p := make([]int, n) // re-usable slice for Shuffle generator
			tests := [...]struct {
				name string
				fn   func() int
			}{
				{name: "Int32N", fn: func() int { return int(r.Int32N(int32(nfact))) }},
				{name: "Perm", fn: func() int { return encodePerm(r.Perm(n)) }},
				{name: "Shuffle", fn: func() int {
					// Generate permutation using Shuffle.
					for i := range p {
						p[i] = i
					}

// of bits of hash value that are consumed in shuffle sharding a deck of the given size
// to a hand of the given size.  The result is meaningful only if
// 1 <= handSize <= deckSize <= 1<<26.
func RequiredEntropyBits(deckSize, handSize int) int {
	return int(math.Ceil(math.Log2(float64(deckSize)) * float64(handSize)))
}

// Dealer contains some necessary parameters and provides some methods for shuffle sharding.
// Dealer is thread-safe.

	}
	shuffledPartsMetadata = make([]FileInfo, len(partsMetadata))
	// Shuffle slice xl metadata for expected distribution.
	for index := range partsMetadata {
		blockIndex := distribution[index]
		shuffledPartsMetadata[blockIndex-1] = partsMetadata[index]
	}
	return shuffledPartsMetadata
}

// shuffleDisks - shuffle input disks slice depending on the
// erasure distribution. Return shuffled slice of disks with

        Collections.shuffle(servers);
        tryDownloadKeyFromServer(toLongIdHexString(keyId), servers, builder, keyring -> findMatchingKey(keyId, keyring, builder));
    }

    @Override
    public void findByFingerprint(byte[] fingerprint, PublicKeyResultBuilder builder) {
        List<URI> servers = new ArrayList<>(keyServers);
        Collections.shuffle(servers);

	"mutexprofile":         true,
	"mutexprofilefraction": true,
	"outputdir":            true,
	"parallel":             true,
	"run":                  true,
	"short":                true,
	"shuffle":              true,
	"skip":                 true,
	"timeout":              true,
	"trace":                true,
	"v":                    true,
}

var passAnalyzersToVet = map[string]bool{

            if (line.startsWith("\t")) {
                data.add(new String[] {k, line.trim()});
            } else {
                k = line;
            }
        }
        Collections.shuffle(data);

        long t0 = System.nanoTime();
        Graph g = new Graph();
        data.parallelStream().forEach(s -> {
            try {
                g.addEdge(s[0], s[1]);
            } catch (Exception e) {

	// StartRequest begins the process of handling a request.  If the
	// request gets queued and the number of queues is greater than 1
	// then StartRequest uses the given hashValue as the source of
	// entropy as it shuffle-shards the request into a queue.  The
	// descr1 and descr2 values play no role in the logic but appear
	// in log messages.  This method always returns quickly (without
	// waiting for the request to be dequeued).  If this method

  private final boolean allowNulls;

  // Package-private so that it can be extended.
  MinimalCollection(Class<? super @NonNull E> type, boolean allowNulls, E... contents) {
    // TODO: consider making it shuffle the contents to test iteration order.
    this.contents = Platform.clone(contents);
    this.type = type;
    this.allowNulls = allowNulls;

    if (!allowNulls) {
      for (Object element : contents) {

            Iterator<T> iterator = super.iterator()
            while (iterator.hasNext()) {
                asList.add(iterator.next())
            }
            Collections.shuffle(asList, random)
            asList.iterator()
        }
    }

	s2 := byteorder.BeUint32(src[8:12])
	s3 := byteorder.BeUint32(src[12:16])

	// First round just XORs input with key.
	s0 ^= xk[0]
	s1 ^= xk[1]
	s2 ^= xk[2]
	s3 ^= xk[3]

	// Middle rounds shuffle using tables.
	// Number of rounds is set by length of expanded key.
	nr := len(xk)/4 - 2 // - 2: one above, one more below
	k := 4
	var t0, t1, t2, t3 uint32
	for r := 0; r < nr; r++ {