AbstractNetworkTest.validateNetwork(network);

      Collections.shuffle(nodeList, gen);
      for (Integer node : nodeList) {
        assertThat(network.addNode(node)).isTrue();
      }
      Collections.shuffle(edgeList, gen);
      for (Object edge : edgeList) {
        assertThat(
                network.addEdge(

      AbstractNetworkTest.validateNetwork(network);

      Collections.shuffle(nodeList, gen);
      for (Integer node : nodeList) {
        assertThat(network.addNode(node)).isTrue();
      }
      Collections.shuffle(edgeList, gen);
      for (Object edge : edgeList) {
        assertThat(
                network.addEdge(

	return shuffledPartsMetadata
}

// shuffleDisks - shuffle input disks slice depending on the
// erasure distribution. Return shuffled slice of disks with
// their expected distribution.
func shuffleDisks(disks []StorageAPI, distribution []int) (shuffledDisks []StorageAPI) {
	if distribution == nil {
		return disks
	}
	shuffledDisks = make([]StorageAPI, len(disks))
	// Shuffle disks for expected distribution.

			NextCycle: oldCache.Info.NextCycle,
		},
		Cache: make(map[string]dataUsageEntry, len(oldCache.Cache)),
	}

	// Put all buckets into channel.
	bucketCh := make(chan BucketInfo, len(buckets))

	// Shuffle buckets to ensure total randomness of buckets, being scanned.
	// Otherwise same set of buckets get scanned across erasure sets always.
	// at any given point in time. This allows different buckets to be scanned

		if len(disks) < er.setDriveCount/2 {
			return fmt.Errorf("not enough drives (found=%d, healing=%d, total=%d) are available to heal `%s`", len(disks), healing, er.setDriveCount, tracker.disk.String())
		}

		rand.Shuffle(len(disks), func(i, j int) {
			disks[i], disks[j] = disks[j], disks[i]
		})

		expectedDisks := len(disks)/2 + 1
		fallbackDisks := disks[expectedDisks:]
		disks = disks[:expectedDisks]

		askDisks = len(disks) // use all available drives
	}

	// However many we ask, versions must exist on ~50%
	listingQuorum := (askDisks + 1) / 2

	if askDisks > 0 && len(disks) > askDisks {
		rand.Shuffle(len(disks), func(i, j int) {
			disks[i], disks[j] = disks[j], disks[i]
		})
		fallbackDisks = disks[askDisks:]
		disks = disks[:askDisks]
	}

	// How to resolve results.

	if seed != -1 {
		rand.Seed(seed)
	}
	return rand.Intn(max-min) + min
}

// Randomizes the order of bytes in the byte array
// using Knuth Fisher-Yates shuffle algorithm.
func randomizeBytes(s []byte, seed int64) []byte {
	// special value -1 means no explicit seeding.
	if seed != -1 {
		rand.Seed(seed)
	}
	n := len(s)
	var j int

    *   `tf.data.Dataset.zip` now supports Python-style zipping, i.e. `Dataset.zip(a, b, c)`.
    * `tf.data.Dataset.shuffle` now supports `tf.data.UNKNOWN_CARDINALITY` When doing a "full shuffle" using  `dataset = dataset.shuffle(dataset.cardinality())`. But remember, a "full shuffle" will load the full dataset into memory so that it can be shuffled, so make sure to only use this with small datasets or datasets of small objects (like filenames).

*   `tf.math`

						askDisks = len(disks) // use all available drives
					}

					var fallbackDisks []StorageAPI
					if askDisks > 0 && len(disks) > askDisks {
						rand.Shuffle(len(disks), func(i, j int) {
							disks[i], disks[j] = disks[j], disks[i]
						})
						fallbackDisks = disks[askDisks:]
						disks = disks[:askDisks]
					}

					requestedVersions := 0