{"1234", "%.3x", "4d2"},
	{"1234", "%.4x", "04d2"},
	{"1234", "%.5x", "004d2"},
	{"1234", "%.6x", "0004d2"},
	{"-1234", "%.3x", "-4d2"},
	{"-1234", "%.4x", "-04d2"},
	{"-1234", "%.5x", "-004d2"},
	{"-1234", "%.6x", "-0004d2"},

	{"1234", "%8.3x", "     4d2"},
	{"1234", "%8.4x", "    04d2"},
	{"1234", "%8.5x", "   004d2"},
	{"1234", "%8.6x", "  0004d2"},
	{"-1234", "%8.3x", "    -4d2"},

  // CHECK-NEXT:  return [[FIND]] : tensor<*xi64>
  func.return %1 : tensor<*xi64>
}

// -----

// Test for case with import and size ops.
func.func @hashtable_import_then_size(%arg0: tensor<5x!tf_type.string>) -> tensor<i64> {

	mulSinkU64 uint64
)

func BenchmarkMulconstI32(b *testing.B) {
	// 3x = 2x + x
	b.Run("3", func(b *testing.B) {
		x := int32(1)
		for i := 0; i < b.N; i++ {
			x *= 3
		}
		mulSinkI32 = x
	})
	// 5x = 4x + x
	b.Run("5", func(b *testing.B) {
		x := int32(1)
		for i := 0; i < b.N; i++ {
			x *= 5
		}
		mulSinkI32 = x
	})
	// 12x = 8x + 4x
	b.Run("12", func(b *testing.B) {
		x := int32(1)

		key   string
	}{
		{Name(""), basicLatin2xTag{"2x"}, "2x", "$%-/"},
		{Name(""), basicLatin3xTag{"3x"}, "3x", "0123456789"},
		{Name(""), basicLatin4xTag{"4x"}, "4x", "ABCDEFGHIJKLMO"},
		{Name(""), basicLatin5xTag{"5x"}, "5x", "PQRSTUVWXYZ_"},
		{Name(""), basicLatin6xTag{"6x"}, "6x", "abcdefghijklmno"},
		{Name(""), basicLatin7xTag{"7x"}, "7x", "pqrstuvwxyz"},
		{Name(""), miscPlaneTag{"いろはにほへと"}, "いろはにほへと", "色は匂へど"},

	rfast := testing.Benchmark(BenchmarkFastNonASCII)
	tslow := rslow.NsPerOp()
	tfast := rfast.NsPerOp()

	// Optimization should be good for at least 2x, but be forgiving.
	// On the ARM simulator we see closer to 1.5x.
	speedup := float64(tslow) / float64(tfast)
	want := 1.8
	if runtime.GOARCH == "arm" {
		want = 1.3
	}
	if speedup < want {
		// TODO(rsc): doesn't work on linux-amd64 or darwin-amd64 builders, nor on

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//
// *Set construction*: sets is roughly 1kb allocations per 250 items. smallsets is 0.
// *Contains* sets is O(1). smallsets is O(logn). smallsets is typically faster up to about 5 elements.
//
//	At 1000 items, it is roughly 5x slower (30ns vs 5ns).
type Set[T constraints.Ordered] struct {
	items []T
}

// NewPresorted creates a new Set with the given items.

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func waitCondition(t testing.TB, delay time.Duration, fn func(time.Duration) bool) {
	t.Helper()
	start := time.Now()
	var since time.Duration
	for !fn(since) {
		time.Sleep(delay)
		delay = 2*delay - (delay / 2) // 1.5x, rounded up
		since = time.Since(start)
	}

// method calls that request a traversal scan this list, rather than walk
// the AST, and perform type filtering using efficient bit sets.
//
// Experiments suggest the inspector's traversals are about 2.5x faster
// than ast.Inspect, but it may take around 5 traversals for this
// benefit to amortize the inspector's construction cost.
// If efficiency is the primary concern, do not use Inspector for
// one-off traversals.