SerializableTester.reserializeAndAssert(list);
    assertTrue(list instanceof RandomAccess);

    new IteratorTester<String>(
        5, UNMODIFIABLE, asList("foo", "bar", "baz"), IteratorTester.KnownOrder.KNOWN_ORDER) {
      @Override
      protected Iterator<String> newTargetIterator() {
        return Lists.asList("foo", new String[] {"bar", "baz"}).iterator();
      }
    }.test();
  }

    SerializableTester.reserializeAndAssert(list);
    assertTrue(list instanceof RandomAccess);

    new IteratorTester<String>(
        5, UNMODIFIABLE, asList("foo", "bar", "baz"), IteratorTester.KnownOrder.KNOWN_ORDER) {
      @Override
      protected Iterator<String> newTargetIterator() {
        return Lists.asList("foo", new String[] {"bar", "baz"}).iterator();
      }
    }.test();
  }

				return errDiskNotFound
			}
			return disks[index].ReadMultiple(ctx, req, resps[index])
		}, index)
	}

	dataArray := make([]ReadMultipleResp, 0, len(req.Files))
	// Merge results. They should come in order from each.
	for _, wantFile := range req.Files {
		quorum := 0
		toAdd := ReadMultipleResp{
			Bucket: req.Bucket,
			Prefix: req.Prefix,
			File:   wantFile,
		}
		for i := range resps {

        removeFrom.remove();
        result = true;
      }
    }
    return result;
  }

  /**
   * Determines whether two iterators contain equal elements in the same order. More specifically,
   * this method returns {@code true} if {@code iterator1} and {@code iterator2} contain the same
   * number of elements and every element of {@code iterator1} is equal to the corresponding element

	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned
	// in different order per erasure set, this wider spread is needed when
	// there are lots of buckets with different order of objects in them.
	r := rand.New(rand.NewSource(time.Now().UnixNano()))
	permutes := r.Perm(len(buckets))
	// Add new buckets first
	for _, idx := range permutes {

	for metricName, mv := range m.values {
		desc := m.descriptors[metricName]
		promDesc := desc.toPromDesc(namePrefix, extraLabels)
		for _, v := range mv {
			// labelValues is in the same order as the variable labels in the
			// descriptor.
			labelValues := make([]string, 0, len(v.Labels))
			for _, k := range desc.VariableLabels {
				labelValues = append(labelValues, v.Labels[k])
			}

	}

	// Calculate full object size.
	var objectSize int64

	// Calculate consolidated actual size.
	var objectActualSize int64

	// Order online disks in accordance with distribution order.
	// Order parts metadata in accordance with distribution order.
	onlineDisks, partsMetadata = shuffleDisksAndPartsMetadataByIndex(onlineDisks, partsMetadata, fi)

	// Save current erasure metadata for validation.

   *
   * <p>{@linkplain Executor#execute executed} tasks have a happens-before order as defined in the
   * Java Language Specification. Tasks execute with the same happens-before order that the function
   * calls to {@link Executor#execute `execute()`} that submitted those tasks had.
   *
   * <p>The executor uses {@code delegate} in order to {@link Executor#execute execute} each task in

        }
      };

  /**
   * Returns a new {@code MatchResult} that corresponds to a successful match. Apache Harmony (used
   * in Android) requires a successful match in order to generate a {@code MatchResult}:
   * http://goo.gl/5VQFmC
   */
  private static MatchResult createMatchResult() {
    Matcher matcher = Pattern.compile(".").matcher("X");
    matcher.find();

        }
      };

  /**
   * Returns a new {@code MatchResult} that corresponds to a successful match. Apache Harmony (used
   * in Android) requires a successful match in order to generate a {@code MatchResult}:
   * http://goo.gl/5VQFmC
   */
  private static MatchResult createMatchResult() {
    Matcher matcher = Pattern.compile(".").matcher("X");
    matcher.find();