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.

		t.Errorf("Stable wasn't stable on %d ints", n)
	}

	// already sorted
	data.initB()
	Stable(data)
	if !IsSorted(data) {
		t.Errorf("Stable shuffled sorted %d ints (order)", n)
	}
	if !data.inOrder() {
		t.Errorf("Stable shuffled sorted %d ints (stability)", n)
	}

	// sorted reversed
	for i := 0; i < len(data); i++ {
		data[i].a = len(data) - i
	}
	data.initB()
	Stable(data)

// first pass over the data. It's an argument here because we merge the first
// pass with the Huffman decoding.
//
// This also implements the “single array” method from the bzip2 source code
// which leaves the output, still shuffled, in the bottom 8 bits of tt with the
// index of the next byte in the top 24-bits. The index of the first byte is
// returned.
func inverseBWT(tt []uint32, origPtr uint, c []uint) uint32 {
	sum := uint(0)

		// symbols reliably. Sort by name but use a stable sort, so that
		// any original entries with the same name (all DWARFVAR symbols
		// have empty names but different relocation sets) are not shuffled.
		// TODO: Find a better place and optimize to only sort TOC symbols.
		sort.SliceStable(ctxt.Data, func(i, j int) bool {
			return ctxt.Data[i].Name < ctxt.Data[j].Name
		})
	}

	for i := range p {
		p[i] = i
	}
	r.Shuffle(len(p), func(i, j int) { p[i], p[j] = p[j], p[i] })
	return p
}

// Shuffle pseudo-randomizes the order of elements.
// n is the number of elements. Shuffle panics if n < 0.
// swap swaps the elements with indexes i and j.
func (r *Rand) Shuffle(n int, swap func(i, j int)) {
	if n < 0 {
		panic("invalid argument to Shuffle")
	}

		m[i] = m[j]
		m[j] = i
	}
	return m
}

// Shuffle pseudo-randomizes the order of elements.
// n is the number of elements. Shuffle panics if n < 0.
// swap swaps the elements with indexes i and j.
func (r *Rand) Shuffle(n int, swap func(i, j int)) {
	if n < 0 {
		panic("invalid argument to Shuffle")
	}

	// Fisher-Yates shuffle: https://en.wikipedia.org/wiki/Fisher%E2%80%93Yates_shuffle

	if !bytes.Equal(b1, b2) {
		t.Errorf("mismatch after re-seed:\n%x\n%x", b1, b2)
	}
}

func TestShuffleSmall(t *testing.T) {
	// Check that Shuffle allows n=0 and n=1, but that swap is never called for them.
	r := New(NewSource(1))
	for n := 0; n <= 1; n++ {
		r.Shuffle(n, func(i, j int) { t.Fatalf("swap called, n=%d i=%d j=%d", n, i, j) })
	}
}

			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
					}

	MIX(a, b, c, d, e, 0x5A827999)

#define ROUND1x(a, b, c, d, e, index) \
	SHUFFLE(index); \
	FUNC1(a, b, c, d, e); \
	MIX(a, b, c, d, e, 0x5A827999)

#define ROUND2(a, b, c, d, e, index) \
	SHUFFLE(index); \
	FUNC2(a, b, c, d, e); \
	MIX(a, b, c, d, e, 0x6ED9EBA1)

#define ROUND3(a, b, c, d, e, index) \
	SHUFFLE(index); \
	FUNC3(a, b, c, d, e); \
	MIX(a, b, c, d, e, 0x8F1BBCDC)

	cf.String("fuzztime", "", "")
	cf.String("fuzzminimizetime", "", "")
	cf.StringVar(&testTrace, "trace", "", "")
	cf.Var(&testV, "v", "")
	cf.Var(&testShuffle, "shuffle", "")

	for name, ok := range passFlagToTest {
		if ok {
			cf.Var(cf.Lookup(name).Value, "test."+name, "")
		}
	}
}

// outputdirFlag implements the -outputdir flag.