* writes. The {@link Cache#cleanUp} method of the returned cache will also perform maintenance, but
 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues

	VEXTRACTPS $-1, X1, AX       // c4e37917c8ff
	VPEXTRB $-1, X1, AX          // c4e37914c8ff
	VPEXTRD $-1, X1, AX          // c4e37916c8ff
	VPEXTRQ $-1, X1, AX          // c4e3f916c8ff
	// EVEX: High-16 X registers.
	VADDPD X30, X1, X0          // 6291f50858c6
	VADDPD X2, X29, X0          // 62f1950058c2
	VADDPD X30, X29, X0         // 6291950058c6
	VADDPD X2, X1, X28          // 6261f50858e2

		)

		if r.Source.Snowball.Disable != nil && !*r.Source.Snowball.Disable && r.Source.Type.isMinio() && r.Target.Type.isMinio() {
			go func() {
				// Snowball currently needs the high level minio-go Client, not the Core one
				cl, err := minio.New(u.Host, &minio.Options{
					Creds:        credentials.NewStaticV4(cred.AccessKey, cred.SecretKey, cred.SessionToken),
					Secure:       u.Scheme == "https",

    }
    LinkedHashSet<E> set = new LinkedHashSet<>();
    Iterables.addAll(set, elements);
    return set;
  }

  /**
   * Creates a {@code LinkedHashSet} instance, with a high enough "initial capacity" that it
   * <i>should</i> hold {@code expectedSize} elements without growth. This behavior cannot be
   * broadly guaranteed, but it is observed to be true for OpenJDK 1.7. It also can't be guaranteed

//   However since convenience is not a primary goal, we don't do this.
// * Devices are not in this API.  Instead, they are created/used internally
//   and the API just provides high level controls over the number of
//   devices of each type.

#ifdef __cplusplus
extern "C" {
#endif

// --------------------------------------------------------------------------

   * and accesses that were performed on the map. The queue is drained on writes and when it exceeds
   * its capacity threshold.
   *
   * 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