */
    public void failure(Service service) {}
  }

  /**
   * An encapsulation of all of the state that is accessed by the {@linkplain ServiceListener
   * service listeners}. This is extracted into its own object so that {@link ServiceListener} could

    }
    // The top bit is set, which means that the double value is going to come from the top 53 bits.
    // So we can ignore the bottom 11, except for rounding. We can unsigned-shift right 1, aka
    // unsigned-divide by 2, and convert that. Then we'll get exactly half of the desired double
    // value. But in the specific case where the bottom two bits of the original number are 01, we
    // want to replace that with 1 in the shifted value for correct rounding.

   * using a secondary hash (Marsaglia XorShift) to try to find a
   * free slot.
   *
   * The table size is capped because, when there are more threads
   * than CPUs, supposing that each thread were bound to a CPU,
   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of

    return tmp;
  }

  private static long random() {
    return randomSource.nextLong();
  }

  // A random value that cannot be 0 and that is unsigned-less-than or equal
  // to the given dividend, so that we don't have half of our divisions being
  // trivial because the divisor is bigger than the dividend.
  // Using remainder here does not give us a uniform distribution but it should
  // not have a big impact on the measurement.

MinIO Batch jobs is an MinIO object management feature that lets you manage objects at scale. Jobs currently supported by MinIO

- Replicate objects between buckets on multiple sites

Upcoming Jobs

- Copy objects from NAS to MinIO
- Copy objects from HDFS to MinIO

## Replication Job
To perform replication via batch jobs, you create a job. The job consists of a job description YAML that describes

import static java.util.Objects.requireNonNull;

/**
 * Collects problems that were encountered during project building.
 *
 * @param <P> The type of the problem.
 * @since 4.0.0
 */
@Experimental
public interface ProblemCollector<P extends BuilderProblem> {
    /**
     * Returns {@code true} if there is at least one problem collected with severity equal or more severe than

     */
    public static char[] addAll(final char[] a, final char[] b) {
        if (a == null) {
            return b;
        }
        if (b == null) {
            return a;
        }
        if (a.length == 0) {
            return b;
        }
        if (b.length == 0) {
            return a;
        }
        final char[] array = (char[]) Array.newInstance(char.class, a.length + b.length);

   * worry that we might trigger the fallback to the JDK-backed implementation? (The varargs one
   * _could_, so we could keep it as it is. Or we could convince ourselves that hash flooding is
   * unlikely in practice there, too.)
   */

  /**
   * Returns an immutable set containing the given elements, minus duplicates, in the order each was

 *
 * <p>However, when {@link CollectionSize.Require} is used to annotate a test it behaves normally
 * (i.e. it requires the collection instance under test to be a certain size for the test to run).
 * Note that this means a test should not require more than one CollectionSize, since a particular
 * collection instance can only be one size at once.
 *
 * @author George van den Driessche
 */

     * part, so higher integers would appear (in this case linearly) more often
     * than lower ones.
     */
    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();
    double hit = req - misses.get();

    // Currently, this is going into /dev/null, but I'll fix that
    System.out.println("hit rate: " + hit / req);
  }