public class LoadingCacheSingleThreadBenchmark {
  @Param({"1000", "2000"})
  int maximumSize;

  @Param("5000")
  int distinctKeys;

  @Param("4")
  int segments;

  // 1 means uniform likelihood of keys; higher means some keys are more popular
  // tweak this to control hit rate
  @Param("2.5")
  double concentration;

  Random random = new Random();

  LoadingCache<Integer, Integer> cache;

  int max;

  public NavigableSet<E> headSet(E toElement, boolean inclusive) {
    return new SafeTreeSet<>(delegate.headSet(checkValid(toElement), inclusive));
  }

  @Override
  public @Nullable E higher(E e) {
    return delegate.higher(checkValid(e));
  }

  @Override
  public boolean isEmpty() {
    return delegate.isEmpty();
  }

  @Override
  public Iterator<E> iterator() {
    return delegate.iterator();

    }

    @Override
    public SortedSet<E> headSet(E toElement) {
      return headSet(toElement, false);
    }

    @Override
    public @Nullable E higher(E e) {
      assertTrue(Thread.holdsLock(mutex));
      return delegate().higher(e);
    }

    @Override
    public @Nullable E lower(E e) {
      return delegate().lower(e);
    }

    @Override
    public @Nullable E pollFirst() {

		ipList       []string
		sortedIPList []string
	}{
		// Default case of two ips one with higher octet moves
		// to the beginning of the list.
		{
			ipList:       []string{"127.0.0.1", "10.0.0.13"},
			sortedIPList: []string{"10.0.0.13", "127.0.0.1"},
		},
		// With multiple types of octet, chooses a higher octet.
		{
			ipList:       []string{"127.0.0.1", "172.0.21.1", "192.168.1.106"},

 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of
 * higher space consumption.
 *
 * <p>This class extends {@link Number}, but does not define methods such as {@code

    }

    @Override
    public SortedSet<E> headSet(E toElement) {
      return headSet(toElement, false);
    }

    @Override
    public @Nullable E higher(E e) {
      assertTrue(Thread.holdsLock(mutex));
      return delegate().higher(e);
    }

    @Override
    public @Nullable E lower(E e) {
      return delegate().lower(e);
    }

    @Override
    public @Nullable E pollFirst() {

      @Override
      int resultIndex(int higherIndex) {
        return higherIndex - 1;
      }
    },
    /**
     * Return the index of the next higher element in the list, or {@code list.size()} if there is
     * no such element.
     */
    NEXT_HIGHER {
      @Override
      public int resultIndex(int higherIndex) {
        return higherIndex;
      }
    },
    /**

 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of
 * higher space consumption.
 *
 * <p>This class extends {@link Number}, but does not define methods such as {@code

- Greater than or equal to 2, if `REDUCED_REDUNDANCY` parity is not set.
- Greater than `REDUCED_REDUNDANCY` parity, if it is set.

Parity blocks can not be higher than data blocks, so `STANDARD` storage class parity can not be higher than N/2. (N being total number of drives)

The default value for the `STANDARD` storage class depends on the number of volumes in the erasure set:

| Erasure Set Size | Default Parity (EC:N) |

				totalPut += result.Uploads
				totalGet += result.Downloads
			}

			if totalGet < throughputHighestGet {
				// Following check is for situations
				// when Writes() scale higher than Reads()
				// - practically speaking this never happens
				// and should never happen - however it has
				// been seen recently due to hardware issues
				// causes Reads() to go slower than Writes().
				//