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()

					f, err := strconv.ParseFloat(s, bits)
					if err != nil {
						log.Fatal(err)
					}
					next := math.Nextafter
					if bits == 32 {
						next = func(g, h float64) float64 {
							return float64(math.Nextafter32(float32(g), float32(h)))
						}
					}
					test(f, bits)
					test(next(f, bigger), bits)
					test(next(f, smaller), bits)
					if nfail > 50 {
						t.Fatalf("stopping test early")

yields a typed constant.
</p>

<pre>
uint(iota)               // iota value of type uint
float32(2.718281828)     // 2.718281828 of type float32
complex128(1)            // 1.0 + 0.0i of type complex128
float32(0.49999999)      // 0.5 of type float32
float64(-1e-1000)        // 0.0 of type float64
string('x')              // "x" of type string
string(0x266c)           // "♬" of type string

	// maps
	_ = make /* ERROR "arguments" */ (map[int]string, 10, 20)
	_ = make(map[int]float32, int /* ERROR "not an expression" */)
	_ = make(map[int]float32, "foo" /* ERROR "cannot convert" */)
	_ = make(map[int]float32, 10)
	_ = make(map[int]float32, n)
	_ = make(map[int]float32, int64(n))
	_ = make(map[string]bool, 10.0)
	_ = make(map[string]bool, 10.0<<s)

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;

  TF_Tensor* result = TFE_TensorHandleResolve(compute_fn_outputs[0], status);
  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  EXPECT_EQ(TF_NumDims(result), 0);
  float output_value = *static_cast<float*>(TF_TensorData(result));
  // (1 + 2) * (2 + 1) / 3 + 5 should be 8
  EXPECT_FLOAT_EQ(output_value, 8.0);

  TF_DeleteTensor(result);
  TFE_DeleteTensorHandle(compute_fn_outputs[0]);

	// 386:"MOVL\t[$]-252645135","IMULL",-"IDIVL"
	// arm64:`SMULH`,-`DIV`
	// arm:`MOVW`,`MUL`,-`.*udiv`
	b := n2 / 17 // signed

	return a, b
}

func FloatDivs(a []float32) float32 {
	// amd64:`DIVSS\s8\([A-Z]+\),\sX[0-9]+`
	// 386/sse2:`DIVSS\s8\([A-Z]+\),\sX[0-9]+`
	return a[1] / a[2]
}

func Pow2Mods(n1 uint, n2 int) (uint, int) {
	// 386:"ANDL\t[$]31",-"DIVL"

// 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 {

	case nil:
		var v bool = t /* ERRORx `cannot use .* in variable declaration` */
		_ = v
	case int:
		var v int = t
		_ = v
	case float32, complex64:
		var v float32 = t /* ERRORx `cannot use .* in variable declaration` */
		_ = v
	default:
		var v float32 = t /* ERRORx `cannot use .* in variable declaration` */
		_ = v
	}

	var t I
	switch t.(type) {
	case T: