return cmp.Compare(aVal.Uint(), bVal.Uint())
	case reflect.String:
		return cmp.Compare(aVal.String(), bVal.String())
	case reflect.Float32, reflect.Float64:
		return cmp.Compare(aVal.Float(), bVal.Float())
	case reflect.Complex64, reflect.Complex128:
		a, b := aVal.Complex(), bVal.Complex()
		if c := cmp.Compare(real(a), real(b)); c != 0 {
			return c
		}

// RUN: tf-opt %s -tfl-prepare-quantize-dynamic-range="enable-float16-quantization" -tfl-quantize="enable-dynamic-range-quantization=true" | FileCheck --check-prefix=CHECK %s

// CHECK-LABEL: QuantizeUnidirectionalLstm
func.func @QuantizeUnidirectionalLstm(%arg0: tensor<1x2x3xf32>) -> (tensor<1x2x3xf32>) {
  %1 = "tfl.pseudo_const"() {value = dense<[[0.1]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>

// to the decoded value.
func (z *Float) GobDecode(buf []byte) error {
	if len(buf) == 0 {
		// Other side sent a nil or default value.
		*z = Float{}
		return nil
	}
	if len(buf) < 6 {
		return errors.New("Float.GobDecode: buffer too small")
	}

	if buf[0] != floatGobVersion {
		return fmt.Errorf("Float.GobDecode: encoding version %d not supported", buf[0])
	}

	oldPrec := z.prec

//
// The `input_type`, `output_type` and `inference_type` can be float32 / qint8 /
// int8 / int16.
//
// Returns a partially quantized model if `fully_quantize` is false. Returns a
// non-OK status if the quantization fails.
//
// When `verify_numeric` is true, the model will have it's original float ops
// and NumericVerify ops to compare output values from the quantized and float
// ops.
//

}

func (v *Int) Set(value int64) {
	v.i.Store(value)
}

// Float is a 64-bit float variable that satisfies the [Var] interface.
type Float struct {
	f atomic.Uint64
}

func (v *Float) Value() float64 {
	return math.Float64frombits(v.f.Load())
}

func (v *Float) String() string {
	return string(v.appendJSON(nil))
}

func (v *Float) appendJSON(b []byte) []byte {

	A3 /* ERROR "invalid recursive type" */ [10]struct {
		x A4
	}
	A4 [10]A3

	F1 func()
	F2 func(x, y, z float32)
	F3 func(x, y, x /* ERROR "redeclared" */ float32)
	F4 func() (x, y, x /* ERROR "redeclared" */ float32)
	F5 func(x int) (x /* ERROR "redeclared" */ float32)
	F6 func(x ...int)

	I1 interface{}
	I2 interface {
		m1()
	}
	I3 interface {
		m1()

namespace impl {

TEST(OStreamTest, TestInt64) {
  Int64 x(42);
  std::stringstream stream;
  stream << x;
  ASSERT_EQ(stream.str(), "42");
}

TEST(OStreamTest, TestFloat32) {
  Float32 x(0.375);  // Exactly representable as a float.
  std::stringstream stream;
  stream << x;
  ASSERT_EQ(stream.str(), "0.375");
}

TEST(OStreamTest, TestString) {
  String s("foo");
  std::stringstream stream;
  stream << s;

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

type MyBool bool
type MyComplex128 complex128
type MyComplex64 complex64
type MyFloat32 float32
type MyFloat64 float64
type MyInt int
type MyInt8 int8
type MyInt16 int16
type MyInt32 int32
type MyInt64 int64
type MyString string
type MyUint uint
type MyUint8 uint8
type MyUint16 uint16
type MyUint32 uint32

		err = errors.New("entity too large")
		return
	}

	configuredPartSize := minPartSize
	// Use floats for part size for all calculations to avoid
	// overflows during float64 to int64 conversions.
	partSizeFlt := float64(objectSize / maxPartsCount)
	partSizeFlt = math.Ceil(partSizeFlt/float64(configuredPartSize)) * float64(configuredPartSize)

	// Part size.
	partSize = int64(partSizeFlt)
	if partSize == 0 {

	slices.Sort(pauses)
	var total uint64
	for _, ns := range pauses {
		total += ns
	}
	// ns/op for this benchmark is average STW time.
	b.ReportMetric(float64(total)/float64(b.N), "ns/op")
	b.ReportMetric(float64(pauses[len(pauses)*95/100]), "p95-ns/STW")
	b.ReportMetric(float64(pauses[len(pauses)*50/100]), "p50-ns/STW")
}

func BenchmarkPoolExpensiveNew(b *testing.B) {
	// Populate a pool with items that are expensive to construct