boolean := []bool{false, true}
			is6 := boolean[c.Rand.Intn(2)]
			ip := generateRandomIP(is6, c)
			obj.Name = ip
		},
		func(obj *networking.ServiceCIDR, c fuzz.Continue) {
			c.FuzzNoCustom(obj) // fuzz self without calling this function again
			boolean := []bool{false, true}

			is6 := boolean[c.Rand.Intn(2)]
			primary := generateRandomCIDR(is6, c)
			obj.Spec.CIDRs = []string{primary}

		},
	}
	for _, tt := range tests {
		t.Run(tt.name, func(t *testing.T) {
			LocalIPAddrs = tt.lipas
			_, isV6, err := getLocalIP(tt.isDS)
			if err != nil {
				t.Errorf("getLocalIP err: %s", err)
			}
			if isV6 != tt.expected {
				t.Errorf("unexpected EnableIPv6 result, expected: %t got: %t", tt.expected, isV6)
			}
		})
	}

func main() {
	chki8(int8(i8), ci8&0xff-1<<8)
	chki8(int8(i16), ci16&0xff)
	chki8(int8(i32), ci32&0xff-1<<8)
	chki8(int8(i64), ci64&0xff)
	chki8(int8(u8), cu8&0xff-1<<8)
	chki8(int8(u16), cu16&0xff)
	chki8(int8(u32), cu32&0xff)
	chki8(int8(u64), cu64&0xff)
	//	chki8(int8(f32), 0)
	//	chki8(int8(f64), 0)

	chki16(int16(i8), ci8&0xffff-1<<16)
	chki16(int16(i16), ci16&0xffff-1<<16)
	chki16(int16(i32), ci32&0xffff-1<<16)

		case ti16*100 + ti8:
			i16 = int16(v); i8 = int8(i16); w = big(i8)
		case ti16*100 + tu8:
			i16 = int16(v); u8 = uint8(i16); w = big(u8)
		case ti16*100 + ti16:
			i16 = int16(v); i16 = int16(i16); w = big(i16)
		case ti16*100 + tu16:
			i16 = int16(v); u16 = uint16(i16); w = big(u16)
		case ti16*100 + ti32:
			i16 = int16(v); i32 = int32(i16); w = big(i32)
		case ti16*100 + tu32:

	var ia [20]I0
	var b bool
	var s string
	var i8 int8
	var i16 int16
	var i32 int32
	var i64 int64
	var u8 uint8
	var u16 uint16
	var u32 uint32
	var u64 uint64

	f()

	ia[0] = "xxx"
	ia[1] = 12345
	ia[2] = true

	s = "now is"
	ia[3] = s
	b = false
	ia[4] = b

	i8 = 29
	ia[5] = i8
	i16 = 994
	ia[6] = i16
	i32 = 3434
	ia[7] = i32
	i64 = 1234567
	ia[8] = i64

bool IsCompatibleTypeWithTFLCastOp(Type type) {
  auto elemType = getElementTypeOrSelf(type);
  // F16, F32, F64, BF16 types are allowed.
  if (elemType.isBF16() || elemType.isF16() || elemType.isF32() ||
      elemType.isF64())
    return true;

  // I1, I4, I8, I16, I32, I64 types are allowed.
  if (elemType.isInteger(1) || elemType.isInteger(4) || elemType.isInteger(8) ||
      elemType.isInteger(16) || elemType.isInteger(32) ||

	// pp does not implement error.
)

func second(a ...interface{}) interface{} {
	return a[1]
}

func main() {
	// Test equality.
	if u16 != iu16 {
		panic("u16 != iu16")
	}
	if u16 != ju16 {
		panic("u16 != ju16")
	}
	if u32 != iu32 {
		panic("u32 != iu32")
	}
	if u32 != ju32 {
		panic("u32 != ju32")
	}
	if u64 != iu64 {

tensor<640x!quant.uniform<i32:f32, 1.601389680352559E-4>>, %arg15: tensor<2048x!quant.uniform<i16:f32, 4.3700000969693065E-4>>, %arg16: tensor<2048x!quant.uniform<i16:f32, 1.1000000085914508E-4>>, %arg17: tensor<2048x!quant.uniform<i16:f32, 1.6799999866634607E-4>>, %arg18: tensor<2048x!quant.uniform<i16:f32, 1.55999994603917E-4>>, %arg19: tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>, %arg20: tensor<1x2048x!quant.uniform<i16:f32, 4.8799999058246613E-4>>) -> tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>...

tensor<640x!quant.uniform<i32:f32, 1.601389680352559E-4>>, %arg15: tensor<2048x!quant.uniform<i16:f32, 4.3700000969693065E-4>>, %arg16: tensor<2048x!quant.uniform<i16:f32, 1.1000000085914508E-4>>, %arg17: tensor<2048x!quant.uniform<i16:f32, 1.6799999866634607E-4>>, %arg18: tensor<2048x!quant.uniform<i16:f32, 1.55999994603917E-4>>, %arg19: tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>, %arg20: tensor<1x2048x!quant.uniform<i16:f32, 4.8799999058246613E-4>>) -> tensor<1x640x!quant.uniform<i8:f32, 0.09671100229024887:10>>...

// CHECK-SAME: input_to_cell_intermediate = tensor<!quant.uniform<i16<-32767:32767>:f32, 1.2207403790398877E-4>>
// CHECK-SAME: input_to_forget_intermediate = tensor<!quant.uniform<i16<-32767:32767>:f32, 4.8829615161595508E-4>>
// CHECK-SAME: input_to_input_intermediate = tensor<!quant.uniform<i16<-32767:32767>:f32, 9.7659230323191015E-4>>
// CHECK-SAME: input_to_output_intermediate = tensor<!quant.uniform<i16<-32767:32767>:f32, 3.0518509475997192E-5>>