return x, y, z
}

func indexLoad(b0 []float32, b1 float32, idx int) float32 {
	// arm64:`FMOVS\s\(R[0-9]+\)\(R[0-9]+<<2\),\sF[0-9]+`
	return b0[idx] * b1
}

func indexStore(b0 []float64, b1 float64, idx int) {
	// arm64:`FMOVD\sF[0-9]+,\s\(R[0-9]+\)\(R[0-9]+<<3\)`
	b0[idx] = b1
}

// ----------- //
//    Fused    //
// ----------- //

func FusedAdd32(x, y, z float32) float32 {
	// s390x:"FMADDS\t"

			//   * math.Float32bits(float32(math.NaN()))+1
			in: `go test fuzz v1
float32(-0)
float64(-0)
float32(+Inf)
float32(-Inf)
float32(NaN)
float64(+Inf)
float64(-Inf)
float64(NaN)
math.Float64frombits(0x7ff8000000000002)
math.Float32frombits(0x7fc00001)`,
		},
		{
			desc: "int variations",
			// Although we arbitrarily choose default integer bases (0 or 16), we may

		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>

import jsinterop.annotations.JsPackage;

/** Web specializations for {@link Floats} methods. */
public abstract class FloatsMethodsForWeb {

  @JsMethod(name = "Math.min", namespace = JsPackage.GLOBAL)
  public static native float min(float... array);

  @JsMethod(name = "Math.max", namespace = JsPackage.GLOBAL)
  public static native float max(float... array);

	case reflect.Uint64:
		u64 := rv.Uint()
		if u64 >= 1<<63 {
			return nil, fmt.Errorf("uint64 values with high bit set are not supported")
		}
		return int64(u64), nil
	case reflect.Float32, reflect.Float64:
		return rv.Float(), nil
	case reflect.Bool:
		return rv.Bool(), nil
	case reflect.Slice:
		ek := rv.Type().Elem().Kind()
		if ek == reflect.Uint8 {
			return rv.Bytes(), nil
		}

}

// Return a tensor handle containing a 100x100 matrix of floats
TFE_TensorHandle* TestMatrixTensorHandle100x100(TFE_Context* ctx);

// Return a tensor handle containing a 3x2 matrix of doubles
TFE_TensorHandle* DoubleTestMatrixTensorHandle3X2(TFE_Context* ctx);

// Return a tensor handle containing a 3x2 matrix of floats
TFE_TensorHandle* TestMatrixTensorHandle3X2(TFE_Context* ctx);

		b.Run(fmt.Sprintf("Size%d", size), func(b *testing.B) {
			floats := make([]float64, size)
			for i := range floats {
				floats[i] = float64(i)
			}
			midpoint := len(floats) / 2
			needle := (floats[midpoint] + floats[midpoint+1]) / 2
			b.ResetTimer()
			for i := 0; i < b.N; i++ {
				slices.BinarySearch(floats, needle)
			}
		})
	}
}

type myStruct struct {
	a, b, c, d string

// 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

// license that can be found in the LICENSE file.

// Test that nil checks are removed.
// Optimization is enabled.

package p

func f5(p *float32, q *float64, r *float32, s *float64) float64 {
	x := float64(*p) // ERROR "generated nil check"
	y := *q          // ERROR "generated nil check"
	*r = 7           // ERROR "generated nil check"
	*s = 9           // ERROR "generated nil check"
	return x + y